- a(int) - Method in class org.nd4j.graph.FlatProperties
-
- a(FlatArray, int) - Method in class org.nd4j.graph.FlatProperties
-
- abs(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- abs(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- abs(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- Abs - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Abs elementwise function
- Abs(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Abs
-
- Abs(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Abs
-
- Abs(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Abs
-
- Abs() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Abs
-
- Abs(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Abs
-
- Abs(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Abs
-
- Abs(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Abs
-
- Abs(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Abs
-
- abs(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Abs function
- abs(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Abs function
- abs(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Return the absolute value of the given complex number
- absGreaterThan(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- absGreaterThanOrEqual(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- absLessThan(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- absLessThanOrEqual(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- AbstractDataSetNormalizer<S extends NormalizerStats> - Class in org.nd4j.linalg.dataset.api.preprocessor
-
Abstract base class for normalizers
that act upon
DataSet instances
or iterators
- AbstractDataSetNormalizer(NormalizerStrategy<S>) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
- AbstractMultiDataSetNormalizer<S extends NormalizerStats> - Class in org.nd4j.linalg.dataset.api.preprocessor
-
Abstract base class for normalizers that act upon
MultiDataSet instances or iterators
- AbstractMultiDataSetNormalizer() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- AbstractMultiDataSetNormalizer(NormalizerStrategy<S>) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- AbstractNormalizer - Class in org.nd4j.linalg.dataset.api.preprocessor
-
Abstract base class for normalizers for both DataSet and MultiDataSet processing
- AbstractNormalizer() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.AbstractNormalizer
-
- AbstractStorage<T> - Interface in org.nd4j.linalg.compression
-
This interface describes basic Key-Value storage, where Key is any object, and Value is INDArray located "somewhere else"
- AbsValueGreaterOrEqualsThan - Class in org.nd4j.linalg.indexing.conditions
-
Boolean condition on absolute value: abs(x) >= value
- AbsValueGreaterOrEqualsThan() - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueGreaterOrEqualsThan
-
Special constructor for pairwise boolean operations.
- AbsValueGreaterOrEqualsThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueGreaterOrEqualsThan
-
- AbsValueGreaterThan - Class in org.nd4j.linalg.indexing.conditions
-
Boolean condition on absolute value: abs(x) > value
- AbsValueGreaterThan() - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan
-
Special constructor for pairwise boolean operations.
- AbsValueGreaterThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan
-
- AbsValueLessOrEqualsThan - Class in org.nd4j.linalg.indexing.conditions
-
Boolean condition on absolute value: abs(x) <= value
- AbsValueLessOrEqualsThan() - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueLessOrEqualsThan
-
Special constructor for pairwise boolean operations.
- AbsValueLessOrEqualsThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueLessOrEqualsThan
-
- AbsValueLessThan - Class in org.nd4j.linalg.indexing.conditions
-
Boolean condition on absolute value: abs(x) < value
- AbsValueLessThan() - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueLessThan
-
Special constructor for pairwise boolean operations.
- AbsValueLessThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueLessThan
-
- accumulate(Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method sums given arrays and stores them to a new target array
- accumulate(INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method sums given arrays and stores them to a new array
- accumulate(INDArray, Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method sums given arrays and stores them to a given target array
- accumulate(INDArray, INDArray[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method sums given arrays and stores them to a given target array
- accumulate(INDArray, INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
This method sums given arrays to target
- ACCUMULATION - Static variable in class org.nd4j.graph.OpType
-
- Accumulation - Interface in org.nd4j.linalg.api.ops
-
An accumulation is an op that given:
x -> the origin ndarray
y -> the pairwise ndarray
n -> the number of times to accumulate
Of note here in the extra arguments.
- ACCUMULATION3 - Static variable in class org.nd4j.graph.OpType
-
- acos(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- acos(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- acos(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- ACos - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Log elementwise function
- ACos(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACos
-
- ACos(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACos
-
- ACos(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACos
-
- ACos() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACos
-
- ACos(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACos
-
- ACos(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACos
-
- ACos(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACos
-
- ACos(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACos
-
- acos(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- acos(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- acos(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Return the sin value of the given complex number
- acosh(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- acosh(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- acosh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- ACosh - Class in org.nd4j.linalg.api.ops.impl.transforms
-
ACosh elementwise function
- ACosh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACosh
-
- ACosh(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACosh
-
- ACosh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACosh
-
- ACosh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACosh
-
- ACosh(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACosh
-
- ACosh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACosh
-
- ACosh(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACosh
-
- ACosh(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACosh
-
- activateFrame(String, boolean) - Method in class org.nd4j.autodiff.samediff.flow.FlowPath
-
This method triggers frame state
- Activation - Enum in org.nd4j.linalg.activations
-
This enum is the factory for the activation function.
- ActivationCube - Class in org.nd4j.linalg.activations.impl
-
f(x) = x^3
- ActivationCube() - Constructor for class org.nd4j.linalg.activations.impl.ActivationCube
-
- ActivationELU - Class in org.nd4j.linalg.activations.impl
-
f(x) = alpha * (exp(x) - 1.0); x < 0
= x ; x>= 0
alpha defaults to 1, if not specified
- ActivationELU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationELU
-
- ActivationELU(double) - Constructor for class org.nd4j.linalg.activations.impl.ActivationELU
-
- ActivationHardSigmoid - Class in org.nd4j.linalg.activations.impl
-
f(x) = min(1, max(0, 0.2*x + 0.5))
- ActivationHardSigmoid() - Constructor for class org.nd4j.linalg.activations.impl.ActivationHardSigmoid
-
- ActivationHardTanH - Class in org.nd4j.linalg.activations.impl
-
??? 1, if x > 1
f(x) = ??? -1, if x < -1
??? x, otherwise
- ActivationHardTanH() - Constructor for class org.nd4j.linalg.activations.impl.ActivationHardTanH
-
- ActivationIdentity - Class in org.nd4j.linalg.activations.impl
-
f(x) = x
- ActivationIdentity() - Constructor for class org.nd4j.linalg.activations.impl.ActivationIdentity
-
- ActivationLReLU - Class in org.nd4j.linalg.activations.impl
-
Leaky RELU
f(x) = max(0, x) + alpha * min(0, x)
alpha defaults to 0.01
- ActivationLReLU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationLReLU
-
- ActivationLReLU(double) - Constructor for class org.nd4j.linalg.activations.impl.ActivationLReLU
-
- ActivationRationalTanh - Class in org.nd4j.linalg.activations.impl
-
Rational tanh approximation
From https://arxiv.org/pdf/1508.01292v3
f(x) = 1.7159 * tanh(2x/3)
where tanh is approximated as follows,
tanh(y) ~ sgn(y) * { 1 - 1/(1+|y|+y^2+1.41645*y^4)}
Underlying implementation is in native code
- ActivationRationalTanh() - Constructor for class org.nd4j.linalg.activations.impl.ActivationRationalTanh
-
- ActivationRectifiedTanh - Class in org.nd4j.linalg.activations.impl
-
Rectified tanh
Essentially max(0, tanh(x))
Underlying implementation is in native code
- ActivationRectifiedTanh() - Constructor for class org.nd4j.linalg.activations.impl.ActivationRectifiedTanh
-
- ActivationReLU - Class in org.nd4j.linalg.activations.impl
-
f(x) = max(0, x)
- ActivationReLU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationReLU
-
- ActivationRReLU - Class in org.nd4j.linalg.activations.impl
-
- ActivationRReLU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationRReLU
-
- ActivationRReLU(double, double) - Constructor for class org.nd4j.linalg.activations.impl.ActivationRReLU
-
- ActivationSELU - Class in org.nd4j.linalg.activations.impl
-
https://arxiv.org/pdf/1706.02515.pdf
- ActivationSELU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSELU
-
- ActivationSigmoid - Class in org.nd4j.linalg.activations.impl
-
f(x) = 1 / (1 + exp(-x))
- ActivationSigmoid() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSigmoid
-
- ActivationSoftmax - Class in org.nd4j.linalg.activations.impl
-
f_i(x) = exp(x_i - shift) / sum_j exp(x_j - shift)
where shift = max_i(x_i)
- ActivationSoftmax() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSoftmax
-
- ActivationSoftPlus - Class in org.nd4j.linalg.activations.impl
-
f(x) = log(1+e^x)
- ActivationSoftPlus() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSoftPlus
-
- ActivationSoftSign - Class in org.nd4j.linalg.activations.impl
-
f_i(x) = x_i / (1+|x_i|)
- ActivationSoftSign() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSoftSign
-
- ActivationSwish - Class in org.nd4j.linalg.activations.impl
-
f(x) = x * sigmoid(x)
- ActivationSwish() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSwish
-
- ActivationTanH - Class in org.nd4j.linalg.activations.impl
-
f(x) = (exp(x) - exp(-x)) / (exp(x) + exp(-x))
- ActivationTanH() - Constructor for class org.nd4j.linalg.activations.impl.ActivationTanH
-
- AdaDelta - Class in org.nd4j.linalg.learning.config
-
http://www.matthewzeiler.com/pubs/googleTR2012/googleTR2012.pdf
https://arxiv.org/pdf/1212.5701v1.pdf
- AdaDelta() - Constructor for class org.nd4j.linalg.learning.config.AdaDelta
-
- AdaDelta.Builder - Class in org.nd4j.linalg.learning.config
-
- AdaDeltaUpdater - Class in org.nd4j.linalg.learning
-
http://www.matthewzeiler.com/pubs/googleTR2012/googleTR2012.pdf
https://arxiv.org/pdf/1212.5701v1.pdf
- AdaDeltaUpdater(AdaDelta) - Constructor for class org.nd4j.linalg.learning.AdaDeltaUpdater
-
- AdaGrad - Class in org.nd4j.linalg.learning.config
-
Vectorized Learning Rate used per Connection Weight
Adapted from: http://xcorr.net/2014/01/23/adagrad-eliminating-learning-rates-in-stochastic-gradient-descent/
See also http://cs231n.github.io/neural-networks-3/#ada
- AdaGrad() - Constructor for class org.nd4j.linalg.learning.config.AdaGrad
-
- AdaGrad(double) - Constructor for class org.nd4j.linalg.learning.config.AdaGrad
-
- AdaGrad(double, double) - Constructor for class org.nd4j.linalg.learning.config.AdaGrad
-
- AdaGrad(ISchedule) - Constructor for class org.nd4j.linalg.learning.config.AdaGrad
-
- AdaGrad(ISchedule, double) - Constructor for class org.nd4j.linalg.learning.config.AdaGrad
-
- AdaGrad - Class in org.nd4j.linalg.learning.legacy
-
Legacy AdaGrad implementation for use in NLP etc applications
- AdaGrad(int, int, double) - Constructor for class org.nd4j.linalg.learning.legacy.AdaGrad
-
- AdaGrad(int, int) - Constructor for class org.nd4j.linalg.learning.legacy.AdaGrad
-
- AdaGrad(int[], double) - Constructor for class org.nd4j.linalg.learning.legacy.AdaGrad
-
- AdaGrad(double) - Constructor for class org.nd4j.linalg.learning.legacy.AdaGrad
-
- AdaGrad(double, double) - Constructor for class org.nd4j.linalg.learning.legacy.AdaGrad
-
- AdaGrad.Builder - Class in org.nd4j.linalg.learning.config
-
- AdaGradUpdater - Class in org.nd4j.linalg.learning
-
Vectorized Learning Rate used per Connection Weight
Adapted from: http://xcorr.net/2014/01/23/adagrad-eliminating-learning-rates-in-stochastic-gradient-descent/
See also http://cs231n.github.io/neural-networks-3/#ada
- AdaGradUpdater(AdaGrad) - Constructor for class org.nd4j.linalg.learning.AdaGradUpdater
-
- Adam - Class in org.nd4j.linalg.learning.config
-
The Adam updater.
- Adam() - Constructor for class org.nd4j.linalg.learning.config.Adam
-
- Adam(double) - Constructor for class org.nd4j.linalg.learning.config.Adam
-
- Adam(ISchedule) - Constructor for class org.nd4j.linalg.learning.config.Adam
-
- Adam(double, double, double, double) - Constructor for class org.nd4j.linalg.learning.config.Adam
-
- Adam.Builder - Class in org.nd4j.linalg.learning.config
-
- AdaMax - Class in org.nd4j.linalg.learning.config
-
The AdaMax updater, a variant of Adam.
- AdaMax() - Constructor for class org.nd4j.linalg.learning.config.AdaMax
-
- AdaMax(double) - Constructor for class org.nd4j.linalg.learning.config.AdaMax
-
- AdaMax(ISchedule) - Constructor for class org.nd4j.linalg.learning.config.AdaMax
-
- AdaMax(double, double, double, double) - Constructor for class org.nd4j.linalg.learning.config.AdaMax
-
- AdaMax.Builder - Class in org.nd4j.linalg.learning.config
-
- AdaMaxUpdater - Class in org.nd4j.linalg.learning
-
The AdaMax updater, a variant of Adam.
- AdaMaxUpdater(AdaMax) - Constructor for class org.nd4j.linalg.learning.AdaMaxUpdater
-
- AdamUpdater - Class in org.nd4j.linalg.learning
-
The Adam updater.
- AdamUpdater(Adam) - Constructor for class org.nd4j.linalg.learning.AdamUpdater
-
- add(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- add(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- add(double) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- add(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- add(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- add(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- add(Number, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- add(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- add(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
copy addition of two matrices
- add(INDArray, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
copy addition of two matrices
- add(IComplexNumber, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- add(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- add(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- add(IComplexNumber, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- add(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- add(Number, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- add(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- add(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
copy addition of two matrices
- add(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
copy addition of two matrices
- add(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- add(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
copy addition of two matrices
- add(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
copy addition of two matrices
- add(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- add(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- add(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- add(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- add(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- add(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- add(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- add(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- add(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- add(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Scalar addition (cloning)
- add(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- add(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Element-wise copy addition of two NDArrays
- add(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Element-wise copy addition of two NDArrays
- add(IComplexNumber) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- add(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- add(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats.Builder
-
Add rows of data to the statistics
- add(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats.Builder
-
Add rows of data to the statistics
- add(INDArray, INDArray) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.stats.NormalizerStats.Builder
-
Add rows of data to the statistics
- add(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
-
Broadcast add op.
- add(int, double) - Method in class org.nd4j.linalg.schedule.MapSchedule.Builder
-
Add a single point to the map schedule.
- add(X) - Method in class org.nd4j.list.BaseNDArrayList
-
- add(int, X) - Method in class org.nd4j.list.BaseNDArrayList
-
- add(X) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
-
- add(int, X) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
-
- add(Double) - Method in class org.nd4j.list.NDArrayList
-
- add(int, Double) - Method in class org.nd4j.list.NDArrayList
-
- addA(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
-
- addAlias(String) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Create *additional* API endpoints with different names (contrast
with rename_to, which affects the original name).
- addAliasBytes(ByteString) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Create *additional* API endpoints with different names (contrast
with rename_to, which affects the original name).
- addAll(Collection<? extends X>) - Method in class org.nd4j.list.BaseNDArrayList
-
- addAll(int, Collection<? extends X>) - Method in class org.nd4j.list.BaseNDArrayList
-
- addAll(Collection<? extends X>) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
-
- addAll(int, Collection<? extends X>) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
-
- addAll(Collection<? extends Double>) - Method in class org.nd4j.list.NDArrayList
-
- addAll(int, Collection<? extends Double>) - Method in class org.nd4j.list.NDArrayList
-
- addAllAlias(Iterable<String>) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Create *additional* API endpoints with different names (contrast
with rename_to, which affects the original name).
- addAllAllocationRecords(Iterable<? extends AllocationRecord>) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- addAllArgOrder(Iterable<String>) - Method in class org.tensorflow.framework.ApiDef.Builder
-
List of original in_arg names to specify new argument order.
- addAllAttr(Iterable<? extends ApiDef.Attr>) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- addAllAttr(Iterable<? extends OpDef.AttrDef>) - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- addAllAttrDefault(Iterable<? extends OpGenOverridesOuterClass.OpGenOverride.AttrDefault>) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- addAllAttribute(Iterable<? extends OnnxMlProto3.AttributeProto>) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- addAllAttribute(Iterable<? extends OnnxProto3.AttributeProto>) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- addAllAttrRename(Iterable<? extends OpGenOverridesOuterClass.OpGenOverride.Rename>) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- addAllB(Iterable<? extends Boolean>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(bool)"
- addAllBadConsumers(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.VersionDef.Builder
-
Specific consumer versions which are disallowed (e.g.
- addAllBoolVal(Iterable<? extends Boolean>) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_BOOL
- addAllBucket(Iterable<? extends Double>) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
repeated double bucket = 7 [packed = true];
- addAllBucketLimit(Iterable<? extends Double>) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- addAllConstNodeInfo(Iterable<? extends GraphTransferInfo.ConstNodeInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- addAllConstraint(Iterable<? extends KernelDef.AttrConstraint>) - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- addAllControlInput(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Ids of the control inputs for this node.
- addAllDcomplexVal(Iterable<? extends Double>) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX128.
- addAllDefaultGraphInputTensorShape(Iterable<? extends RemoteFusedGraphExecuteInfo.TensorShapeTypeProto>) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- addAllDefaultGraphOutputTensorShape(Iterable<? extends RemoteFusedGraphExecuteInfo.TensorShapeTypeProto>) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- addAllDevicePersistentTensorAllocIds(Iterable<? extends Long>) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 device_persistent_tensor_alloc_ids = 6;
- addAllDevStats(Iterable<? extends DeviceStepStats>) - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- addAllDim(Iterable<? extends OnnxMlProto3.TensorShapeProto.Dimension>) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- addAllDim(Iterable<? extends OnnxProto3.TensorShapeProto.Dimension>) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- addAllDim(Iterable<? extends TensorShapeProto.Dim>) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- addAllDims(Iterable<? extends Long>) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The shape of the tensor.
- addAllDims(Iterable<? extends Long>) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The shape of the tensor.
- addAllDoubleData(Iterable<? extends Double>) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- addAllDoubleData(Iterable<? extends Double>) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- addAllDoubleVal(Iterable<? extends Double>) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_DOUBLE.
- addAllEndpoint(Iterable<? extends ApiDef.Endpoint>) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- addAllExtent(Iterable<? extends TensorSliceProto.Extent>) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- addAllF(Iterable<? extends Float>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(float)"
- addAllFloatData(Iterable<? extends Float>) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- addAllFloatData(Iterable<? extends Float>) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- addAllFloats(Iterable<? extends Float>) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of floats
- addAllFloats(Iterable<? extends Float>) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of floats
- addAllFloatVal(Iterable<? extends Float>) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_FLOAT.
- addAllFullShape(Iterable<? extends Long>) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of the full variable.
- addAllFunc(Iterable<? extends NameAttrList>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- addAllFunction(Iterable<? extends FunctionDef>) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- addAllGradient(Iterable<? extends GradientDef>) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- addAllGraphInputNodeInfo(Iterable<? extends GraphTransferInfo.GraphInputNodeInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- addAllGraphInputNodeName(Iterable<String>) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph input node name
- addAllGraphOutputNodeInfo(Iterable<? extends GraphTransferInfo.GraphOutputNodeInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- addAllGraphOutputNodeName(Iterable<String>) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph output node name
- addAllGraphs(Iterable<? extends OnnxMlProto3.GraphProto>) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- addAllGraphs(Iterable<? extends OnnxProto3.GraphProto>) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- addAllHalfVal(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_HALF.
- addAllHostMemoryArg(Iterable<String>) - Method in class org.tensorflow.framework.KernelDef.Builder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- addAllHostPersistentTensorAllocIds(Iterable<? extends Long>) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 host_persistent_tensor_alloc_ids = 5;
- addAllI(Iterable<? extends Long>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(int)"
- addAllInArg(Iterable<? extends ApiDef.Arg>) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- addAllInitializer(Iterable<? extends OnnxMlProto3.TensorProto>) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- addAllInitializer(Iterable<? extends OnnxProto3.TensorProto>) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- addAllInput(Iterable<? extends OnnxMlProto3.ValueInfoProto>) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- addAllInput(Iterable<String>) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- addAllInput(Iterable<? extends OnnxProto3.ValueInfoProto>) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- addAllInput(Iterable<String>) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- addAllInput(Iterable<String>) - Method in class org.tensorflow.framework.NodeDef.Builder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- addAllInputArg(Iterable<? extends OpDef.ArgDef>) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- addAllInputInfo(Iterable<? extends CostGraphDef.Node.InputInfo>) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- addAllInputRename(Iterable<? extends OpGenOverridesOuterClass.OpGenOverride.Rename>) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- addAllInt32Data(Iterable<? extends Integer>) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- addAllInt32Data(Iterable<? extends Integer>) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- addAllInt64Data(Iterable<? extends Long>) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int64.
- addAllInt64Data(Iterable<? extends Long>) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int64.
- addAllInt64Val(Iterable<? extends Long>) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT64
- addAllInts(Iterable<? extends Long>) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of ints
- addAllInts(Iterable<? extends Long>) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of ints
- addAllIntVal(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- addAllKeys(Iterable<String>) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
Keys for tensors in the VariantTensorDataProto.
- addAllMaxByteSize(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
-
repeated int32 max_byte_size = 2;
- addAllMemory(Iterable<? extends AllocatorMemoryUsed>) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- addAllMetadataProps(Iterable<? extends OnnxMlProto3.StringStringEntryProto>) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- addAllMetadataProps(Iterable<? extends OnnxProto3.StringStringEntryProto>) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- addAllNode(Iterable<? extends OnnxMlProto3.NodeProto>) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- addAllNode(Iterable<? extends OnnxProto3.NodeProto>) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- addAllNode(Iterable<? extends CostGraphDef.Node>) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- addAllNode(Iterable<? extends NodeDef>) - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- addAllNodeDef(Iterable<? extends NodeDef>) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- addAllNodeInfo(Iterable<? extends GraphTransferInfo.NodeInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- addAllNodeInput(Iterable<? extends GraphTransferInfo.NodeInput>) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- addAllNodeInputInfo(Iterable<? extends GraphTransferInfo.NodeInputInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- addAllNodeOutputInfo(Iterable<? extends GraphTransferInfo.NodeOutputInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- addAllNodeStats(Iterable<? extends NodeExecStats>) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- addAllocationRecords(AllocationRecord) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- addAllocationRecords(int, AllocationRecord) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- addAllocationRecords(AllocationRecord.Builder) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- addAllocationRecords(int, AllocationRecord.Builder) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- addAllocationRecordsBuilder() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- addAllocationRecordsBuilder(int) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- addAllOp(Iterable<? extends ApiDef>) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- addAllOp(Iterable<? extends OpDef>) - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- addAllOp(Iterable<? extends OpGenOverridesOuterClass.OpGenOverride>) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
repeated .tensorflow.OpGenOverride op = 1;
- addAllOperator(Iterable<? extends OnnxOperatorsProto3.OperatorProto>) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- addAllOpsetImport(Iterable<? extends OnnxMlProto3.OperatorSetIdProto>) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- addAllOpsetImport(Iterable<? extends OnnxProto3.OperatorSetIdProto>) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- addAllOutArg(Iterable<? extends ApiDef.Arg>) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- addAllOutput(Iterable<? extends OnnxMlProto3.ValueInfoProto>) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- addAllOutput(Iterable<String>) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- addAllOutput(Iterable<? extends OnnxProto3.ValueInfoProto>) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- addAllOutput(Iterable<String>) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- addAllOutput(Iterable<? extends NodeOutput>) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- addAllOutputArg(Iterable<? extends OpDef.ArgDef>) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- addAllOutputInfo(Iterable<? extends CostGraphDef.Node.OutputInfo>) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- addAllOutputRename(Iterable<? extends OpGenOverridesOuterClass.OpGenOverride.Rename>) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- addAllReferencedTensor(Iterable<? extends AllocationDescription>) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- addAllResourceHandleVal(Iterable<? extends ResourceHandleProto>) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- addAllS(Iterable<? extends ByteString>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(string)"
- addAllScomplexVal(Iterable<? extends Float>) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX64.
- addAllShape(Iterable<? extends TensorShapeProto>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- addAllShape(Iterable<? extends Long>) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
repeated int64 shape = 3;
- addAllShape(Iterable<? extends Long>) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
repeated int64 shape = 2;
- addAllShape(Iterable<? extends Long>) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
repeated int64 shape = 2;
- addAllStringData(Iterable<? extends ByteString>) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For strings.
- addAllStringData(Iterable<? extends ByteString>) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For strings.
- addAllStrings(Iterable<? extends ByteString>) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of UTF-8 strings
- addAllStrings(Iterable<? extends ByteString>) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of UTF-8 strings
- addAllStringVal(Iterable<? extends ByteString>) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_STRING
- addAllTensor(Iterable<? extends TensorProto>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- addAllTensors(Iterable<? extends OnnxMlProto3.TensorProto>) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- addAllTensors(Iterable<? extends OnnxProto3.TensorProto>) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- addAllTensors(Iterable<? extends TensorProto>) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- addAllType(Iterable<? extends DataType>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
- addAllTypeValue(Iterable<Integer>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
- addAllUint32Val(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT32
- addAllUint64Data(Iterable<? extends Long>) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- addAllUint64Data(Iterable<? extends Long>) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- addAllUint64Val(Iterable<? extends Long>) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT64
- addAllValue(Iterable<? extends Summary.Value>) - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- addAllValueInfo(Iterable<? extends OnnxMlProto3.ValueInfoProto>) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- addAllValueInfo(Iterable<? extends OnnxProto3.ValueInfoProto>) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- addAllVariantVal(Iterable<? extends VariantTensorDataProto>) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- addAllVarOffset(Iterable<? extends Long>) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Offset of this variable into the full variable.
- addAllVarShape(Iterable<? extends Long>) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of this variable.
- addArgOrder(String) - Method in class org.tensorflow.framework.ApiDef.Builder
-
List of original in_arg names to specify new argument order.
- addArgOrderBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder
-
List of original in_arg names to specify new argument order.
- addArgs() - Method in class org.nd4j.linalg.api.ops.impl.accum.CumProd
-
- addArgs() - Method in class org.nd4j.linalg.api.ops.impl.accum.CumSum
-
- addArgs() - Method in class org.nd4j.linalg.api.ops.impl.accum.SigmoidCrossEntropyLoss
-
- addArgs() - Method in class org.nd4j.linalg.api.ops.impl.accum.SoftmaxCrossEntropyLoss
-
- addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNorm
-
- addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im
-
- addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D
-
- addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
-
- addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D
-
- addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col
-
- addArgs() - Method in class org.nd4j.linalg.api.ops.impl.shape.Eye
-
- addArgs() - Method in class org.nd4j.linalg.api.ops.impl.shape.OneHot
-
- addArgs() - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack
-
- addArgs() - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack
-
- addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Dilation2D
-
- addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast
-
- addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.DynamicPartition
-
- addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Fill
-
- addArgs() - Method in class org.nd4j.linalg.api.ops.random.custom.DistributionUniform
-
- addArgsFor(String[], DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Adds incoming args to the graph
- addArgsFor(SDVariable[], DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Adds incoming args to the graph
- addAsPlaceHolder(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Add this vertex id as a place holder
- addAttr(ApiDef.Attr) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- addAttr(int, ApiDef.Attr) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- addAttr(ApiDef.Attr.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- addAttr(int, ApiDef.Attr.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- addAttr(OpDef.AttrDef) - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- addAttr(int, OpDef.AttrDef) - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- addAttr(OpDef.AttrDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- addAttr(int, OpDef.AttrDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- addAttrBuilder() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- addAttrBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- addAttrBuilder() - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- addAttrBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- addAttrDefault(OpGenOverridesOuterClass.OpGenOverride.AttrDefault) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- addAttrDefault(int, OpGenOverridesOuterClass.OpGenOverride.AttrDefault) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- addAttrDefault(OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- addAttrDefault(int, OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- addAttrDefaultBuilder() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- addAttrDefaultBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- addAttribute(OnnxMlProto3.AttributeProto) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- addAttribute(int, OnnxMlProto3.AttributeProto) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- addAttribute(OnnxMlProto3.AttributeProto.Builder) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- addAttribute(int, OnnxMlProto3.AttributeProto.Builder) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- addAttribute(OnnxProto3.AttributeProto) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- addAttribute(int, OnnxProto3.AttributeProto) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- addAttribute(OnnxProto3.AttributeProto.Builder) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- addAttribute(int, OnnxProto3.AttributeProto.Builder) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- addAttributeBuilder() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- addAttributeBuilder(int) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- addAttributeBuilder() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- addAttributeBuilder(int) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- addAttrRename(OpGenOverridesOuterClass.OpGenOverride.Rename) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- addAttrRename(int, OpGenOverridesOuterClass.OpGenOverride.Rename) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- addAttrRename(OpGenOverridesOuterClass.OpGenOverride.Rename.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- addAttrRename(int, OpGenOverridesOuterClass.OpGenOverride.Rename.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- addAttrRenameBuilder() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- addAttrRenameBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- addB(boolean) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(bool)"
- addBadConsumers(int) - Method in class org.tensorflow.framework.VersionDef.Builder
-
Specific consumer versions which are disallowed (e.g.
- addBoolVal(boolean) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_BOOL
- addBp(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- AddBpOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp
-
Addition backprop operation.
- AddBpOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp.AddBpOp
-
- AddBpOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp.AddBpOp
-
- addBucket(double) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
repeated double bucket = 7 [packed = true];
- addBucketLimit(double) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- addBuffer(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArray
-
- addByteOrder(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatArray
-
- addColumnVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- addColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- addColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- addColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- addColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Addition of a column vector (copy)
- addConfiguration(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
-
- addConstNodeInfo(GraphTransferInfo.ConstNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- addConstNodeInfo(int, GraphTransferInfo.ConstNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- addConstNodeInfo(GraphTransferInfo.ConstNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- addConstNodeInfo(int, GraphTransferInfo.ConstNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- addConstNodeInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- addConstNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- addConstraint(KernelDef.AttrConstraint) - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- addConstraint(int, KernelDef.AttrConstraint) - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- addConstraint(KernelDef.AttrConstraint.Builder) - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- addConstraint(int, KernelDef.AttrConstraint.Builder) - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- addConstraintBuilder() - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- addConstraintBuilder(int) - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- addControlInput(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Ids of the control inputs for this node.
- addD(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
-
- addDataType(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatNode
-
- addDcomplexVal(double) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX128.
- addDefaultGraphInputTensorShape(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- addDefaultGraphInputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- addDefaultGraphInputTensorShape(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- addDefaultGraphInputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- addDefaultGraphInputTensorShapeBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- addDefaultGraphInputTensorShapeBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- addDefaultGraphOutputTensorShape(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- addDefaultGraphOutputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- addDefaultGraphOutputTensorShape(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- addDefaultGraphOutputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- addDefaultGraphOutputTensorShapeBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- addDefaultGraphOutputTensorShapeBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- addDevice(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- addDevice(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
-
- addDevicePersistentTensorAllocIds(long) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 device_persistent_tensor_alloc_ids = 6;
- addDevStats(DeviceStepStats) - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- addDevStats(int, DeviceStepStats) - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- addDevStats(DeviceStepStats.Builder) - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- addDevStats(int, DeviceStepStats.Builder) - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- addDevStatsBuilder() - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- addDevStatsBuilder(int) - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- addDim(OnnxMlProto3.TensorShapeProto.Dimension) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- addDim(int, OnnxMlProto3.TensorShapeProto.Dimension) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- addDim(OnnxMlProto3.TensorShapeProto.Dimension.Builder) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- addDim(int, OnnxMlProto3.TensorShapeProto.Dimension.Builder) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- addDim(OnnxProto3.TensorShapeProto.Dimension) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- addDim(int, OnnxProto3.TensorShapeProto.Dimension) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- addDim(OnnxProto3.TensorShapeProto.Dimension.Builder) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- addDim(int, OnnxProto3.TensorShapeProto.Dimension.Builder) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- addDim(TensorShapeProto.Dim) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- addDim(int, TensorShapeProto.Dim) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- addDim(TensorShapeProto.Dim.Builder) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- addDim(int, TensorShapeProto.Dim.Builder) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- addDimBuilder() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- addDimBuilder(int) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- addDimBuilder() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- addDimBuilder(int) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- addDimBuilder() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- addDimBuilder(int) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- addDimensions(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- addDims(long) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The shape of the tensor.
- addDims(long) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The shape of the tensor.
- addDirection(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatConfiguration
-
- addDoubleData(double) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- addDoubleData(double) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- addDoubleVal(double) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_DOUBLE.
- addDtype(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatArray
-
- addDummyTensor(String, Map<String, OnnxProto3.TypeProto.Tensor>) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- addedEdges - Variable in class org.nd4j.linalg.api.ops.impl.accum.TensorMmul
-
- addEndpoint(ApiDef.Endpoint) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- addEndpoint(int, ApiDef.Endpoint) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- addEndpoint(ApiDef.Endpoint.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- addEndpoint(int, ApiDef.Endpoint.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- addEndpointBuilder() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- addEndpointBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- addExecutionMode(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatConfiguration
-
- addExtent(TensorSliceProto.Extent) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- addExtent(int, TensorSliceProto.Extent) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- addExtent(TensorSliceProto.Extent.Builder) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- addExtent(int, TensorSliceProto.Extent.Builder) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- addExtentBuilder() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- addExtentBuilder(int) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- addExtraInteger(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- addExtraParams(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- addF(float) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(float)"
- addFeatures(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats.Builder
-
Add the features of a DataSet to the statistics
- addFeatures(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats.Builder
-
Add the features of a DataSet to the statistics
- addFeatures(DataSet) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.stats.NormalizerStats.Builder
-
- addFeatureVector(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- addFeatureVector(INDArray, int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- addFeatureVector(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet
-
Adds a feature for each example on to the current feature vector
- addFeatureVector(INDArray, int) - Method in class org.nd4j.linalg.dataset.DataSet
-
The feature to add, and the example/row number
- addFirst(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.IntPair
-
- addFirst(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.IntTriple
-
- addFirst(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.LongPair
-
- addFloatData(float) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- addFloatData(float) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- addFloatingPointArguments(Double...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
-
This method takes arbitrary number of Double arguments for op,
Note that this ACCUMULATES arguments.
- addFloats(float) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of floats
- addFloats(float) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of floats
- addFloatVal(float) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_FLOAT.
- addFootprintBackward(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatConfiguration
-
- addFootprintBackward(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatResult
-
- addFootprintForward(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatConfiguration
-
- addFootprintForward(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatResult
-
- addFullShape(long) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of the full variable.
- addFunc(NameAttrList) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- addFunc(int, NameAttrList) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- addFunc(NameAttrList.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- addFunc(int, NameAttrList.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- addFuncBuilder() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- addFuncBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- addFunction(FunctionDef) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- addFunction(int, FunctionDef) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- addFunction(FunctionDef.Builder) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- addFunction(int, FunctionDef.Builder) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- addFunctionBuilder() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- addFunctionBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- addGradient(GradientDef) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- addGradient(int, GradientDef) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- addGradient(GradientDef.Builder) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- addGradient(int, GradientDef.Builder) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- addGradientBuilder() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- addGradientBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- addGraphInputNodeInfo(GraphTransferInfo.GraphInputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- addGraphInputNodeInfo(int, GraphTransferInfo.GraphInputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- addGraphInputNodeInfo(GraphTransferInfo.GraphInputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- addGraphInputNodeInfo(int, GraphTransferInfo.GraphInputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- addGraphInputNodeInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- addGraphInputNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- addGraphInputNodeName(String) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph input node name
- addGraphInputNodeNameBytes(ByteString) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph input node name
- addGraphOutputNodeInfo(GraphTransferInfo.GraphOutputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- addGraphOutputNodeInfo(int, GraphTransferInfo.GraphOutputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- addGraphOutputNodeInfo(GraphTransferInfo.GraphOutputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- addGraphOutputNodeInfo(int, GraphTransferInfo.GraphOutputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- addGraphOutputNodeInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- addGraphOutputNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- addGraphOutputNodeName(String) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph output node name
- addGraphOutputNodeNameBytes(ByteString) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph output node name
- addGraphs(OnnxMlProto3.GraphProto) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- addGraphs(int, OnnxMlProto3.GraphProto) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- addGraphs(OnnxMlProto3.GraphProto.Builder) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- addGraphs(int, OnnxMlProto3.GraphProto.Builder) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- addGraphs(OnnxProto3.GraphProto) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- addGraphs(int, OnnxProto3.GraphProto) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- addGraphs(OnnxProto3.GraphProto.Builder) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- addGraphs(int, OnnxProto3.GraphProto.Builder) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- addGraphsBuilder() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- addGraphsBuilder(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- addGraphsBuilder() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- addGraphsBuilder(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- addHalfVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_HALF.
- addHostMemoryArg(String) - Method in class org.tensorflow.framework.KernelDef.Builder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- addHostMemoryArgBytes(ByteString) - Method in class org.tensorflow.framework.KernelDef.Builder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- addHostPersistentTensorAllocIds(long) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 host_persistent_tensor_alloc_ids = 5;
- addi(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- addi(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- addi(double) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- addi(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- addi(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- addi(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- addI(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
-
- addi(Number, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- addi(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- addi(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
in place addition of two matrices
- addi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
in place addition of two matrices
- addi(IComplexNumber, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- addi(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- addi(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- addi(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- addi(IComplexNumber, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- addi(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- addi(Number, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- addi(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- addi(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
in place addition of two matrices
- addi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
in place addition of two matrices
- addi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- addi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
in place addition of two matrices
- addi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
in place addition of two matrices
- addi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- addi(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- addi(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- addi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- addi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- addi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- addi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- addi(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- addi(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- addi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place scalar addition
- addi(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place addition
- addi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
in place (element wise) addition of two NDArrays
- addi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
in place (element wise) addition of two NDArrays
- addi(IComplexNumber) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- addi(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- addI(long) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(int)"
- addIArgument(int...) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- addIArgument(int...) - Method in interface org.nd4j.linalg.api.ops.CustomOp
-
- addIArgument(int...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- addIArgument(int...) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
-
- addIArgument(int...) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
-
- addIArgument(int...) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Assign
-
- addiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- addiColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- addiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- addiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- addiColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place addition of a column vector
- addId(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatConfiguration
-
- addId(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatGraph
-
- addId(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- addId(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatResult
-
- addId(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatTiming
-
- addId(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
-
- addInArg(ApiDef.Arg) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- addInArg(int, ApiDef.Arg) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- addInArg(ApiDef.Arg.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- addInArg(int, ApiDef.Arg.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- addInArgBuilder() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- addInArgBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- addInitializer(OnnxMlProto3.TensorProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- addInitializer(int, OnnxMlProto3.TensorProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- addInitializer(OnnxMlProto3.TensorProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- addInitializer(int, OnnxMlProto3.TensorProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- addInitializer(OnnxProto3.TensorProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- addInitializer(int, OnnxProto3.TensorProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- addInitializer(OnnxProto3.TensorProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- addInitializer(int, OnnxProto3.TensorProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- addInitializerBuilder() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- addInitializerBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- addInitializerBuilder() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- addInitializerBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- addInput(OnnxMlProto3.ValueInfoProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- addInput(int, OnnxMlProto3.ValueInfoProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- addInput(OnnxMlProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- addInput(int, OnnxMlProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- addInput(String) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- addInput(OnnxProto3.ValueInfoProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- addInput(int, OnnxProto3.ValueInfoProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- addInput(OnnxProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- addInput(int, OnnxProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- addInput(String) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- addInput(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- addInput(String) - Method in class org.tensorflow.framework.NodeDef.Builder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- addInputArg(OpDef.ArgDef) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- addInputArg(int, OpDef.ArgDef) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- addInputArg(OpDef.ArgDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- addInputArg(int, OpDef.ArgDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- addInputArgBuilder() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- addInputArgBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- addInputArgument(INDArray...) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- addInputArgument(INDArray...) - Method in interface org.nd4j.linalg.api.ops.CustomOp
-
- addInputArgument(INDArray...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- addInputArgument(INDArray...) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
-
- addInputArgument(INDArray...) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
-
- addInputBuilder() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- addInputBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- addInputBuilder() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- addInputBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- addInputBytes(ByteString) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- addInputBytes(ByteString) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- addInputBytes(ByteString) - Method in class org.tensorflow.framework.NodeDef.Builder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- addInputInfo(CostGraphDef.Node.InputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- addInputInfo(int, CostGraphDef.Node.InputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- addInputInfo(CostGraphDef.Node.InputInfo.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- addInputInfo(int, CostGraphDef.Node.InputInfo.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- addInputInfoBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- addInputInfoBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- addInputPaired(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- addInputRename(OpGenOverridesOuterClass.OpGenOverride.Rename) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- addInputRename(int, OpGenOverridesOuterClass.OpGenOverride.Rename) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- addInputRename(OpGenOverridesOuterClass.OpGenOverride.Rename.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- addInputRename(int, OpGenOverridesOuterClass.OpGenOverride.Rename.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- addInputRenameBuilder() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- addInputRenameBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- addInputs(INDArray...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
-
This method
takes arbitrary number of input INDArrays in, as Op input
Note that this ACCUMULATES arguments.
- addInputs(INDArray...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.SameDiffBuilder
-
- addInputs(DifferentialFunction...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.SameDiffBuilder
-
- addInt32Data(int) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- addInt32Data(int) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- addInt64Data(long) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int64.
- addInt64Data(long) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int64.
- addInt64Val(long) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT64
- addIntegerArguments(List<Integer>) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
-
This method takes arbitrary number of Integer arguments for op,
Note that this ACCUMULATES arguments.
- addIntegerArguments(int) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
-
This method takes arbitrary number of Integer arguments for op,
Note that this ACCUMULATES arguments.
- addIntegerArguments(int...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
-
This method takes arbitrary number of Integer arguments for op,
Note that this ACCUMULATES arguments.
- addInts(long) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of ints
- addInts(long) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of ints
- addIntVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- addiRowVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- addiRowVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- addiRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- addiRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- addiRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place addition of a row vector
- addKeys(String) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
Keys for tensors in the VariantTensorDataProto.
- addKeysBytes(ByteString) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
Keys for tensors in the VariantTensorDataProto.
- addL(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
-
- addLabels(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats.Builder
-
Add the labels of a DataSet to the statistics
- addLabels(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats.Builder
-
Add the labels of a DataSet to the statistics
- addLabels(DataSet) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.stats.NormalizerStats.Builder
-
Add the labels of a DataSet to the statistics
- addListener(OpProfiler.OpProfilerListener) - Method in class org.nd4j.linalg.profiler.OpProfiler
-
dd the listener to the profiler
- addMaxByteSize(int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
-
repeated int32 max_byte_size = 2;
- addMemory(AllocatorMemoryUsed) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- addMemory(int, AllocatorMemoryUsed) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- addMemory(AllocatorMemoryUsed.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- addMemory(int, AllocatorMemoryUsed.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- addMemoryBuilder() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- addMemoryBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- addMetadataProps(OnnxMlProto3.StringStringEntryProto) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- addMetadataProps(int, OnnxMlProto3.StringStringEntryProto) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- addMetadataProps(OnnxMlProto3.StringStringEntryProto.Builder) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- addMetadataProps(int, OnnxMlProto3.StringStringEntryProto.Builder) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- addMetadataProps(OnnxProto3.StringStringEntryProto) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- addMetadataProps(int, OnnxProto3.StringStringEntryProto) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- addMetadataProps(OnnxProto3.StringStringEntryProto.Builder) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- addMetadataProps(int, OnnxProto3.StringStringEntryProto.Builder) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- addMetadataPropsBuilder() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- addMetadataPropsBuilder(int) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- addMetadataPropsBuilder() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- addMetadataPropsBuilder(int) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- addModule(Module) - Method in class org.nd4j.linalg.api.ops.BaseModule
-
- addModule(Module) - Method in interface org.nd4j.linalg.api.ops.Module
-
- addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
-
- addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatTiming
-
- addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
-
- addNdarray(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
-
- addNode(OnnxMlProto3.NodeProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- addNode(int, OnnxMlProto3.NodeProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- addNode(OnnxMlProto3.NodeProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- addNode(int, OnnxMlProto3.NodeProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- addNode(OnnxProto3.NodeProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- addNode(int, OnnxProto3.NodeProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- addNode(OnnxProto3.NodeProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- addNode(int, OnnxProto3.NodeProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- addNode(CostGraphDef.Node) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- addNode(int, CostGraphDef.Node) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- addNode(CostGraphDef.Node.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- addNode(int, CostGraphDef.Node.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- addNode(NodeDef) - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- addNode(int, NodeDef) - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- addNode(NodeDef.Builder) - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- addNode(int, NodeDef.Builder) - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- addNodeBuilder() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- addNodeBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- addNodeBuilder() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- addNodeBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- addNodeBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- addNodeBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- addNodeBuilder() - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- addNodeBuilder(int) - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- addNodeDef(NodeDef) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- addNodeDef(int, NodeDef) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- addNodeDef(NodeDef.Builder) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- addNodeDef(int, NodeDef.Builder) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- addNodeDefBuilder() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- addNodeDefBuilder(int) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- addNodeInfo(GraphTransferInfo.NodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- addNodeInfo(int, GraphTransferInfo.NodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- addNodeInfo(GraphTransferInfo.NodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- addNodeInfo(int, GraphTransferInfo.NodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- addNodeInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- addNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- addNodeInput(GraphTransferInfo.NodeInput) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- addNodeInput(int, GraphTransferInfo.NodeInput) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- addNodeInput(GraphTransferInfo.NodeInput.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- addNodeInput(int, GraphTransferInfo.NodeInput.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- addNodeInputBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- addNodeInputBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- addNodeInputInfo(GraphTransferInfo.NodeInputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- addNodeInputInfo(int, GraphTransferInfo.NodeInputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- addNodeInputInfo(GraphTransferInfo.NodeInputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- addNodeInputInfo(int, GraphTransferInfo.NodeInputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- addNodeInputInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- addNodeInputInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- addNodeOutputInfo(GraphTransferInfo.NodeOutputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- addNodeOutputInfo(int, GraphTransferInfo.NodeOutputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- addNodeOutputInfo(GraphTransferInfo.NodeOutputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- addNodeOutputInfo(int, GraphTransferInfo.NodeOutputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- addNodeOutputInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- addNodeOutputInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- addNodes(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
-
- addNodeStats(NodeExecStats) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- addNodeStats(int, NodeExecStats) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- addNodeStats(NodeExecStats.Builder) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- addNodeStats(int, NodeExecStats.Builder) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- addNodeStatsBuilder() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- addNodeStatsBuilder(int) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- AddOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic
-
Addition operation
- AddOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.AddOp
-
- AddOp(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.AddOp
-
- AddOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.AddOp
-
- addOp(ApiDef) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- addOp(int, ApiDef) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- addOp(ApiDef.Builder) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- addOp(int, ApiDef.Builder) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- addOp(OpDef) - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- addOp(int, OpDef) - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- addOp(OpDef.Builder) - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- addOp(int, OpDef.Builder) - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- addOp(OpGenOverridesOuterClass.OpGenOverride) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
repeated .tensorflow.OpGenOverride op = 1;
- addOp(int, OpGenOverridesOuterClass.OpGenOverride) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
repeated .tensorflow.OpGenOverride op = 1;
- addOp(OpGenOverridesOuterClass.OpGenOverride.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
repeated .tensorflow.OpGenOverride op = 1;
- addOp(int, OpGenOverridesOuterClass.OpGenOverride.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
repeated .tensorflow.OpGenOverride op = 1;
- addOpBuilder() - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- addOpBuilder(int) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- addOpBuilder() - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- addOpBuilder(int) - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- addOpBuilder() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
repeated .tensorflow.OpGenOverride op = 1;
- addOpBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
repeated .tensorflow.OpGenOverride op = 1;
- addOperator(OnnxOperatorsProto3.OperatorProto) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- addOperator(int, OnnxOperatorsProto3.OperatorProto) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- addOperator(OnnxOperatorsProto3.OperatorProto.Builder) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- addOperator(int, OnnxOperatorsProto3.OperatorProto.Builder) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- addOperatorBuilder() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- addOperatorBuilder(int) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- addOpNum(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatNode
-
- addOpsetImport(OnnxMlProto3.OperatorSetIdProto) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- addOpsetImport(int, OnnxMlProto3.OperatorSetIdProto) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- addOpsetImport(OnnxMlProto3.OperatorSetIdProto.Builder) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- addOpsetImport(int, OnnxMlProto3.OperatorSetIdProto.Builder) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- addOpsetImport(OnnxProto3.OperatorSetIdProto) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- addOpsetImport(int, OnnxProto3.OperatorSetIdProto) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- addOpsetImport(OnnxProto3.OperatorSetIdProto.Builder) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- addOpsetImport(int, OnnxProto3.OperatorSetIdProto.Builder) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- addOpsetImportBuilder() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- addOpsetImportBuilder(int) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- addOpsetImportBuilder() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- addOpsetImportBuilder(int) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- addOpType(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatNode
-
- addOrUpdate(int[], double) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Add a new element in the ndarray or update the value if there is already a non-null element at this position
- addOutArg(ApiDef.Arg) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- addOutArg(int, ApiDef.Arg) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- addOutArg(ApiDef.Arg.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- addOutArg(int, ApiDef.Arg.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- addOutArgBuilder() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- addOutArgBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- addOutgoingFor(SDVariable[], DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Adds outgoing args to the graph
- addOutgoingFor(String[], DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Adds outgoing arguments to the graph.
- addOutput(OnnxMlProto3.ValueInfoProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- addOutput(int, OnnxMlProto3.ValueInfoProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- addOutput(OnnxMlProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- addOutput(int, OnnxMlProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- addOutput(String) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- addOutput(OnnxProto3.ValueInfoProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- addOutput(int, OnnxProto3.ValueInfoProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- addOutput(OnnxProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- addOutput(int, OnnxProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- addOutput(String) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- addOutput(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- addOutput(NodeOutput) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- addOutput(int, NodeOutput) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- addOutput(NodeOutput.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- addOutput(int, NodeOutput.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- addOutputArg(OpDef.ArgDef) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- addOutputArg(int, OpDef.ArgDef) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- addOutputArg(OpDef.ArgDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- addOutputArg(int, OpDef.ArgDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- addOutputArgBuilder() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- addOutputArgBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- addOutputArgument(INDArray...) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- addOutputArgument(INDArray...) - Method in interface org.nd4j.linalg.api.ops.CustomOp
-
- addOutputArgument(INDArray...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- addOutputArgument(INDArray...) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
-
- addOutputArgument(INDArray...) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
-
- addOutputBuilder() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- addOutputBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- addOutputBuilder() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- addOutputBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- addOutputBuilder() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- addOutputBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- addOutputBytes(ByteString) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- addOutputBytes(ByteString) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- addOutputInfo(CostGraphDef.Node.OutputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- addOutputInfo(int, CostGraphDef.Node.OutputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- addOutputInfo(CostGraphDef.Node.OutputInfo.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- addOutputInfo(int, CostGraphDef.Node.OutputInfo.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- addOutputInfoBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- addOutputInfoBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- addOutputMode(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatConfiguration
-
- addOutputRename(OpGenOverridesOuterClass.OpGenOverride.Rename) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- addOutputRename(int, OpGenOverridesOuterClass.OpGenOverride.Rename) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- addOutputRename(OpGenOverridesOuterClass.OpGenOverride.Rename.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- addOutputRename(int, OpGenOverridesOuterClass.OpGenOverride.Rename.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- addOutputRenameBuilder() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- addOutputRenameBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- addOutputs(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
-
- addOutputs(INDArray...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
-
This method takes arbitrary number of
output INDArrays in, to store operation result
Note that this ACCUMULATES arguments.
- addOutputs(INDArray...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.SameDiffBuilder
-
- addOutputs(DifferentialFunction...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.SameDiffBuilder
-
- addOutputShape(int[]) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
-
Adds an oup
- addProfilingMode(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatConfiguration
-
- addProperties(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- addPropertyForFunction(DifferentialFunction, String, INDArray) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Add a property for the given function
- addPropertyForFunction(DifferentialFunction, String, long) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Add a property for the given function
- addPropertyToResolve(DifferentialFunction, String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Adds a property that needs to be resolve for later.
- addReferencedTensor(AllocationDescription) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- addReferencedTensor(int, AllocationDescription) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- addReferencedTensor(AllocationDescription.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- addReferencedTensor(int, AllocationDescription.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- addReferencedTensorBuilder() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- addReferencedTensorBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AttrValue.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GradientDef.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphDef.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.KernelDef.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NodeDef.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NodeOutput.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDef.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpList.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.StepStats.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Image.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.VariableDef.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.VersionDef.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
- addResourceHandleVal(ResourceHandleProto) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- addResourceHandleVal(int, ResourceHandleProto) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- addResourceHandleVal(ResourceHandleProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- addResourceHandleVal(int, ResourceHandleProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- addResourceHandleValBuilder() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- addResourceHandleValBuilder(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- addRow(DataSet, int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- addRow(DataSet, int) - Method in class org.nd4j.linalg.dataset.DataSet
-
- addRowVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- addRowVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- addRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- addRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- addRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Addition of a row vector (copy)
- addS(ByteString) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(string)"
- addScalar(FlatBufferBuilder, float) - Static method in class org.nd4j.graph.FlatNode
-
- addScomplexVal(float) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX64.
- addScopeId(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- addScopeName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- addSecond(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.IntPair
-
- addSecond(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.IntTriple
-
- addSecond(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.LongPair
-
- addShape(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArray
-
- addShape(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
-
- addShape(TensorShapeProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- addShape(int, TensorShapeProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- addShape(TensorShapeProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- addShape(int, TensorShapeProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- addShape(long) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
repeated int64 shape = 3;
- addShape(long) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
repeated int64 shape = 2;
- addShape(long) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
repeated int64 shape = 2;
- addShapeBuilder() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- addShapeBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- addStrategy(NormalizerSerializerStrategy) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer
-
Add a normalizer serializer strategy
- addStringData(ByteString) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For strings.
- addStringData(ByteString) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For strings.
- addStrings(ByteString) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of UTF-8 strings
- addStrings(ByteString) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of UTF-8 strings
- addStringVal(ByteString) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_STRING
- addTArgument(double...) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- addTArgument(double...) - Method in interface org.nd4j.linalg.api.ops.CustomOp
-
- addTArgument(double...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- addTArgument(double...) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
-
- addTArgument(double...) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
-
- addTensor(TensorProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- addTensor(int, TensorProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- addTensor(TensorProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- addTensor(int, TensorProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- addTensorBuilder() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- addTensorBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- addTensors(OnnxMlProto3.TensorProto) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- addTensors(int, OnnxMlProto3.TensorProto) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- addTensors(OnnxMlProto3.TensorProto.Builder) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- addTensors(int, OnnxMlProto3.TensorProto.Builder) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- addTensors(OnnxProto3.TensorProto) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- addTensors(int, OnnxProto3.TensorProto) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- addTensors(OnnxProto3.TensorProto.Builder) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- addTensors(int, OnnxProto3.TensorProto.Builder) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- addTensors(TensorProto) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- addTensors(int, TensorProto) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- addTensors(TensorProto.Builder) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- addTensors(int, TensorProto.Builder) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- addTensorsBuilder() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- addTensorsBuilder(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- addTensorsBuilder() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- addTensorsBuilder(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- addTensorsBuilder() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- addTensorsBuilder(int) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- addThird(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.IntTriple
-
- addTime(long) - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- addTimestats(FlatBufferBuilder, boolean) - Static method in class org.nd4j.graph.FlatConfiguration
-
- addTiming(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatResult
-
- addTiming(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatTiming
-
- addType(DataType) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
- addTypeValue(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
- addUint32Val(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT32
- addUint64Data(long) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- addUint64Data(long) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- addUint64Val(long) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT64
- addValue(Summary.Value) - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- addValue(int, Summary.Value) - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- addValue(Summary.Value.Builder) - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- addValue(int, Summary.Value.Builder) - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- addValueBuilder() - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- addValueBuilder(int) - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- addValueInfo(OnnxMlProto3.ValueInfoProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- addValueInfo(int, OnnxMlProto3.ValueInfoProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- addValueInfo(OnnxMlProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- addValueInfo(int, OnnxMlProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- addValueInfo(OnnxProto3.ValueInfoProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- addValueInfo(int, OnnxProto3.ValueInfoProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- addValueInfo(OnnxProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- addValueInfo(int, OnnxProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- addValueInfoBuilder() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- addValueInfoBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- addValueInfoBuilder() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- addValueInfoBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- addVariable(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- addVariableMappingForField(DifferentialFunction, String, String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Adds a field name -> variable name
mapping for a given function.
- addVariables(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
-
- addVariables(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatResult
-
- addVariantVal(VariantTensorDataProto) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- addVariantVal(int, VariantTensorDataProto) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- addVariantVal(VariantTensorDataProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- addVariantVal(int, VariantTensorDataProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- addVariantValBuilder() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- addVariantValBuilder(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- addVarNameForImport(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Marks a variable name as imported.
- addVarOffset(long) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Offset of this variable into the full variable.
- addVarShape(long) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of this variable.
- adjustIndices(int[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices
-
Prunes indices of greater length than the shape
and fills in missing indices if there are any
- adjustMasks(INDArray, INDArray, int, double) - Method in class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.BaseUnderSamplingPreProcessor
-
- adjustSchemeToBounds(INDArray, INDArray, int, INDArray, INDArray) - Static method in class org.nd4j.finitedifferences.TwoPointApproximation
-
Adjust final scheme to presence of bounds
Returns (in this order):
adjusted hypothesis, whether to use onesided as an int mask array
- AFFINITY_MANAGER - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- AffinityManager - Interface in org.nd4j.linalg.api.concurrency
-
- affinityManager - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- AffinityManager.Location - Enum in org.nd4j.linalg.api.concurrency
-
- affinityManagerClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- Aggregate - Interface in org.nd4j.linalg.api.ops.aggregates
-
Aggregates are ops that work with custom operands,
that are not limited to traditional X, Y and Z constraints.
- aggregate(Aggregate) - Method in interface org.nd4j.linalg.api.ops.executioner.GridExecutioner
-
This method enqueues aggregate op for future invocation
- aggregate(Aggregate, long) - Method in interface org.nd4j.linalg.api.ops.executioner.GridExecutioner
-
This method enqueues aggregate op for future invocation.
- AggregateAxpy - Class in org.nd4j.linalg.api.ops.aggregates.impl
-
This op describes Axpy call
that'll happen soon(TM) in batch mode
- AggregateAxpy(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
-
- AggregateCBOW - Class in org.nd4j.linalg.api.ops.aggregates.impl
-
- AggregateCBOW(INDArray, INDArray, INDArray, INDArray, INDArray, int, int[], int[], int[], int, int, int, double, long, int, int, boolean, INDArray) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
-
Optional constructor for ParagraphVectors PV-DM implementation
- AggregateCBOW(INDArray, INDArray, INDArray, INDArray, INDArray, int, int[], int[], int[], int, int, int, double, long, int) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
-
Default constructor for CBOW implementation wrapper
- AggregateDot - Class in org.nd4j.linalg.api.ops.aggregates.impl
-
This op describes Dot call that'll happen soon(TM) in batch mode
- AggregateDot(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
-
- AggregateGEMM - Class in org.nd4j.linalg.api.ops.aggregates.impl
-
PLEASE NOTE: This op is available for CPU only, and should NOT be ever called manually, unless you know why you're using it
- AggregateGEMM() - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
-
- AggregateGEMM(int, int, int, int, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
-
- AggregateSkipGram - Class in org.nd4j.linalg.api.ops.aggregates.impl
-
This aggregate encapsulates AggregateSkipGram training round for a given word and context
- AggregateSkipGram(INDArray, INDArray, INDArray, INDArray, INDArray, int, int[], int[], int, int, int, double, long, int, INDArray) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
-
- AggregateSkipGram(INDArray, INDArray, INDArray, INDArray, INDArray, int, int[], int[], int, int, int, double, long, int) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
-
- AggregateSkipGram(int, int, int[], int[], int, double, int) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
-
This is special signature suitable for use with VoidParameterServer, never ever use it outside of spark-nlp
- AGGREGATION - Static variable in class org.nd4j.graph.OpType
-
- aLength() - Method in class org.nd4j.graph.FlatProperties
-
- ALIAS_FIELD_NUMBER - Static variable in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
- ALIAS_INPUT_PORT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- All - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Boolean AND pairwise transform
- All(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.All
-
- All(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.All
-
- All(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.All
-
- All() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.All
-
- All(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.All
-
- All(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.All
-
- All(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.All
-
- All(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.All
-
- All(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.All
-
- All(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.All
-
- All(INDArray, INDArray, INDArray, Number, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.All
-
- all() - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Represents collecting all elements
- ALL_END_REL_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats
-
- ALL_START_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats
-
- allCosineDistances(INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- allCosineSimilarities(INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- allEuclideanDistances(INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- allFalse() - Static method in class org.nd4j.linalg.api.blas.params.MMulTranspose
-
Returns the default transpose
where all are false
- allFor(INDArray) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Generate an all index
equal to the rank of the given array
- allManhattanDistances(INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- alloc - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- alloc(long, DataBuffer.Type, boolean) - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method does allocation from a given Workspace
- alloc(long, MemoryKind, DataBuffer.Type, boolean) - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method does allocation from a given Workspace
- alloc(long, DataBuffer.Type, boolean) - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- alloc(long, MemoryKind, DataBuffer.Type, boolean) - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- ALLOC_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocationRecord
-
- ALLOC_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocationRecord
-
- allocate(long, MemoryKind, boolean) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
This method returns
PLEASE NOTE: Cache options
depend on specific implementations
- allocate(long, MemoryKind, boolean) - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method returns pointer to allocated memory
PLEASE NOTE: Cache options depend on specific implementations
- ALLOCATED_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocationDescription
-
- allocateWithSize(int) - Method in class org.nd4j.list.BaseNDArrayList
-
Allocates the container and this list with
the given size
- ALLOCATION_DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorDescription
-
- ALLOCATION_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocationDescription
-
- ALLOCATION_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawAllocation
-
- ALLOCATION_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawDeallocation
-
- ALLOCATION_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogTensorDeallocation
-
- ALLOCATION_RECORDS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocatorMemoryUsed
-
- AllocationDescription - Class in org.tensorflow.framework
-
Protobuf type tensorflow.AllocationDescription
- AllocationDescription.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.AllocationDescription
- AllocationDescriptionOrBuilder - Interface in org.tensorflow.framework
-
- AllocationDescriptionProtos - Class in org.tensorflow.framework
-
- AllocationRecord - Class in org.tensorflow.framework
-
An allocation/de-allocation operation performed by the allocator.
- AllocationRecord.Builder - Class in org.tensorflow.framework
-
An allocation/de-allocation operation performed by the allocator.
- AllocationRecordOrBuilder - Interface in org.tensorflow.framework
-
- ALLOCATOR_BYTES_IN_USE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocatorMemoryUsed
-
- ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocationDescription
-
- ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocatorMemoryUsed
-
- ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawAllocation
-
- ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawDeallocation
-
- ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogTensorDeallocation
-
- AllocatorMemoryUsed - Class in org.tensorflow.framework
-
Protobuf type tensorflow.AllocatorMemoryUsed
- AllocatorMemoryUsed.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.AllocatorMemoryUsed
- AllocatorMemoryUsedOrBuilder - Interface in org.tensorflow.framework
-
- allowCrossDeviceAccess(boolean) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method allows to block cross-device access.
- allowCrossDeviceAccess(boolean) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- ALLOWED_VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.KernelDef.AttrConstraint
-
- ALLOWED_VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.AttrDef
-
- ALLOWS_UNINITIALIZED_INPUT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef
-
- allowsSpecifyOrdering() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Backend specific:
Returns whether specifying the order
for the blas impl is allowed (cblas)
- allPlaceHolderVariablesResolved() - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Returns true if all place holder variables
are resolved.
- AlphaDropOut - Class in org.nd4j.linalg.api.ops.random.impl
-
AlphaDropOut implementation as Op
- AlphaDropOut() - Constructor for class org.nd4j.linalg.api.ops.random.impl.AlphaDropOut
-
- AlphaDropOut(INDArray, double, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.AlphaDropOut
-
- AlphaDropOut(INDArray, INDArray, double, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.AlphaDropOut
-
- AlphaDropOut(INDArray, INDArray, double, double, double, double, long) - Constructor for class org.nd4j.linalg.api.ops.random.impl.AlphaDropOut
-
- alreadySeen(NODE_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
- alreadySeen(OnnxProto3.NodeProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- alreadySeen(NodeDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- amax(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- amax(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- amax(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the absolute overall max of this ndarray along given dimensions
- AMax - Class in org.nd4j.linalg.api.ops.impl.accum
-
Calculate the absolute max over a vector
- AMax(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMax
-
- AMax(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMax
-
- AMax() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMax
-
- AMax(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMax
-
- AMax(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMax
-
- AMax(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMax
-
- amax(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
-
Broadcast absolute max op.
- amaxNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- amaxNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- amaxNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns maximum (absolute) value in this INDArray
- amean(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- amean(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- amean(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the absolute overall mean of this ndarray
- AMean - Class in org.nd4j.linalg.api.ops.impl.accum
-
Calculate the absolute mean of the given vector
- AMean(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
-
- AMean(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
-
- AMean() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
-
- AMean(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
-
- AMean(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
-
- AMean(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
-
- AMean(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
-
- AMean(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
-
- ameanNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- ameanNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- ameanNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the absolute overall mean of this ndarray
- amin(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- amin(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- amin(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns minimum (absolute) value in this INDArray, along the specified dimensions
- AMin - Class in org.nd4j.linalg.api.ops.impl.accum
-
Calculate the absolute minimum over a vector
- AMin(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMin
-
- AMin(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMin
-
- AMin() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMin
-
- AMin(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMin
-
- AMin(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMin
-
- AMin(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMin
-
- AMin(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMin
-
- amin(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
-
Broadcast absolute min op.
- aminNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- aminNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- aminNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns absolute min value in this INDArray
- and(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- and(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- and(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- And - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Boolean AND pairwise transform
- And(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- And(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- And(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- And(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- And(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- And(SameDiff, SDVariable, int[], boolean, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- And(SameDiff, SDVariable, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- And() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- And(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- And(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- And(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- And(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- And(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- And(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- And(INDArray, INDArray, INDArray, Number, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- and(IComplexNDArray, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
And
- and(INDArray, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
And over the whole ndarray given some condition
- and(INDArray, Condition, int...) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
And over the whole ndarray given some condition, with respect to dimensions
- And - Class in org.nd4j.linalg.indexing.conditions
-
Created by agibsonccc on 10/9/14.
- And(Condition...) - Constructor for class org.nd4j.linalg.indexing.conditions.And
-
- and(Condition...) - Method in class org.nd4j.linalg.indexing.conditions.ConditionBuilder
-
- and(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- ANY_PANIC - Static variable in class org.nd4j.graph.ProfilingMode
-
- ApiDef - Class in org.tensorflow.framework
-
Used to specify and override the default API & behavior in the
generated code for client languages, from what you would get from
the OpDef alone.
- ApiDef.Arg - Class in org.tensorflow.framework
-
Protobuf type tensorflow.ApiDef.Arg
- ApiDef.Arg.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.ApiDef.Arg
- ApiDef.ArgOrBuilder - Interface in org.tensorflow.framework
-
- ApiDef.Attr - Class in org.tensorflow.framework
-
Description of the graph-construction-time configuration of this
Op.
- ApiDef.Attr.Builder - Class in org.tensorflow.framework
-
Description of the graph-construction-time configuration of this
Op.
- ApiDef.AttrOrBuilder - Interface in org.tensorflow.framework
-
- ApiDef.Builder - Class in org.tensorflow.framework
-
Used to specify and override the default API & behavior in the
generated code for client languages, from what you would get from
the OpDef alone.
- ApiDef.Endpoint - Class in org.tensorflow.framework
-
If you specify any endpoint, this will replace all of the
inherited endpoints.
- ApiDef.Endpoint.Builder - Class in org.tensorflow.framework
-
If you specify any endpoint, this will replace all of the
inherited endpoints.
- ApiDef.EndpointOrBuilder - Interface in org.tensorflow.framework
-
- ApiDef.Visibility - Enum in org.tensorflow.framework
-
Protobuf enum tensorflow.ApiDef.Visibility
- ApiDefOrBuilder - Interface in org.tensorflow.framework
-
- ApiDefProtos - Class in org.tensorflow.framework
-
- ApiDefs - Class in org.tensorflow.framework
-
Protobuf type tensorflow.ApiDefs
- ApiDefs.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.ApiDefs
- ApiDefsOrBuilder - Interface in org.tensorflow.framework
-
- append(T) - Method in class org.nd4j.linalg.api.ops.aggregates.Batch
-
This method tries to append aggregate to the current batch, if it has free room
- append(INDArray, int, double, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Append the given
array with the specified value size
along a particular axis
- appendBias(INDArray...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Merge the vectors and append a bias.
- appendBias(INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- appendBias(INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- apply(Condition, Function<Number, Number>) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- apply(Condition, Function<Number, Number>) - Method in class org.nd4j.linalg.dataset.DataSet
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterOrEqualsThan
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterOrEqualsThan
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessOrEqualsThan
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessOrEqualsThan
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessThan
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessThan
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.And
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.And
-
- apply(Number) - Method in interface org.nd4j.linalg.indexing.conditions.Condition
-
- apply(IComplexNumber) - Method in interface org.nd4j.linalg.indexing.conditions.Condition
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.ConditionEquals
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.ConditionEquals
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.EpsilonEquals
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.EpsilonEquals
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.EqualsCondition
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.EqualsCondition
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.GreaterThan
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.GreaterThan
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.IsInfinite
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.IsInfinite
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.IsNaN
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.IsNaN
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.LessThan
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.LessThan
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.LessThanOrEqual
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.LessThanOrEqual
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.Not
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.Not
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.NotEqualsCondition
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.NotEqualsCondition
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.Or
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.Or
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.functions.Identity
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.functions.StableNumber
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.functions.Value
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.functions.Zero
-
- ApplyGradientDescent - Class in org.nd4j.linalg.api.ops.impl.shape
-
Reshape function
- ApplyGradientDescent() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ApplyGradientDescent
-
- applyMask(INDArray, INDArray) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
A minor shortcut for applying a bitmask to
a matrix
- applyMask(INDArray, INDArray) - Static method in class org.nd4j.linalg.lossfunctions.LossUtil
-
- applyMaskInPlace(INDArray, INDArray) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
A minor shortcut for applying a bitmask to
a matrix
- applyUpdater(INDArray, int, int) - Method in class org.nd4j.linalg.learning.AdaDeltaUpdater
-
Get the updated gradient for the given gradient
and also update the state of ada delta.
- applyUpdater(INDArray, int, int) - Method in class org.nd4j.linalg.learning.AdaGradUpdater
-
Gets feature specific learning rates
Adagrad keeps a history of gradients being passed in.
- applyUpdater(INDArray, int, int) - Method in class org.nd4j.linalg.learning.AdaMaxUpdater
-
Calculate the update based on the given gradient
- applyUpdater(INDArray, int, int) - Method in class org.nd4j.linalg.learning.AdamUpdater
-
Calculate the update based on the given gradient
- applyUpdater(INDArray, int, int) - Method in interface org.nd4j.linalg.learning.GradientUpdater
-
Modify the gradient to be an update.
- applyUpdater(INDArray, int, int) - Method in class org.nd4j.linalg.learning.NadamUpdater
-
Calculate the update based on the given gradient
- applyUpdater(INDArray, int, int) - Method in class org.nd4j.linalg.learning.NesterovsUpdater
-
Get the nesterov update
- applyUpdater(INDArray, int, int) - Method in class org.nd4j.linalg.learning.NoOpUpdater
-
- applyUpdater(INDArray, int, int) - Method in class org.nd4j.linalg.learning.RmsPropUpdater
-
- applyUpdater(INDArray, int, int) - Method in class org.nd4j.linalg.learning.SgdUpdater
-
- applyWhere(INDArray, Condition, Function<Number, Number>) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
Based on the matching elements
op to based on condition to with function function
- applyWhere(INDArray, Condition, Number) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
This method sets provided number to all elements which match specified condition
- applyWhere(INDArray, Condition, Function<Number, Number>, Function<Number, Number>) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
Based on the matching elements
op to based on condition to with function function
- applyWhere(IComplexNDArray, Condition, Function<IComplexNumber, IComplexNumber>) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
Based on the matching elements
op to based on condition to with function function
- approximateDerivative(Function<INDArray, INDArray>, INDArray, INDArray, INDArray, INDArray) - Static method in class org.nd4j.finitedifferences.TwoPointApproximation
-
- arange(double, double) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Array of evenly spaced values.
- arange(double, double) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Array of evenly spaced values.
- arange(double) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Array of evenly spaced values.
- arange(double, double) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Array of evenly spaced values.
- areShapesBroadcastable(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- arg() - Method in class org.nd4j.autodiff.functions.DifferentialFunction
-
Return the first argument
- arg() - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- ARG_ORDER_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef
-
- argmax(SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- argmax(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- argmax(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- argMax(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
This method returns index of highest value along specified dimension(s)
- argMax(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- argMax(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
This method returns index of highest value along specified dimension(s)
- argMax(INDArray, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- argmin(SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- argmin(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- argmin(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- args() - Method in class org.nd4j.autodiff.functions.DifferentialFunction
-
Return the arguments for a given function
- args() - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- args() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.GRUCellConfiguration
-
- args() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMCellConfiguration
-
- args() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.SRUCellConfiguration
-
- args() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.SRUConfiguration
-
- arguments - Variable in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- array() - Method in class org.nd4j.list.BaseNDArrayList
-
Get a view of the underlying array
relative to the size of the actual array.
- array() - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
-
Get a view of the underlying array
relative to the size of the actual array.
- array() - Method in class org.nd4j.list.NDArrayList
-
Get a view of the underlying array
relative to the size of the actual array.
- arrayAlreadyExistsForVarName(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Returns true if the given vertex id
and
INDArray already exist.
- ArrayDescriptor - Class in org.nd4j.linalg.cache
-
This is utility class, made to compare java arrays for caching purposes.
- ArrayDescriptor(int[]) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor
-
- ArrayDescriptor(float[]) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor
-
- ArrayDescriptor(double[]) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor
-
- ArrayDescriptor(long[]) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor
-
- arrayOrdering - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy
-
- arrayShape - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy
-
This is a proxy class so that ndarrays can be serialized and deserialized independent of the backend
Be it cpu or gpu
- asFlatBuffers(ExecutorConfiguration) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
This method exports given SameDiff instance into FlatBuffers
- asFlatBuffers() - Method in class org.nd4j.autodiff.samediff.SameDiff
-
This method exports given SameDiff instance into FlatBuffers
- asFlatFile(File) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
This method converts SameDiff instance to FlatBuffers and saves it to file which can be restored later
- asFlatFile(File, ExecutorConfiguration) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
This method converts SameDiff instance to FlatBuffers and saves it to file which can be restored later
- asFlatNode(String, SameDiff, FlatBufferBuilder) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- asFlatNode(DifferentialFunction, FlatBufferBuilder, List<SDVariable>, Map<String, Integer>, Map<String, Integer>, Map<String, Integer>, AtomicInteger) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- asFlatPrint() - Method in class org.nd4j.autodiff.samediff.SameDiff
-
This method returns "flattened" graph.
- asFlatProperties(FlatBufferBuilder) - Method in class org.nd4j.autodiff.functions.FunctionProperties
-
This method converts this FunctionProperties instance to FlatBuffers representation
- asFlatProperties(FlatBufferBuilder, Collection<FunctionProperties>) - Static method in class org.nd4j.autodiff.functions.FunctionProperties
-
This method converts multiple FunctionProperties to FlatBuffers representation
- asin(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- asin(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- asin(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- ASin - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Arcsin elementwise function
- ASin(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASin
-
- ASin(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASin
-
- ASin(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASin
-
- ASin() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASin
-
- ASin(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASin
-
- ASin(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASin
-
- ASin(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASin
-
- ASin(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASin
-
- asin(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- asin(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- asin(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Return the sin value of the given complex number
- asinh(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- asinh(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- asinh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- ASinh - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Arcsin elementwise function
- ASinh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASinh
-
- ASinh(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASinh
-
- ASinh(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASinh
-
- ASinh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASinh
-
- ASinh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASinh
-
- ASinh(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASinh
-
- ASinh(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASinh
-
- ASinh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASinh
-
- asList() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Extract each example in the DataSet into its own DataSet object, and return all of them as a list
- asList() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
SplitV the MultiDataSet into a list of individual examples.
- asList() - Method in class org.nd4j.linalg.dataset.DataSet
-
- asList() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- asPercentageString() - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- asProperties() - Method in class org.nd4j.autodiff.functions.DifferentialFunction
-
Return function properties for the given function
- asProperties() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
Return function properties for the given function
- asSameDiff(SameDiff, SDVariable) - Method in enum org.nd4j.linalg.activations.Activation
-
Get the Activation as a SameDiff variable
- asSameDiff(String, SameDiff, SDVariable) - Method in enum org.nd4j.linalg.activations.Activation
-
Get the Activation as a SameDiff variable
- assertBroadcastable(INDArray, INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- assertBroadcastable(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- assertColumns(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
-
- assertDouble(INDArray...) - Static method in class org.nd4j.linalg.factory.DataTypeValidation
-
- assertDouble(INDArray) - Static method in class org.nd4j.linalg.factory.DataTypeValidation
-
- assertFloat(INDArray...) - Static method in class org.nd4j.linalg.factory.DataTypeValidation
-
- assertFloat(INDArray) - Static method in class org.nd4j.linalg.factory.DataTypeValidation
-
- assertMatrix(INDArray...) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
-
- assertMatrix(INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
-
- assertMultiplies(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
-
Asserts matrix multiply rules (columns of left == rows of right or rows of left == columns of right)
- assertRows(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
-
- assertSameDataType(INDArray...) - Static method in class org.nd4j.linalg.factory.DataTypeValidation
-
- assertSameLength(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
-
Asserts both arrays be the same length
- assertSameShape(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
-
- assertShapeLessThan(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Assert the both shapes are the same length
and shape[i] < lessThan[i]
- assertSlice(INDArray, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- assertValidForExecution() - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- assertValidForExecution() - Method in interface org.nd4j.linalg.api.ops.CustomOp
-
- assertValidForExecution() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- assertValidForExecution() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
-
- assertValidForExecution() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
-
- assertValidForExecution() - Method in class org.nd4j.linalg.api.ops.impl.shape.Concat
-
- assertValidForExecution() - Method in class org.nd4j.linalg.api.ops.impl.shape.ExpandDims
-
- assertValidForExecution() - Method in class org.nd4j.linalg.api.ops.impl.shape.Slice
-
- assertValidForExecution() - Method in class org.nd4j.linalg.api.ops.impl.shape.StridedSlice
-
- assertValidForExecution() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Fill
-
- assertValidNum(INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
-
- assertVector(INDArray...) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
-
- assertVector(INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
-
- assign(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- assign(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- assign(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- assign(IComplexNDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Assign all of the elements in the given
ndarray to this ndarray
- assign(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- assign(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Assign all of the elements in the given
ndarray to this nedarray
- assign(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Set the value of the ndarray to the specified value
- assign(IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Assign all of the elements in the given
ndarray to this nedarray
- assign(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Set the value of the ndarray to the specified value
- assign(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- assign(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Assign all of the elements in the given
ndarray to this ndarray
- assign(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Set the value of the ndarray to the specified value
- assign(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- assign(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- assign(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- assign(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Assign all of the elements in the given
ndarray to this ndarray
- assign(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Set all entries of the ndarray to the specified value
- Assign - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Assign op: x = y, with broadcast as required
- Assign() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Assign
-
- Assign(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Assign
-
- Assign(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Assign
-
- assignIf(INDArray, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Assign all elements from given ndarray that are matching given condition,
ndarray to this ndarray
- assignIf(INDArray, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- assignIf(INDArray, Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Assign all elements from given ndarray that are matching given condition,
ndarray to this ndarray
- assignIf(INDArray, INDArray, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
This method does element-wise comparison
for 2 equal-sized matrices, for each element that matches Condition.
- associateArrayWithVariable(INDArray, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Associate the array with the given variable.
- asString() - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- asString() - Method in class org.nd4j.linalg.profiler.data.StringCounter
-
- asTransform(INDArray, boolean) - Method in enum org.nd4j.linalg.activations.Activation
-
Get the Activation function as an ND4J Transform, applied on either the input or a copy of the input
- asTransformDerivative(INDArray, boolean) - Method in enum org.nd4j.linalg.activations.Activation
-
Get the Activation function derivative (i.e., dOut/dIn) as an ND4J Transform, applied on either the input
or a copy of the input
- asum(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
computes the sum of magnitudes of all vector elements or, for a complex vector x, the sum
- asum(int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- asum(IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
computes the sum of magnitudes
of all vector elements or,
for a complex vector x, the sum
- asum(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
Compute the sum of magnitude of the vector elements
- asum(int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- asum(IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- asum(INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes the sum of magnitudes of all vector elements or, for a complex vector x, the sum
- asum(int, DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.blas.Level1
-
sum of magnitudes of all elements
- asum(IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes the sum of magnitudes
of all vector elements or, for a complex vector x, the sum
- ASum - Class in org.nd4j.linalg.api.ops.impl.accum
-
Absolute sum the components
- ASum(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ASum
-
- ASum(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ASum
-
- ASum() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ASum
-
- ASum(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ASum
-
- ASum(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ASum
-
- ASum(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ASum
-
- ASum(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ASum
-
- asum(INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- asum(IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- asum(INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- asum(IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- asum(INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute || x ||_1 (1-norm, sum of absolute values)
- asum(IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- asyncSupported() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
Does this DataSetIterator support asynchronous prefetching of multiple DataSet objects?
Most DataSetIterators do, but in some cases it may not make sense to wrap this iterator in an
iterator that does asynchronous prefetching.
- asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
- asyncSupported() - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator
-
Does this MultiDataSetIterator support asynchronous prefetching of multiple MultiDataSet objects?
Most MultiDataSetIterators do, but in some cases it may not make sense to wrap this iterator in an
iterator that does asynchronous prefetching.
- asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
- asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator
-
- asyncSupported() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- asyncSupported() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- asyncSupported() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- atan(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- atan(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- atan(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- ATan - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Arc Tangent elementwise function
- ATan(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATan
-
- ATan(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATan
-
- ATan(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATan
-
- ATan() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATan
-
- ATan(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATan
-
- ATan(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATan
-
- ATan(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATan
-
- ATan(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATan
-
- atan(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- atan(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- atan(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Return the sin value of the given complex number
- atan2(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- atan2(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- atan2(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- ATan2 - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Arc Tangent elementwise function
- ATan2(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATan2
-
- ATan2() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATan2
-
- atan2(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Atan2 operation, new INDArray instance will be returned
Note the order of x and y parameters is opposite to that of java.lang.Math.atan2
- atanh(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- atanh(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- atanh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- ATanh - Class in org.nd4j.linalg.api.ops.impl.transforms
-
tan elementwise function
- ATanh(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATanh
-
- ATanh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATanh
-
- ATanh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATanh
-
- ATanh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATanh
-
- ATanh(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATanh
-
- ATanh(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATanh
-
- ATanh(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATanh
-
- ATanh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATanh
-
- atanh(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sin function
- atanh(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sin function
- AtomicThrowable - Class in org.nd4j.linalg.util
-
This class provides thread-safe holder for Throwable
- AtomicThrowable() - Constructor for class org.nd4j.linalg.util.AtomicThrowable
-
This method creates new instance
- AtomicThrowable(Exception) - Constructor for class org.nd4j.linalg.util.AtomicThrowable
-
This method creates new instance with given initial state
- attachThread(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelDataSetIterator
-
This method sets consumer affinity to specific producer
PLEASE NOTE: this method is optional, and it'll change only nextFor()/hasNextFor() mechanics
- attachThread(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelMultiDataSetIterator
-
This method sets consumer affinity to specific producer
PLEASE NOTE: this method is optional, and it'll change only nextFor()/hasNextFor() mechanics
- attachThreadToDevice(Thread, Integer) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method attaches specified thread to specified device
- attachThreadToDevice(long, Integer) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method attaches specified thread (by Id) to specified device
- attachThreadToDevice(Thread, Integer) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- attachThreadToDevice(long, Integer) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- ATTR_DEFAULT_FIELD_NUMBER - Static variable in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
- ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef
-
- ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.FunctionDef
-
- ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NameAttrList
-
- ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeDef
-
- ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef
-
- ATTR_RENAME_FIELD_NUMBER - Static variable in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
- ATTRIBUTE_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.NodeProto
-
- ATTRIBUTE_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.NodeProto
-
- AttributeAdapter - Interface in org.nd4j.imports.descriptors.properties
-
Attribute adapter for taking an attribute with an input value
and mapping it to the proper output.
- attributeAdaptersForFunction() - Method in class org.nd4j.autodiff.functions.DifferentialFunction
-
Returns the
AttributeAdapter s for each of the
possible ops for import (typically tensorflow and onnx)
See
AttributeAdapter for more information on what the
adapter does.
- attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.accum.CumProd
-
- attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.accum.CumSum
-
- attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp
-
- attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D
-
- attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
-
- attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D
-
- attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D
-
- attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.FullConv3D
-
- attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Dilation2D
-
- attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast
-
- AttrValue - Class in org.tensorflow.framework
-
Protocol buffer representing the value for an attr used to configure an Op.
- AttrValue.Builder - Class in org.tensorflow.framework
-
Protocol buffer representing the value for an attr used to configure an Op.
- AttrValue.ListValue - Class in org.tensorflow.framework
-
LINT.IfChange
- AttrValue.ListValue.Builder - Class in org.tensorflow.framework
-
LINT.IfChange
- AttrValue.ListValueOrBuilder - Interface in org.tensorflow.framework
-
- AttrValue.ValueCase - Enum in org.tensorflow.framework
-
- AttrValueOrBuilder - Interface in org.tensorflow.framework
-
- AttrValueProtos - Class in org.tensorflow.framework
-
- AUDIO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Value
-
- AUTO - Static variable in class org.nd4j.graph.ExecutionMode
-
- autoDecompress(INDArray...) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Decompress several ndarrays
- autoDecompress(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
- autoProcessScalarCall() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- average(INDArray, INDArray[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
This method averages input arrays, and returns averaged array
- average(INDArray[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
This method averages input arrays, and returns averaged array
- average(Collection<INDArray>) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
This method averages input arrays, and returns averaged array
- average(INDArray, Collection<INDArray>) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
This method averages input arrays, and returns averaged array
- averageAndPropagate(INDArray, INDArray[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method averages input arrays, and returns averaged array.
- averageAndPropagate(INDArray[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method averages input arrays, and returns averaged array.
- averageAndPropagate(Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method averages input arrays, and returns averaged array.
- averageAndPropagate(INDArray, Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method averages input arrays, and returns averaged array.
- averageLoopTime - Variable in class org.nd4j.linalg.memory.BasicMemoryManager
-
- averagingEnabled - Variable in class org.nd4j.linalg.memory.BasicMemoryManager
-
- avgPooling2d(SDVariable[], Pooling2DConfig) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
Average pooling 2d operation.
- avgPooling2d(SDVariable[], Pooling2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Average pooling 2d operation.
- avgPooling2d(String, SDVariable[], Pooling2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Average pooling 2d operation.
- AvgPooling2D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
-
Average Pooling2D operation
- AvgPooling2D(SameDiff, SDVariable[], INDArray[], INDArray[], Pooling2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D
-
- AvgPooling2D.Pooling2DType - Enum in org.nd4j.linalg.api.ops.impl.layers.convolution
-
- avgPooling3d(SDVariable[], Pooling3DConfig) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
Avg pooling 3d operation.
- avgPooling3d(SDVariable[], Pooling3DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Average pooling 3d operation.
- avgPooling3d(String, SDVariable[], Pooling3DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Average pooling 3d operation.
- axis - Variable in class org.nd4j.linalg.api.ops.impl.shape.Gather
-
- axis - Variable in class org.nd4j.linalg.api.ops.impl.shape.Stack
-
- axpy(int, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
computes a vector-scalar product and adds the result to a vector.
- axpy(int, double, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- axpy(int, IComplexNumber, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
computes a vector-scalar product and adds the result to a vector.
- axpy(int, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
Adds a scalar multiple of compressed sparse vector to a full-storage vector.
- axpy(int, double, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- axpy(int, IComplexNumber, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- axpy(int, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes a vector-scalar product and adds the result to a vector.
- axpy(int, double, DataBuffer, int, int, DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes a vector-scalar product and adds the result to a vector.
- axpy(int, IComplexNumber, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes a vector-scalar product and adds the result to a vector.
- Axpy - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic
-
Level 1 blas op Axpy as libnd4j native op
- Axpy(SameDiff, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy
-
- Axpy(SameDiff, SDVariable, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy
-
- Axpy(SameDiff, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy
-
- Axpy(SameDiff, SDVariable, SDVariable, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy
-
- Axpy(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy
-
- Axpy(SameDiff, SDVariable, int[], boolean, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy
-
- Axpy(SameDiff, SDVariable, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy
-
- Axpy() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy
-
- Axpy(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy
-
- Axpy(INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy
-
- Axpy(INDArray, INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy
-
- axpy(Number, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- axpy(double, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- axpy(float, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- axpy(IComplexNumber, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- axpy(double, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- axpy(float, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- axpy(Number, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- axpy(IComplexNumber, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- axpy(double, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- axpy(float, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- axpy(Number, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute y <- y + x * alpha
- axpy(IComplexNumber, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- C - Static variable in interface org.nd4j.linalg.factory.NDArrayFactory
-
- CachingDataSetIterator - Class in org.nd4j.linalg.dataset.api.iterator
-
Created by anton on 7/16/16.
- CachingDataSetIterator(DataSetIterator, DataSetCache, String) - Constructor for class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- CachingDataSetIterator(DataSetIterator, DataSetCache, String, boolean) - Constructor for class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- CachingDataSetIterator(DataSetIterator, DataSetCache) - Constructor for class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- calculateOutputShape() - Method in class org.nd4j.autodiff.functions.DifferentialFunction
-
Calculate
the output shape for this op
- calculateOutputShape(CustomOp) - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp
-
Calculate the output shape for this op
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.BaseTransformOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- calculateOutputShape() - Method in interface org.nd4j.linalg.api.ops.CustomOp
-
Calculate the output shape for this op
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- calculateOutputShape(CustomOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- calculateOutputShape(CustomOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.accum.Mmul
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.accum.TensorMmul
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BiasAdd
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Exit
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.LoopCond
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.NextIteration
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.IfDerivative
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.layers.Linear
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.shape.Broadcast
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeAvg
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeMax
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeSum
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.shape.Rank
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.shape.Reshape
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.shape.RollAxis
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.shape.Tile
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.shape.Transpose
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp.BaseArithmeticBackpropOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Fill
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.random.BaseRandomOp
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.random.impl.Range
-
- calculateOutputShape() - Method in class org.nd4j.linalg.api.ops.ShapeOp
-
- callInplace(boolean) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
-
Whether an op call is in place or not.
- canDoOpDirectly(INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
Can we do the op (X = Op(X)) directly on the arrays without breaking X up into 1d tensors first?
In general, this is possible if the elements of X are contiguous in the buffer, OR if every element
of X is at position offset+i*elementWiseStride in the buffer
- canDoOpDirectly(INDArray, INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
Can we do the transform op (X = Op(X,Y)) directly on the arrays without breaking them up into 1d tensors first?
- canDoOpDirectly(INDArray, INDArray, INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
Can we do the transform op (Z = Op(X,Y)) directly on the arrays without breaking them up into 1d tensors first?
- canInsert(DataBuffer, int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Return if there is enough allocated memory space to add data of a given length in the databuffer
- Cast - Class in org.nd4j.linalg.api.ops.impl.transforms.dtype
-
Cast op wrapper.
- Cast() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast
-
- Cast(SameDiff, SDVariable, DataBuffer.Type) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast
-
- caxpy(int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- ccopy(int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- cdotc_sub(int, IComplexNDArray, int, IComplexNDArray, int, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- cdotu_sub(int, IComplexNDArray, int, IComplexNDArray, int, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- ceil(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- ceil(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- ceil(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- Ceil - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Ceiling elementwise function
- Ceil(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Ceil
-
- Ceil(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Ceil
-
- Ceil(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Ceil
-
- Ceil() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Ceil
-
- Ceil(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Ceil
-
- Ceil(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Ceil
-
- Ceil(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Ceil
-
- Ceil(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Ceil
-
- ceil(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- ceil(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- ceil(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Return the ceiling value of the given complex number
- ceiling(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Binary matrix of whether the number at a given index is greater than
- ceiling(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Ceiling function
- center(IComplexNDArray, int[]) - Static method in class org.nd4j.linalg.util.ComplexNDArrayUtil
-
Center an array
- cgbmv(char, char, int, int, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- cgemm(char, char, char, int, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- cgemv(char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- cgerc(char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- cgeru(char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- chbmv(char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- checkAdd(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
Same as checkMmul, but for matrix addition
- checkArrangeArray(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- checkDimensions(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Validate dimensions are equal
- checkDimensions(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Validate dimensions are equal
- checkDimensions(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- checkDimensions(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- checkDimensions(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Validate dimensions are equal
- checkDivManually(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- checkEntries(RealMatrix, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- checkEntries(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- checkForAny(INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
- checkForCompression(Op) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- checkForInf(INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
- checkForInf(Op) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
- checkForNaN(INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
- checkForNaN(Op) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
- checkForWorkspaces(Op) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- checkGemm(INDArray, INDArray, INDArray, boolean, boolean, double, double, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- checkGradients(SDVariable, SDVariable, double, double, boolean, Map<String, INDArray>) - Static method in class org.nd4j.autodiff.gradcheck.GradCheckUtil
-
- checkGradients(SameDiff) - Static method in class org.nd4j.autodiff.gradcheck.GradCheckUtil
-
- checkGradients(SameDiff, boolean, boolean) - Static method in class org.nd4j.autodiff.gradcheck.GradCheckUtil
-
- checkGradients(SameDiff, double, double, double, boolean, boolean) - Static method in class org.nd4j.autodiff.gradcheck.GradCheckUtil
-
- checkIfExists(T) - Method in class org.nd4j.linalg.memory.stash.BasicStash
-
- checkIfExists(T) - Method in interface org.nd4j.linalg.memory.stash.Stash
-
- checkIfStashExists(T) - Method in class org.nd4j.linalg.memory.stash.BasicStashManager
-
- checkIfStashExists(T) - Method in interface org.nd4j.linalg.memory.stash.StashManager
-
- checkIfWorkspaceExists(String) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method checks, if Workspace with a given Id was created before this call
- checkIfWorkspaceExistsAndActive(String) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- checkInfo(String, int) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- checkInfo(String, int) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- checkInfo(String, int) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- checkMmul(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
Check first.mmul(second) using Apache commons math mmul.
- checkMulManually(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- checkShapeValues(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- checkShapeValues(int, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- checkSubtract(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
Same as checkMmul, but for matrix subtraction
- CheckUtil - Class in org.nd4j.linalg.checkutil
-
- CheckUtil() - Constructor for class org.nd4j.linalg.checkutil.CheckUtil
-
- checkVersions() - Static method in class org.nd4j.versioncheck.VersionCheck
-
Perform a check of the versions of ND4J, DL4J, DataVec, RL4J and Arbiter dependencies, logging a warning
if necessary.
- chemm(char, char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- chemv(char, char, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- cher(char, char, int, float, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- cher2(char, char, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- cher2k(char, char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- cherk(char, char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- Choice - Class in org.nd4j.linalg.api.ops.random.impl
-
This Op implements numpy.choice method
It fills Z from source, following probabilities for each source element
- Choice() - Constructor for class org.nd4j.linalg.api.ops.random.impl.Choice
-
- Choice(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.Choice
-
- choice(INDArray, INDArray, INDArray, Random) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method samples value from Source array to Target, with probabilites provided in Probs argument
- choice(INDArray, INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method samples value from Source array to Target, with probabilites provided in Probs argument
- choice(INDArray, INDArray, int, Random) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns new INDArray instance, sampled from Source array with probabilities given in Probs
- choice(INDArray, INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns new INDArray instance, sampled from Source array with probabilities given in Probs
- Choose - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
-
This op allows us to (based on the passed in condition)
to return the element fulfilling the condition.
- Choose(SameDiff, SDVariable[], Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Choose
-
- Choose(String, INDArray[], INDArray[], List<Double>, List<Integer>) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Choose
-
- Choose(String, INDArray[], Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Choose
-
- Choose(INDArray[], Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Choose
-
- Choose(INDArray[], List<Integer>, List<Double>, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Choose
-
Note that iArgs (integer arguments) and tArgs(double/float arguments)
may end up being used under the following conditions:
scalar operations (if a scalar is specified the you do not need to specify an ndarray)
otherwise, if an ndarray is needed as a second input then put it in the inputs
Usually, you only need 1 input (the equivalent of the array you're trying to do indexing on)
- Choose(String, SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Choose
-
- Choose() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Choose
-
- chooseElementWiseTensorDimension(INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
Choose tensor dimension for operations with one argument: x=Op(x) or similar
When doing some operations in parallel, it is necessary to break up
operations along a dimension to
give a set of 1d tensors.
- chooseElementWiseTensorDimension(INDArray, INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
Choose tensor dimension for operations with 2 arguments: x=Op(x,y) or similar
- chooseElementWiseTensorDimension(INDArray, INDArray, INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
Choose tensor dimension for operations with 3 arguments: z=Op(x,y) or similar
- chooseFrom(INDArray[], Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
Choose from the inputs based on the given condition.
- chooseFrom(INDArray[], List<Double>, List<Integer>, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
Choose from the inputs based on the given condition.
- chpmv(char, char, int, IComplexFloat, IComplexNDArray, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- chpr(char, char, int, INDArray, IComplexNDArray, int, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- chpr2(char, char, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- cleanup() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Deprecated.
- cleanup() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- cleanup() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Cleanup resources
- clear() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
- clear() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
- clear() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
- clear() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
- clear() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
- clear() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
- clear() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
- clear() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
- clear() - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
- clear() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
- clear() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
- clear() - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
- clear() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
- clear() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- clear() - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- clear() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
- clear() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
- clear() - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
This method purges everything from storage
- clear() - Method in class org.nd4j.linalg.util.DeviceLocal
-
This method removes object stored for current device
- clear() - Method in class org.nd4j.list.BaseNDArrayList
-
- clear() - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
-
- clear() - Method in class org.nd4j.list.NDArrayList
-
- clear() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
- clear() - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
- clear() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- clear() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
- clear() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
- clear() - Method in class org.tensorflow.framework.ApiDef.Builder
-
- clear() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- clear() - Method in class org.tensorflow.framework.ApiDefs.Builder
-
- clear() - Method in class org.tensorflow.framework.AttrValue.Builder
-
- clear() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
- clear() - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
- clear() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
- clear() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- clear() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- clear() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
- clear() - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
- clear() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
- clear() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- clear() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
- clear() - Method in class org.tensorflow.framework.GradientDef.Builder
-
- clear() - Method in class org.tensorflow.framework.GraphDef.Builder
-
- clear() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
- clear() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
- clear() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
- clear() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
- clear() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
- clear() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
-
- clear() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
- clear() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
-
- clear() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
- clear() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- clear() - Method in class org.tensorflow.framework.KernelDef.Builder
-
- clear() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- clear() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- clear() - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
- clear() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- clear() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- clear() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- clear() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
- clear() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- clear() - Method in class org.tensorflow.framework.NodeDef.Builder
-
- clear() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
- clear() - Method in class org.tensorflow.framework.NodeOutput.Builder
-
- clear() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
- clear() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
- clear() - Method in class org.tensorflow.framework.OpDef.Builder
-
- clear() - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
- clear() - Method in class org.tensorflow.framework.OpList.Builder
-
- clear() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
- clear() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- clear() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- clear() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
- clear() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- clear() - Method in class org.tensorflow.framework.StepStats.Builder
-
- clear() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
- clear() - Method in class org.tensorflow.framework.Summary.Builder
-
- clear() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
- clear() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- clear() - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
- clear() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
- clear() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- clear() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
- clear() - Method in class org.tensorflow.framework.TensorProto.Builder
-
- clear() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
- clear() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- clear() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
- clear() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- clear() - Method in class org.tensorflow.framework.VariableDef.Builder
-
- clear() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
- clear() - Method in class org.tensorflow.framework.VersionDef.Builder
-
- clear() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
- clear() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
- clear() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
- clear() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
-
- clear() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
- clearAlias() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Create *additional* API endpoints with different names (contrast
with rename_to, which affects the original name).
- clearAliasInputPort() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
If >= 0, the output is an alias of an input.
- clearAllEndRelMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 all_end_rel_micros = 5;
- clearAllocatedBytes() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Total number of bytes allocated if known
- clearAllocationDescription() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Information about the size and allocator used for the data
- clearAllocationId() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Identifier of the allocated buffer if known
- clearAllocationId() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Id of the tensor buffer being allocated, used to match to a
corresponding deallocation.
- clearAllocationId() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- clearAllocationId() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- clearAllocationRecords() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- clearAllocatorBytesInUse() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
These are snapshots of the overall allocator memory stats.
- clearAllocatorName() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Name of the allocator used
- clearAllocatorName() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
string allocator_name = 1;
- clearAllocatorName() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the allocator used.
- clearAllocatorName() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the allocator used.
- clearAllocatorName() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
Name of the allocator used.
- clearAllocBytes() - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
Number of bytes allocated, or de-allocated if negative.
- clearAllocMicros() - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
The timestamp of the operation.
- clearAllowedValues() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
A list of values that this kernel supports for this attr.
- clearAllowedValues() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
The set of allowed values.
- clearAllowsUninitializedInput() - Method in class org.tensorflow.framework.OpDef.Builder
-
By default, all inputs to an Op must be initialized Tensors.
- clearAllStartMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 all_start_micros = 2;
- clearArgOrder() - Method in class org.tensorflow.framework.ApiDef.Builder
-
List of original in_arg names to specify new argument order.
- clearAttr() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- clearAttr() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- clearAttr() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- clearAttr() - Method in class org.tensorflow.framework.NodeDef.Builder
-
- clearAttr() - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- clearAttrDefault() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- clearAttribute() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- clearAttribute() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- clearAttrRename() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- clearAudio() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Audio audio = 6;
- clearB() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"bool"
- clearB() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(bool)"
- clearBadConsumers() - Method in class org.tensorflow.framework.VersionDef.Builder
-
Specific consumer versions which are disallowed (e.g.
- clearBegin() - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
int64 begin = 1;
- clearBegin() - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
int64 begin = 1;
- clearBoolVal() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_BOOL
- clearBucket() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
repeated double bucket = 7 [packed = true];
- clearBucketLimit() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- clearBusId() - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
Optional bus locality of device.
- clearColorspace() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
Valid colorspace values are
1 - grayscale
2 - grayscale + alpha
3 - RGB
4 - RGBA
5 - DIGITAL_YUV
6 - BGRA
- clearComputeCost() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Estimate of the computational cost of this node, in microseconds.
- clearComputeTime() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Analytical estimate of the computational cost of this node, in
microseconds.
- clearConstNodeInfo() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- clearConstraint() - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- clearContainer() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Container in which this resource is placed.
- clearContent() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
The content to store for the plugin.
- clearContentType() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
string content_type = 5;
- clearControlInput() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Ids of the control inputs for this node.
- clearCurrentWork() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
bytes current_work = 4;
- clearData() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
bytes data = 4;
- clearDataType() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The data type of the tensor.
- clearDataType() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The data type of the tensor.
- clearDcomplexVal() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX128.
- clearDefaultGraphInputTensorShape() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- clearDefaultGraphOutputTensorShape() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- clearDefaultValue() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Specify a new default value to use for this attr.
- clearDefaultValue() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A reasonable default for this attribute if the user does not supply
a value.
- clearDeferred() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
True if the deallocation is queued and will be performed later,
e.g.
- clearDeprecation() - Method in class org.tensorflow.framework.OpDef.Builder
-
Optional deprecation based on GraphDef versions.
- clearDeprecationVersion() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
First GraphDef version at which the op is disallowed.
- clearDescription() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
Note: this will replace any inherited arg doc.
- clearDescription() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- clearDescription() - Method in class org.tensorflow.framework.ApiDef.Builder
-
Additional, longer human-readable description of what the Op does.
- clearDescription() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Human readable description.
- clearDescription() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
Human-readable description.
- clearDescription() - Method in class org.tensorflow.framework.OpDef.Builder
-
Additional, longer human-readable description of what the Op does.
- clearDescriptionPrefix() - Method in class org.tensorflow.framework.ApiDef.Builder
-
Modify an existing/inherited description by adding text to the beginning
or end.
- clearDescriptionSuffix() - Method in class org.tensorflow.framework.ApiDef.Builder
-
string description_suffix = 10;
- clearDestination() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Destination of graph transfer
- clearDevice() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The device of the node.
- clearDevice() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
string device = 1;
- clearDevice() - Method in class org.tensorflow.framework.NodeDef.Builder
-
A (possibly partial) specification for the device on which this
node should be placed.
- clearDevice() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name for the device containing the resource.
- clearDevicePersistentMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
int64 device_persistent_memory_size = 16;
- clearDevicePersistentMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
int64 device_persistent_memory_size = 4;
- clearDevicePersistentTensorAllocIds() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 device_persistent_tensor_alloc_ids = 6;
- clearDeviceTempMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
int64 device_temp_memory_size = 11;
- clearDeviceTempMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
int64 device_temp_memory_size = 2;
- clearDeviceType() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of device_type.
- clearDeviceType() - Method in class org.tensorflow.framework.KernelDef.Builder
-
Type of device this kernel runs on.
- clearDevStats() - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- clearDim() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- clearDim() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- clearDim() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- clearDimParam() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
namespace Shape
- clearDimParam() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
namespace Shape
- clearDims() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The shape of the tensor.
- clearDims() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The shape of the tensor.
- clearDimValue() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
int64 dim_value = 1;
- clearDimValue() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
int64 dim_value = 1;
- clearDisplayName() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Display name for viewing in TensorBoard.
- clearDocString() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
A human-readable documentation for this attribute.
- clearDocString() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A human-readable documentation for this graph.
- clearDocString() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
A human-readable documentation for this model.
- clearDocString() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
A human-readable documentation for this node.
- clearDocString() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
A human-readable documentation for this tensor.
- clearDocString() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
A human-readable documentation for this value.
- clearDocString() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
A human-readable documentation for this operator.
- clearDocString() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
A human-readable documentation for this set of operators.
- clearDocString() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
A human-readable documentation for this attribute.
- clearDocString() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A human-readable documentation for this graph.
- clearDocString() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
A human-readable documentation for this model.
- clearDocString() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
A human-readable documentation for this node.
- clearDocString() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
A human-readable documentation for this tensor.
- clearDocString() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
A human-readable documentation for this value.
- clearDomain() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Domain name of the model.
- clearDomain() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- clearDomain() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
The domain of the operator set being identified.
- clearDomain() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).
- clearDomain() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Domain name of the model.
- clearDomain() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- clearDomain() - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
The domain of the operator set being identified.
- clearDoubleData() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- clearDoubleData() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- clearDoubleVal() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_DOUBLE.
- clearDtype() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.DataType dtype = 4;
- clearDtype() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
.tensorflow.DataType dtype = 5;
- clearDtype() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- clearDtype() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- clearDtype() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.DataType dtype = 1;
- clearDtype() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Data type of tensor elements
- clearDtype() - Method in class org.tensorflow.framework.TensorProto.Builder
-
.tensorflow.DataType dtype = 1;
- clearElemType() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
The type and optional shape of each element of the sequence.
- clearElemType() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- clearElemType() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- clearEncodedAudioString() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Encoded audio data and its associated RFC 2045 content type (e.g.
- clearEncodedImageString() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
Image data in encoded format.
- clearEnd() - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
int64 end = 2;
- clearEnd() - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
int64 end = 2;
- clearEndpoint() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- clearExecutorName() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Executor's name
- clearExplanation() - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
Explanation of why it was deprecated and what to use instead.
- clearExtent() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- clearExternalAllocations() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- clearF() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
Exactly ONE of the following fields must be present for this version of the IR
- clearF() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
Exactly ONE of the following fields must be present for this version of the IR
- clearF() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"float"
- clearF() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(float)"
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ApiDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.AttrValue.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GradientDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.KernelDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.NodeDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.NodeOutput.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.OpDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.OpList.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.StepStats.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.Summary.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.Summary.Image.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.VariableDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.framework.VersionDef.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
- clearFloatData() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- clearFloatData() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- clearFloats() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of floats
- clearFloats() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of floats
- clearFloatVal() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_FLOAT.
- clearFrom() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
-
string from = 1;
- clearFullName() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Name of the full variable of which this is a slice.
- clearFullShape() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of the full variable.
- clearFunc() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"func" represents a function.
- clearFunc() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- clearFunction() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- clearFunctionName() - Method in class org.tensorflow.framework.GradientDef.Builder
-
The function name.
- clearG() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
graph
- clearG() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
graph
- clearGradient() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- clearGradientFunc() - Method in class org.tensorflow.framework.GradientDef.Builder
-
The gradient function's name.
- clearGraph() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- clearGraph() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- clearGraphInputNodeInfo() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- clearGraphInputNodeName() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph input node name
- clearGraphOpName() - Method in class org.tensorflow.framework.ApiDef.Builder
-
Name of the op (in the OpDef) to specify the API for.
- clearGraphOutputNodeInfo() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- clearGraphOutputNodeName() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph output node name
- clearGraphs() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- clearGraphs() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- clearHalfVal() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_HALF.
- clearHandle() - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
Handle describing the feeds and fetches of the step.
- clearHashCode() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Hash code for the type of the resource.
- clearHasLength() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- clearHasMinimum() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
For type == "int", this is a minimum value.
- clearHasSingleReference() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Set if this tensor only has one remaining reference
- clearHeight() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
Dimensions of the image.
- clearHide() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Hide this op by putting it into an internal namespace (or whatever
is appropriate in the target language).
- clearHisto() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.HistogramProto histo = 5;
- clearHostMemoryArg() - Method in class org.tensorflow.framework.KernelDef.Builder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- clearHostPersistentMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
int64 host_persistent_memory_size = 12;
- clearHostPersistentMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
int64 host_persistent_memory_size = 3;
- clearHostPersistentTensorAllocIds() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 host_persistent_tensor_alloc_ids = 5;
- clearHostTempMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
int64 host_temp_memory_size = 10;
- clearHostTempMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
int64 host_temp_memory_size = 1;
- clearI() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
int
- clearI() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
int
- clearI() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"int"
- clearI() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(int)"
- clearId() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The id of the node.
- clearImage() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Image image = 4;
- clearInArg() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- clearIncarnation() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
A device is assigned a global unique number each time it is
initialized.
- clearIndex() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Index of the output being set.
- clearInitializer() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- clearInitializer() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- clearInitializerName() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the initializer op.
- clearInitialValueName() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the tensor holding the variable's initial value.
- clearInput() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- clearInput() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- clearInput() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- clearInput() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- clearInput() - Method in class org.tensorflow.framework.NodeDef.Builder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- clearInputArg() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- clearInputCount() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
int32 input_count = 6;
- clearInputInfo() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- clearInputRename() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- clearInt32Data() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- clearInt32Data() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- clearInt64Data() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int64.
- clearInt64Data() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int64.
- clearInt64Val() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT64
- clearInts() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of ints
- clearInts() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of ints
- clearIntVal() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- clearIrBuildMetadata() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The build metadata component of the SemVer of the IR.
- clearIrVersion() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the IR this model targets.
- clearIrVersion() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
All OperatorSetProtos indicate the version of the IR syntax and semantics
they adhere to.
- clearIrVersion() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the IR this model targets.
- clearIrVersionPrerelease() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The prerelease component of the SemVer of the IR.
- clearIsAggregate() - Method in class org.tensorflow.framework.OpDef.Builder
-
If is_aggregate is true, then this operation accepts N >= 2
inputs and produces 1 output all of the same type.
- clearIsCommutative() - Method in class org.tensorflow.framework.OpDef.Builder
-
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
- clearIsFinal() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
If true, the output is permanent: it can't be discarded, because this
node is part of the "final output".
- clearIsRef() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
For inputs: if true, the inputs are required to be refs.
- clearIsResource() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Whether to represent this as a ResourceVariable.
- clearIsStateful() - Method in class org.tensorflow.framework.OpDef.Builder
-
By default Ops may be moved between devices.
- clearKernelName() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- clearKernelName() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- clearKey() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
string key = 1;
- clearKey() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
string key = 1;
- clearKeys() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
Keys for tensors in the VariantTensorDataProto.
- clearKeyType() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- clearLabel() - Method in class org.tensorflow.framework.KernelDef.Builder
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- clearLength() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
int64 length = 2;
- clearLengthFrames() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Length of the audio in frames (samples per channel).
- clearLibrary() - Method in class org.tensorflow.framework.GraphDef.Builder
-
EXPERIMENTAL.
- clearList() - Method in class org.tensorflow.framework.AttrValue.Builder
-
any "list(...)"
- clearListener(OpProfiler.OpProfilerListener) - Method in class org.nd4j.linalg.profiler.OpProfiler
-
Clear the listener from the profiler
- clearLiveBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The bytes that are not deallocated.
- clearLocality() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- clearMagic() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
All OperatorSetProtos start with a distingushed byte sequence to disambiguate
protobuf files containing OperatorSets from other content.
- clearMapType() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a map.
- clearMax() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double max = 2;
- clearMaxByteSize() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
-
repeated int32 max_byte_size = 2;
- clearMaybeTypeName() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
For debug-only, the name of the type pointed to by this handle, if
available.
- clearMemory() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- clearMemoryLimit() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Memory capacity of device in bytes.
- clearMemoryStats() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
.tensorflow.MemoryStats memory_stats = 12;
- clearMemoryTime() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Analytical estimate of the memory access cost of this node, in
microseconds.
- clearMetadata() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Contains metadata on the summary value such as which plugins may use it.
- clearMetadata() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Portions of the object that are not Tensors.
- clearMetadataProps() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- clearMetadataProps() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- clearMin() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double min = 1;
- clearMinConsumer() - Method in class org.tensorflow.framework.VersionDef.Builder
-
Any consumer below this version is not allowed to consume this data.
- clearMinimum() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
int64 minimum = 6;
- clearModelVersion() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the graph encoded.
- clearModelVersion() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the graph encoded.
- clearName() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
The name field MUST be present for this version of the IR.
- clearName() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The name of the graph.
- clearName() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
An optional identifier for this node in a graph.
- clearName() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
Optionally, a name for the tensor.
- clearName() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- clearName() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
The name field MUST be present for this version of the IR.
- clearName() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The name of the graph.
- clearName() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
An optional identifier for this node in a graph.
- clearName() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
Optionally, a name for the tensor.
- clearName() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- clearName() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
string name = 1;
- clearName() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
string name = 1;
- clearName() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- clearName() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The name of the node.
- clearName() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Fully specified name of the device within a cluster.
- clearName() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
string name = 1;
- clearName() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
string name = 1;
- clearName() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
string name = 1;
- clearName() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
string name = 1;
- clearName() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
Name of an attr from the Op.
- clearName() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
string name = 1;
- clearName() - Method in class org.tensorflow.framework.NodeDef.Builder
-
The name given to this operator.
- clearName() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Name for the input/output.
- clearName() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A descriptive name for the argument.
- clearName() - Method in class org.tensorflow.framework.OpDef.Builder
-
Op names starting with an underscore are reserved for internal use.
- clearName() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name of this resource.
- clearName() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
Optional name of the tensor dimension.
- clearName() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
string name = 1;
- clearName() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Name of the op to apply overrides to.
- clearNans(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Clear nans from an ndarray
- clearNode() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- clearNode() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- clearNode() - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- clearNode() - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- clearNodeDef() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- clearNodeId() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
int32 node_id = 2;
- clearNodeId() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
int32 node_id = 2;
- clearNodeId() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
-
int32 node_id = 1;
- clearNodeId() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
int32 node_id = 1;
- clearNodeId() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
-
int32 node_id = 1;
- clearNodeInfo() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- clearNodeInput() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- clearNodeInputInfo() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- clearNodeName() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- clearNodeName() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
This field is deprecated and will not be set.
- clearNodeOutputInfo() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- clearNodeStats() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- clearNum() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double num = 3;
- clearNumberAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "int"
- clearNumBytes() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Number of bytes in the allocation.
- clearNumChannels() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Number of channels of audio.
- clearNumRecordsProduced() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
int64 num_records_produced = 3;
- clearObsoleteOldStyleHistogram() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
bytes obsolete_old_style_histogram = 3;
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ApiDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.AttrValue.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GradientDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.KernelDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.NodeDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.NodeOutput.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.OpDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.OpList.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.StepStats.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.Summary.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.Summary.Image.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.VariableDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.framework.VersionDef.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
- clearOp() - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- clearOp() - Method in class org.tensorflow.framework.KernelDef.Builder
-
Must match the name of an Op.
- clearOp() - Method in class org.tensorflow.framework.NodeDef.Builder
-
The operation name.
- clearOp() - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- clearOp() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
repeated .tensorflow.OpGenOverride op = 1;
- clearOpEndRelMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 op_end_rel_micros = 4;
- clearOperation() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the operation making the allocation.
- clearOperation() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the operation making the deallocation.
- clearOperator() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- clearOpsetImport() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- clearOpsetImport() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- clearOpsetVersion() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The version of the set of operators.
- clearOpStartRelMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 op_start_rel_micros = 3;
- clearOpType() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
The symbolic identifier of the Operator to execute.
- clearOpType() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
The name of the operator within a domain.
- clearOpType() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
The symbolic identifier of the Operator to execute.
- clearOutArg() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- clearOutput() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- clearOutput() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- clearOutput() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- clearOutput() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- clearOutput() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- clearOutputArg() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- clearOutputCount() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
int32 output_count = 7;
- clearOutputInfo() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- clearOutputPort() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
-
int32 output_port = 2;
- clearOutputRename() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- clearPaddingId() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
int32 padding_id = 5;
- clearPeakBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
int64 peak_bytes = 3;
- clearPhysicalDeviceDesc() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of the physical device that this device maps to.
- clearPinnedAllocations(boolean) - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- clearPlaceholder() - Method in class org.tensorflow.framework.AttrValue.Builder
-
This is a placeholder only used in nodes defined inside a
function.
- clearPluginData() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Data that associates a summary with a certain plugin.
- clearPluginName() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
The name of the plugin this data pertains to.
- clearPrecedingNode() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
int32 preceding_node = 1;
- clearPrecedingPort() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
int32 preceding_port = 2;
- clearProducer() - Method in class org.tensorflow.framework.VersionDef.Builder
-
The version of the code that produced this data.
- clearProducerName() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The name of the framework or tool used to generate this model.
- clearProducerName() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The name of the framework or tool used to generate this model.
- clearProducerVersion() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the framework or tool used to generate this model.
- clearProducerVersion() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the framework or tool used to generate this model.
- clearPtr() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Address of the allocation.
- clearPtr() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Address of the allocation.
- clearRawData() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
Serializations can either use one of the fields above, or use this
raw bytes field.
- clearRawData() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
Serializations can either use one of the fields above, or use this
raw bytes field.
- clearReferencedTensor() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- clearRemoteGraph() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Definition of remote graph
- clearRenameTo() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- clearRenameTo() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- clearRenameTo() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Use a different name in the API than the op's name.
- clearRequestedBytes() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Total number of bytes requested
- clearResourceHandleVal() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- clearRet() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- clearS() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
UTF-8 string
- clearS() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
UTF-8 string
- clearS() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"string"
- clearS() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(string)"
- clearSampleRate() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Sample rate of the audio in Hz.
- clearSaveSliceInfoDef() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Support for saving variables as slices of a larger variable.
- clearScheduledMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 scheduled_micros = 9;
- clearScomplexVal() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX64.
- clearSegment() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- clearSegment() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- clearSequenceType() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a sequence.
- clearSerializedExecutorParameters() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Parameters given to the executor
- clearShape() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- clearShape() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- clearShape() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"shape"
- clearShape() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- clearShape() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.TensorShapeProto shape = 3;
- clearShape() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
repeated int64 shape = 3;
- clearShape() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
repeated int64 shape = 2;
- clearShape() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
repeated int64 shape = 2;
- clearShape() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- clearShape() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Shape of the tensor.
- clearSignature() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
The definition of the function's name, arguments, return values,
attrs etc.
- clearSimpleValue() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
float simple_value = 2;
- clearSinceVersion() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
The version of the operator set that first introduced this
operator.
- clearSize() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
int64 size = 1;
- clearSize() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
Size of the tensor in that dimension.
- clearSkip() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Do not include this op in the generated API.
- clearSlot() - Method in class org.tensorflow.framework.NodeOutput.Builder
-
int32 slot = 1;
- clearSnapshotName() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the snapshot tensor.
- clearSocOpId() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
int32 soc_op_id = 4;
- clearStart() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
Start index of the slice, starting at 0.
- clearStatus() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
This field indicates whether the syntax, semantics, or presence
of this operator is in an experimental or stable stage.
- clearStepId() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Process-unique step id.
- clearStepId() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Process-unique step id.
- clearStepId() - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
Process-unique step id.
- clearStepId() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Process-unique step id.
- clearStepId() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Process-unique step id.
- clearStringData() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For strings.
- clearStringData() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For strings.
- clearStrings() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of UTF-8 strings
- clearStrings() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of UTF-8 strings
- clearStringVal() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_STRING
- clearSum() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double sum = 4;
- clearSummary() - Method in class org.tensorflow.framework.ApiDef.Builder
-
One-line human-readable description of what the Op does.
- clearSummary() - Method in class org.tensorflow.framework.OpDef.Builder
-
One-line human-readable description of what the Op does.
- clearSummaryDescription() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Longform readable description of the summary sequence.
- clearSumSquares() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double sum_squares = 5;
- clearT() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
tensor value
- clearT() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
tensor value
- clearTag() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Tag name for the data.
- clearTemporaryMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Temporary memory used by this node.
- clearTensor() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"tensor"
- clearTensor() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- clearTensor() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Allocated tensor details.
- clearTensor() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Output tensor details.
- clearTensor() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.TensorProto tensor = 8;
- clearTensorContent() - Method in class org.tensorflow.framework.TensorProto.Builder
-
Serialized raw tensor content from either Tensor::AsProtoTensorContent or
memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
- clearTensorDescription() - Method in class org.tensorflow.framework.NodeOutput.Builder
-
.tensorflow.TensorDescription tensor_description = 3;
- clearTensors() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- clearTensors() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- clearTensors() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- clearTensorShape() - Method in class org.tensorflow.framework.TensorProto.Builder
-
Shape of the tensor.
- clearTensorType() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a tensor.
- clearTensorType() - Method in class onnx.OnnxProto3.TypeProto.Builder
-
The type of a tensor.
- clearThreadId() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
uint32 thread_id = 10;
- clearTimelineLabel() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
string timeline_label = 8;
- clearTo() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
-
string to = 2;
- clearTotalBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
These are per-node allocator memory stats.
- clearType() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
The type field MUST be present for this version of the IR.
- clearType() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- clearType() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
The type field MUST be present for this version of the IR.
- clearType() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- clearType() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"type"
- clearType() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
- clearType() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- clearType() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- clearTypeAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "type"
- clearTypeHint() - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
Hint on how plugins should process the data in this series.
- clearTypeListAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- clearTypeName() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
string type_name = 3;
- clearTypeName() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Name of the type of objects being serialized.
- clearUint32Val() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT32
- clearUint64Data() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- clearUint64Data() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- clearUint64Val() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT64
- clearUnknownRank() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
If true, the number of dimensions in the shape is unknown.
- clearValue() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
string value = 2;
- clearValue() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- clearValue() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- clearValue() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
string value = 2;
- clearValue() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- clearValue() - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- clearValue() - Method in class org.tensorflow.framework.AttrValue.Builder
-
- clearValue() - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- clearValue() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- clearValue() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
.tensorflow.AttrValue value = 2;
- clearValueInfo() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- clearValueInfo() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- clearValueType() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- clearVariableName() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the variable tensor.
- clearVariantVal() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- clearVarOffset() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Offset of this variable into the full variable.
- clearVarShape() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of this variable.
- clearVersion() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
The version of the operator set being identified.
- clearVersion() - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
The version of the operator set being identified.
- clearVersion() - Method in class org.tensorflow.framework.GraphDef.Builder
-
Deprecated.
- clearVersion() - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
First GraphDef version at which the op is disallowed.
- clearVersion() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
A user-specified version string.
- clearVersionNumber() - Method in class org.tensorflow.framework.TensorProto.Builder
-
Version number.
- clearVersions() - Method in class org.tensorflow.framework.GraphDef.Builder
-
Compatibility versions of the graph.
- clearVisibility() - Method in class org.tensorflow.framework.ApiDef.Builder
-
.tensorflow.ApiDef.Visibility visibility = 2;
- clearWidth() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
int32 width = 2;
- clearWorkFinished() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
int64 work_finished = 2;
- clearWorkStarted() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
int64 work_started = 1;
- clipByNorm(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- clipByNorm(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- clipByNorm(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- ClipByNorm - Class in org.nd4j.linalg.api.ops.impl.transforms.clip
-
- ClipByNorm() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm
-
- ClipByNorm(SameDiff, SDVariable, double, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm
-
- clipByValue(SDVariable, double, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- clipByValue(SDVariable, double, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- clipByValue(String, SDVariable, double, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- ClipByValue - Class in org.nd4j.linalg.api.ops.impl.transforms.clip
-
- ClipByValue(INDArray[], INDArray[], double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue
-
- ClipByValue() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue
-
- ClipByValue(SameDiff, SDVariable, double, double, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue
-
- ClipByValue(SameDiff, SDVariable, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue
-
- clone() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
- clone() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
- clone() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
- clone() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
- clone() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
- clone() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
- clone() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
- clone() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
- clone() - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
- clone() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
- clone() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
- clone() - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
- clone() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
- clone() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- clone() - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- clone() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
- clone() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
- clone(Object, IDeepCloner, Map<Object, Object>) - Method in class org.nd4j.autodiff.util.cloner.DataBufferFastCloner
-
- clone(Object, IDeepCloner, Map<Object, Object>) - Method in class org.nd4j.autodiff.util.cloner.INDArrayFastCloner
-
- clone() - Method in class org.nd4j.linalg.compression.CompressionDescriptor
-
- clone() - Method in class org.nd4j.linalg.learning.config.AdaDelta
-
- clone() - Method in class org.nd4j.linalg.learning.config.AdaGrad
-
- clone() - Method in class org.nd4j.linalg.learning.config.Adam
-
- clone() - Method in class org.nd4j.linalg.learning.config.AdaMax
-
- clone() - Method in interface org.nd4j.linalg.learning.config.IUpdater
-
Clone the updater
- clone() - Method in class org.nd4j.linalg.learning.config.Nadam
-
- clone() - Method in class org.nd4j.linalg.learning.config.Nesterovs
-
- clone() - Method in class org.nd4j.linalg.learning.config.NoOp
-
- clone() - Method in class org.nd4j.linalg.learning.config.RmsProp
-
- clone() - Method in class org.nd4j.linalg.learning.config.Sgd
-
- clone() - Method in class org.nd4j.linalg.schedule.ExponentialSchedule
-
- clone() - Method in class org.nd4j.linalg.schedule.InverseSchedule
-
- clone() - Method in interface org.nd4j.linalg.schedule.ISchedule
-
- clone() - Method in class org.nd4j.linalg.schedule.MapSchedule
-
- clone() - Method in class org.nd4j.linalg.schedule.PolySchedule
-
- clone() - Method in class org.nd4j.linalg.schedule.SigmoidSchedule
-
- clone() - Method in class org.nd4j.linalg.schedule.StepSchedule
-
- clone() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
- clone() - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
- clone() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- clone() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
- clone() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
- clone() - Method in class org.tensorflow.framework.ApiDef.Builder
-
- clone() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- clone() - Method in class org.tensorflow.framework.ApiDefs.Builder
-
- clone() - Method in class org.tensorflow.framework.AttrValue.Builder
-
- clone() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
- clone() - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
- clone() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
- clone() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- clone() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- clone() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
- clone() - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
- clone() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
- clone() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- clone() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
- clone() - Method in class org.tensorflow.framework.GradientDef.Builder
-
- clone() - Method in class org.tensorflow.framework.GraphDef.Builder
-
- clone() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
- clone() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
- clone() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
- clone() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
- clone() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
- clone() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
-
- clone() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
- clone() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
-
- clone() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
- clone() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- clone() - Method in class org.tensorflow.framework.KernelDef.Builder
-
- clone() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- clone() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- clone() - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
- clone() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- clone() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- clone() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- clone() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
- clone() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- clone() - Method in class org.tensorflow.framework.NodeDef.Builder
-
- clone() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
- clone() - Method in class org.tensorflow.framework.NodeOutput.Builder
-
- clone() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
- clone() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
- clone() - Method in class org.tensorflow.framework.OpDef.Builder
-
- clone() - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
- clone() - Method in class org.tensorflow.framework.OpList.Builder
-
- clone() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
- clone() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- clone() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- clone() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
- clone() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- clone() - Method in class org.tensorflow.framework.StepStats.Builder
-
- clone() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
- clone() - Method in class org.tensorflow.framework.Summary.Builder
-
- clone() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
- clone() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- clone() - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
- clone() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
- clone() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- clone() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
- clone() - Method in class org.tensorflow.framework.TensorProto.Builder
-
- clone() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
- clone() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- clone() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
- clone() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- clone() - Method in class org.tensorflow.framework.VariableDef.Builder
-
- clone() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
- clone() - Method in class org.tensorflow.framework.VersionDef.Builder
-
- clone() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
- clone() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
- clone() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
- clone() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
-
- clone() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
- close() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- close() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
- close() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- codecs - Variable in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
- Col2Im - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
-
Col2Im operation.
- Col2Im(SameDiff, SDVariable[], INDArray[], INDArray[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im
-
- Col2Im() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im
-
- col2im(INDArray, int[], int[], int, int) - Static method in class org.nd4j.linalg.convolution.Convolution
-
- col2im(INDArray, int, int, int, int, int, int) - Static method in class org.nd4j.linalg.convolution.Convolution
-
Rearrange matrix
columns into blocks
- col2im(INDArray, INDArray, int, int, int, int, int, int, int, int) - Static method in class org.nd4j.linalg.convolution.Convolution
-
- col2im(INDArray, int[], int[], int, int) - Static method in class org.nd4j.linalg.convolution.OldConvolution
-
- col2im(INDArray, int, int, int, int, int, int) - Static method in class org.nd4j.linalg.convolution.OldConvolution
-
Rearrange matrix
columns into blocks
- collect(INDArray...) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
This method detaches off-heap memory from passed INDArray instances, and optionally stores them in cache for future reuse
PLEASE NOTE: Cache options depend on specific implementations
- collect(INDArray...) - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method detaches off-heap memory from passed INDArray instances, and optionally stores them in cache for future reuse
PLEASE NOTE: Cache options depend on specific implementations
- COLORSPACE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Image
-
- columns() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Number of columns (shape[1]), throws an exception when
called when not 2d
- columns - Variable in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- columns() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- columns() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the number of columns in this matrix (throws exception if not 2d)
- columnsPointers - Variable in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
- commit() - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
-
This method ensures all operations that supposed to be executed at this moment, are executed and finished.
- commit() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- commit() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method ensures all operations that supposed to be executed at this moment, are executed and finished.
- comparable - Variable in class org.nd4j.linalg.api.ops.impl.transforms.All
-
- comparable - Variable in class org.nd4j.linalg.api.ops.impl.transforms.And
-
- comparable - Variable in class org.nd4j.linalg.api.ops.impl.transforms.Not
-
- comparable - Variable in class org.nd4j.linalg.api.ops.impl.transforms.Or
-
- comparable - Variable in class org.nd4j.linalg.api.ops.impl.transforms.Xor
-
- ComparableAtomicLong - Class in org.nd4j.linalg.profiler.data.primitives
-
- ComparableAtomicLong() - Constructor for class org.nd4j.linalg.profiler.data.primitives.ComparableAtomicLong
-
- ComparableAtomicLong(long) - Constructor for class org.nd4j.linalg.profiler.data.primitives.ComparableAtomicLong
-
- compare - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex
-
- compare - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex
-
- compare(StackNode, StackNode) - Method in class org.nd4j.linalg.profiler.data.primitives.StackComparator
-
- CompareAndReplace - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
-
Element-wise Compare-and-Replace implementation as Op
Basically this op does the same as Compare-and-Set, but op.X is checked against Condition instead
- CompareAndReplace(SameDiff, SDVariable, SDVariable, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
-
- CompareAndReplace(SameDiff, SDVariable, SDVariable, boolean, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
-
- CompareAndReplace(SameDiff, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
-
- CompareAndReplace(SameDiff, SDVariable, SDVariable, Object[], double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
-
- CompareAndReplace(SameDiff, SDVariable, boolean, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
-
- CompareAndReplace(SameDiff, SDVariable, int[], boolean, Object[], double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
-
- CompareAndReplace(SameDiff, SDVariable, Object[], double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
-
- CompareAndReplace() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
-
- CompareAndReplace(INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
-
With this constructor, op will check each X element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise
PLEASE NOTE: X will be modified inplace.
- CompareAndReplace(INDArray, INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
-
With this constructor, op will check each X element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise
Pseudocode:
z[i] = condition(x[i]) ? y[i] : x[i];
- CompareAndSet - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
-
Element-wise Compare-and-set implementation as Op
Please check javadoc to specific constructors, for detail information.
- CompareAndSet(SameDiff, SDVariable, SDVariable, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
- CompareAndSet(SameDiff, SDVariable, SDVariable, boolean, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
- CompareAndSet(SameDiff, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
- CompareAndSet(SameDiff, SDVariable, SDVariable, Object[], double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
- CompareAndSet(SameDiff, SDVariable, boolean, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
- CompareAndSet(SameDiff, SDVariable, int[], boolean, Object[], double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
- CompareAndSet(SameDiff, SDVariable, Object[], double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
- CompareAndSet() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
- CompareAndSet(INDArray, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
- CompareAndSet(INDArray, double, double, double, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
- CompareAndSet(INDArray, double, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
With this constructor, op will check each X element against given Condition, and if condition met, element will be replaced with Set value
Pseudocode:
z[i] = condition(x[i]) ? set : x[i];
PLEASE NOTE: X will be modified inplace.
- CompareAndSet(INDArray, INDArray, double, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
With this constructor, op will check each X element against given Condition, and if condition met, element will be replaced with Set value
Pseudocode:
z[i] = condition(x[i]) ? set : x[i];
- CompareAndSet(INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
With this constructor, op will check each Y element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise
PLEASE NOTE: X will be modified inplace.
- CompareAndSet(INDArray, INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
With this constructor, op will check each Y element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise
Pseudocode:
z[i] = condition(y[i]) ? y[i] : x[i];
- CompareAndSet(INDArray, INDArray, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
This constructor is shortcut to epsEquals.
- CompareAndSet(INDArray, INDArray, double, double, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
This constructor is shortcut to epsEquals.
- compareTo(ComparableAtomicLong) - Method in class org.nd4j.linalg.profiler.data.primitives.ComparableAtomicLong
-
- compareTo(StackNode) - Method in class org.nd4j.linalg.profiler.data.primitives.StackNode
-
- compareTo(TimeSet) - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- COMPLEX128_VALUE - Static variable in enum onnx.OnnxMlProto3.TensorProto.DataType
-
complex with float64 real and imaginary components
- COMPLEX128_VALUE - Static variable in enum onnx.OnnxProto3.TensorProto.DataType
-
complex with float64 real and imaginary components
- COMPLEX64_VALUE - Static variable in enum onnx.OnnxMlProto3.TensorProto.DataType
-
complex with float32 real and imaginary components
- COMPLEX64_VALUE - Static variable in enum onnx.OnnxProto3.TensorProto.DataType
-
complex with float32 real and imaginary components
- complexFlatten(IComplexNDArray[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- complexFlatten(List<IComplexNDArray>) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- complexFlatten(List<IComplexNDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a long row vector of all of the given ndarrays
- complexFlatten(IComplexNDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a long row vector of all of the given ndarrays
- complexFlatten(List<IComplexNDArray>) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- complexFlatten(IComplexNDArray[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- complexLinSpace(int, int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Linspace with complex numbers
- ComplexNDArrayUtil - Class in org.nd4j.linalg.util
-
IComplexNDArray operations
- ComplexNDArrayUtil() - Constructor for class org.nd4j.linalg.util.ComplexNDArrayUtil
-
- complexNumber - Variable in class org.nd4j.linalg.indexing.conditions.BaseCondition
-
- complexNumbersFor(float[][]) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Create complex number where the
- complexNumbersFor(double[][]) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Create complex number where the
- complexNumbersFor(float[]) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Create complex number where the
- complexNumbersFor(double[]) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Create complex number where the
- complexOnes(int, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray
- complexOnes(int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray
- complexOnes(int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create an ndarray of ones
- complexOnes(int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray
- complexOnes(int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray
- complexOnes(int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndarray of ones
- complexOnes(int, int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray
- complexOnes(int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray
- complexOnes(int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndarray of ones
- complexRand(int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a random ndarray with the given shape using
the current time as the seed
- complexScalar(Number, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar ndarray with the specified offset
- complexScalar(Number) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar ndarray with the specified offset
- complexScalar(Number, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar ndarray with the specified offset
- complexScalar(Number) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar ndarray with the specified offset
- complexScalar(Number, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar ndarray with the specified offset
- complexScalar(Number) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar ndarray with the specified offset
- ComplexUtil - Class in org.nd4j.linalg.util
-
- complexValueOf(int[], IComplexNumber) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an shape ndarray with the specified value
- complexValueOf(int, double) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an 1 x num ndarray with the specified value
- complexValueOf(int[], double) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an shape ndarray with the specified value
- complexValueOf(int, IComplexNumber) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an 1 x num ndarray with the specified value
- complexValueOf(int, IComplexNumber) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- complexValueOf(int[], IComplexNumber) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- complexValueOf(int, double) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- complexValueOf(int[], double) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- complexValueOf(int, IComplexNumber) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an 1 x num ndarray with the specified value
- complexValueOf(int[], IComplexNumber) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an shape ndarray with the specified value
- complexValueOf(int, double) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an 1 x num ndarray with the specified value
- complexValueOf(int[], double) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an shape ndarray with the specified value
- complexZeros(int, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a matrix of zeros
- complexZeros(int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray
- complexZeros(int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create an ndarray of ones
- complexZeros(int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a matrix of zeros
- complexZeros(int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray
- complexZeros(int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndarray of ones
- complexZeros(int, int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a matrix of zeros
- complexZeros(int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray
- complexZeros(int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndarray of ones
- compress(DataBuffer) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Compress the given data buffer
given the default compression algorithm
- compress(DataBuffer, String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Compress the data buffer
given a specified algorithm
- compress(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
- compress(INDArray, String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Returns a compressed version of the
given ndarray
- compress(float[]) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
This method returns compressed INDArray instance which contains JVM array passed in
- compress(double[]) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
This method returns compressed INDArray instance which contains JVM array passed in
- compress(INDArray) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method returns compressed copy of referenced array
- compress(DataBuffer) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
- compress(float[]) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method creates compressed INDArray from Java float array, skipping usual INDArray instantiation routines
Please note: This method compresses input data as vector
- compress(double[]) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method creates compressed INDArray from Java double array, skipping usual INDArray instantiation routines
Please note: This method compresses input data as vector
- compress(float[], int[], char) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method creates compressed INDArray from Java float array, skipping usual INDArray instantiation routines
- compress(double[], int[], char) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method creates compressed INDArray from Java double array, skipping usual INDArray instantiation routines
- compressDebug - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- compressed - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- CompressedDataBuffer - Class in org.nd4j.linalg.compression
-
- CompressedDataBuffer(Pointer, CompressionDescriptor) - Constructor for class org.nd4j.linalg.compression.CompressedDataBuffer
-
- compressi(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
In place compression of the passed in ndarray
with the default compression algorithm
- compressi(INDArray, String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
In place Compress the given ndarray
with the given algorithm
- compressi(INDArray) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
Inplace compression of INDArray
- COMPRESSION_BYTE_BUFFER_LENGTH - Static variable in class org.nd4j.linalg.compression.CompressionDescriptor
-
- COMPRESSION_DEBUG - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- CompressionAlgorithm - Enum in org.nd4j.linalg.compression
-
Compression algorithm enum
- compressionDescriptor - Variable in class org.nd4j.linalg.compression.CompressedDataBuffer
-
- CompressionDescriptor - Class in org.nd4j.linalg.compression
-
A compression descriptor containing the
compression opType, compression algorithm,
original length, compressed length,
number of elements, and the original
element size
- CompressionDescriptor() - Constructor for class org.nd4j.linalg.compression.CompressionDescriptor
-
- CompressionDescriptor(DataBuffer) - Constructor for class org.nd4j.linalg.compression.CompressionDescriptor
-
Create a compression descriptor from the given
data buffer elements
- CompressionDescriptor(DataBuffer, String) - Constructor for class org.nd4j.linalg.compression.CompressionDescriptor
-
Initialize a compression descriptor
based on the given algorithm and data buffer
- CompressionDescriptor(DataBuffer, NDArrayCompressor) - Constructor for class org.nd4j.linalg.compression.CompressionDescriptor
-
Initialize a compression descriptor
based on the given data buffer (for the sizes)
and the compressor to get the opType
- CompressionType - Enum in org.nd4j.linalg.compression
-
- CompressionUtils - Class in org.nd4j.linalg.compression
-
This class provides utility methods for Compression in ND4J
- CompressionUtils() - Constructor for class org.nd4j.linalg.compression.CompressionUtils
-
- COMPUTE_COST_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node
-
- COMPUTE_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node
-
- computeAbsoluteStep(INDArray) - Static method in class org.nd4j.finitedifferences.TwoPointApproximation
-
- computeAbsoluteStep(INDArray, INDArray) - Static method in class org.nd4j.finitedifferences.TwoPointApproximation
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction
-
Compute the gradient of the loss function with respect to the inputs: dL/dOutput
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
This method returns the gradient of the cost function with respect to the
output from the previous layer.
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction
-
Compute both the score (loss function value) and gradient.
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction
-
Compute the score (loss function value) for the given inputs.
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
Computes the aggregate score as a sum of all of the individual scores of
each of the labels against each of the outputs of the network.
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction
-
Compute the score (loss function value) for each example individually.
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
This method returns the score for each of the given outputs against the
given set of labels.
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
-
- concat(int, SDVariable...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- concat(int, SDVariable...) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- concat(String, int, SDVariable...) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- Concat - Class in org.nd4j.linalg.api.ops.impl.shape
-
- Concat() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Concat
-
- Concat(SameDiff, int, SDVariable...) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Concat
-
- concat(int, INDArray...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
concatenate ndarrays along a dimension
- concat(int, IComplexNDArray...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
concatenate ndarrays along a dimension
- concat(int, INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Concatneate ndarrays along a dimension
- concat(int, IComplexNDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Concatneate ndarrays along a dimension
- concat(int, INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Concatneate ndarrays along a dimension
- concat(int, IComplexNDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Concatneate ndarrays along a dimension
- cond(Condition) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- cond(Condition) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
1 in an ndarray when condition is fulfilled,
0 otherwise(copying)(
- cond(Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- cond(Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- cond(Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
1 in the ndarray if the element matches
the condition 0 otherwise
- condi(Condition) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- condi(Condition) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
1 in an ndarray when condition is fulfilled,
0 otherwise(copying)(
- condi(Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- condi(Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- condi(Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In-place: 1 in the ndarray if the element matches the condition 0 otherwise
- condition - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex
-
- condition - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex
-
- Condition - Interface in org.nd4j.linalg.indexing.conditions
-
Condition for boolean indexing
- CONDITIONAL - Static variable in class org.nd4j.graph.OpClass
-
- ConditionalFieldValueIntIndexArrayAdapter - Class in org.nd4j.imports.descriptors.properties.adapters
-
- ConditionalFieldValueIntIndexArrayAdapter() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.ConditionalFieldValueIntIndexArrayAdapter
-
- ConditionalFieldValueNDArrayShapeAdapter - Class in org.nd4j.imports.descriptors.properties.adapters
-
- ConditionalFieldValueNDArrayShapeAdapter() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.ConditionalFieldValueNDArrayShapeAdapter
-
- ConditionBuilder - Class in org.nd4j.linalg.indexing.conditions
-
Mini dsl for building conditions
- ConditionBuilder() - Constructor for class org.nd4j.linalg.indexing.conditions.ConditionBuilder
-
- ConditionEquals - Class in org.nd4j.linalg.indexing.conditions
-
Returns true when all of the conditions equal each other
- ConditionEquals(Condition...) - Constructor for class org.nd4j.linalg.indexing.conditions.ConditionEquals
-
- Conditions - Class in org.nd4j.linalg.indexing.conditions
-
Static class for conditions
- Conditions() - Constructor for class org.nd4j.linalg.indexing.conditions.Conditions
-
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterOrEqualsThan
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessOrEqualsThan
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessThan
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.And
-
Returns condition ID for native side
- condtionNum() - Method in interface org.nd4j.linalg.indexing.conditions.Condition
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.ConditionEquals
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.EpsilonEquals
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.EqualsCondition
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.GreaterThan
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.IsInfinite
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.IsNaN
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.LessThan
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.LessThanOrEqual
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.Not
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.NotEqualsCondition
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.Or
-
Returns condition ID for native side
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.FullConv3D
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D
-
- config - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D
-
- configFieldName() - Method in class org.nd4j.autodiff.functions.DifferentialFunction
-
Returns the name of the field to be used for looking up field names.
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.FullConv3D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D
-
- configFieldName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D
-
- configuration() - Method in class org.nd4j.graph.FlatGraph
-
- configuration(FlatConfiguration) - Method in class org.nd4j.graph.FlatGraph
-
- configure(Object...) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method allows to pass compressor-dependent configuration options to this compressor
PLEASE NOTE: Each compressor has own options, please check corresponding implementations javadoc
- confusionMatrix(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- confusionMatrix(SDVariable, SDVariable, Integer) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- confusionMatrix(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- confusionMatrix(SDVariable, SDVariable, Integer, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- confusionMatrix(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- confusionMatrix(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- confusionMatrix(SDVariable, SDVariable, Integer) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- confusionMatrix(String, SDVariable, SDVariable, Integer) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- confusionMatrix(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- confusionMatrix(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- confusionMatrix(SDVariable, SDVariable, Integer, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- confusionMatrix(String, SDVariable, SDVariable, Integer, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- ConfusionMatrix - Class in org.nd4j.linalg.api.ops.impl.shape
-
- ConfusionMatrix() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix
-
- ConfusionMatrix(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix
-
- ConfusionMatrix(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix
-
- ConfusionMatrix(SameDiff, SDVariable, SDVariable, Integer) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix
-
- ConfusionMatrix(SameDiff, SDVariable, SDVariable, Integer, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix
-
- conj() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Compute complex conj.
- conj() - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Compute complex conj.
- conji() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Compute complex conj (in-place).
- conji() - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Compute complex conj (in-place).
- CONST_NODE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo
-
- Constant - Class in org.nd4j.linalg.api.ops.impl.transforms
-
- Constant() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Constant
-
- Constant(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Constant
-
- Constant(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Constant
-
- CONSTANT_PROVIDER - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- ConstantDistribution - Class in org.nd4j.linalg.api.rng.distribution.impl
-
This is not real distribution.
- ConstantDistribution(double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
- ConstantHandler - Interface in org.nd4j.linalg.cache
-
This interface describes
memory reuse strategy
for java-originated arrays.
- constantHandler - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- ConstantInitScheme - Class in org.nd4j.weightinit.impl
-
Initialize the weight to zero.
- ConstantInitScheme(char, double) - Constructor for class org.nd4j.weightinit.impl.ConstantInitScheme
-
- constantProviderClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- CONSTRAINT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.KernelDef
-
- consume(StackDescriptor, int) - Method in class org.nd4j.linalg.profiler.data.primitives.StackNode
-
- consume(StackDescriptor, int, long) - Method in class org.nd4j.linalg.profiler.data.primitives.StackNode
-
- consumeStackTrace(StackDescriptor) - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree
-
- consumeStackTrace(StackDescriptor, long) - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree
-
- container - Variable in class org.nd4j.list.BaseNDArrayList
-
- CONTAINER_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ResourceHandleProto
-
- contains(String) - Method in interface org.nd4j.linalg.dataset.api.iterator.cache.DataSetCache
-
- contains(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache
-
- contains(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache
-
- contains(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache
-
- contains(Object) - Method in class org.nd4j.list.BaseNDArrayList
-
- contains(Object) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
-
- contains(Object) - Method in class org.nd4j.list.NDArrayList
-
- containsAll(Collection<?>) - Method in class org.nd4j.list.BaseNDArrayList
-
- containsAll(Collection<?>) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
-
- containsAll(Collection<?>) - Method in class org.nd4j.list.NDArrayList
-
- containsAttr(String) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
Attributes specific to this function definition.
- containsAttr(String) - Method in class org.tensorflow.framework.FunctionDef
-
Attributes specific to this function definition.
- containsAttr(String) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
Attributes specific to this function definition.
- containsAttr(String) - Method in class org.tensorflow.framework.NameAttrList.Builder
-
map<string, .tensorflow.AttrValue> attr = 2;
- containsAttr(String) - Method in class org.tensorflow.framework.NameAttrList
-
map<string, .tensorflow.AttrValue> attr = 2;
- containsAttr(String) - Method in interface org.tensorflow.framework.NameAttrListOrBuilder
-
map<string, .tensorflow.AttrValue> attr = 2;
- containsAttr(String) - Method in class org.tensorflow.framework.NodeDef.Builder
-
Operation-specific graph-construction-time configuration.
- containsAttr(String) - Method in class org.tensorflow.framework.NodeDef
-
Operation-specific graph-construction-time configuration.
- containsAttr(String) - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
Operation-specific graph-construction-time configuration.
- containsKey(T) - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
This method checks, if storage contains specified key
- containsRet(String) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- containsRet(String) - Method in class org.tensorflow.framework.FunctionDef
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- containsRet(String) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- CONTENT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.SummaryMetadata.PluginData
-
- CONTENT_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Audio
-
- contentEquals(int[], DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Compare the contents of a buffer and
an array for equals
- contentEquals(int[], IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Compare the contents of a buffer and
an array for equals
- CONTROL_INPUT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node
-
- conv1d(SDVariable[], Conv1DConfig) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
Conv1d operation.
- conv1d(SDVariable[], Conv1DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Conv1d operation.
- conv1d(String, SDVariable[], Conv1DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Conv1d operation.
- Conv1D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
-
Conv2D operation
- Conv1D(SameDiff, SDVariable[], INDArray[], INDArray[], Conv1DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D
-
- Conv1DConfig - Class in org.nd4j.linalg.api.ops.impl.layers.convolution.config
-
- Conv1DConfig() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv1DConfig
-
- conv2d(SDVariable[], Conv2DConfig) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
Conv2d operation.
- conv2d(SDVariable[], Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Conv2d operation.
- conv2d(String, SDVariable[], Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Conv2d operation.
- Conv2D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
-
Conv2D operation
- Conv2D(SameDiff, SDVariable[], INDArray[], INDArray[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
-
- conv2d(INDArray, INDArray, Convolution.Type) - Method in class org.nd4j.linalg.convolution.BaseConvolution
-
2d convolution (aka the last 2 dimensions
- conv2d(IComplexNDArray, IComplexNDArray, Convolution.Type) - Method in class org.nd4j.linalg.convolution.BaseConvolution
-
- conv2d(INDArray, INDArray, Convolution.Type) - Static method in class org.nd4j.linalg.convolution.Convolution
-
2d convolution (aka the last 2 dimensions
- conv2d(IComplexNDArray, IComplexNDArray, Convolution.Type) - Static method in class org.nd4j.linalg.convolution.Convolution
-
- conv2d(INDArray, INDArray, Convolution.Type) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance
-
2d convolution (aka the last 2 dimensions
- conv2d(IComplexNDArray, IComplexNDArray, Convolution.Type) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance
-
- conv2DConfig - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im
-
- Conv2DConfig - Class in org.nd4j.linalg.api.ops.impl.layers.convolution.config
-
- Conv2DConfig() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv2DConfig
-
- conv2DConfig - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col
-
- Conv2DDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
-
Conv2DDerivative operation
- Conv2DDerivative(SameDiff, SDVariable[], INDArray[], INDArray[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2DDerivative
-
- Conv2DDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2DDerivative
-
- conv3d(SDVariable[], Conv3DConfig) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
Conv3d operation.
- conv3d(SDVariable[], Conv3DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Conv3d operation.
- conv3d(String, SDVariable[], Conv3DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Conv3d operation.
- Conv3D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
-
Conv3D operation
- Conv3D() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D
-
- Conv3D(SameDiff, SDVariable[], INDArray[], INDArray[], Conv3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D
-
- Conv3DConfig - Class in org.nd4j.linalg.api.ops.impl.layers.convolution.config
-
- Conv3DConfig() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv3DConfig
-
- Conv3DDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
-
Conv3DDerivative operation
- Conv3DDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3DDerivative
-
- Conv3DDerivative(SameDiff, SDVariable[], INDArray[], INDArray[], Conv3DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3DDerivative
-
- convertBackToFeatures(INDArray) - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
Take the data that has been transformed to the principal components about the mean and
transform it back into the original feature set.
- convertDataEx(DataBuffer.TypeEx, INDArray, DataBuffer.TypeEx) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- convertDataEx(DataBuffer.TypeEx, DataBuffer, DataBuffer.TypeEx) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- convertDataEx(DataBuffer.TypeEx, DataBuffer, DataBuffer.TypeEx, DataBuffer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- convertDataEx(DataBuffer.TypeEx, Pointer, DataBuffer.TypeEx, Pointer, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- convertFromApacheMatrix(RealMatrix) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- convertToApacheMatrix(INDArray) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- convertToComponents(INDArray) - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
Takes a set of data on each row, with the same number of features as the constructing data
and returns the data in the coordinates of the basis set about the mean.
- convertToDoubles() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- convertToDoubles() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- convertToDoubles() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- convertToFlatBuffers(SameDiff, ExecutorConfiguration) - Method in class org.nd4j.autodiff.execution.BasicGraphExecutioner
-
- convertToFlatBuffers(SameDiff, ExecutorConfiguration) - Method in interface org.nd4j.autodiff.execution.GraphExecutioner
-
This method converts given SameDiff instance to FlatBuffers representation
- convertToFloats() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- convertToFloats() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- convertToFloats() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- convertType(DataBuffer.Type) - Static method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- convn(INDArray, INDArray, Convolution.Type) - Method in class org.nd4j.linalg.convolution.BaseConvolution
-
ND Convolution
- convn(IComplexNDArray, IComplexNDArray, Convolution.Type) - Method in class org.nd4j.linalg.convolution.BaseConvolution
-
ND Convolution
- convn(INDArray, INDArray, Convolution.Type, int[]) - Static method in class org.nd4j.linalg.convolution.Convolution
-
ND Convolution
- convn(IComplexNDArray, IComplexNDArray, Convolution.Type, int[]) - Static method in class org.nd4j.linalg.convolution.Convolution
-
ND Convolution
- convn(INDArray, INDArray, Convolution.Type) - Static method in class org.nd4j.linalg.convolution.Convolution
-
ND Convolution
- convn(IComplexNDArray, IComplexNDArray, Convolution.Type) - Static method in class org.nd4j.linalg.convolution.Convolution
-
ND Convolution
- convn(INDArray, INDArray, Convolution.Type, int[]) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance
-
ND Convolution
- convn(IComplexNDArray, IComplexNDArray, Convolution.Type, int[]) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance
-
ND Convolution
- convn(INDArray, INDArray, Convolution.Type) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance
-
ND Convolution
- convn(IComplexNDArray, IComplexNDArray, Convolution.Type) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance
-
ND Convolution
- convn(IComplexNDArray, IComplexNDArray, Convolution.Type, int[]) - Method in class org.nd4j.linalg.convolution.DefaultConvolutionInstance
-
ND Convolution
- convn(INDArray, INDArray, Convolution.Type, int[]) - Method in class org.nd4j.linalg.convolution.DefaultConvolutionInstance
-
ND Convolution
- Convolution - Class in org.nd4j.linalg.convolution
-
Convolution is the
code for applying
the convolution operator.
- Convolution.Type - Enum in org.nd4j.linalg.convolution
-
- CONVOLUTION_INSTANCE - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- CONVOLUTION_OPS - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- ConvolutionInstance - Interface in org.nd4j.linalg.convolution
-
Convolution instance.
- convolutionInstanceClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- CoordinateFunction - Interface in org.nd4j.linalg.api.shape.loop.coordinatefunction
-
Coordinate function for handling
1 or more calls based on a set of coordinates
- copy(INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
swaps a vector with another vector.
- copy(int, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
copy a vector to another vector.
- copy(IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
copy a vector to another vector.
- copy(INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- copy(int, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- copy(IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- copy(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
copy a vector to another vector.
- copy(int, DataBuffer, int, int, DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.blas.Level1
-
copy a vector to another vector.
- copy(IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
- copy() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Create a copy of the DataSet
- copy() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Clone the dataset
- copy() - Method in class org.nd4j.linalg.dataset.DataSet
-
Clone the dataset
- copy() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
Clone the dataset
- copy(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- copy(IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- copy(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Copy a to b
- copy(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- copy(IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- copy(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute y <- x (copy a matrix)
- copy(IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- copy(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
-
Broadcast copy op.
- copy(INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Copy a to b
- copy(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Copy a to b
- COPY_OPS - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- copyFromReal(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- copyImagTo(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Copy imaginary numbers to the given
ndarray
- copyOnOps - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- CopyOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic
-
Copy operation
- CopyOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- CopyOp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- CopyOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- CopyOp(SameDiff, SDVariable, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- CopyOp(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- CopyOp(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- CopyOp(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- CopyOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- CopyOp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- CopyOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- CopyOp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- CopyOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- CopyOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- copyRealTo(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Copy real numbers to arr
- cOrFortranOrder(int[], int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Infer order from
- cos(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- cos(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- cos(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- Cos - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Cosine elementwise function
- Cos(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cos
-
- Cos(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cos
-
- Cos(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cos
-
- Cos() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cos
-
- Cos(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cos
-
- Cos(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cos
-
- Cos(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cos
-
- Cos(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cos
-
- cos(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- cos(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- cos(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Return the cos of a complex number
- cosh(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- cosh(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- cosh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- Cosh - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Cosine Hyperbolic elementwise function
- Cosh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cosh
-
- Cosh(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cosh
-
- Cosh(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cosh
-
- Cosh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cosh
-
- Cosh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cosh
-
- Cosh(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cosh
-
- Cosh(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cosh
-
- Cosh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cosh
-
- cosh(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- cosh(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- cosineDistance(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- cosineDistance(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- cosineDistance(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- CosineDistance - Class in org.nd4j.linalg.api.ops.impl.accum.distances
-
Cosine distance
Note that you need to initialize
a scaling constant equal to the norm2 of the
vector
- CosineDistance(SameDiff, SDVariable, int[], Number, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- CosineDistance(SameDiff, SDVariable, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- CosineDistance() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- CosineDistance(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- CosineDistance(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- CosineDistance(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- CosineDistance(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- CosineDistance(INDArray, INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- CosineDistance(INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- cosineDistance(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- cosineSim(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Cosine similarity
- cosineSimilarity(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- cosineSimilarity(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- cosineSimilarity(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- CosineSimilarity - Class in org.nd4j.linalg.api.ops.impl.accum.distances
-
Cosine similarity
Note that you need to initialize
a scaling constant equal to the norm2 of the
vector
- CosineSimilarity(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- CosineSimilarity(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- CosineSimilarity() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- CosineSimilarity(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- CosineSimilarity(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- CosineSimilarity(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- CosineSimilarity(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- CosineSimilarity(INDArray, INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- CosineSimilarity(INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- CostGraphDef - Class in org.tensorflow.framework
-
Protobuf type tensorflow.CostGraphDef
- CostGraphDef.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.CostGraphDef
- CostGraphDef.Node - Class in org.tensorflow.framework
-
Protobuf type tensorflow.CostGraphDef.Node
- CostGraphDef.Node.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.CostGraphDef.Node
- CostGraphDef.Node.InputInfo - Class in org.tensorflow.framework
-
Inputs of this node.
- CostGraphDef.Node.InputInfo.Builder - Class in org.tensorflow.framework
-
Inputs of this node.
- CostGraphDef.Node.InputInfoOrBuilder - Interface in org.tensorflow.framework
-
- CostGraphDef.Node.OutputInfo - Class in org.tensorflow.framework
-
Outputs of this node.
- CostGraphDef.Node.OutputInfo.Builder - Class in org.tensorflow.framework
-
Outputs of this node.
- CostGraphDef.Node.OutputInfoOrBuilder - Interface in org.tensorflow.framework
-
- CostGraphDef.NodeOrBuilder - Interface in org.tensorflow.framework
-
- CostGraphDefOrBuilder - Interface in org.tensorflow.framework
-
- CostGraphProtos - Class in org.tensorflow.framework
-
- counter - Variable in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- counter - Variable in class org.nd4j.linalg.profiler.data.primitives.StackNode
-
- countNNZ() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Count the number of value that are included in the ndarray (view) according to the sparse offsets and the shape
- countNonZero(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- countNonZero(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- countNonZero(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- CountNonZero - Class in org.nd4j.linalg.api.ops.impl.accum
-
Count the number of non-zero elements
- CountNonZero(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.CountNonZero
-
- CountNonZero(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.CountNonZero
-
- countZero(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- countZero(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- countZero(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- CountZero - Class in org.nd4j.linalg.api.ops.impl.accum
-
Count the number of zero elements
- CountZero(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.CountZero
-
- CountZero(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.CountZero
-
- covarianceMatrix(INDArray) - Static method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
Returns the covariance matrix of a data set of many records, each with N features.
- CPU_CORES_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- create(SameDiff) - Static method in class org.nd4j.autodiff.samediff.SameDiff
-
- create() - Static method in class org.nd4j.autodiff.samediff.SameDiff
-
- create(DataBuffer, int[], int[]) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(BaseNDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(int[]) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(int[], int[], long) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(DataBuffer, int[], int[], long, char) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(DataBuffer, int[], int[], long) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(int[], char) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(DataBuffer) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(int, int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(DataBuffer, int[], long) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(DataBuffer, int[], long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(DataBuffer, int[], int[], long, char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(DataBuffer, int[], int[], long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(int[], int[], long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(DataBuffer) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(int[], char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(DataBuffer, int[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(long) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
Create with length
- create(double[]) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
Create the data buffer
with respect to the given byte buffer
- create(float[]) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
Create the data buffer
with respect to the given byte buffer
- create(int[]) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
Create the data buffer
with respect to the given byte buffer
- create() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIteratorFactory
-
- create() - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIteratorFactory
-
- create(int[], DataBuffer.Type) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(int[], int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(int, int, char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(double[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a row vector with the data
- create(float[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a row vector with the data
- create(int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a row vector with the specified number of columns
- create(int[], int[], long, char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(float[], int[], char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(float[], int, int, int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(float[], int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(double[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create an ndrray with the specified shape
- create(float[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create an ndrray with the specified shape
- create(double[], int, int, int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(double[], int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(List<INDArray>, int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(int, int, int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(int, int, int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(int[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(int, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(float[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(float[], char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(float[], int[], int[], char, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(double[], char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(double[], int[], int[], char, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(DataBuffer, int[], int[], char, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(int[], int[], int[], char, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(int[], float[]...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndarray based on the given data
- create(int[], double[]...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndarray based on the given data
- create(float[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector with the data
- create(List<? extends Number>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector with the data
- create(double[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector with the data
- create(float[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(float[][], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(double[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndarray based on the given data layout
- create(double[][], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector with the specified number of columns
- create(float[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector with the data
- create(double[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector with the data
- create(int, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector with the specified number of columns
- create(float[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- create(double[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- create(double[], int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(float[], int, int, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(double[], int, int, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(float[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(double[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(float[], int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(List<INDArray>, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int, int, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int, int, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(float[], int[], int[], char, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(float[], int[], char, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(double[], int[], char, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer, int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer, int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(float[], int, int, int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int[], DataBuffer.Type) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(double[], int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(double[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- create(float[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- create(double[], int, int, int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(float[], int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(List<INDArray>, int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int, int, int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int, int, int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int, int, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(double[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(int[], DataBuffer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndarray with the given shape
and data
- create(double[][]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndarray with the given data layout
- create(double[][], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a row vector with the data
- create(float[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a row vector with the data
- create(DataBuffer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a row vector with the data
- create(int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a row vector with the specified number of columns
- create(DataBuffer, int, int, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(float[], int, int, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(double[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndrray with the specified shape
- create(float[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndrray with the specified shape
- create(double[], int, int, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(double[], int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(DataBuffer, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndrray with the specified shape
- create(DataBuffer, int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(List<INDArray>, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(int, int, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(int, int, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(int[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(int, int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(float[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[][]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[][], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(DataBuffer, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(DataBuffer, int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], int[], long, Character) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], int, int, int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(List<INDArray>, int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], int[], int[], char, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int, int, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], DataBuffer.Type) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], int[], int[], char, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(DataBuffer, int[], int[], char, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], int[], int[], char, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(INDArray) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Create from a matrix.
- create(int[], INDArray) - Method in class org.nd4j.weightinit.BaseWeightInitScheme
-
- create(int[]) - Method in class org.nd4j.weightinit.BaseWeightInitScheme
-
- create(int[], INDArray) - Method in class org.nd4j.weightinit.impl.NDArraySupplierInitScheme
-
- create(int[]) - Method in class org.nd4j.weightinit.impl.NDArraySupplierInitScheme
-
- create(int[], INDArray) - Method in interface org.nd4j.weightinit.WeightInitScheme
-
Create the array
- create(int[]) - Method in interface org.nd4j.weightinit.WeightInitScheme
-
Create the array
- createAccum(String, INDArray) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createAccum(String, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createAccum(String, INDArray, INDArray, INDArray, Object[]) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createAccum(String, INDArray, INDArray) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createAccum(String, INDArray) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
Accumulation operation
- createAccum(String, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
Accumulation operation
- createAccum(String, INDArray, INDArray, INDArray, Object[]) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createAccum(String, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createArrayFromShapeBuffer(DataBuffer, DataBuffer) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createArrayFromShapeBuffer(DataBuffer, Pair<DataBuffer, int[]>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createAVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatProperties
-
- createBinomial(int, INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createBinomial(int, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createBinomial(int, INDArray) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Create a distribution
- createBinomial(int, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Create a distribution
- createBlas() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create blas
- createBroadcastOp(String, INDArray, INDArray, INDArray, int...) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createBroadcastOp(String, INDArray, INDArray, INDArray, Object[], int...) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createBroadcastOp(String, INDArray, INDArray, int...) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createBroadcastOp(String, INDArray, INDArray, INDArray, int...) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
Create a vector operation
- createBroadcastOp(String, INDArray, INDArray, INDArray, Object[], int...) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createBroadcastOp(String, INDArray, INDArray, int...) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
Create a vector operation
- createBuffer(DataBuffer, long, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a view of a data buffer
that leverages the underlying storage of the buffer
with a new view
- createBuffer(int[], DataBuffer.Type, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer equal of length prod(shape)
- createBuffer(ByteBuffer, DataBuffer.Type, int, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a buffer of the specified opType
and length with the given byte buffer.
- createBuffer(byte[], int, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer based on the data opType
- createBuffer(int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer equal of length prod(shape)
- createBuffer(int, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a buffer of the specified length based on the data opType
- createBuffer(DoublePointer, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a double data opType buffer
of the specified length
- createBuffer(FloatPointer, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a float opType
data buffer of the given length
- createBuffer(IntPointer, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an int data buffer
from the given pointer
and the given length
- createBuffer(float[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer based on the data opType
- createBuffer(double[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer based on the data opType
- createBuffer(int[], DataBuffer.Type) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer equal of length prod(shape)
- createBuffer(ByteBuffer, DataBuffer.Type, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a buffer of the specified opType
and length with the given byte buffer.
- createBuffer(byte[], int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer based on the data opType
- createBuffer(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer equal of length prod(shape)
- createBuffer(long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a buffer of the specified length based on the data opType
- createBuffer(Pointer, DataBuffer.Type, long, Indexer) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a data buffer
based on a pointer
with the given opType and length
- createBuffer(long, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createBuffer(float[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer based on the data opType
- createBuffer(double[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer based on the data opType
- createBufferDetached(int[], DataBuffer.Type) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createBufferDetached(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer equal of length prod(shape).
- createBufferDetached(float[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createBufferDetached(double[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createBufferVector(FlatBufferBuilder, byte[]) - Static method in class org.nd4j.graph.FlatArray
-
- createComplex(int[], int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- createComplex(INDArray) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a complex ndarray from the passed in indarray
- createComplex(IComplexNumber[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a complex ndarray from the passed in indarray
- createComplex(List<IComplexNDArray>, int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a complex ndarray from the passed in indarray
- createComplex(double[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified data
- createComplex(int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray
- createComplex(int[], int[], long, char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- createComplex(float[], int, int, int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(float[], int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create an ndrray with the specified shape
- createComplex(float[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create an ndrray with the specified shape
- createComplex(double[], int[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create an ndrray with the specified shape
- createComplex(float[], int[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create an ndrray with the specified shape
- createComplex(double[], int, int, int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(int, int, int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(int, int, int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(int[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(int, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int[], int[], long, char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a complex ndarray with the given data
- createComplex(double[], int[], long, char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- createComplex(double[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- createComplex(float[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified data
- createComplex(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a complex ndarray from the passed in indarray
- createComplex(int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray
- createComplex(INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a complex ndarray based on the
real and imaginary
- createComplex(IComplexNumber[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a complex ndarray from the passed in indarray
- createComplex(List<IComplexNDArray>, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a complex ndarray from the passed in indarray
- createComplex(double[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified data
- createComplex(int, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray
- createComplex(IComplexNumber[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a complex ndarray from the passed in indarray
- createComplex(float[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- createComplex(double[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- createComplex(float[], int[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- createComplex(double[], int[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- createComplex(float[], int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(float[], int, int, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int, int, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int, int, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int, int, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(DataBuffer, int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(DataBuffer, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(DataBuffer, int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(DataBuffer, int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(DataBuffer, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(IComplexNumber[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a complex array from the given numbers
- createComplex(IComplexNumber[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a complex ndarray based on the specified matrices
- createComplex(float[], int, int, int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(float[], int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(float[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- createComplex(double[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- createComplex(float[], int[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- createComplex(double[], int[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- createComplex(double[], int, int, int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int, int, int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int, int, int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int, int, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(float[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create complex ndarray
- createComplex(double[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(double[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(double[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(float[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(int, int, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a complex ndarray from the passed in indarray
- createComplex(IComplexNumber[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a complex ndarray from the passed in indarray
- createComplex(List<IComplexNDArray>, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a complex ndarray from the passed in indarray
- createComplex(double[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified data
- createComplex(DataBuffer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified data
- createComplex(int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray
- createComplex(float[], int, int, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(DataBuffer, int, int, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(DataBuffer, int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(IComplexNumber[], int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(IComplexNumber[], int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(IComplexNumber[], int[], int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(IComplexNumber[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(IComplexNumber[], int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndrray with the specified shape
- createComplex(float[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndrray with the specified shape
- createComplex(double[], int[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndrray with the specified shape
- createComplex(float[], int[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndrray with the specified shape
- createComplex(double[], int, int, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(DataBuffer, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndrray with the specified shape
- createComplex(DataBuffer, int[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndrray with the specified shape
- createComplex(int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(int, int, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(int[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(int, int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a complex ndarray with the given data
- createComplex(double[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(DataBuffer, int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(double[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(DataBuffer, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(float[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(float[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(float[], int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(float[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(float[], int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(DataBuffer, int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(float[], Character) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(int[], int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplexNumber(Number, Number) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create double based on real and imaginary
- createConstant(double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createConstant(double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Creates constant distribution
- createCoveringShape(int[]) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Creates an index covering the given shape
(for each dimension 0,shape[i])
- CREATED - Static variable in interface org.nd4j.linalg.api.instrumentation.Instrumentation
-
- createDimensionsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode
-
- createDouble(double, double) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create an instance of a complex double
- createDouble(double, double) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an instance of a complex double
- createDouble(double, double) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an instance of a complex double
- createDVector(FlatBufferBuilder, double[]) - Static method in class org.nd4j.graph.FlatProperties
-
- createExtraIntegerVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode
-
- createExtraParamsVector(FlatBufferBuilder, float[]) - Static method in class org.nd4j.graph.FlatNode
-
- createFlatArray(FlatBufferBuilder, int, int, byte, byte) - Static method in class org.nd4j.graph.FlatArray
-
- createFlatConfiguration(FlatBufferBuilder, long, byte, byte, byte, boolean, long, long, byte) - Static method in class org.nd4j.graph.FlatConfiguration
-
- createFlatGraph(FlatBufferBuilder, long, int, int, int, int) - Static method in class org.nd4j.graph.FlatGraph
-
- createFlatNode(FlatBufferBuilder, int, int, byte, long, int, int, int, byte, int, int, int, int, int, float, int, int) - Static method in class org.nd4j.graph.FlatNode
-
- createFlatProperties(FlatBufferBuilder, int, int, int, int, int) - Static method in class org.nd4j.graph.FlatProperties
-
- createFlatResult(FlatBufferBuilder, long, int, int, long, long) - Static method in class org.nd4j.graph.FlatResult
-
- createFlatTiming(FlatBufferBuilder, int, int, int) - Static method in class org.nd4j.graph.FlatTiming
-
- createFlatVariable(FlatBufferBuilder, int, int, int, int, int) - Static method in class org.nd4j.graph.FlatVariable
-
- createFloat(float, float) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create float
- createFloat(float, float) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create double
- createFloat(float, float) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create float
- createFromFlatArray(FlatArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createFromNpyFile(File) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create from a given numpy file.
- createFromNpyFile(File) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create from a given numpy file.
- createFromNpyPointer(Pointer) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create from an in memory numpy pointer
- createFromNpyPointer(Pointer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create from an in memory numpy pointer
- createFromStartAndEnd(INDArray, INDArray) - Static method in class org.nd4j.linalg.indexing.Indices
-
Create an n dimensional index
based on the given interval indices.
- createFromStartAndEnd(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.indexing.Indices
-
Create indices representing intervals
along each dimension
- createGradientOp(String, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createGradientOp(String, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createIndexAccum(String, INDArray, INDArray, INDArray, Object[]) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createIndexAccum(String, INDArray) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createIndexAccum(String, INDArray, INDArray) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createIndexAccum(String, INDArray, INDArray, INDArray, Object[]) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createIndexAccum(String, INDArray) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createIndexAccum(String, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
Index accumulation operation
- createInputMatrix(int) - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
Creates a feature vector
- createInputPairedVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode
-
- createInputVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode
-
- createIntPair(FlatBufferBuilder, int, int) - Static method in class org.nd4j.graph.IntPair
-
- createIntTriple(FlatBufferBuilder, int, int, int) - Static method in class org.nd4j.graph.IntTriple
-
- createIVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatProperties
-
- createLapack() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create lapack
- createLevel1() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create level 1
- createLevel2() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create level 2
- createLevel3() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create level 3
- createLogNormal(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createLogNormal(double, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Creates a log-normal distribution
- createLongPair(FlatBufferBuilder, long, long) - Static method in class org.nd4j.graph.LongPair
-
- createLossFunction(String, INDArray, INDArray) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createLossFunction(String, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
Create a loss function with the given inputs and outputs
- createLVector(FlatBufferBuilder, long[]) - Static method in class org.nd4j.graph.FlatProperties
-
- createNodesVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatGraph
-
- createNormal(INDArray, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createNormal(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createNormal(INDArray, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Create a normal distribution
with the given mean and std
- createNormal(double, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Create a normal distribution
with the given mean and std
- createNpyFromInputStream(InputStream) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a numpy array based on the passed in
input stream
- createOrthogonal(double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createOrthogonal(double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Creates orthogonal distribution
- createOutputMatrix(int) - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- createOutputsVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatGraph
-
- createOutputVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode
-
- createOutputVector(int) - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
Creates an output label matrix
- createPropertiesVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatNode
-
- createScalar(double) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- createScalar(double) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- createScalarForIndex(int, boolean) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- createScalarForIndex(int, boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- createScalarTransform(String, INDArray, INDArray, double) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createScalarTransform(String, INDArray, double) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createScalarTransform(String, INDArray, Object[], double) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createScalarTransform(String, INDArray, INDArray, INDArray, double) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createScalarTransform(String, INDArray, INDArray, INDArray, Object[], double) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createScalarTransform(String, INDArray, INDArray, double) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createScalarTransform(String, INDArray, double) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createScalarTransform(String, INDArray, Object[], double) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createScalarTransform(String, INDArray, INDArray, INDArray, double) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createScalarTransform(String, INDArray, INDArray, INDArray, Object[], double) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createShape(String, INDArray, INDArray, Object[]) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createShape(String, INDArray, INDArray, Object[]) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createShapeInformation(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider
-
This method creates shapeInformation buffer, based on shape being passed in
- createShapeInformation(int[], char) - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider
-
This method creates shapeInformation buffer, based on shape & order being passed in
- createShapeInformation(int[], int[], long, int, char) - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider
-
- createShapeInformation(int[]) - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider
-
This method creates shapeInformation buffer, based on shape being passed in
- createShapeInformation(int[], char) - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider
-
This method creates shapeInformation buffer, based on shape & order being passed in
- createShapeInformation(int[], int[], long, int, char) - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider
-
This method creates shapeInformation buffer, based on detailed shape information being passed in
- createShapeInformation(int[], int[], long, int, char) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Creates the shape information buffer
given the shape,stride
- createShapeVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatArray
-
- createShapeVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatVariable
-
- createSparseCOO(double[], int[][], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createSparseCOO(float[], int[][], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createSparseCOO(DataBuffer, DataBuffer, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createSparseCOO(DataBuffer, DataBuffer, DataBuffer, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createSparseCOO(DataBuffer, DataBuffer, long[], int[], int[], int[], int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createSparseCOO(double[], int[][], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createSparseCOO(float[], int[][], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createSparseCOO(DataBuffer, DataBuffer, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createSparseCOO(DataBuffer, DataBuffer, DataBuffer, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createSparseCOO(DataBuffer, DataBuffer, long[], int[], int[], int, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createSparseCSR(double[], int[], int[], int[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createSparseCSR(float[], int[], int[], int[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createSparseCSR(DataBuffer, int[], int[], int[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createSparseCSR(double[], int[], int[], int[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createSparseCSR(float[], int[], int[], int[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createSparseCSR(DataBuffer, int[], int[], int[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createSparseInformation(int[], long[], int[], int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseInfoProvider
-
- createSparseInformation(int[], long[], int[], int) - Method in interface org.nd4j.linalg.api.ndarray.SparseInfoProvider
-
- createSparseInformation(int[], long[], int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- createStashIfNotExists(T) - Method in class org.nd4j.linalg.memory.stash.BasicStashManager
-
- createStashIfNotExists(T) - Method in interface org.nd4j.linalg.memory.stash.StashManager
-
- createSubset(int) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- createTimingVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatResult
-
- createTransform(String, INDArray, INDArray) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createTransform(String, INDArray) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createTransform(String, INDArray, Object[]) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createTransform(String, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createTransform(String, INDArray, INDArray, INDArray, Object[]) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createTransform(String, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createTransform(String, INDArray) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createTransform(String, INDArray, Object[]) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createTransform(String, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createTransform(String, INDArray, INDArray, INDArray, Object[]) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createTruncatedNormal(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createTruncatedNormal(double, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Creates truncated normal distribution
- createUniform(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createUniform(double, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Create a uniform distribution with the
given min and max
- createUninitialized(int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns uninitialized 2D array of rows x columns
PLEASE NOTE: memory of underlying array will be NOT initialized, and won't be set to 0.0
- createUninitialized(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an *uninitialized* ndarray with the specified shape and ordering.
NOTE: The underlying memory (DataBuffer) will not be initialized.
- createUninitialized(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an *uninitialized* ndarray with the specified shape and default ordering.
NOTE: The underlying memory (DataBuffer) will not be initialized.
- createUninitialized(int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates an *uninitialized* ndarray of specified length and default ordering.
- createUninitialized(int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createUninitializedDetached(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Cretes uninitialized INDArray detached from any (if any) workspace
- createUninitializedDetached(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Cretes uninitialized INDArray detached from any (if any) workspace
- createUninitializedDetached(int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Cretes uninitialized INDArray detached from any (if any) workspace
- createUninitializedDetached(int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Cretes uninitialized INDArray detached from any (if any) workspace
- createVariablesVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatGraph
-
- createVariablesVector(FlatBufferBuilder, int[]) - Static method in class org.nd4j.graph.FlatResult
-
- cross(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- cross(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- cross(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- Cross - Class in org.nd4j.linalg.api.ops.impl.shape
-
Pairwise cross-product of two tensors of the same shape.
- Cross() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Cross
-
- Cross(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Cross
-
- cscal(int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- csscal(int, float, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- cswap(int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- csymm(char, char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- csyr2k(char, char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- csyrk(char, char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- ctbmv(char, char, char, char, int, int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- ctbsv(char, char, char, char, int, int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- ctpmv(char, char, char, char, int, IComplexNDArray, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- ctpsv(char, char, char, char, int, IComplexNDArray, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- ctrmm(char, char, char, char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- ctrmv(char, char, char, char, int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- ctrsm(char, char, char, char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- ctrsv(char, char, char, char, int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- cube(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- cube(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- cube(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- Cube - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Cube (x^3) elementwise function
- Cube(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cube
-
- Cube(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cube
-
- Cube(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cube
-
- Cube() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cube
-
- Cube(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cube
-
- Cube(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cube
-
- Cube(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cube
-
- Cube(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cube
-
- Cube(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cube
-
- cubeDerivative(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- CubeDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient
-
Cube derivative, e.g.
- CubeDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative
-
- CubeDerivative(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative
-
- CubeDerivative(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative
-
- CubeDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative
-
- CubeDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative
-
- CubeDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative
-
- CubeDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative
-
- CubeDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative
-
- CUDA_DEVICE_INFORMATION_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- CUDA_DEVICE_MAJOR_VERSION_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- CUDA_DEVICE_MINOR_VERSION_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- CUDA_DEVICE_NAME_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- CUDA_FREE_MEMORY_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- CUDA_NUM_GPUS_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- CUDA_TOTAL_MEMORY_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- cumprod(SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- cumprod(SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- cumprod(String, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- CumProd - Class in org.nd4j.linalg.api.ops.impl.accum
-
- CumProd() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.CumProd
-
- CumProd(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.CumProd
-
- CumProd(SameDiff, SDVariable, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.CumProd
-
- cumsum(SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- cumsum(SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- cumsum(String, SDVariable, boolean, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- cumsum(int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Cumulative sum along a dimension (in place)
- cumsum(int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Cumulative sum along a dimension (in place)
- cumsum(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Cumulative sum along a dimension (in place)
- cumsum(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- cumsum(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the cumulative sum along a dimension.
- CumSum - Class in org.nd4j.linalg.api.ops.impl.accum
-
Cumulative sum operation, optionally along dimension.
- CumSum() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.CumSum
-
- CumSum(SameDiff, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.CumSum
-
- CumSum(SameDiff, SDVariable, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.CumSum
-
- cumsum(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- cumsum(IComplexNDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- cumsum(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- cumsum(IComplexNDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- cumsumi(int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Cumulative sum along a dimension
- cumsumi(int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Cumulative sum along a dimension
- cumsumi(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Cumulative sum along a dimension
- cumsumi(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- cumsumi(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the cumulative sum along a dimension.
- cumulativeProbability(double) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double, double) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
- cumulativeProbability(int) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
- cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
- cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
- cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
- cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
- cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
- cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
- cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
- cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
- curr - Variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- current() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
-
Return the current index
without incrementing the counter
- current() - Method in class org.nd4j.linalg.indexing.IntervalIndex
-
- current() - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- current() - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
-
- current() - Method in class org.nd4j.linalg.indexing.NewAxis
-
- current() - Method in class org.nd4j.linalg.indexing.PointIndex
-
- current() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- CURRENT_WORK_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ReaderBaseState
-
- currentMomentum(int, int) - Method in class org.nd4j.linalg.learning.config.Nesterovs
-
- currentSize - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- cursor() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
The current cursor if applicable
- cursor - Variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- cursor() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher
-
Direct access to a number represenative of iterating through a dataset
- cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
cursor value of zero indicates no iterations and the very first fold will be held out as test
cursor value of 1 indicates the the next() call will return all but second fold which will be held out as test
curson value of k-1 indicates the next() call will return all but the last fold which will be held out as test
- cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
The current cursor if applicable
- cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- cursor() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- cursor() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- cursor() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- CUSTOM - Static variable in class org.nd4j.graph.OpType
-
- CustomOp - Interface in org.nd4j.linalg.api.ops
-
This interface describe "custom operations.
- CustomOpDescriptor - Class in org.nd4j.linalg.api.ops
-
This class is simple POJO that contains basic information about CustomOp
- CustomOpDescriptor() - Constructor for class org.nd4j.linalg.api.ops.CustomOpDescriptor
-
- CustomSerializerStrategy<T extends Normalizer> - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer
-
Base class for custom normalizer serializers
- CustomSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.CustomSerializerStrategy
-
- cycleAllocations - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- cyclesCount - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- G_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.AttributeProto
-
- G_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.AttributeProto
-
- GarbageWorkspaceReference(MemoryWorkspace, ReferenceQueue<? super MemoryWorkspace>) - Constructor for class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace.GarbageWorkspaceReference
-
- gather(SDVariable, int, int[]) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gather(SDVariable, int, int[]) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- gather(String, SDVariable, int, int[]) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- Gather - Class in org.nd4j.linalg.api.ops.impl.shape
-
Gather op
- Gather(SameDiff, SDVariable, int, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Gather
-
- Gather(SameDiff, SDVariable, SDVariable, int, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Gather
-
- gatherNd(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gatherNd(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- gatherNd(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- GatherNd - Class in org.nd4j.linalg.api.ops.impl.shape
-
GatherND op
- GatherNd(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.GatherNd
-
- GaussianDistribution - Class in org.nd4j.linalg.api.ops.random.impl
-
This Op generates normal distribution over provided mean and stddev
- GaussianDistribution() - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
-
- GaussianDistribution(INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
-
This op fills Z with random values within stddev..mean..stddev boundaries
- GaussianDistribution(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
-
- GaussianDistribution(INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
-
This op fills Z with random values within -1.0..0..1.0
- GaussianDistribution(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
-
This op fills Z with random values within stddev..0..stddev
- gaussians(int) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity.Builder
-
Specifies the number of gaussian functions to attempt
fitting against the data.
- gbmv(char, char, int, int, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
gbmv computes a matrix-vector product using a general band matrix and performs one of the following matrix-vector operations:
y := alpha*a*x + beta*y for trans = 'N'or'n';
y := alpha*a'*x + beta*y for trans = 'T'or't';
y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.
- gbmv(char, char, int, int, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
gbmv computes a matrix-vector product using a general band matrix and performs one of the following matrix-vector operations:
y := alpha*a*x + beta*y for trans = 'N'or'n';
y := alpha*a'*x + beta*y for trans = 'T'or't';
y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.
- gbmv(char, char, int, int, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- gbmv(char, char, int, int, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- gbmv(char, char, int, int, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
gbmv computes a matrix-vector product using a general band matrix and performs one of the following matrix-vector operations:
y := alpha*a*x + beta*y for trans = 'N'or'n';
y := alpha*a'*x + beta*y for trans = 'T'or't';
y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.
- gbmv(char, char, int, int, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
gbmv computes a matrix-vector product using a general band matrix and performs one of the following matrix-vector operations:
y := alpha*a*x + beta*y for trans = 'N'or'n';
y := alpha*a'*x + beta*y for trans = 'T'or't';
y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.
- geev(char, char, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- geev(char, char, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- geev(char, char, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- gelsd(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gelsd(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- gelsd(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Generalized Least Squares via *GELSD.
- gemm(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
gemm performs a matrix-matrix operation
c := alpha*op(a)*op(b) + beta*c,
where c is an m-by-n matrix,
op(a) is an m-by-k matrix,
op(b) is a k-by-n matrix.
- gemm(INDArray, INDArray, INDArray, boolean, boolean, double, double) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
A convenience method for matrix-matrix operations with transposes.
- gemm(char, char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
gemm performs a matrix-matrix operation
c := alpha*op(a)*op(b) + beta*c,
where c is an m-by-n matrix,
op(a) is an m-by-k matrix,
op(b) is a k-by-n matrix.
- gemm(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel3
-
- gemm(INDArray, INDArray, INDArray, boolean, boolean, double, double) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel3
-
- gemm(char, char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel3
-
- gemm(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
-
gemm performs a matrix-matrix operation
c := alpha*op(a)*op(b) + beta*c,
where c is an m-by-n matrix,
op(a) is an m-by-k matrix,
op(b) is a k-by-n matrix.
- gemm(INDArray, INDArray, INDArray, boolean, boolean, double, double) - Method in interface org.nd4j.linalg.api.blas.Level3
-
A convenience method for matrix-matrix operations with transposes.
- gemm(char, char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
-
gemm performs a matrix-matrix operation
c := alpha*op(a)*op(b) + beta*c,
where c is an m-by-n matrix,
op(a) is an m-by-k matrix,
op(b) is a k-by-n matrix.
- gemm(double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemm(float, INDArray, INDArray, float, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemm(IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemm(double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- gemm(float, INDArray, INDArray, float, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- gemm(IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- gemm(double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- gemm(float, INDArray, INDArray, float, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- gemm(IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- gemm(INDArray, INDArray, boolean, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
matrix multiply: implements op(a)*op(b)
where op(x) means transpose x (or not) depending on
setting of arguments transposea and transposeb.
so gemm(a,b,false,false) == a.mmul(b), gemm(a,b,true,false) == a.transpose().mmul(b) etc.
- gemm(INDArray, INDArray, INDArray, boolean, boolean, double, double) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Matrix multiply: Implements c = alpha*op(a)*op(b) + beta*c where op(X) means transpose X (or not)
depending on setting of arguments transposeA and transposeB.
Note that matrix c MUST be fortran order, have zero offset and have c.data().length == c.length().
- GemmParams - Class in org.nd4j.linalg.api.blas.params
-
Used for setting the gemm parameters
Separates blas logic from
the run time itself.
- GemmParams(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.blas.params.GemmParams
-
- GemmParams(INDArray, INDArray, INDArray, boolean, boolean) - Constructor for class org.nd4j.linalg.api.blas.params.GemmParams
-
- gemv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
gemv computes a matrix-vector product using a general matrix and performs one of the following matrix-vector operations:
y := alpha*a*x + beta*y for trans = 'N'or'n';
y := alpha*a'*x + beta*y for trans = 'T'or't';
y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.
- gemv(char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
gemv computes a matrix-vector product using a general matrix and performs one of the following matrix-vector operations:
y := alpha*a*x + beta*y for trans = 'N'or'n';
y := alpha*a'*x + beta*y for trans = 'T'or't';
y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.
- gemv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- gemv(char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- gemv(char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
gemv computes a matrix-vector product using a general matrix and performs one of the following matrix-vector operations:
y := alpha*a*x + beta*y for trans = 'N'or'n';
y := alpha*a'*x + beta*y for trans = 'T'or't';
y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.
- gemv(char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
gemv computes a matrix-vector product using a general matrix and performs one of the following matrix-vector operations:
y := alpha*a*x + beta*y for trans = 'N'or'n';
y := alpha*a'*x + beta*y for trans = 'T'or't';
y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.
- gemv(Number, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemv(IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemv(double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemv(float, INDArray, INDArray, float, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemv(IComplexDouble, IComplexNDArray, IComplexNDArray, IComplexDouble, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemv(IComplexFloat, IComplexNDArray, IComplexNDArray, IComplexFloat, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemv(Number, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- gemv(double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- gemv(float, INDArray, INDArray, float, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- gemv(IComplexDouble, IComplexNDArray, IComplexNDArray, IComplexDouble, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- gemv(IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- gemv(IComplexFloat, IComplexNDArray, IComplexNDArray, IComplexFloat, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- gemv(Number, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
************************************************************************
BLAS Level 2
- gemv(double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- gemv(float, INDArray, INDArray, float, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- gemv(IComplexDouble, IComplexNDArray, IComplexNDArray, IComplexDouble, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- gemv(IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- gemv(IComplexFloat, IComplexNDArray, IComplexNDArray, IComplexFloat, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- GemvParameters - Class in org.nd4j.linalg.api.blas.params
-
Gemv parameters:
The parameters for general matrix
vector operations
- GemvParameters(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.blas.params.GemvParameters
-
- generateGaussianSamples(int) - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
Generates a set of count random samples with the same variance and mean and eigenvector/values
as the data set used to initialize the PCA object, with same number of features N.
- generateNewVarName(String, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Generate a new variable name
based on the uniqueness
of thebase name and arg index
- generateOutputVariableForOp(DifferentialFunction, String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Generate the variables based on the given input op
and return the output variable names.
- generateOutputVariableForOp(DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Generate the variables based on the given input op
and return the output variable names.
- generationId - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- generator() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- geqrf(INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- geqrf(INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLapack
-
- geqrf(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
QR decomposiiton of a matrix
Factorize a matrix A such that A = QR
The matrix A is overwritten by the Q component (i.e.
- geqrf(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- geqrf(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- geqrf(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- ger(char, double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
performs a rank-1 update of a general m-by-n matrix a:
a := alpha*x*y' + a.
- ger(char, double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- ger(char, double, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
performs a rank-1 update of a general m-by-n matrix a:
a := alpha*x*y' + a.
- ger(Number, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- ger(double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- ger(float, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- ger(Number, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- ger(double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- ger(float, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- ger(Number, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- ger(double, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- ger(float, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute A <- alpha * x * y^T + A (general rank-1 update)
- gerc(IComplexFloat, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gerc(IComplexDouble, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gerc(IComplexFloat, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- gerc(IComplexDouble, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- gerc(IComplexFloat, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- gerc(IComplexDouble, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- geru(char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
performs a rank-1 update of a general m-by-n matrix a, without conjugation:
a := alpha*x*y' + a.
- geru(char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- geru(char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
performs a rank-1 update of a general m-by-n matrix a, without conjugation:
a := alpha*x*y' + a.
- geru(IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- geru(IComplexDouble, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- geru(IComplexFloat, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- geru(IComplexDouble, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- geru(IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- geru(IComplexFloat, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- geru(IComplexDouble, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- geru(IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute A <- alpha * x * y^T + A (general rank-1 update)
- geru(IComplexFloat, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- gesv(INDArray, int[], INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gesv(INDArray, int[], INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- gesv(INDArray, int[], INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
************************************************************************
LAPACK
- gesvd(INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- gesvd(INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLapack
-
- gesvd(INDArray, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
SVD decomposiiton of a matrix
Factorize a matrix into its singular vectors and eigenvalues
The decomposition is such that:
A = U x S x VT
gesvd = singular value decomposition (SVD) of a general matrix (GE)
- get(INDArrayIndex...) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Returns a subset of this array based on the specified
indexes
- get(INDArrayIndex...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns a subset of this array based on the specified
indexes
- get(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- get(List<List<Integer>>) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- get(INDArrayIndex...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns a subset of this array based on the specified
indexes
- get(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- get(List<List<Integer>>) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- get(INDArrayIndex...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- get(INDArrayIndex...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Returns a subset of this array based on the specified
indexes
- get(INDArrayIndex...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
Returns a subset of this array based on the specified
indexes
- get(INDArrayIndex...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns a subset of this array based on the specified
indexes
- get(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get the elements from this ndarray based on the specified indices
- get(List<List<Integer>>) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get the elements from this ndarray based on the specified indices
- get(T) - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
Get object from the storage, by key
- get(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- get(int[]) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- get(String) - Method in interface org.nd4j.linalg.dataset.api.iterator.cache.DataSetCache
-
- get(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache
-
- get(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache
-
- get(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache
-
- get(int) - Method in class org.nd4j.linalg.dataset.DataSet
-
Gets a copy of example i
- get(int[]) - Method in class org.nd4j.linalg.dataset.DataSet
-
Gets a copy of example i
- get(T) - Method in class org.nd4j.linalg.memory.stash.BasicStash
-
- get(T) - Method in interface org.nd4j.linalg.memory.stash.Stash
-
- get() - Method in class org.nd4j.linalg.util.AtomicThrowable
-
This method returns current state
- get() - Method in class org.nd4j.linalg.util.DeviceLocal
-
This method returns object local to current deviceId
- get(int) - Method in class org.nd4j.linalg.util.DeviceLocal
-
This method returns object local to target device
- get(int) - Method in class org.nd4j.list.BaseNDArrayList
-
- get(int) - Method in class org.nd4j.list.FloatNDArrayList
-
- get(int) - Method in class org.nd4j.list.IntNDArrayList
-
- get(int) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
-
- get(int) - Method in class org.nd4j.list.NDArrayList
-
- get1DTensorStats(INDArray, int...) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
Tensor1DStats, used to efficiently iterate through tensors on a matrix (2d NDArray) for element-wise ops
For example, the offset of each 1d tensor can be calculated using only a single tensorAlongDimension method call,
hence is potentially faster than approaches requiring multiple tensorAlongDimension calls.
Note that this can only (generally) be used for 2d NDArrays.
- get3dPermutedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get3dReshapedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get3dSubArraysWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get3dTensorAlongDimensionWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get4dPermutedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get4dReshapedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get4dSubArraysWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get4dTensorAlongDimensionWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get5dPermutedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get5dReshapedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get5dSubArraysWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get5dTensorAlongDimensionWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get6dPermutedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get6dReshapedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get6dSubArraysWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getActivation(INDArray, boolean) - Method in interface org.nd4j.linalg.activations.IActivation
-
Carry out activation function on the input array (usually known as 'preOut' or 'z')
Implementations must overwrite "in", transform in place and return "in"
Can support separate behaviour during test
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationCube
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationELU
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationHardSigmoid
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationHardTanH
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationIdentity
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationLReLU
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationRationalTanh
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationRectifiedTanh
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationReLU
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationRReLU
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSELU
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSigmoid
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSoftmax
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSoftPlus
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSoftSign
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSwish
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationTanH
-
- getActivationFunction() - Method in enum org.nd4j.linalg.activations.Activation
-
Creates an instance of the activation function
- getActiveBranch(String) - Method in class org.nd4j.autodiff.samediff.flow.FlowPath
-
This method returns active branch of specific node (if any)
- getActiveLocation(INDArray) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method returns last-updated location for the given INDArray
- getActiveLocation(INDArray) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- getAffinityManager() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getAlias(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Create *additional* API endpoints with different names (contrast
with rename_to, which affects the original name).
- getAlias(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
Create *additional* API endpoints with different names (contrast
with rename_to, which affects the original name).
- getAlias(int) - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
Create *additional* API endpoints with different names (contrast
with rename_to, which affects the original name).
- getAliasBytes(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Create *additional* API endpoints with different names (contrast
with rename_to, which affects the original name).
- getAliasBytes(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
Create *additional* API endpoints with different names (contrast
with rename_to, which affects the original name).
- getAliasBytes(int) - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
Create *additional* API endpoints with different names (contrast
with rename_to, which affects the original name).
- getAliasCount() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Create *additional* API endpoints with different names (contrast
with rename_to, which affects the original name).
- getAliasCount() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
Create *additional* API endpoints with different names (contrast
with rename_to, which affects the original name).
- getAliasCount() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
Create *additional* API endpoints with different names (contrast
with rename_to, which affects the original name).
- getAliasInputPort() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
If >= 0, the output is an alias of an input.
- getAliasInputPort() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
If >= 0, the output is an alias of an input.
- getAliasInputPort() - Method in interface org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder
-
If >= 0, the output is an alias of an input.
- getAliasList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Create *additional* API endpoints with different names (contrast
with rename_to, which affects the original name).
- getAliasList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
Create *additional* API endpoints with different names (contrast
with rename_to, which affects the original name).
- getAliasList() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
Create *additional* API endpoints with different names (contrast
with rename_to, which affects the original name).
- getAll3dTestArraysWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getAll4dTestArraysWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getAll5dTestArraysWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getAll6dTestArraysWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getAllEndRelMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 all_end_rel_micros = 5;
- getAllEndRelMicros() - Method in class org.tensorflow.framework.NodeExecStats
-
int64 all_end_rel_micros = 5;
- getAllEndRelMicros() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
int64 all_end_rel_micros = 5;
- getAllocatedBytes() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Total number of bytes allocated if known
- getAllocatedBytes() - Method in class org.tensorflow.framework.AllocationDescription
-
Total number of bytes allocated if known
- getAllocatedBytes() - Method in interface org.tensorflow.framework.AllocationDescriptionOrBuilder
-
Total number of bytes allocated if known
- getAllocationDescription() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Information about the size and allocator used for the data
- getAllocationDescription() - Method in class org.tensorflow.framework.TensorDescription
-
Information about the size and allocator used for the data
- getAllocationDescription() - Method in interface org.tensorflow.framework.TensorDescriptionOrBuilder
-
Information about the size and allocator used for the data
- getAllocationDescriptionBuilder() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Information about the size and allocator used for the data
- getAllocationDescriptionOrBuilder() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Information about the size and allocator used for the data
- getAllocationDescriptionOrBuilder() - Method in class org.tensorflow.framework.TensorDescription
-
Information about the size and allocator used for the data
- getAllocationDescriptionOrBuilder() - Method in interface org.tensorflow.framework.TensorDescriptionOrBuilder
-
Information about the size and allocator used for the data
- getAllocationId() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Identifier of the allocated buffer if known
- getAllocationId() - Method in class org.tensorflow.framework.AllocationDescription
-
Identifier of the allocated buffer if known
- getAllocationId() - Method in interface org.tensorflow.framework.AllocationDescriptionOrBuilder
-
Identifier of the allocated buffer if known
- getAllocationId() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Id of the tensor buffer being allocated, used to match to a
corresponding deallocation.
- getAllocationId() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
Id of the tensor buffer being allocated, used to match to a
corresponding deallocation.
- getAllocationId() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Id of the tensor buffer being allocated, used to match to a
corresponding deallocation.
- getAllocationId() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- getAllocationId() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- getAllocationId() - Method in interface org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- getAllocationId() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- getAllocationId() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- getAllocationId() - Method in interface org.tensorflow.framework.MemoryLogTensorDeallocationOrBuilder
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- getAllocationRecords(int) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- getAllocationRecords(int) - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
The allocation and deallocation timeline.
- getAllocationRecords(int) - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
The allocation and deallocation timeline.
- getAllocationRecordsBuilder(int) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- getAllocationRecordsBuilderList() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- getAllocationRecordsCount() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- getAllocationRecordsCount() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
The allocation and deallocation timeline.
- getAllocationRecordsCount() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
The allocation and deallocation timeline.
- getAllocationRecordsList() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- getAllocationRecordsList() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
The allocation and deallocation timeline.
- getAllocationRecordsList() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
The allocation and deallocation timeline.
- getAllocationRecordsOrBuilder(int) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- getAllocationRecordsOrBuilder(int) - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
The allocation and deallocation timeline.
- getAllocationRecordsOrBuilder(int) - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
The allocation and deallocation timeline.
- getAllocationRecordsOrBuilderList() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- getAllocationRecordsOrBuilderList() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
The allocation and deallocation timeline.
- getAllocationRecordsOrBuilderList() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
The allocation and deallocation timeline.
- getAllocatorBytesInUse() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
These are snapshots of the overall allocator memory stats.
- getAllocatorBytesInUse() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
These are snapshots of the overall allocator memory stats.
- getAllocatorBytesInUse() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
These are snapshots of the overall allocator memory stats.
- getAllocatorName() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Name of the allocator used
- getAllocatorName() - Method in class org.tensorflow.framework.AllocationDescription
-
Name of the allocator used
- getAllocatorName() - Method in interface org.tensorflow.framework.AllocationDescriptionOrBuilder
-
Name of the allocator used
- getAllocatorName() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
string allocator_name = 1;
- getAllocatorName() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
string allocator_name = 1;
- getAllocatorName() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
string allocator_name = 1;
- getAllocatorName() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the allocator used.
- getAllocatorName() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
Name of the allocator used.
- getAllocatorName() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Name of the allocator used.
- getAllocatorName() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the allocator used.
- getAllocatorName() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
Name of the allocator used.
- getAllocatorName() - Method in interface org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder
-
Name of the allocator used.
- getAllocatorName() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
Name of the allocator used.
- getAllocatorName() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation
-
Name of the allocator used.
- getAllocatorName() - Method in interface org.tensorflow.framework.MemoryLogTensorDeallocationOrBuilder
-
Name of the allocator used.
- getAllocatorNameBytes() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Name of the allocator used
- getAllocatorNameBytes() - Method in class org.tensorflow.framework.AllocationDescription
-
Name of the allocator used
- getAllocatorNameBytes() - Method in interface org.tensorflow.framework.AllocationDescriptionOrBuilder
-
Name of the allocator used
- getAllocatorNameBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
string allocator_name = 1;
- getAllocatorNameBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
string allocator_name = 1;
- getAllocatorNameBytes() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
string allocator_name = 1;
- getAllocatorNameBytes() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the allocator used.
- getAllocatorNameBytes() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
Name of the allocator used.
- getAllocatorNameBytes() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Name of the allocator used.
- getAllocatorNameBytes() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the allocator used.
- getAllocatorNameBytes() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
Name of the allocator used.
- getAllocatorNameBytes() - Method in interface org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder
-
Name of the allocator used.
- getAllocatorNameBytes() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
Name of the allocator used.
- getAllocatorNameBytes() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation
-
Name of the allocator used.
- getAllocatorNameBytes() - Method in interface org.tensorflow.framework.MemoryLogTensorDeallocationOrBuilder
-
Name of the allocator used.
- getAllocBytes() - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
Number of bytes allocated, or de-allocated if negative.
- getAllocBytes() - Method in class org.tensorflow.framework.AllocationRecord
-
Number of bytes allocated, or de-allocated if negative.
- getAllocBytes() - Method in interface org.tensorflow.framework.AllocationRecordOrBuilder
-
Number of bytes allocated, or de-allocated if negative.
- getAllocMicros() - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
The timestamp of the operation.
- getAllocMicros() - Method in class org.tensorflow.framework.AllocationRecord
-
The timestamp of the operation.
- getAllocMicros() - Method in interface org.tensorflow.framework.AllocationRecordOrBuilder
-
The timestamp of the operation.
- getAllowedValues() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
A list of values that this kernel supports for this attr.
- getAllowedValues() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint
-
A list of values that this kernel supports for this attr.
- getAllowedValues() - Method in interface org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder
-
A list of values that this kernel supports for this attr.
- getAllowedValues() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
The set of allowed values.
- getAllowedValues() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
The set of allowed values.
- getAllowedValues() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
The set of allowed values.
- getAllowedValuesBuilder() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
A list of values that this kernel supports for this attr.
- getAllowedValuesBuilder() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
The set of allowed values.
- getAllowedValuesOrBuilder() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
A list of values that this kernel supports for this attr.
- getAllowedValuesOrBuilder() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint
-
A list of values that this kernel supports for this attr.
- getAllowedValuesOrBuilder() - Method in interface org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder
-
A list of values that this kernel supports for this attr.
- getAllowedValuesOrBuilder() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
The set of allowed values.
- getAllowedValuesOrBuilder() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
The set of allowed values.
- getAllowedValuesOrBuilder() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
The set of allowed values.
- getAllowsUninitializedInput() - Method in class org.tensorflow.framework.OpDef.Builder
-
By default, all inputs to an Op must be initialized Tensors.
- getAllowsUninitializedInput() - Method in class org.tensorflow.framework.OpDef
-
By default, all inputs to an Op must be initialized Tensors.
- getAllowsUninitializedInput() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
By default, all inputs to an Op must be initialized Tensors.
- getAllStartMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 all_start_micros = 2;
- getAllStartMicros() - Method in class org.tensorflow.framework.NodeExecStats
-
int64 all_start_micros = 2;
- getAllStartMicros() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
int64 all_start_micros = 2;
- getAllTestMatricesWithShape(char, int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
Get an array of INDArrays (2d) all with the specified shape.
- getAllTestMatricesWithShape(int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
Get an array of INDArrays (2d) all with the specified shape.
- getAllWorkspacesForCurrentThread() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- getAllWorkspacesIdsForCurrentThread() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- getAndActivateWorkspace() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method gets & activates default workspace
- getAndActivateWorkspace(String) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method gets & activates workspace with a given Id
- getAndActivateWorkspace(WorkspaceConfiguration, String) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method gets & activates default with a given configuration and Id
- getArgOrder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
List of original in_arg names to specify new argument order.
- getArgOrder(int) - Method in class org.tensorflow.framework.ApiDef
-
List of original in_arg names to specify new argument order.
- getArgOrder(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
List of original in_arg names to specify new argument order.
- getArgOrderBytes(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
List of original in_arg names to specify new argument order.
- getArgOrderBytes(int) - Method in class org.tensorflow.framework.ApiDef
-
List of original in_arg names to specify new argument order.
- getArgOrderBytes(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
List of original in_arg names to specify new argument order.
- getArgOrderCount() - Method in class org.tensorflow.framework.ApiDef.Builder
-
List of original in_arg names to specify new argument order.
- getArgOrderCount() - Method in class org.tensorflow.framework.ApiDef
-
List of original in_arg names to specify new argument order.
- getArgOrderCount() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
List of original in_arg names to specify new argument order.
- getArgOrderList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
List of original in_arg names to specify new argument order.
- getArgOrderList() - Method in class org.tensorflow.framework.ApiDef
-
List of original in_arg names to specify new argument order.
- getArgOrderList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
List of original in_arg names to specify new argument order.
- getArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- getArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- getArr() - Method in class org.nd4j.autodiff.samediff.SDVariable
-
A getter for the allocated ndarray
with this
SDVariable.
- getArr() - Method in interface org.nd4j.weightinit.impl.NDArraySupplierInitScheme.NDArraySupplier
-
An array proxy method.
- getArrayFrom(NODE_TYPE, GRAPH_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
- getArrayFrom(OnnxProto3.NodeProto, OnnxProto3.GraphProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getArrayFrom(NodeDef, GraphDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getArrForVarName(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- getAttr(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttr(int) - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttr(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttr() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
Deprecated.
- getAttr() - Method in class org.tensorflow.framework.FunctionDef
-
Deprecated.
- getAttr() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
Deprecated.
- getAttr() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
Deprecated.
- getAttr() - Method in class org.tensorflow.framework.NameAttrList
-
Deprecated.
- getAttr() - Method in interface org.tensorflow.framework.NameAttrListOrBuilder
-
Deprecated.
- getAttr() - Method in class org.tensorflow.framework.NodeDef.Builder
-
Deprecated.
- getAttr() - Method in class org.tensorflow.framework.NodeDef
-
Deprecated.
- getAttr() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
Deprecated.
- getAttr(int) - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttr(int) - Method in class org.tensorflow.framework.OpDef
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttr(int) - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrBuilderList() - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrCount() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrCount() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrCount() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrCount() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- getAttrCount() - Method in class org.tensorflow.framework.FunctionDef
-
- getAttrCount() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
Attributes specific to this function definition.
- getAttrCount() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- getAttrCount() - Method in class org.tensorflow.framework.NameAttrList
-
- getAttrCount() - Method in interface org.tensorflow.framework.NameAttrListOrBuilder
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrCount() - Method in class org.tensorflow.framework.NodeDef.Builder
-
- getAttrCount() - Method in class org.tensorflow.framework.NodeDef
-
- getAttrCount() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
Operation-specific graph-construction-time configuration.
- getAttrCount() - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrCount() - Method in class org.tensorflow.framework.OpDef
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrCount() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrDefault(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- getAttrDefault(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- getAttrDefault(int) - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- getAttrDefaultBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- getAttrDefaultBuilderList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- getAttrDefaultCount() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- getAttrDefaultCount() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- getAttrDefaultCount() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- getAttrDefaultList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- getAttrDefaultList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- getAttrDefaultList() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- getAttrDefaultOrBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- getAttrDefaultOrBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- getAttrDefaultOrBuilder(int) - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- getAttrDefaultOrBuilderList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- getAttrDefaultOrBuilderList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- getAttrDefaultOrBuilderList() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- getAttribute(int) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- getAttribute(int) - Method in class onnx.OnnxMlProto3.NodeProto
-
Additional named attributes.
- getAttribute(int) - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
Additional named attributes.
- getAttribute(int) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- getAttribute(int) - Method in class onnx.OnnxProto3.NodeProto
-
Additional named attributes.
- getAttribute(int) - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
Additional named attributes.
- getAttributeBuilder(int) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeBuilder(int) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeBuilderList() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeBuilderList() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeCount() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeCount() - Method in class onnx.OnnxMlProto3.NodeProto
-
Additional named attributes.
- getAttributeCount() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
Additional named attributes.
- getAttributeCount() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeCount() - Method in class onnx.OnnxProto3.NodeProto
-
Additional named attributes.
- getAttributeCount() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
Additional named attributes.
- getAttributeList() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeList() - Method in class onnx.OnnxMlProto3.NodeProto
-
Additional named attributes.
- getAttributeList() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
Additional named attributes.
- getAttributeList() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeList() - Method in class onnx.OnnxProto3.NodeProto
-
Additional named attributes.
- getAttributeList() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
Additional named attributes.
- getAttributeOrBuilder(int) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeOrBuilder(int) - Method in class onnx.OnnxMlProto3.NodeProto
-
Additional named attributes.
- getAttributeOrBuilder(int) - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
Additional named attributes.
- getAttributeOrBuilder(int) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeOrBuilder(int) - Method in class onnx.OnnxProto3.NodeProto
-
Additional named attributes.
- getAttributeOrBuilder(int) - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
Additional named attributes.
- getAttributeOrBuilderList() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeOrBuilderList() - Method in class onnx.OnnxMlProto3.NodeProto
-
Additional named attributes.
- getAttributeOrBuilderList() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
Additional named attributes.
- getAttributeOrBuilderList() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- getAttributeOrBuilderList() - Method in class onnx.OnnxProto3.NodeProto
-
Additional named attributes.
- getAttributeOrBuilderList() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
Additional named attributes.
- getAttrList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrList() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrList() - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrList() - Method in class org.tensorflow.framework.OpDef
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrList() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrMap(NODE_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
Get the attribute
map for given node
- getAttrMap(OnnxProto3.NodeProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getAttrMap(NodeDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getAttrMap() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
Attributes specific to this function definition.
- getAttrMap() - Method in class org.tensorflow.framework.FunctionDef
-
Attributes specific to this function definition.
- getAttrMap() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
Attributes specific to this function definition.
- getAttrMap() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrMap() - Method in class org.tensorflow.framework.NameAttrList
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrMap() - Method in interface org.tensorflow.framework.NameAttrListOrBuilder
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrMap() - Method in class org.tensorflow.framework.NodeDef.Builder
-
Operation-specific graph-construction-time configuration.
- getAttrMap() - Method in class org.tensorflow.framework.NodeDef
-
Operation-specific graph-construction-time configuration.
- getAttrMap() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
Operation-specific graph-construction-time configuration.
- getAttrOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrOrBuilder(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrOrBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrOrBuilder(int) - Method in class org.tensorflow.framework.OpDef
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrOrBuilder(int) - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrOrBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrOrBuilderList() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrOrBuilderList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- getAttrOrBuilderList() - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrOrBuilderList() - Method in class org.tensorflow.framework.OpDef
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrOrBuilderList() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
Attributes specific to this function definition.
- getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.FunctionDef
-
Attributes specific to this function definition.
- getAttrOrDefault(String, AttrValue) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
Attributes specific to this function definition.
- getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.NameAttrList.Builder
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.NameAttrList
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrOrDefault(String, AttrValue) - Method in interface org.tensorflow.framework.NameAttrListOrBuilder
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.NodeDef.Builder
-
Operation-specific graph-construction-time configuration.
- getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.framework.NodeDef
-
Operation-specific graph-construction-time configuration.
- getAttrOrDefault(String, AttrValue) - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
Operation-specific graph-construction-time configuration.
- getAttrOrThrow(String) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
Attributes specific to this function definition.
- getAttrOrThrow(String) - Method in class org.tensorflow.framework.FunctionDef
-
Attributes specific to this function definition.
- getAttrOrThrow(String) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
Attributes specific to this function definition.
- getAttrOrThrow(String) - Method in class org.tensorflow.framework.NameAttrList.Builder
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrOrThrow(String) - Method in class org.tensorflow.framework.NameAttrList
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrOrThrow(String) - Method in interface org.tensorflow.framework.NameAttrListOrBuilder
-
map<string, .tensorflow.AttrValue> attr = 2;
- getAttrOrThrow(String) - Method in class org.tensorflow.framework.NodeDef.Builder
-
Operation-specific graph-construction-time configuration.
- getAttrOrThrow(String) - Method in class org.tensorflow.framework.NodeDef
-
Operation-specific graph-construction-time configuration.
- getAttrOrThrow(String) - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
Operation-specific graph-construction-time configuration.
- getAttrRename(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- getAttrRename(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- getAttrRename(int) - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- getAttrRenameBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- getAttrRenameBuilderList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- getAttrRenameCount() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- getAttrRenameCount() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- getAttrRenameCount() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- getAttrRenameList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- getAttrRenameList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- getAttrRenameList() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- getAttrRenameOrBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- getAttrRenameOrBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- getAttrRenameOrBuilder(int) - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- getAttrRenameOrBuilderList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- getAttrRenameOrBuilderList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- getAttrRenameOrBuilderList() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- getAttrValueFromNode(NODE_TYPE, String) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
- getAttrValueFromNode(OnnxProto3.NodeProto, String) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getAttrValueFromNode(NodeDef, String) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getAudio() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Audio audio = 6;
- getAudio() - Method in class org.tensorflow.framework.Summary.Value
-
.tensorflow.Summary.Audio audio = 6;
- getAudio() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.Summary.Audio audio = 6;
- getAudioBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Audio audio = 6;
- getAudioOrBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Audio audio = 6;
- getAudioOrBuilder() - Method in class org.tensorflow.framework.Summary.Value
-
.tensorflow.Summary.Audio audio = 6;
- getAudioOrBuilder() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.Summary.Audio audio = 6;
- getAutoGcWindow() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- getAutoGcWindow() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method reutrns
- getAvailableCompressors() - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Get the set of available codecs for
compression
- getAverage() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- getAverage(String) - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- getAverageLoopTime() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- getAverageLoopTime() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method returns average time between invokeGCOccasionally() calls
- getB() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"bool"
- getB() - Method in class org.tensorflow.framework.AttrValue
-
"bool"
- getB(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(bool)"
- getB(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(bool)"
- getB(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(bool)"
- getB() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"bool"
- getBackend() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getBadConsumers(int) - Method in class org.tensorflow.framework.VersionDef.Builder
-
Specific consumer versions which are disallowed (e.g.
- getBadConsumers(int) - Method in class org.tensorflow.framework.VersionDef
-
Specific consumer versions which are disallowed (e.g.
- getBadConsumers(int) - Method in interface org.tensorflow.framework.VersionDefOrBuilder
-
Specific consumer versions which are disallowed (e.g.
- getBadConsumersCount() - Method in class org.tensorflow.framework.VersionDef.Builder
-
Specific consumer versions which are disallowed (e.g.
- getBadConsumersCount() - Method in class org.tensorflow.framework.VersionDef
-
Specific consumer versions which are disallowed (e.g.
- getBadConsumersCount() - Method in interface org.tensorflow.framework.VersionDefOrBuilder
-
Specific consumer versions which are disallowed (e.g.
- getBadConsumersList() - Method in class org.tensorflow.framework.VersionDef.Builder
-
Specific consumer versions which are disallowed (e.g.
- getBadConsumersList() - Method in class org.tensorflow.framework.VersionDef
-
Specific consumer versions which are disallowed (e.g.
- getBadConsumersList() - Method in interface org.tensorflow.framework.VersionDefOrBuilder
-
Specific consumer versions which are disallowed (e.g.
- getBaseNameForFunction(DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Returns the base name for the given function
if any (may return null)
- getBatches(List<U>) - Static method in class org.nd4j.linalg.api.ops.aggregates.Batch
-
Helper method to create batch from list of aggregates, for cases when list of aggregates is higher then batchLimit
- getBatches(List<U>, int) - Static method in class org.nd4j.linalg.api.ops.aggregates.Batch
-
Helper method to create batch from list of aggregates, for cases when list of aggregates is higher then batchLimit
- getBCount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(bool)"
- getBCount() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(bool)"
- getBCount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(bool)"
- getBegin() - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
int64 begin = 1;
- getBegin() - Method in class onnx.OnnxMlProto3.TensorProto.Segment
-
int64 begin = 1;
- getBegin() - Method in interface onnx.OnnxMlProto3.TensorProto.SegmentOrBuilder
-
int64 begin = 1;
- getBegin() - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
int64 begin = 1;
- getBegin() - Method in class onnx.OnnxProto3.TensorProto.Segment
-
int64 begin = 1;
- getBegin() - Method in interface onnx.OnnxProto3.TensorProto.SegmentOrBuilder
-
int64 begin = 1;
- getBlasOffset(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Get blas stride for the
given array
- getBlasStride(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Get blas stride for the
given array
- getBlasVendor() - Method in interface org.nd4j.linalg.api.blas.Blas
-
Returns the BLAS library vendor
- getBlasVendorId() - Method in interface org.nd4j.linalg.api.blas.Blas
-
Returns the BLAS library vendor id
0 - UNKNOWN, 1 - CUBLAS, 2 - OPENBLAS, 3 - MKL
- getBlasWrapper() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getBList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(bool)"
- getBList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(bool)"
- getBList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(bool)"
- getBlockName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.IfDerivative
-
- getBlockName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.WhileDerivative
-
- getBoolVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_BOOL
- getBoolVal(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_BOOL
- getBoolVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_BOOL
- getBoolValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_BOOL
- getBoolValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_BOOL
- getBoolValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_BOOL
- getBoolValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_BOOL
- getBoolValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_BOOL
- getBoolValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_BOOL
- getBroadcastDimensions(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Compute the broadcast rules according to:
https://docs.scipy.org/doc/numpy-1.10.1/user/basics.broadcasting.html
Note that the array can be null if the arrays are already equal
in shape.
- getBucket(int) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
repeated double bucket = 7 [packed = true];
- getBucket(int) - Method in class org.tensorflow.framework.HistogramProto
-
repeated double bucket = 7 [packed = true];
- getBucket(int) - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
repeated double bucket = 7 [packed = true];
- getBucketCount() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
repeated double bucket = 7 [packed = true];
- getBucketCount() - Method in class org.tensorflow.framework.HistogramProto
-
repeated double bucket = 7 [packed = true];
- getBucketCount() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
repeated double bucket = 7 [packed = true];
- getBucketLimit(int) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimit(int) - Method in class org.tensorflow.framework.HistogramProto
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimit(int) - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimitCount() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimitCount() - Method in class org.tensorflow.framework.HistogramProto
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimitCount() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimitList() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimitList() - Method in class org.tensorflow.framework.HistogramProto
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketLimitList() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- getBucketList() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
repeated double bucket = 7 [packed = true];
- getBucketList() - Method in class org.tensorflow.framework.HistogramProto
-
repeated double bucket = 7 [packed = true];
- getBucketList() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
repeated double bucket = 7 [packed = true];
- getBusId() - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
Optional bus locality of device.
- getBusId() - Method in class org.tensorflow.framework.DeviceLocality
-
Optional bus locality of device.
- getBusId() - Method in interface org.tensorflow.framework.DeviceLocalityOrBuilder
-
Optional bus locality of device.
- getCachedBytes() - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider
-
- getCachedBytes() - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider
-
This method returns memory used for cache, in bytes
- getCachedBytes() - Method in interface org.nd4j.linalg.cache.ConstantHandler
-
This method returns memory used for cache, in bytes
- getCachedBytes() - Method in interface org.nd4j.linalg.cache.TADManager
-
This method returns memory used for cache, in bytes
- getCharForTranspose(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Returns the proper character for
how to interpret a buffer (fortran being N C being T)
- getColorspace() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
Valid colorspace values are
1 - grayscale
2 - grayscale + alpha
3 - RGB
4 - RGBA
5 - DIGITAL_YUV
6 - BGRA
- getColorspace() - Method in class org.tensorflow.framework.Summary.Image
-
Valid colorspace values are
1 - grayscale
2 - grayscale + alpha
3 - RGB
4 - RGBA
5 - DIGITAL_YUV
6 - BGRA
- getColorspace() - Method in interface org.tensorflow.framework.Summary.ImageOrBuilder
-
Valid colorspace values are
1 - grayscale
2 - grayscale + alpha
3 - RGB
4 - RGBA
5 - DIGITAL_YUV
6 - BGRA
- getColumn(int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Get the specified column
- getColumn(int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns the specified column.
- getColumn(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Get the specified column
- getColumn(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getColumn(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the specified column.
- getColumnNames() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getColumnNames() - Method in class org.nd4j.linalg.dataset.DataSet
-
Deprecated.
- getColumns(int[]) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Get whole columns from the passed indices.
- getColumns(int[]) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- getColumns(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Get whole columns
from the passed indices.
- getColumns(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getColumns() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
- getColumns(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get an INDArray comprised of the specified columns only.
- getComplex(int, IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- getComplex(int, int, IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- getComplex(int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- getComplex(int, int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- getComplex(int...) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- getComplex(int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- getComplex(int, int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- getComplex(int, IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- getComplex(int, int, IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- getComplex(int...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Get the complex number at the given indices
- getComplexDouble(long) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
- getComplexFloat(long) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
- getComplexStrides(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the strides for the given order and shape
- getComplexStrides(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the strides based on the shape
and NDArrays.order()
- getCompressionType() - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method returns compression opType provided
by specific NDArrayCompressor implementation
- getCompressor(String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
- getCompressor() - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns BasicNDArrayCompressor instance,
suitable for NDArray compression/decompression
at runtime
- getComputeCost() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Estimate of the computational cost of this node, in microseconds.
- getComputeCost() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
Estimate of the computational cost of this node, in microseconds.
- getComputeCost() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Estimate of the computational cost of this node, in microseconds.
- getComputeTime() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Analytical estimate of the computational cost of this node, in
microseconds.
- getComputeTime() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
Analytical estimate of the computational cost of this node, in
microseconds.
- getComputeTime() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Analytical estimate of the computational cost of this node, in
microseconds.
- getConfig() - Method in interface org.nd4j.linalg.learning.GradientUpdater
-
- getConstantBuffer(int[]) - Method in interface org.nd4j.linalg.cache.ConstantHandler
-
This method returns DataBuffer with
constant equal to input array.
- getConstantBuffer(float[]) - Method in interface org.nd4j.linalg.cache.ConstantHandler
-
This method returns DataBuffer
with constant equal to input array.
- getConstantBuffer(double[]) - Method in interface org.nd4j.linalg.cache.ConstantHandler
-
This method returns DataBuffer with contant equal to input array.
- getConstantHandler() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getConstNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- getConstNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- getConstNodeInfo(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- getConstNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- getConstNodeInfoBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- getConstNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- getConstNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- getConstNodeInfoCount() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- getConstNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- getConstNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- getConstNodeInfoList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- getConstNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- getConstNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- getConstNodeInfoOrBuilder(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- getConstNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- getConstNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- getConstNodeInfoOrBuilderList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- getConstraint(int) - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraint(int) - Method in class org.tensorflow.framework.KernelDef
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraint(int) - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintBuilder(int) - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintBuilderList() - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintCount() - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintCount() - Method in class org.tensorflow.framework.KernelDef
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintCount() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintList() - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintList() - Method in class org.tensorflow.framework.KernelDef
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintList() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintOrBuilder(int) - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintOrBuilder(int) - Method in class org.tensorflow.framework.KernelDef
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintOrBuilder(int) - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintOrBuilderList() - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintOrBuilderList() - Method in class org.tensorflow.framework.KernelDef
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getConstraintOrBuilderList() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- getContainer() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Container in which this resource is placed.
- getContainer() - Method in class org.tensorflow.framework.ResourceHandleProto
-
Container in which this resource is placed.
- getContainer() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
Container in which this resource is placed.
- getContainerBytes() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Container in which this resource is placed.
- getContainerBytes() - Method in class org.tensorflow.framework.ResourceHandleProto
-
Container in which this resource is placed.
- getContainerBytes() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
Container in which this resource is placed.
- getContent() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
The content to store for the plugin.
- getContent() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData
-
The content to store for the plugin.
- getContent() - Method in interface org.tensorflow.framework.SummaryMetadata.PluginDataOrBuilder
-
The content to store for the plugin.
- getContentType() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
string content_type = 5;
- getContentType() - Method in class org.tensorflow.framework.Summary.Audio
-
string content_type = 5;
- getContentType() - Method in interface org.tensorflow.framework.Summary.AudioOrBuilder
-
string content_type = 5;
- getContentTypeBytes() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
string content_type = 5;
- getContentTypeBytes() - Method in class org.tensorflow.framework.Summary.Audio
-
string content_type = 5;
- getContentTypeBytes() - Method in interface org.tensorflow.framework.Summary.AudioOrBuilder
-
string content_type = 5;
- getControlInput(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Ids of the control inputs for this node.
- getControlInput(int) - Method in class org.tensorflow.framework.CostGraphDef.Node
-
Ids of the control inputs for this node.
- getControlInput(int) - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Ids of the control inputs for this node.
- getControlInputCount() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Ids of the control inputs for this node.
- getControlInputCount() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
Ids of the control inputs for this node.
- getControlInputCount() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Ids of the control inputs for this node.
- getControlInputList() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Ids of the control inputs for this node.
- getControlInputList() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
Ids of the control inputs for this node.
- getControlInputList() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Ids of the control inputs for this node.
- getConvolution() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the convolution singleton
- getCount(String) - Method in class org.nd4j.linalg.profiler.data.StringCounter
-
- getCovarianceMatrix() - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
- getCurrentSize() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This methos returns current allocated size of this workspace
- getCurrentSize() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns current amount of memory allocated for workspace.
- getCurrentWork() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
bytes current_work = 4;
- getCurrentWork() - Method in class org.tensorflow.framework.ReaderBaseState
-
bytes current_work = 4;
- getCurrentWork() - Method in interface org.tensorflow.framework.ReaderBaseStateOrBuilder
-
bytes current_work = 4;
- getCurrentWorkspace() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- getCurrentWorkspace() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
- getCustomOperations() - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
-
- getCustomOperations() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- getCustomOperations() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method returns names of all custom operations available in current backend, and their number of input/output arguments
- getCyclesCount() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- getData() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
bytes data = 4;
- getData() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
-
bytes data = 4;
- getData() - Method in interface org.tensorflow.framework.GraphTransferInfo.ConstNodeInfoOrBuilder
-
bytes data = 4;
- getDataBufferFactory() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getDataBufferLogEntries() - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
-
- getDataType() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The data type of the tensor.
- getDataType() - Method in class onnx.OnnxMlProto3.TensorProto
-
The data type of the tensor.
- getDataType() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
The data type of the tensor.
- getDataType() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The data type of the tensor.
- getDataType() - Method in class onnx.OnnxProto3.TensorProto
-
The data type of the tensor.
- getDataType() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
The data type of the tensor.
- getDataType() - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- getDataType() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- getDataTypeAsByte(DataBuffer.Type) - Static method in class org.nd4j.autodiff.samediff.SameDiff
-
This method converts enums for DataType
- getDataTypeFromByte(byte) - Static method in class org.nd4j.autodiff.samediff.SameDiff
-
This method converts enums for DataType
- getDataTypeValue() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The data type of the tensor.
- getDataTypeValue() - Method in class onnx.OnnxMlProto3.TensorProto
-
The data type of the tensor.
- getDataTypeValue() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
The data type of the tensor.
- getDataTypeValue() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The data type of the tensor.
- getDataTypeValue() - Method in class onnx.OnnxProto3.TensorProto
-
The data type of the tensor.
- getDataTypeValue() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
The data type of the tensor.
- getDcomplexVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX128.
- getDcomplexVal(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_COMPLEX128.
- getDcomplexVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_COMPLEX128.
- getDcomplexValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX128.
- getDcomplexValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_COMPLEX128.
- getDcomplexValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_COMPLEX128.
- getDcomplexValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX128.
- getDcomplexValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_COMPLEX128.
- getDcomplexValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_COMPLEX128.
- getDefault() - Static method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer
-
Get the default serializer configured with strategies for the built-in normalizer implementations
- getDefaultCompression() - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Get the default compression algorithm as a string.
- getDefaultGraphInputTensorShape(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShape(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShape(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeBuilderList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeCount() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeList() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeOrBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeOrBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeOrBuilder(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeOrBuilderList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeOrBuilderList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphInputTensorShapeOrBuilderList() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- getDefaultGraphOutputTensorShape(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShape(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShape(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeBuilderList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeCount() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeList() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeOrBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeOrBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeOrBuilder(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeOrBuilderList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeOrBuilderList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultGraphOutputTensorShapeOrBuilderList() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.AttributeProto
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.GraphProto
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.ModelProto
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.NodeProto
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.OperatorSetIdProto
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.StringStringEntryProto
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.TensorProto
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.TensorProto.Segment
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.TensorShapeProto
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.TypeProto
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.TypeProto.Map
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.TypeProto.Sequence
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.TypeProto.Tensor
-
- getDefaultInstance() - Static method in class onnx.OnnxMlProto3.ValueInfoProto
-
- getDefaultInstance() - Static method in class onnx.OnnxOperatorsProto3.OperatorProto
-
- getDefaultInstance() - Static method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.AttributeProto
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.GraphProto
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.ModelProto
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.NodeProto
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.OperatorSetIdProto
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.StringStringEntryProto
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.TensorProto
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.TensorProto.Segment
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.TensorShapeProto.Dimension
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.TensorShapeProto
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.TypeProto
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.TypeProto.Tensor
-
- getDefaultInstance() - Static method in class onnx.OnnxProto3.ValueInfoProto
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.AllocationDescription
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.AllocationRecord
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.AllocatorMemoryUsed
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.ApiDef.Arg
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.ApiDef.Attr
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.ApiDef.Endpoint
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.ApiDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.ApiDefs
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.AttrValue
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.AttrValue.ListValue
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.CostGraphDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.CostGraphDef.Node
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.DeviceAttributes
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.DeviceLocality
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.DeviceStepStats
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.FunctionDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.FunctionDefLibrary
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GradientDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GraphDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferInfo
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferInfo.NodeInput
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.HistogramProto
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.KernelDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.MemoryLogRawAllocation
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.MemoryLogStep
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.MemoryLogTensorOutput
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.MemoryStats
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.NameAttrList
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.NodeDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.NodeExecStats
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.NodeOutput
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.OpDef.ArgDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.OpDef.AttrDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.OpDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.OpDeprecation
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.OpList
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.ReaderBaseState
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.ResourceHandleProto
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.SaveSliceInfoDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.StepStats
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.Summary.Audio
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.Summary
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.Summary.Image
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.Summary.Value
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.SummaryDescription
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.SummaryMetadata
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.TensorDescription
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.TensorProto
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.TensorShapeProto.Dim
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.TensorShapeProto
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.TensorSliceProto.Extent
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.TensorSliceProto
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.VariableDef
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.VariantTensorDataProto
-
- getDefaultInstance() - Static method in class org.tensorflow.framework.VersionDef
-
- getDefaultInstance() - Static method in class org.tensorflow.util.IteratorStateMetadata
-
- getDefaultInstance() - Static method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault
-
- getDefaultInstance() - Static method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
- getDefaultInstance() - Static method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename
-
- getDefaultInstance() - Static method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.AttributeProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.GraphProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.ModelProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.NodeProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.StringStringEntryProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TensorProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TensorProto.Segment
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TensorShapeProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TypeProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TypeProto.Map
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxMlProto3.ValueInfoProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.AttributeProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.GraphProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.ModelProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.NodeProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.OperatorSetIdProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.StringStringEntryProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TensorProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TensorProto.Segment
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TensorShapeProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TypeProto
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.TypeProto.Tensor
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
- getDefaultInstanceForType() - Method in class onnx.OnnxProto3.ValueInfoProto
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AllocationDescription
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AllocationRecord
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef.Arg
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef.Attr
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef.Endpoint
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDefs.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ApiDefs
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AttrValue.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AttrValue
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.DeviceAttributes
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.DeviceLocality
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.DeviceStepStats
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.FunctionDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.FunctionDefLibrary
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GradientDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GradientDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferInfo
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.HistogramProto
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.KernelDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.KernelDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogStep
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.MemoryStats
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.NameAttrList
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.NodeDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.NodeDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.NodeExecStats
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.NodeOutput.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.NodeOutput
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpDeprecation
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpList.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.OpList
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ReaderBaseState
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.ResourceHandleProto
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.StepStats.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.StepStats
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary.Audio
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary.Image
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.Summary.Value
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.SummaryDescription
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.SummaryMetadata
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorDescription
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorProto.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorProto
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorShapeProto.Dim
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorShapeProto
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorSliceProto.Extent
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.TensorSliceProto
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.VariableDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.VariableDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.VariantTensorDataProto
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.VersionDef.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.framework.VersionDef
-
- getDefaultInstanceForType() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
- getDefaultInstanceForType() - Method in class org.tensorflow.util.IteratorStateMetadata
-
- getDefaultInstanceForType() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault
-
- getDefaultInstanceForType() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
- getDefaultInstanceForType() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename
-
- getDefaultInstanceForType() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
- getDefaultInstanceForType() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides
-
- getDefaultValue() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Specify a new default value to use for this attr.
- getDefaultValue() - Method in class org.tensorflow.framework.ApiDef.Attr
-
Specify a new default value to use for this attr.
- getDefaultValue() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder
-
Specify a new default value to use for this attr.
- getDefaultValue() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A reasonable default for this attribute if the user does not supply
a value.
- getDefaultValue() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
A reasonable default for this attribute if the user does not supply
a value.
- getDefaultValue() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
A reasonable default for this attribute if the user does not supply
a value.
- getDefaultValueBuilder() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Specify a new default value to use for this attr.
- getDefaultValueBuilder() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A reasonable default for this attribute if the user does not supply
a value.
- getDefaultValueOrBuilder() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Specify a new default value to use for this attr.
- getDefaultValueOrBuilder() - Method in class org.tensorflow.framework.ApiDef.Attr
-
Specify a new default value to use for this attr.
- getDefaultValueOrBuilder() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder
-
Specify a new default value to use for this attr.
- getDefaultValueOrBuilder() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A reasonable default for this attribute if the user does not supply
a value.
- getDefaultValueOrBuilder() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
A reasonable default for this attribute if the user does not supply
a value.
- getDefaultValueOrBuilder() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
A reasonable default for this attribute if the user does not supply
a value.
- getDeferred() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
True if the deallocation is queued and will be performed later,
e.g.
- getDeferred() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
True if the deallocation is queued and will be performed later,
e.g.
- getDeferred() - Method in interface org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder
-
True if the deallocation is queued and will be performed later,
e.g.
- getDeprecation() - Method in class org.tensorflow.framework.OpDef.Builder
-
Optional deprecation based on GraphDef versions.
- getDeprecation() - Method in class org.tensorflow.framework.OpDef
-
Optional deprecation based on GraphDef versions.
- getDeprecation() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Optional deprecation based on GraphDef versions.
- getDeprecationBuilder() - Method in class org.tensorflow.framework.OpDef.Builder
-
Optional deprecation based on GraphDef versions.
- getDeprecationOrBuilder() - Method in class org.tensorflow.framework.OpDef.Builder
-
Optional deprecation based on GraphDef versions.
- getDeprecationOrBuilder() - Method in class org.tensorflow.framework.OpDef
-
Optional deprecation based on GraphDef versions.
- getDeprecationOrBuilder() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Optional deprecation based on GraphDef versions.
- getDeprecationVersion() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
First GraphDef version at which the op is disallowed.
- getDeprecationVersion() - Method in class org.tensorflow.framework.ApiDef.Endpoint
-
First GraphDef version at which the op is disallowed.
- getDeprecationVersion() - Method in interface org.tensorflow.framework.ApiDef.EndpointOrBuilder
-
First GraphDef version at which the op is disallowed.
- getDescription() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
Note: this will replace any inherited arg doc.
- getDescription() - Method in class org.tensorflow.framework.ApiDef.Arg
-
Note: this will replace any inherited arg doc.
- getDescription() - Method in interface org.tensorflow.framework.ApiDef.ArgOrBuilder
-
Note: this will replace any inherited arg doc.
- getDescription() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- getDescription() - Method in class org.tensorflow.framework.ApiDef.Attr
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- getDescription() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- getDescription() - Method in class org.tensorflow.framework.ApiDef.Builder
-
Additional, longer human-readable description of what the Op does.
- getDescription() - Method in class org.tensorflow.framework.ApiDef
-
Additional, longer human-readable description of what the Op does.
- getDescription() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
Additional, longer human-readable description of what the Op does.
- getDescription() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Human readable description.
- getDescription() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
Human readable description.
- getDescription() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
Human readable description.
- getDescription() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
Human-readable description.
- getDescription() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
Human-readable description.
- getDescription() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
Human-readable description.
- getDescription() - Method in class org.tensorflow.framework.OpDef.Builder
-
Additional, longer human-readable description of what the Op does.
- getDescription() - Method in class org.tensorflow.framework.OpDef
-
Additional, longer human-readable description of what the Op does.
- getDescription() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Additional, longer human-readable description of what the Op does.
- getDescriptionBytes() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
Note: this will replace any inherited arg doc.
- getDescriptionBytes() - Method in class org.tensorflow.framework.ApiDef.Arg
-
Note: this will replace any inherited arg doc.
- getDescriptionBytes() - Method in interface org.tensorflow.framework.ApiDef.ArgOrBuilder
-
Note: this will replace any inherited arg doc.
- getDescriptionBytes() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- getDescriptionBytes() - Method in class org.tensorflow.framework.ApiDef.Attr
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- getDescriptionBytes() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- getDescriptionBytes() - Method in class org.tensorflow.framework.ApiDef.Builder
-
Additional, longer human-readable description of what the Op does.
- getDescriptionBytes() - Method in class org.tensorflow.framework.ApiDef
-
Additional, longer human-readable description of what the Op does.
- getDescriptionBytes() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
Additional, longer human-readable description of what the Op does.
- getDescriptionBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Human readable description.
- getDescriptionBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
Human readable description.
- getDescriptionBytes() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
Human readable description.
- getDescriptionBytes() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
Human-readable description.
- getDescriptionBytes() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
Human-readable description.
- getDescriptionBytes() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
Human-readable description.
- getDescriptionBytes() - Method in class org.tensorflow.framework.OpDef.Builder
-
Additional, longer human-readable description of what the Op does.
- getDescriptionBytes() - Method in class org.tensorflow.framework.OpDef
-
Additional, longer human-readable description of what the Op does.
- getDescriptionBytes() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Additional, longer human-readable description of what the Op does.
- getDescriptionPrefix() - Method in class org.tensorflow.framework.ApiDef.Builder
-
Modify an existing/inherited description by adding text to the beginning
or end.
- getDescriptionPrefix() - Method in class org.tensorflow.framework.ApiDef
-
Modify an existing/inherited description by adding text to the beginning
or end.
- getDescriptionPrefix() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
Modify an existing/inherited description by adding text to the beginning
or end.
- getDescriptionPrefixBytes() - Method in class org.tensorflow.framework.ApiDef.Builder
-
Modify an existing/inherited description by adding text to the beginning
or end.
- getDescriptionPrefixBytes() - Method in class org.tensorflow.framework.ApiDef
-
Modify an existing/inherited description by adding text to the beginning
or end.
- getDescriptionPrefixBytes() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
Modify an existing/inherited description by adding text to the beginning
or end.
- getDescriptionSuffix() - Method in class org.tensorflow.framework.ApiDef.Builder
-
string description_suffix = 10;
- getDescriptionSuffix() - Method in class org.tensorflow.framework.ApiDef
-
string description_suffix = 10;
- getDescriptionSuffix() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
string description_suffix = 10;
- getDescriptionSuffixBytes() - Method in class org.tensorflow.framework.ApiDef.Builder
-
string description_suffix = 10;
- getDescriptionSuffixBytes() - Method in class org.tensorflow.framework.ApiDef
-
string description_suffix = 10;
- getDescriptionSuffixBytes() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
string description_suffix = 10;
- getDescriptor() - Static method in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.AttributeProto
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.GraphProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.GraphProto
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.ModelProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.ModelProto
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.NodeProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.NodeProto
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.OperatorSetIdProto
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.StringStringEntryProto
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TensorProto.Builder
-
- getDescriptor() - Static method in enum onnx.OnnxMlProto3.TensorProto.DataType
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TensorProto
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TensorProto.Segment
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TensorShapeProto
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TypeProto
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TypeProto.Map
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TypeProto.Sequence
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.TypeProto.Tensor
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxMlProto3.ValueInfoProto
-
- getDescriptor() - Static method in enum onnx.OnnxMlProto3.Version
-
- getDescriptor() - Static method in class onnx.OnnxOperatorsProto3
-
- getDescriptor() - Static method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxOperatorsProto3.OperatorProto
-
- getDescriptor() - Static method in enum onnx.OnnxOperatorsProto3.OperatorProto.OperatorStatus
-
- getDescriptor() - Static method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
- getDescriptor() - Static method in enum onnx.OnnxProto3.AttributeProto.AttributeType
-
- getDescriptor() - Static method in class onnx.OnnxProto3.AttributeProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.AttributeProto
-
- getDescriptor() - Static method in class onnx.OnnxProto3
-
- getDescriptor() - Static method in class onnx.OnnxProto3.GraphProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.GraphProto
-
- getDescriptor() - Static method in class onnx.OnnxProto3.ModelProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.ModelProto
-
- getDescriptor() - Static method in class onnx.OnnxProto3.NodeProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.NodeProto
-
- getDescriptor() - Static method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.OperatorSetIdProto
-
- getDescriptor() - Static method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.StringStringEntryProto
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TensorProto.Builder
-
- getDescriptor() - Static method in enum onnx.OnnxProto3.TensorProto.DataType
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TensorProto
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TensorProto.Segment
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TensorShapeProto.Dimension
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TensorShapeProto
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TypeProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TypeProto
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.TypeProto.Tensor
-
- getDescriptor() - Static method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
- getDescriptor() - Static method in class onnx.OnnxProto3.ValueInfoProto
-
- getDescriptor() - Static method in enum onnx.OnnxProto3.Version
-
- getDescriptor() - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- getDescriptor() - Method in interface org.nd4j.linalg.api.ops.CustomOp
-
Get the custom op descriptor if one is available.
- getDescriptor() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- getDescriptor() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
-
- getDescriptor() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
-
- getDescriptor() - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method returns compression descriptor.
- getDescriptor() - Static method in class org.tensorflow.framework.AllocationDescription.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.AllocationDescription
-
- getDescriptor() - Static method in class org.tensorflow.framework.AllocationDescriptionProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.AllocationRecord.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.AllocationRecord
-
- getDescriptor() - Static method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.AllocatorMemoryUsed
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDef.Arg
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDef.Attr
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDef.Endpoint
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDef
-
- getDescriptor() - Static method in enum org.tensorflow.framework.ApiDef.Visibility
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDefProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDefs.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.ApiDefs
-
- getDescriptor() - Static method in class org.tensorflow.framework.AttrValue.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.AttrValue
-
- getDescriptor() - Static method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.AttrValue.ListValue
-
- getDescriptor() - Static method in class org.tensorflow.framework.AttrValueProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef.Node
-
- getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
- getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- getDescriptor() - Static method in class org.tensorflow.framework.CostGraphProtos
-
- getDescriptor() - Static method in enum org.tensorflow.framework.DataType
-
- getDescriptor() - Static method in class org.tensorflow.framework.DeviceAttributes.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.DeviceAttributes
-
- getDescriptor() - Static method in class org.tensorflow.framework.DeviceAttributesProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.DeviceLocality.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.DeviceLocality
-
- getDescriptor() - Static method in class org.tensorflow.framework.DeviceStepStats.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.DeviceStepStats
-
- getDescriptor() - Static method in class org.tensorflow.framework.FunctionDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.FunctionDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.FunctionDefLibrary
-
- getDescriptor() - Static method in class org.tensorflow.framework.FunctionProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.GradientDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GradientDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
-
- getDescriptor() - Static method in enum org.tensorflow.framework.GraphTransferInfo.Destination
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfo
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfo.NodeInput
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo
-
- getDescriptor() - Static method in class org.tensorflow.framework.GraphTransferInfoProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.HistogramProto.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.HistogramProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint
-
- getDescriptor() - Static method in class org.tensorflow.framework.KernelDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.KernelDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.KernelDefProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.LogMemoryProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogRawAllocation
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogStep.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogStep
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryLogTensorOutput
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryStats.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.MemoryStats
-
- getDescriptor() - Static method in class org.tensorflow.framework.NameAttrList.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.NameAttrList
-
- getDescriptor() - Static method in class org.tensorflow.framework.NodeDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.NodeDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.NodeExecStats.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.NodeExecStats
-
- getDescriptor() - Static method in class org.tensorflow.framework.NodeOutput.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.NodeOutput
-
- getDescriptor() - Static method in class org.tensorflow.framework.NodeProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpDef.ArgDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpDef.AttrDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpDefProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpDeprecation.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpDeprecation
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpList.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.OpList
-
- getDescriptor() - Static method in class org.tensorflow.framework.ReaderBaseProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.ReaderBaseState.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.ReaderBaseState
-
- getDescriptor() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- getDescriptor() - Static method in enum org.tensorflow.framework.RemoteFusedGraphExecuteInfo.NodeType
-
- getDescriptor() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfoProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.ResourceHandle
-
- getDescriptor() - Static method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.ResourceHandleProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.SaveSliceInfoDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.StepStats.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.StepStats
-
- getDescriptor() - Static method in class org.tensorflow.framework.StepStatsProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.Summary.Audio.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.Summary.Audio
-
- getDescriptor() - Static method in class org.tensorflow.framework.Summary.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.Summary
-
- getDescriptor() - Static method in class org.tensorflow.framework.Summary.Image.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.Summary.Image
-
- getDescriptor() - Static method in class org.tensorflow.framework.Summary.Value.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.Summary.Value
-
- getDescriptor() - Static method in class org.tensorflow.framework.SummaryDescription.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.SummaryDescription
-
- getDescriptor() - Static method in class org.tensorflow.framework.SummaryMetadata.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.SummaryMetadata
-
- getDescriptor() - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData
-
- getDescriptor() - Static method in class org.tensorflow.framework.SummaryProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorDescription.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorDescription
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorDescriptionProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorProto.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorShapeProto.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorShapeProto.Dim
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorShapeProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorShapeProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorSliceProto.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorSliceProto.Extent
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorSliceProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.TensorSliceProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.TypesProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.VariableDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.VariableDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.VariableProtos
-
- getDescriptor() - Static method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.VariantTensorDataProto
-
- getDescriptor() - Static method in class org.tensorflow.framework.VersionDef.Builder
-
- getDescriptor() - Static method in class org.tensorflow.framework.VersionDef
-
- getDescriptor() - Static method in class org.tensorflow.framework.VersionsProtos
-
- getDescriptor() - Static method in class org.tensorflow.util.IteratorProtos
-
- getDescriptor() - Static method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
- getDescriptor() - Static method in class org.tensorflow.util.IteratorStateMetadata
-
- getDescriptor() - Static method in class tensorflow.OpGenOverridesOuterClass
-
- getDescriptor() - Static method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
- getDescriptor() - Static method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault
-
- getDescriptor() - Static method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
- getDescriptor() - Static method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
- getDescriptor() - Static method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
-
- getDescriptor() - Static method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename
-
- getDescriptor() - Static method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
- getDescriptor() - Static method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides
-
- getDescriptorForType() - Method in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
- getDescriptorForType() - Method in enum onnx.OnnxMlProto3.TensorProto.DataType
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
- getDescriptorForType() - Method in enum onnx.OnnxMlProto3.Version
-
- getDescriptorForType() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
- getDescriptorForType() - Method in enum onnx.OnnxOperatorsProto3.OperatorProto.OperatorStatus
-
- getDescriptorForType() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
- getDescriptorForType() - Method in enum onnx.OnnxProto3.AttributeProto.AttributeType
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
- getDescriptorForType() - Method in enum onnx.OnnxProto3.TensorProto.DataType
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
- getDescriptorForType() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
- getDescriptorForType() - Method in enum onnx.OnnxProto3.Version
-
- getDescriptorForType() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.ApiDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- getDescriptorForType() - Method in enum org.tensorflow.framework.ApiDef.Visibility
-
- getDescriptorForType() - Method in class org.tensorflow.framework.ApiDefs.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.AttrValue.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- getDescriptorForType() - Method in enum org.tensorflow.framework.DataType
-
- getDescriptorForType() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GradientDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GraphDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
- getDescriptorForType() - Method in enum org.tensorflow.framework.GraphTransferInfo.Destination
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.KernelDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.NodeDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.NodeOutput.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.OpDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.OpList.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- getDescriptorForType() - Method in enum org.tensorflow.framework.RemoteFusedGraphExecuteInfo.NodeType
-
- getDescriptorForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.StepStats.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.Summary.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.TensorProto.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.VariableDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.framework.VersionDef.Builder
-
- getDescriptorForType() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
- getDescriptorForType() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
- getDescriptorForType() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
- getDescriptorForType() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
-
- getDescriptorForType() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
- getDestination() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Destination of graph transfer
- getDestination() - Method in class org.tensorflow.framework.GraphTransferInfo
-
Destination of graph transfer
- getDestination() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
Destination of graph transfer
- getDestinationValue() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Destination of graph transfer
- getDestinationValue() - Method in class org.tensorflow.framework.GraphTransferInfo
-
Destination of graph transfer
- getDestinationValue() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
Destination of graph transfer
- getDestroyed() - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
-
- getDestroyed() - Method in interface org.nd4j.linalg.api.instrumentation.Instrumentation
-
Get the destroyed ndarrays
- getDeviancePart(double, double) - Static method in class org.nd4j.linalg.api.rng.distribution.impl.SaddlePointExpansion
-
A part of the deviance portion of the saddle point approximation.
- getDevice() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The device of the node.
- getDevice() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
The device of the node.
- getDevice() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
The device of the node.
- getDevice() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
string device = 1;
- getDevice() - Method in class org.tensorflow.framework.DeviceStepStats
-
string device = 1;
- getDevice() - Method in interface org.tensorflow.framework.DeviceStepStatsOrBuilder
-
string device = 1;
- getDevice() - Method in class org.tensorflow.framework.NodeDef.Builder
-
A (possibly partial) specification for the device on which this
node should be placed.
- getDevice() - Method in class org.tensorflow.framework.NodeDef
-
A (possibly partial) specification for the device on which this
node should be placed.
- getDevice() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
A (possibly partial) specification for the device on which this
node should be placed.
- getDevice() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name for the device containing the resource.
- getDevice() - Method in class org.tensorflow.framework.ResourceHandleProto
-
Unique name for the device containing the resource.
- getDevice() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
Unique name for the device containing the resource.
- getDeviceBytes() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The device of the node.
- getDeviceBytes() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
The device of the node.
- getDeviceBytes() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
The device of the node.
- getDeviceBytes() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
string device = 1;
- getDeviceBytes() - Method in class org.tensorflow.framework.DeviceStepStats
-
string device = 1;
- getDeviceBytes() - Method in interface org.tensorflow.framework.DeviceStepStatsOrBuilder
-
string device = 1;
- getDeviceBytes() - Method in class org.tensorflow.framework.NodeDef.Builder
-
A (possibly partial) specification for the device on which this
node should be placed.
- getDeviceBytes() - Method in class org.tensorflow.framework.NodeDef
-
A (possibly partial) specification for the device on which this
node should be placed.
- getDeviceBytes() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
A (possibly partial) specification for the device on which this
node should be placed.
- getDeviceBytes() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name for the device containing the resource.
- getDeviceBytes() - Method in class org.tensorflow.framework.ResourceHandleProto
-
Unique name for the device containing the resource.
- getDeviceBytes() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
Unique name for the device containing the resource.
- getDeviceForArray(INDArray) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method returns id of current device for a given INDArray
- getDeviceForArray(INDArray) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- getDeviceForCurrentThread() - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method returns deviceId for current thread
- getDeviceForCurrentThread() - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- getDeviceForThread(Thread) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method returns deviceId for specified thread
- getDeviceForThread(long) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method returns deviceId for specified threadId
- getDeviceForThread(Thread) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- getDeviceForThread(long) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- getDeviceId() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
- getDeviceOffset() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns current device memory offset within workspace
- getDevicePersistentMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
int64 device_persistent_memory_size = 16;
- getDevicePersistentMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
int64 device_persistent_memory_size = 16;
- getDevicePersistentMemorySize() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
int64 device_persistent_memory_size = 16;
- getDevicePersistentMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
int64 device_persistent_memory_size = 4;
- getDevicePersistentMemorySize() - Method in class org.tensorflow.framework.MemoryStats
-
int64 device_persistent_memory_size = 4;
- getDevicePersistentMemorySize() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder
-
int64 device_persistent_memory_size = 4;
- getDevicePersistentTensorAllocIds(int) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 device_persistent_tensor_alloc_ids = 6;
- getDevicePersistentTensorAllocIds(int) - Method in class org.tensorflow.framework.MemoryStats
-
repeated int64 device_persistent_tensor_alloc_ids = 6;
- getDevicePersistentTensorAllocIds(int) - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder
-
repeated int64 device_persistent_tensor_alloc_ids = 6;
- getDevicePersistentTensorAllocIdsCount() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 device_persistent_tensor_alloc_ids = 6;
- getDevicePersistentTensorAllocIdsCount() - Method in class org.tensorflow.framework.MemoryStats
-
repeated int64 device_persistent_tensor_alloc_ids = 6;
- getDevicePersistentTensorAllocIdsCount() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder
-
repeated int64 device_persistent_tensor_alloc_ids = 6;
- getDevicePersistentTensorAllocIdsList() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 device_persistent_tensor_alloc_ids = 6;
- getDevicePersistentTensorAllocIdsList() - Method in class org.tensorflow.framework.MemoryStats
-
repeated int64 device_persistent_tensor_alloc_ids = 6;
- getDevicePersistentTensorAllocIdsList() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder
-
repeated int64 device_persistent_tensor_alloc_ids = 6;
- getDeviceTempMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
int64 device_temp_memory_size = 11;
- getDeviceTempMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
int64 device_temp_memory_size = 11;
- getDeviceTempMemorySize() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
int64 device_temp_memory_size = 11;
- getDeviceTempMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
int64 device_temp_memory_size = 2;
- getDeviceTempMemorySize() - Method in class org.tensorflow.framework.MemoryStats
-
int64 device_temp_memory_size = 2;
- getDeviceTempMemorySize() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder
-
int64 device_temp_memory_size = 2;
- getDeviceType() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of device_type.
- getDeviceType() - Method in class org.tensorflow.framework.DeviceAttributes
-
String representation of device_type.
- getDeviceType() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder
-
String representation of device_type.
- getDeviceType() - Method in class org.tensorflow.framework.KernelDef.Builder
-
Type of device this kernel runs on.
- getDeviceType() - Method in class org.tensorflow.framework.KernelDef
-
Type of device this kernel runs on.
- getDeviceType() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
Type of device this kernel runs on.
- getDeviceTypeBytes() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of device_type.
- getDeviceTypeBytes() - Method in class org.tensorflow.framework.DeviceAttributes
-
String representation of device_type.
- getDeviceTypeBytes() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder
-
String representation of device_type.
- getDeviceTypeBytes() - Method in class org.tensorflow.framework.KernelDef.Builder
-
Type of device this kernel runs on.
- getDeviceTypeBytes() - Method in class org.tensorflow.framework.KernelDef
-
Type of device this kernel runs on.
- getDeviceTypeBytes() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
Type of device this kernel runs on.
- getDevStats(int) - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStats(int) - Method in class org.tensorflow.framework.StepStats
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStats(int) - Method in interface org.tensorflow.framework.StepStatsOrBuilder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsBuilder(int) - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsBuilderList() - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsCount() - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsCount() - Method in class org.tensorflow.framework.StepStats
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsCount() - Method in interface org.tensorflow.framework.StepStatsOrBuilder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsList() - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsList() - Method in class org.tensorflow.framework.StepStats
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsList() - Method in interface org.tensorflow.framework.StepStatsOrBuilder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsOrBuilder(int) - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsOrBuilder(int) - Method in class org.tensorflow.framework.StepStats
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsOrBuilder(int) - Method in interface org.tensorflow.framework.StepStatsOrBuilder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsOrBuilderList() - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsOrBuilderList() - Method in class org.tensorflow.framework.StepStats
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDevStatsOrBuilderList() - Method in interface org.tensorflow.framework.StepStatsOrBuilder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- getDim(int) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDim(int) - Method in class onnx.OnnxMlProto3.TensorShapeProto
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDim(int) - Method in interface onnx.OnnxMlProto3.TensorShapeProtoOrBuilder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDim(int) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDim(int) - Method in class onnx.OnnxProto3.TensorShapeProto
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDim(int) - Method in interface onnx.OnnxProto3.TensorShapeProtoOrBuilder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDim(int) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDim(int) - Method in class org.tensorflow.framework.TensorShapeProto
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDim(int) - Method in interface org.tensorflow.framework.TensorShapeProtoOrBuilder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimBuilder(int) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimBuilder(int) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimBuilder(int) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimBuilderList() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimBuilderList() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimBuilderList() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimCount() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimCount() - Method in class onnx.OnnxMlProto3.TensorShapeProto
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimCount() - Method in interface onnx.OnnxMlProto3.TensorShapeProtoOrBuilder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimCount() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimCount() - Method in class onnx.OnnxProto3.TensorShapeProto
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimCount() - Method in interface onnx.OnnxProto3.TensorShapeProtoOrBuilder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimCount() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimCount() - Method in class org.tensorflow.framework.TensorShapeProto
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimCount() - Method in interface org.tensorflow.framework.TensorShapeProtoOrBuilder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimension(INDArray, boolean) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Get the dimension associated with
the given ordering.
- getDimension() - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp
-
- getDimension() - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
-
- getDimension() - Method in interface org.nd4j.linalg.api.ops.BroadcastOp
-
Dimension to do the vector op along.
- getDimension() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- getDimList() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimList() - Method in class onnx.OnnxMlProto3.TensorShapeProto
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimList() - Method in interface onnx.OnnxMlProto3.TensorShapeProtoOrBuilder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimList() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimList() - Method in class onnx.OnnxProto3.TensorShapeProto
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimList() - Method in interface onnx.OnnxProto3.TensorShapeProtoOrBuilder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimList() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimList() - Method in class org.tensorflow.framework.TensorShapeProto
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimList() - Method in interface org.tensorflow.framework.TensorShapeProtoOrBuilder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimOrBuilder(int) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilder(int) - Method in class onnx.OnnxMlProto3.TensorShapeProto
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilder(int) - Method in interface onnx.OnnxMlProto3.TensorShapeProtoOrBuilder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilder(int) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilder(int) - Method in class onnx.OnnxProto3.TensorShapeProto
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilder(int) - Method in interface onnx.OnnxProto3.TensorShapeProtoOrBuilder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilder(int) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimOrBuilder(int) - Method in class org.tensorflow.framework.TensorShapeProto
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimOrBuilder(int) - Method in interface org.tensorflow.framework.TensorShapeProtoOrBuilder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimOrBuilderList() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilderList() - Method in class onnx.OnnxMlProto3.TensorShapeProto
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilderList() - Method in interface onnx.OnnxMlProto3.TensorShapeProtoOrBuilder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilderList() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilderList() - Method in class onnx.OnnxProto3.TensorShapeProto
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilderList() - Method in interface onnx.OnnxProto3.TensorShapeProtoOrBuilder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- getDimOrBuilderList() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimOrBuilderList() - Method in class org.tensorflow.framework.TensorShapeProto
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimOrBuilderList() - Method in interface org.tensorflow.framework.TensorShapeProtoOrBuilder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- getDimParam() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
namespace Shape
- getDimParam() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
-
namespace Shape
- getDimParam() - Method in interface onnx.OnnxMlProto3.TensorShapeProto.DimensionOrBuilder
-
namespace Shape
- getDimParam() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
namespace Shape
- getDimParam() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension
-
namespace Shape
- getDimParam() - Method in interface onnx.OnnxProto3.TensorShapeProto.DimensionOrBuilder
-
namespace Shape
- getDimParamBytes() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
namespace Shape
- getDimParamBytes() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
-
namespace Shape
- getDimParamBytes() - Method in interface onnx.OnnxMlProto3.TensorShapeProto.DimensionOrBuilder
-
namespace Shape
- getDimParamBytes() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
namespace Shape
- getDimParamBytes() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension
-
namespace Shape
- getDimParamBytes() - Method in interface onnx.OnnxProto3.TensorShapeProto.DimensionOrBuilder
-
namespace Shape
- getDims(int) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The shape of the tensor.
- getDims(int) - Method in class onnx.OnnxMlProto3.TensorProto
-
The shape of the tensor.
- getDims(int) - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
The shape of the tensor.
- getDims(int) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The shape of the tensor.
- getDims(int) - Method in class onnx.OnnxProto3.TensorProto
-
The shape of the tensor.
- getDims(int) - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
The shape of the tensor.
- getDimsCount() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The shape of the tensor.
- getDimsCount() - Method in class onnx.OnnxMlProto3.TensorProto
-
The shape of the tensor.
- getDimsCount() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
The shape of the tensor.
- getDimsCount() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The shape of the tensor.
- getDimsCount() - Method in class onnx.OnnxProto3.TensorProto
-
The shape of the tensor.
- getDimsCount() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
The shape of the tensor.
- getDimsList() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The shape of the tensor.
- getDimsList() - Method in class onnx.OnnxMlProto3.TensorProto
-
The shape of the tensor.
- getDimsList() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
The shape of the tensor.
- getDimsList() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The shape of the tensor.
- getDimsList() - Method in class onnx.OnnxProto3.TensorProto
-
The shape of the tensor.
- getDimsList() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
The shape of the tensor.
- getDimValue() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
int64 dim_value = 1;
- getDimValue() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
-
int64 dim_value = 1;
- getDimValue() - Method in interface onnx.OnnxMlProto3.TensorShapeProto.DimensionOrBuilder
-
int64 dim_value = 1;
- getDimValue() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
int64 dim_value = 1;
- getDimValue() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension
-
int64 dim_value = 1;
- getDimValue() - Method in interface onnx.OnnxProto3.TensorShapeProto.DimensionOrBuilder
-
int64 dim_value = 1;
- getDisplayName() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Display name for viewing in TensorBoard.
- getDisplayName() - Method in class org.tensorflow.framework.SummaryMetadata
-
Display name for viewing in TensorBoard.
- getDisplayName() - Method in interface org.tensorflow.framework.SummaryMetadataOrBuilder
-
Display name for viewing in TensorBoard.
- getDisplayNameBytes() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Display name for viewing in TensorBoard.
- getDisplayNameBytes() - Method in class org.tensorflow.framework.SummaryMetadata
-
Display name for viewing in TensorBoard.
- getDisplayNameBytes() - Method in interface org.tensorflow.framework.SummaryMetadataOrBuilder
-
Display name for viewing in TensorBoard.
- getDistributions() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the primary distributions
factory
- getDocString() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
A human-readable documentation for this attribute.
- getDocString() - Method in class onnx.OnnxMlProto3.AttributeProto
-
A human-readable documentation for this attribute.
- getDocString() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
A human-readable documentation for this attribute.
- getDocString() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A human-readable documentation for this graph.
- getDocString() - Method in class onnx.OnnxMlProto3.GraphProto
-
A human-readable documentation for this graph.
- getDocString() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
A human-readable documentation for this graph.
- getDocString() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
A human-readable documentation for this model.
- getDocString() - Method in class onnx.OnnxMlProto3.ModelProto
-
A human-readable documentation for this model.
- getDocString() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
A human-readable documentation for this model.
- getDocString() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
A human-readable documentation for this node.
- getDocString() - Method in class onnx.OnnxMlProto3.NodeProto
-
A human-readable documentation for this node.
- getDocString() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
A human-readable documentation for this node.
- getDocString() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
A human-readable documentation for this tensor.
- getDocString() - Method in class onnx.OnnxMlProto3.TensorProto
-
A human-readable documentation for this tensor.
- getDocString() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
A human-readable documentation for this tensor.
- getDocString() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
A human-readable documentation for this value.
- getDocString() - Method in class onnx.OnnxMlProto3.ValueInfoProto
-
A human-readable documentation for this value.
- getDocString() - Method in interface onnx.OnnxMlProto3.ValueInfoProtoOrBuilder
-
A human-readable documentation for this value.
- getDocString() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
A human-readable documentation for this operator.
- getDocString() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
A human-readable documentation for this operator.
- getDocString() - Method in interface onnx.OnnxOperatorsProto3.OperatorProtoOrBuilder
-
A human-readable documentation for this operator.
- getDocString() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
A human-readable documentation for this set of operators.
- getDocString() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
A human-readable documentation for this set of operators.
- getDocString() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
A human-readable documentation for this set of operators.
- getDocString() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
A human-readable documentation for this attribute.
- getDocString() - Method in class onnx.OnnxProto3.AttributeProto
-
A human-readable documentation for this attribute.
- getDocString() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
A human-readable documentation for this attribute.
- getDocString() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A human-readable documentation for this graph.
- getDocString() - Method in class onnx.OnnxProto3.GraphProto
-
A human-readable documentation for this graph.
- getDocString() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
A human-readable documentation for this graph.
- getDocString() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
A human-readable documentation for this model.
- getDocString() - Method in class onnx.OnnxProto3.ModelProto
-
A human-readable documentation for this model.
- getDocString() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
A human-readable documentation for this model.
- getDocString() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
A human-readable documentation for this node.
- getDocString() - Method in class onnx.OnnxProto3.NodeProto
-
A human-readable documentation for this node.
- getDocString() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
A human-readable documentation for this node.
- getDocString() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
A human-readable documentation for this tensor.
- getDocString() - Method in class onnx.OnnxProto3.TensorProto
-
A human-readable documentation for this tensor.
- getDocString() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
A human-readable documentation for this tensor.
- getDocString() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
A human-readable documentation for this value.
- getDocString() - Method in class onnx.OnnxProto3.ValueInfoProto
-
A human-readable documentation for this value.
- getDocString() - Method in interface onnx.OnnxProto3.ValueInfoProtoOrBuilder
-
A human-readable documentation for this value.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
A human-readable documentation for this attribute.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.AttributeProto
-
A human-readable documentation for this attribute.
- getDocStringBytes() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
A human-readable documentation for this attribute.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A human-readable documentation for this graph.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.GraphProto
-
A human-readable documentation for this graph.
- getDocStringBytes() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
A human-readable documentation for this graph.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
A human-readable documentation for this model.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.ModelProto
-
A human-readable documentation for this model.
- getDocStringBytes() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
A human-readable documentation for this model.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
A human-readable documentation for this node.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.NodeProto
-
A human-readable documentation for this node.
- getDocStringBytes() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
A human-readable documentation for this node.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
A human-readable documentation for this tensor.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.TensorProto
-
A human-readable documentation for this tensor.
- getDocStringBytes() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
A human-readable documentation for this tensor.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
A human-readable documentation for this value.
- getDocStringBytes() - Method in class onnx.OnnxMlProto3.ValueInfoProto
-
A human-readable documentation for this value.
- getDocStringBytes() - Method in interface onnx.OnnxMlProto3.ValueInfoProtoOrBuilder
-
A human-readable documentation for this value.
- getDocStringBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
A human-readable documentation for this operator.
- getDocStringBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
A human-readable documentation for this operator.
- getDocStringBytes() - Method in interface onnx.OnnxOperatorsProto3.OperatorProtoOrBuilder
-
A human-readable documentation for this operator.
- getDocStringBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
A human-readable documentation for this set of operators.
- getDocStringBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
A human-readable documentation for this set of operators.
- getDocStringBytes() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
A human-readable documentation for this set of operators.
- getDocStringBytes() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
A human-readable documentation for this attribute.
- getDocStringBytes() - Method in class onnx.OnnxProto3.AttributeProto
-
A human-readable documentation for this attribute.
- getDocStringBytes() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
A human-readable documentation for this attribute.
- getDocStringBytes() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A human-readable documentation for this graph.
- getDocStringBytes() - Method in class onnx.OnnxProto3.GraphProto
-
A human-readable documentation for this graph.
- getDocStringBytes() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
A human-readable documentation for this graph.
- getDocStringBytes() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
A human-readable documentation for this model.
- getDocStringBytes() - Method in class onnx.OnnxProto3.ModelProto
-
A human-readable documentation for this model.
- getDocStringBytes() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
A human-readable documentation for this model.
- getDocStringBytes() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
A human-readable documentation for this node.
- getDocStringBytes() - Method in class onnx.OnnxProto3.NodeProto
-
A human-readable documentation for this node.
- getDocStringBytes() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
A human-readable documentation for this node.
- getDocStringBytes() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
A human-readable documentation for this tensor.
- getDocStringBytes() - Method in class onnx.OnnxProto3.TensorProto
-
A human-readable documentation for this tensor.
- getDocStringBytes() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
A human-readable documentation for this tensor.
- getDocStringBytes() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
A human-readable documentation for this value.
- getDocStringBytes() - Method in class onnx.OnnxProto3.ValueInfoProto
-
A human-readable documentation for this value.
- getDocStringBytes() - Method in interface onnx.OnnxProto3.ValueInfoProtoOrBuilder
-
A human-readable documentation for this value.
- getDomain() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Domain name of the model.
- getDomain() - Method in class onnx.OnnxMlProto3.ModelProto
-
Domain name of the model.
- getDomain() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
Domain name of the model.
- getDomain() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomain() - Method in class onnx.OnnxMlProto3.NodeProto
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomain() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomain() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
The domain of the operator set being identified.
- getDomain() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto
-
The domain of the operator set being identified.
- getDomain() - Method in interface onnx.OnnxMlProto3.OperatorSetIdProtoOrBuilder
-
The domain of the operator set being identified.
- getDomain() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).
- getDomain() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).
- getDomain() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).
- getDomain() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Domain name of the model.
- getDomain() - Method in class onnx.OnnxProto3.ModelProto
-
Domain name of the model.
- getDomain() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
Domain name of the model.
- getDomain() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomain() - Method in class onnx.OnnxProto3.NodeProto
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomain() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomain() - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
The domain of the operator set being identified.
- getDomain() - Method in class onnx.OnnxProto3.OperatorSetIdProto
-
The domain of the operator set being identified.
- getDomain() - Method in interface onnx.OnnxProto3.OperatorSetIdProtoOrBuilder
-
The domain of the operator set being identified.
- getDomainBytes() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Domain name of the model.
- getDomainBytes() - Method in class onnx.OnnxMlProto3.ModelProto
-
Domain name of the model.
- getDomainBytes() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
Domain name of the model.
- getDomainBytes() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomainBytes() - Method in class onnx.OnnxMlProto3.NodeProto
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomainBytes() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomainBytes() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
The domain of the operator set being identified.
- getDomainBytes() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto
-
The domain of the operator set being identified.
- getDomainBytes() - Method in interface onnx.OnnxMlProto3.OperatorSetIdProtoOrBuilder
-
The domain of the operator set being identified.
- getDomainBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).
- getDomainBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).
- getDomainBytes() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).
- getDomainBytes() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Domain name of the model.
- getDomainBytes() - Method in class onnx.OnnxProto3.ModelProto
-
Domain name of the model.
- getDomainBytes() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
Domain name of the model.
- getDomainBytes() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomainBytes() - Method in class onnx.OnnxProto3.NodeProto
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomainBytes() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- getDomainBytes() - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
The domain of the operator set being identified.
- getDomainBytes() - Method in class onnx.OnnxProto3.OperatorSetIdProto
-
The domain of the operator set being identified.
- getDomainBytes() - Method in interface onnx.OnnxProto3.OperatorSetIdProtoOrBuilder
-
The domain of the operator set being identified.
- getDouble(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the elements at the the specified indices
- getDouble(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getDouble(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getDouble(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getDouble(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getDouble(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getDouble(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getDouble(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getDouble(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getDouble(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get a double value at the specified indices.
- getDouble(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get the double value at the specified linear index in the array
- getDouble(int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get the double value at the specified indices.
- getDouble(INDArray, int...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get a double based on the array and given indices
- getDoubleData(int) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleData(int) - Method in class onnx.OnnxMlProto3.TensorProto
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleData(int) - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleData(int) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleData(int) - Method in class onnx.OnnxProto3.TensorProto
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleData(int) - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleData(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Returns the double data
for this ndarray.
- getDoubleData(DataBuffer) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Returns the double data
for this buffer.
- getDoubleDataCount() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataCount() - Method in class onnx.OnnxMlProto3.TensorProto
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataCount() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataCount() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataCount() - Method in class onnx.OnnxProto3.TensorProto
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataCount() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataList() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataList() - Method in class onnx.OnnxMlProto3.TensorProto
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataList() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataList() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataList() - Method in class onnx.OnnxProto3.TensorProto
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleDataList() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getDoubleUnsafe(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getDoubleUnsafe(long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getDoubleUnsafe(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get a scalar
at the given linear offset
- getDoubleVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_DOUBLE.
- getDoubleVal(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_DOUBLE.
- getDoubleVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_DOUBLE.
- getDoubleValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_DOUBLE.
- getDoubleValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_DOUBLE.
- getDoubleValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_DOUBLE.
- getDoubleValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_DOUBLE.
- getDoubleValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_DOUBLE.
- getDoubleValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_DOUBLE.
- getDoubleValues() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
- getDtype() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.DataType dtype = 4;
- getDtype() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
.tensorflow.DataType dtype = 4;
- getDtype() - Method in interface org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder
-
.tensorflow.DataType dtype = 4;
- getDtype() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
.tensorflow.DataType dtype = 5;
- getDtype() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
-
.tensorflow.DataType dtype = 5;
- getDtype() - Method in interface org.tensorflow.framework.GraphTransferInfo.ConstNodeInfoOrBuilder
-
.tensorflow.DataType dtype = 5;
- getDtype() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- getDtype() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
-
.tensorflow.DataType dtype = 3;
- getDtype() - Method in interface org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfoOrBuilder
-
.tensorflow.DataType dtype = 3;
- getDtype() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- getDtype() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
-
.tensorflow.DataType dtype = 3;
- getDtype() - Method in interface org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfoOrBuilder
-
.tensorflow.DataType dtype = 3;
- getDtype() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.DataType dtype = 1;
- getDtype() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
.tensorflow.DataType dtype = 1;
- getDtype() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder
-
.tensorflow.DataType dtype = 1;
- getDtype() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Data type of tensor elements
- getDtype() - Method in class org.tensorflow.framework.TensorDescription
-
Data type of tensor elements
- getDtype() - Method in interface org.tensorflow.framework.TensorDescriptionOrBuilder
-
Data type of tensor elements
- getDtype() - Method in class org.tensorflow.framework.TensorProto.Builder
-
.tensorflow.DataType dtype = 1;
- getDtype() - Method in class org.tensorflow.framework.TensorProto
-
.tensorflow.DataType dtype = 1;
- getDtype() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.DataType dtype = 4;
- getDtypeValue() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
.tensorflow.DataType dtype = 4;
- getDtypeValue() - Method in interface org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder
-
.tensorflow.DataType dtype = 4;
- getDtypeValue() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
.tensorflow.DataType dtype = 5;
- getDtypeValue() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
-
.tensorflow.DataType dtype = 5;
- getDtypeValue() - Method in interface org.tensorflow.framework.GraphTransferInfo.ConstNodeInfoOrBuilder
-
.tensorflow.DataType dtype = 5;
- getDtypeValue() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- getDtypeValue() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
-
.tensorflow.DataType dtype = 3;
- getDtypeValue() - Method in interface org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfoOrBuilder
-
.tensorflow.DataType dtype = 3;
- getDtypeValue() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- getDtypeValue() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
-
.tensorflow.DataType dtype = 3;
- getDtypeValue() - Method in interface org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfoOrBuilder
-
.tensorflow.DataType dtype = 3;
- getDtypeValue() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Data type of tensor elements
- getDtypeValue() - Method in class org.tensorflow.framework.TensorDescription
-
Data type of tensor elements
- getDtypeValue() - Method in interface org.tensorflow.framework.TensorDescriptionOrBuilder
-
Data type of tensor elements
- getDtypeValue() - Method in class org.tensorflow.framework.TensorProto.Builder
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - Method in class org.tensorflow.framework.TensorProto
-
.tensorflow.DataType dtype = 1;
- getDtypeValue() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
.tensorflow.DataType dtype = 1;
- getEigenvalues() - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
- getEigenvectors() - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
- getElementName(int) - Method in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor
-
- getElemType() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
The type and optional shape of each element of the sequence.
- getElemType() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence
-
The type and optional shape of each element of the sequence.
- getElemType() - Method in interface onnx.OnnxMlProto3.TypeProto.SequenceOrBuilder
-
The type and optional shape of each element of the sequence.
- getElemType() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemType() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemType() - Method in interface onnx.OnnxMlProto3.TypeProto.TensorOrBuilder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemType() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemType() - Method in class onnx.OnnxProto3.TypeProto.Tensor
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemType() - Method in interface onnx.OnnxProto3.TypeProto.TensorOrBuilder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemTypeBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
The type and optional shape of each element of the sequence.
- getElemTypeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
The type and optional shape of each element of the sequence.
- getElemTypeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence
-
The type and optional shape of each element of the sequence.
- getElemTypeOrBuilder() - Method in interface onnx.OnnxMlProto3.TypeProto.SequenceOrBuilder
-
The type and optional shape of each element of the sequence.
- getElemTypeValue() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemTypeValue() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemTypeValue() - Method in interface onnx.OnnxMlProto3.TypeProto.TensorOrBuilder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemTypeValue() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemTypeValue() - Method in class onnx.OnnxProto3.TypeProto.Tensor
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getElemTypeValue() - Method in interface onnx.OnnxProto3.TypeProto.TensorOrBuilder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- getEncodedAudioString() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Encoded audio data and its associated RFC 2045 content type (e.g.
- getEncodedAudioString() - Method in class org.tensorflow.framework.Summary.Audio
-
Encoded audio data and its associated RFC 2045 content type (e.g.
- getEncodedAudioString() - Method in interface org.tensorflow.framework.Summary.AudioOrBuilder
-
Encoded audio data and its associated RFC 2045 content type (e.g.
- getEncodedImageString() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
Image data in encoded format.
- getEncodedImageString() - Method in class org.tensorflow.framework.Summary.Image
-
Image data in encoded format.
- getEncodedImageString() - Method in interface org.tensorflow.framework.Summary.ImageOrBuilder
-
Image data in encoded format.
- getEnd() - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
int64 end = 2;
- getEnd() - Method in class onnx.OnnxMlProto3.TensorProto.Segment
-
int64 end = 2;
- getEnd() - Method in interface onnx.OnnxMlProto3.TensorProto.SegmentOrBuilder
-
int64 end = 2;
- getEnd() - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
int64 end = 2;
- getEnd() - Method in class onnx.OnnxProto3.TensorProto.Segment
-
int64 end = 2;
- getEnd() - Method in interface onnx.OnnxProto3.TensorProto.SegmentOrBuilder
-
int64 end = 2;
- getEndpoint(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpoint(int) - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpoint(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointCount() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointCount() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointCount() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointList() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointOrBuilder(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointOrBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointOrBuilderList() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEndpointOrBuilderList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- getEntries() - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
-
- getEntry(int, int) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
-
Get entry i,j in the matrix
- getEntryName() - Method in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor
-
- getEnvironment() - Static method in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- getEnvironmentInformation() - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
-
This method return set of key/value and
key/key/value objects,
describing current environment
- getEnvironmentInformation() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
This method return set of key/value and key/key/value objects, describing current environment
- getEnvironmentInformation() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method return set of key/value and
key/key/value objects,
describing current environment
- getEpsRelativeTo(INDArray) - Static method in class org.nd4j.finitedifferences.TwoPointApproximation
-
- getErrorCode() - Method in error org.nd4j.linalg.api.blas.BlasException
-
- getExampleMetaData(Class<T>) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Get the example metadata, or null if no metadata has been set
Note: this method results in an unchecked cast - care should be taken when using this!
- getExampleMetaData() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Get the example metadata, or null if no metadata has been set
- getExampleMetaData(Class<T>) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get the example metadata, or null if no metadata has been set
Note: this method results in an unchecked cast - care should be taken when using this!
- getExampleMetaData() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get the example metadata, or null if no metadata has been set
- getExampleMetaData() - Method in class org.nd4j.linalg.dataset.DataSet
-
- getExampleMetaData(Class<T>) - Method in class org.nd4j.linalg.dataset.DataSet
-
- getExampleMetaData() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getExampleMetaData(Class<T>) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getExecutioner() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the operation executioner instance
- getExecutionerType() - Method in class org.nd4j.autodiff.execution.BasicGraphExecutioner
-
This method returns Type of this executioner
- getExecutionerType() - Method in interface org.nd4j.autodiff.execution.GraphExecutioner
-
This method returns Type of this executioner
- getExecutorName() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Executor's name
- getExecutorName() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Executor's name
- getExecutorName() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Executor's name
- getExecutorNameBytes() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Executor's name
- getExecutorNameBytes() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Executor's name
- getExecutorNameBytes() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Executor's name
- getExecutorService() - Static method in class org.nd4j.linalg.executors.ExecutorServiceProvider
-
- getExplanation() - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
Explanation of why it was deprecated and what to use instead.
- getExplanation() - Method in class org.tensorflow.framework.OpDeprecation
-
Explanation of why it was deprecated and what to use instead.
- getExplanation() - Method in interface org.tensorflow.framework.OpDeprecationOrBuilder
-
Explanation of why it was deprecated and what to use instead.
- getExplanationBytes() - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
Explanation of why it was deprecated and what to use instead.
- getExplanationBytes() - Method in class org.tensorflow.framework.OpDeprecation
-
Explanation of why it was deprecated and what to use instead.
- getExplanationBytes() - Method in interface org.tensorflow.framework.OpDeprecationOrBuilder
-
Explanation of why it was deprecated and what to use instead.
- getExtent(int) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- getExtent(int) - Method in class org.tensorflow.framework.TensorSliceProto
-
Extent of the slice in all tensor dimensions.
- getExtent(int) - Method in interface org.tensorflow.framework.TensorSliceProtoOrBuilder
-
Extent of the slice in all tensor dimensions.
- getExtentBuilder(int) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- getExtentBuilderList() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- getExtentCount() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- getExtentCount() - Method in class org.tensorflow.framework.TensorSliceProto
-
Extent of the slice in all tensor dimensions.
- getExtentCount() - Method in interface org.tensorflow.framework.TensorSliceProtoOrBuilder
-
Extent of the slice in all tensor dimensions.
- getExtentList() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- getExtentList() - Method in class org.tensorflow.framework.TensorSliceProto
-
Extent of the slice in all tensor dimensions.
- getExtentList() - Method in interface org.tensorflow.framework.TensorSliceProtoOrBuilder
-
Extent of the slice in all tensor dimensions.
- getExtentOrBuilder(int) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- getExtentOrBuilder(int) - Method in class org.tensorflow.framework.TensorSliceProto
-
Extent of the slice in all tensor dimensions.
- getExtentOrBuilder(int) - Method in interface org.tensorflow.framework.TensorSliceProtoOrBuilder
-
Extent of the slice in all tensor dimensions.
- getExtentOrBuilderList() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- getExtentOrBuilderList() - Method in class org.tensorflow.framework.TensorSliceProto
-
Extent of the slice in all tensor dimensions.
- getExtentOrBuilderList() - Method in interface org.tensorflow.framework.TensorSliceProtoOrBuilder
-
Extent of the slice in all tensor dimensions.
- getF() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
Exactly ONE of the following fields must be present for this version of the IR
- getF() - Method in class onnx.OnnxMlProto3.AttributeProto
-
Exactly ONE of the following fields must be present for this version of the IR
- getF() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
Exactly ONE of the following fields must be present for this version of the IR
- getF() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
Exactly ONE of the following fields must be present for this version of the IR
- getF() - Method in class onnx.OnnxProto3.AttributeProto
-
Exactly ONE of the following fields must be present for this version of the IR
- getF() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
Exactly ONE of the following fields must be present for this version of the IR
- getF() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"float"
- getF() - Method in class org.tensorflow.framework.AttrValue
-
"float"
- getF(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(float)"
- getF(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(float)"
- getF(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(float)"
- getF() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"float"
- getFalseBody() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.IfDerivative
-
- getFalseBodyExecution() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.IfDerivative
-
- getFalseBodyName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.IfDerivative
-
- getFCount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(float)"
- getFCount() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(float)"
- getFCount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(float)"
- getFeatureMatrix() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getFeatureMatrix() - Method in class org.nd4j.linalg.dataset.DataSet
-
Get the feature matrix (inputs for the data)
- getFeatureMean(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
-
- getFeatures() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Returns the features array for the DataSet
- getFeatures() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get all of the input features, as an array of INDArrays
- getFeatures(int) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get a single feature/input array
- getFeatures() - Method in class org.nd4j.linalg.dataset.DataSet
-
- getFeatures() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getFeatures(int) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getFeaturesMaskArray() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Input mask array: a mask array for input, where each value is in {0,1} in order to specify whether an input is
actually present or not.
- getFeaturesMaskArray(int) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get the specified feature mask array.
- getFeaturesMaskArray() - Method in class org.nd4j.linalg.dataset.DataSet
-
- getFeaturesMaskArray(int) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getFeaturesMaskArrays() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get the feature mask arrays.
- getFeaturesMaskArrays() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getFeatureStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
- getFeatureStats(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- getFeatureStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- getFeatureStd(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
-
- getFieldsForFunction(DifferentialFunction) - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder
-
- getFinalResult() - Method in interface org.nd4j.linalg.api.ops.Accumulation
-
Get the final result (may return null if getAndSetFinalResult has not
been called, or for accumulation ops on complex arrays)
- getFinalResult() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- getFinalResult() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- getFinalResult() - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- getFinalResult() - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation
-
- getFinalResult() - Method in class org.nd4j.linalg.api.ops.impl.accum.AMin
-
- getFinalResult() - Method in interface org.nd4j.linalg.api.ops.IndexAccumulation
-
Get the final result of the IndexAccumulation
- getFirstOp() - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- getFirstOp() - Method in interface org.nd4j.linalg.api.ops.MetaOp
-
- getFirstOpDescriptor() - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- getFirstOpDescriptor() - Method in interface org.nd4j.linalg.api.ops.MetaOp
-
- getFlatConfiguration(FlatBufferBuilder) - Method in class org.nd4j.autodiff.execution.conf.ExecutorConfiguration
-
This method
- getFlatOpType(Op.Type) - Static method in class org.nd4j.autodiff.samediff.SameDiff
-
This method converts enums for DataType
- getFList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(float)"
- getFList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(float)"
- getFList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(float)"
- getFloat(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the elements at the the specified indices
- getFloat(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getFloat(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getFloat(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getFloat(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getFloat(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getFloat(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getFloat(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getFloat(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getFloat(int[]) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the elements at the the specified indices
- getFloat(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Return the item at the linear index i
- getFloat(int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Return the item at row i column j
Note that this is the same as calling getScalar(new int[]{i,j}
- getFloatData(int) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatData(int) - Method in class onnx.OnnxMlProto3.TensorProto
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatData(int) - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatData(int) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatData(int) - Method in class onnx.OnnxProto3.TensorProto
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatData(int) - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatData(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Returns the float data
for this ndarray.
- getFloatData(DataBuffer) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Returns the float data
for this buffer.
- getFloatDataCount() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataCount() - Method in class onnx.OnnxMlProto3.TensorProto
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataCount() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataCount() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataCount() - Method in class onnx.OnnxProto3.TensorProto
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataCount() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataList() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataList() - Method in class onnx.OnnxMlProto3.TensorProto
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataList() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataList() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataList() - Method in class onnx.OnnxProto3.TensorProto
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloatDataList() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- getFloats(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of floats
- getFloats(int) - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of floats
- getFloats(int) - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of floats
- getFloats(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of floats
- getFloats(int) - Method in class onnx.OnnxProto3.AttributeProto
-
list of floats
- getFloats(int) - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of floats
- getFloatsCount() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of floats
- getFloatsCount() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of floats
- getFloatsCount() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of floats
- getFloatsCount() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of floats
- getFloatsCount() - Method in class onnx.OnnxProto3.AttributeProto
-
list of floats
- getFloatsCount() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of floats
- getFloatsList() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of floats
- getFloatsList() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of floats
- getFloatsList() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of floats
- getFloatsList() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of floats
- getFloatsList() - Method in class onnx.OnnxProto3.AttributeProto
-
list of floats
- getFloatsList() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of floats
- getFloatVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_FLOAT.
- getFloatVal(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_FLOAT.
- getFloatVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_FLOAT.
- getFloatValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_FLOAT.
- getFloatValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_FLOAT.
- getFloatValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_FLOAT.
- getFloatValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_FLOAT.
- getFloatValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_FLOAT.
- getFloatValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_FLOAT.
- getForkJoinPool() - Static method in class org.nd4j.linalg.executors.ExecutorServiceProvider
-
- getFormat() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getFormat() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getFormat() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
- getFormat() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Return the sparse format (i.e COO, CSR, ...)
- getFormat() - Method in interface org.nd4j.linalg.api.ndarray.ISparseNDArray
-
Return the sparse format (i.e COO, CSR, ...)
- getForwardVariableForVertexId(int) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get the forward variable for gradient
based on the gradient's vertex id
- getFrameName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp
-
- getFrom() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
-
string from = 1;
- getFrom() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename
-
string from = 1;
- getFrom() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverride.RenameOrBuilder
-
string from = 1;
- getFromBytes() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
-
string from = 1;
- getFromBytes() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename
-
string from = 1;
- getFromBytes() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverride.RenameOrBuilder
-
string from = 1;
- getFullName() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Name of the full variable of which this is a slice.
- getFullName() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Name of the full variable of which this is a slice.
- getFullName() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Name of the full variable of which this is a slice.
- getFullNameBytes() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Name of the full variable of which this is a slice.
- getFullNameBytes() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Name of the full variable of which this is a slice.
- getFullNameBytes() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Name of the full variable of which this is a slice.
- getFullShape(int) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of the full variable.
- getFullShape(int) - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Shape of the full variable.
- getFullShape(int) - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Shape of the full variable.
- getFullShapeCount() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of the full variable.
- getFullShapeCount() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Shape of the full variable.
- getFullShapeCount() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Shape of the full variable.
- getFullShapeList() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of the full variable.
- getFullShapeList() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Shape of the full variable.
- getFullShapeList() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Shape of the full variable.
- getFunc() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"func" represents a function.
- getFunc() - Method in class org.tensorflow.framework.AttrValue
-
"func" represents a function.
- getFunc(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- getFunc(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(attr)"
- getFunc(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(attr)"
- getFunc() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"func" represents a function.
- getFuncBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"func" represents a function.
- getFuncBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- getFuncBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- getFuncCount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- getFuncCount() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(attr)"
- getFuncCount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(attr)"
- getFuncList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- getFuncList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(attr)"
- getFuncList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(attr)"
- getFuncOrBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"func" represents a function.
- getFuncOrBuilder() - Method in class org.tensorflow.framework.AttrValue
-
"func" represents a function.
- getFuncOrBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- getFuncOrBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(attr)"
- getFuncOrBuilder(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(attr)"
- getFuncOrBuilder() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"func" represents a function.
- getFuncOrBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- getFuncOrBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(attr)"
- getFuncOrBuilderList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(attr)"
- getFunction(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get a function instance
given the opName
- getFunction(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunction(int) - Method in class org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.FunctionDef function = 1;
- getFunction(int) - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionBuilderList() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionById(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get the function by the DifferentialFunction#getOwnName()
- getFunctionCount() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionCount() - Method in class org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionCount() - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionList() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionList() - Method in class org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionList() - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionName() - Method in class org.tensorflow.framework.GradientDef.Builder
-
The function name.
- getFunctionName() - Method in class org.tensorflow.framework.GradientDef
-
The function name.
- getFunctionName() - Method in interface org.tensorflow.framework.GradientDefOrBuilder
-
The function name.
- getFunctionNameBytes() - Method in class org.tensorflow.framework.GradientDef.Builder
-
The function name.
- getFunctionNameBytes() - Method in class org.tensorflow.framework.GradientDef
-
The function name.
- getFunctionNameBytes() - Method in interface org.tensorflow.framework.GradientDefOrBuilder
-
The function name.
- getFunctionOrBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionOrBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionOrBuilder(int) - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionOrBuilderList() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionOrBuilderList() - Method in class org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.FunctionDef function = 1;
- getFunctionOrBuilderList() - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.FunctionDef function = 1;
- getG() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
graph
- getG() - Method in class onnx.OnnxMlProto3.AttributeProto
-
graph
- getG() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
graph
- getG() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
graph
- getG() - Method in class onnx.OnnxProto3.AttributeProto
-
graph
- getG() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
graph
- getGBuilder() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
graph
- getGBuilder() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
graph
- getGenerationId() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
- getGenerationId() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- getGOrBuilder() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
graph
- getGOrBuilder() - Method in class onnx.OnnxMlProto3.AttributeProto
-
graph
- getGOrBuilder() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
graph
- getGOrBuilder() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
graph
- getGOrBuilder() - Method in class onnx.OnnxProto3.AttributeProto
-
graph
- getGOrBuilder() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
graph
- getGradForVariable(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get the gradient for the given vertex id
- getGradient() - Method in class org.nd4j.autodiff.samediff.SDVariable
-
A getter for the variable gradient.
- getGradient(INDArray, int) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad
-
Gets feature specific learning rates
Adagrad keeps a history of gradients being passed in.
- getGradient(double, int, int[]) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- getGradient(INDArray, int, int[]) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- getGradient(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradient(int) - Method in class org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradient(int) - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientBuilderList() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientCount() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientCount() - Method in class org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientCount() - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientFunc() - Method in class org.tensorflow.framework.GradientDef.Builder
-
The gradient function's name.
- getGradientFunc() - Method in class org.tensorflow.framework.GradientDef
-
The gradient function's name.
- getGradientFunc() - Method in interface org.tensorflow.framework.GradientDefOrBuilder
-
The gradient function's name.
- getGradientFuncBytes() - Method in class org.tensorflow.framework.GradientDef.Builder
-
The gradient function's name.
- getGradientFuncBytes() - Method in class org.tensorflow.framework.GradientDef
-
The gradient function's name.
- getGradientFuncBytes() - Method in interface org.tensorflow.framework.GradientDefOrBuilder
-
The gradient function's name.
- getGradientList() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientList() - Method in class org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientList() - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientOrBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientOrBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientOrBuilder(int) - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientOrBuilderList() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientOrBuilderList() - Method in class org.tensorflow.framework.FunctionDefLibrary
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientOrBuilderList() - Method in interface org.tensorflow.framework.FunctionDefLibraryOrBuilder
-
repeated .tensorflow.GradientDef gradient = 2;
- getGradientViewArray() - Method in class org.nd4j.linalg.activations.BaseActivationFunction
-
- getGradientViewArray() - Method in interface org.nd4j.linalg.activations.IActivation
-
- getGraph() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- getGraph() - Method in class onnx.OnnxMlProto3.ModelProto
-
The parameterized graph that is evaluated to execute the model.
- getGraph() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The parameterized graph that is evaluated to execute the model.
- getGraph() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- getGraph() - Method in class onnx.OnnxProto3.ModelProto
-
The parameterized graph that is evaluated to execute the model.
- getGraph() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The parameterized graph that is evaluated to execute the model.
- getGraphBuilder() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- getGraphBuilder() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- getGraphInputNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
Input Node parameters of transferred graph
- getGraphInputNodeInfo(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoCount() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoOrBuilder(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
Input Node parameters of transferred graph
- getGraphInputNodeInfoOrBuilderList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
Input Node parameters of transferred graph
- getGraphInputNodeName(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph input node name
- getGraphInputNodeName(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph input node name
- getGraphInputNodeName(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph input node name
- getGraphInputNodeNameBytes(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph input node name
- getGraphInputNodeNameBytes(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph input node name
- getGraphInputNodeNameBytes(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph input node name
- getGraphInputNodeNameCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph input node name
- getGraphInputNodeNameCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph input node name
- getGraphInputNodeNameCount() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph input node name
- getGraphInputNodeNameList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph input node name
- getGraphInputNodeNameList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph input node name
- getGraphInputNodeNameList() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph input node name
- getGraphOpName() - Method in class org.tensorflow.framework.ApiDef.Builder
-
Name of the op (in the OpDef) to specify the API for.
- getGraphOpName() - Method in class org.tensorflow.framework.ApiDef
-
Name of the op (in the OpDef) to specify the API for.
- getGraphOpName() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
Name of the op (in the OpDef) to specify the API for.
- getGraphOpNameBytes() - Method in class org.tensorflow.framework.ApiDef.Builder
-
Name of the op (in the OpDef) to specify the API for.
- getGraphOpNameBytes() - Method in class org.tensorflow.framework.ApiDef
-
Name of the op (in the OpDef) to specify the API for.
- getGraphOpNameBytes() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
Name of the op (in the OpDef) to specify the API for.
- getGraphOrBuilder() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- getGraphOrBuilder() - Method in class onnx.OnnxMlProto3.ModelProto
-
The parameterized graph that is evaluated to execute the model.
- getGraphOrBuilder() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The parameterized graph that is evaluated to execute the model.
- getGraphOrBuilder() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- getGraphOrBuilder() - Method in class onnx.OnnxProto3.ModelProto
-
The parameterized graph that is evaluated to execute the model.
- getGraphOrBuilder() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The parameterized graph that is evaluated to execute the model.
- getGraphOutputNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfo(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoCount() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoOrBuilder(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeInfoOrBuilderList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- getGraphOutputNodeName(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph output node name
- getGraphOutputNodeName(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph output node name
- getGraphOutputNodeName(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph output node name
- getGraphOutputNodeNameBytes(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph output node name
- getGraphOutputNodeNameBytes(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph output node name
- getGraphOutputNodeNameBytes(int) - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph output node name
- getGraphOutputNodeNameCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph output node name
- getGraphOutputNodeNameCount() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph output node name
- getGraphOutputNodeNameCount() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph output node name
- getGraphOutputNodeNameList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph output node name
- getGraphOutputNodeNameList() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Remote fused graph output node name
- getGraphOutputNodeNameList() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Remote fused graph output node name
- getGraphs(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- getGraphs(int) - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of graph
- getGraphs(int) - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of graph
- getGraphs(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- getGraphs(int) - Method in class onnx.OnnxProto3.AttributeProto
-
list of graph
- getGraphs(int) - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of graph
- getGraphsBuilder(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- getGraphsBuilder(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- getGraphsBuilderList() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- getGraphsBuilderList() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- getGraphsCount() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- getGraphsCount() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of graph
- getGraphsCount() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of graph
- getGraphsCount() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- getGraphsCount() - Method in class onnx.OnnxProto3.AttributeProto
-
list of graph
- getGraphsCount() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of graph
- getGraphsList() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- getGraphsList() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of graph
- getGraphsList() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of graph
- getGraphsList() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- getGraphsList() - Method in class onnx.OnnxProto3.AttributeProto
-
list of graph
- getGraphsList() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of graph
- getGraphsOrBuilder(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- getGraphsOrBuilder(int) - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of graph
- getGraphsOrBuilder(int) - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of graph
- getGraphsOrBuilder(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- getGraphsOrBuilder(int) - Method in class onnx.OnnxProto3.AttributeProto
-
list of graph
- getGraphsOrBuilder(int) - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of graph
- getGraphsOrBuilderList() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- getGraphsOrBuilderList() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of graph
- getGraphsOrBuilderList() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of graph
- getGraphsOrBuilderList() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- getGraphsOrBuilderList() - Method in class onnx.OnnxProto3.AttributeProto
-
list of graph
- getGraphsOrBuilderList() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of graph
- getGridDescriptor() - Method in interface org.nd4j.linalg.api.ops.GridOp
-
- getGridDescriptor() - Method in class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp
-
- getHalfVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_HALF.
- getHalfVal(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_HALF.
- getHalfVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_HALF.
- getHalfValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_HALF.
- getHalfValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_HALF.
- getHalfValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_HALF.
- getHalfValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_HALF.
- getHalfValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_HALF.
- getHalfValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_HALF.
- getHandle() - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
Handle describing the feeds and fetches of the step.
- getHandle() - Method in class org.tensorflow.framework.MemoryLogStep
-
Handle describing the feeds and fetches of the step.
- getHandle() - Method in interface org.tensorflow.framework.MemoryLogStepOrBuilder
-
Handle describing the feeds and fetches of the step.
- getHandleBytes() - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
Handle describing the feeds and fetches of the step.
- getHandleBytes() - Method in class org.tensorflow.framework.MemoryLogStep
-
Handle describing the feeds and fetches of the step.
- getHandleBytes() - Method in interface org.tensorflow.framework.MemoryLogStepOrBuilder
-
Handle describing the feeds and fetches of the step.
- getHashCode() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Hash code for the type of the resource.
- getHashCode() - Method in class org.tensorflow.framework.ResourceHandleProto
-
Hash code for the type of the resource.
- getHashCode() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
Hash code for the type of the resource.
- getHasLengthCase() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- getHasLengthCase() - Method in class org.tensorflow.framework.TensorSliceProto.Extent
-
- getHasLengthCase() - Method in interface org.tensorflow.framework.TensorSliceProto.ExtentOrBuilder
-
- getHasMinimum() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
For type == "int", this is a minimum value.
- getHasMinimum() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
For type == "int", this is a minimum value.
- getHasMinimum() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
For type == "int", this is a minimum value.
- getHasSingleReference() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Set if this tensor only has one remaining reference
- getHasSingleReference() - Method in class org.tensorflow.framework.AllocationDescription
-
Set if this tensor only has one remaining reference
- getHasSingleReference() - Method in interface org.tensorflow.framework.AllocationDescriptionOrBuilder
-
Set if this tensor only has one remaining reference
- getHeight() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
Dimensions of the image.
- getHeight() - Method in class org.tensorflow.framework.Summary.Image
-
Dimensions of the image.
- getHeight() - Method in interface org.tensorflow.framework.Summary.ImageOrBuilder
-
Dimensions of the image.
- getHide() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Hide this op by putting it into an internal namespace (or whatever
is appropriate in the target language).
- getHide() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
Hide this op by putting it into an internal namespace (or whatever
is appropriate in the target language).
- getHide() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
Hide this op by putting it into an internal namespace (or whatever
is appropriate in the target language).
- getHisto() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.HistogramProto histo = 5;
- getHisto() - Method in class org.tensorflow.framework.Summary.Value
-
.tensorflow.HistogramProto histo = 5;
- getHisto() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.HistogramProto histo = 5;
- getHistoBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.HistogramProto histo = 5;
- getHistoOrBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.HistogramProto histo = 5;
- getHistoOrBuilder() - Method in class org.tensorflow.framework.Summary.Value
-
.tensorflow.HistogramProto histo = 5;
- getHistoOrBuilder() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.HistogramProto histo = 5;
- getHostMemoryArg(int) - Method in class org.tensorflow.framework.KernelDef.Builder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArg(int) - Method in class org.tensorflow.framework.KernelDef
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArg(int) - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgBytes(int) - Method in class org.tensorflow.framework.KernelDef.Builder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgBytes(int) - Method in class org.tensorflow.framework.KernelDef
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgBytes(int) - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgCount() - Method in class org.tensorflow.framework.KernelDef.Builder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgCount() - Method in class org.tensorflow.framework.KernelDef
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgCount() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgList() - Method in class org.tensorflow.framework.KernelDef.Builder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgList() - Method in class org.tensorflow.framework.KernelDef
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostMemoryArgList() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- getHostOffset() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns current host memory offset within workspace
- getHostPersistentMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
int64 host_persistent_memory_size = 12;
- getHostPersistentMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
int64 host_persistent_memory_size = 12;
- getHostPersistentMemorySize() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
int64 host_persistent_memory_size = 12;
- getHostPersistentMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
int64 host_persistent_memory_size = 3;
- getHostPersistentMemorySize() - Method in class org.tensorflow.framework.MemoryStats
-
int64 host_persistent_memory_size = 3;
- getHostPersistentMemorySize() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder
-
int64 host_persistent_memory_size = 3;
- getHostPersistentTensorAllocIds(int) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 host_persistent_tensor_alloc_ids = 5;
- getHostPersistentTensorAllocIds(int) - Method in class org.tensorflow.framework.MemoryStats
-
repeated int64 host_persistent_tensor_alloc_ids = 5;
- getHostPersistentTensorAllocIds(int) - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder
-
repeated int64 host_persistent_tensor_alloc_ids = 5;
- getHostPersistentTensorAllocIdsCount() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 host_persistent_tensor_alloc_ids = 5;
- getHostPersistentTensorAllocIdsCount() - Method in class org.tensorflow.framework.MemoryStats
-
repeated int64 host_persistent_tensor_alloc_ids = 5;
- getHostPersistentTensorAllocIdsCount() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder
-
repeated int64 host_persistent_tensor_alloc_ids = 5;
- getHostPersistentTensorAllocIdsList() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 host_persistent_tensor_alloc_ids = 5;
- getHostPersistentTensorAllocIdsList() - Method in class org.tensorflow.framework.MemoryStats
-
repeated int64 host_persistent_tensor_alloc_ids = 5;
- getHostPersistentTensorAllocIdsList() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder
-
repeated int64 host_persistent_tensor_alloc_ids = 5;
- getHostTempMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
int64 host_temp_memory_size = 10;
- getHostTempMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
int64 host_temp_memory_size = 10;
- getHostTempMemorySize() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
int64 host_temp_memory_size = 10;
- getHostTempMemorySize() - Method in class org.tensorflow.framework.MemoryStats.Builder
-
int64 host_temp_memory_size = 1;
- getHostTempMemorySize() - Method in class org.tensorflow.framework.MemoryStats
-
int64 host_temp_memory_size = 1;
- getHostTempMemorySize() - Method in interface org.tensorflow.framework.MemoryStatsOrBuilder
-
int64 host_temp_memory_size = 1;
- getI() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
int
- getI() - Method in class onnx.OnnxMlProto3.AttributeProto
-
int
- getI() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
int
- getI() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
int
- getI() - Method in class onnx.OnnxProto3.AttributeProto
-
int
- getI() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
int
- getI() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"int"
- getI() - Method in class org.tensorflow.framework.AttrValue
-
"int"
- getI(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(int)"
- getI(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(int)"
- getI(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(int)"
- getI() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"int"
- getIArgument(int) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- getIArgument(int) - Method in interface org.nd4j.linalg.api.ops.CustomOp
-
- getIArgument(int) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- getIArgument(int) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
-
- getIArgument(int) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
-
- getICount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(int)"
- getICount() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(int)"
- getICount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(int)"
- getId() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- getId() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method returns Id of this workspace
- getId() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The id of the node.
- getId() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
The id of the node.
- getId() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
The id of the node.
- getIList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(int)"
- getIList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(int)"
- getIList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(int)"
- getILossFunction() - Method in enum org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction
-
- getImag(int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- getImag(int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Get the imaginary component at the specified index
- getImage() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Image image = 4;
- getImage() - Method in class org.tensorflow.framework.Summary.Value
-
.tensorflow.Summary.Image image = 4;
- getImage() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.Summary.Image image = 4;
- getImageBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Image image = 4;
- getImageOrBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Image image = 4;
- getImageOrBuilder() - Method in class org.tensorflow.framework.Summary.Value
-
.tensorflow.Summary.Image image = 4;
- getImageOrBuilder() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.Summary.Image image = 4;
- getInArg(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArg(int) - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArg(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgCount() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgCount() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgCount() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgList() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgOrBuilder(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgOrBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgOrBuilderList() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getInArgOrBuilderList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- getIncarnation() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
A device is assigned a global unique number each time it is
initialized.
- getIncarnation() - Method in class org.tensorflow.framework.DeviceAttributes
-
A device is assigned a global unique number each time it is
initialized.
- getIncarnation() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder
-
A device is assigned a global unique number each time it is
initialized.
- getIncludedIndices() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Return a copy of the indices included in the view.
- getIncludedValues() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Return a copy of the values included in the array.
- getIndex() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Index of the output being set.
- getIndex() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
-
Index of the output being set.
- getIndex() - Method in interface org.tensorflow.framework.MemoryLogTensorOutputOrBuilder
-
Index of the output being set.
- getIndexingArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- getIndexingArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- getIndices() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getIndicesOf(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Returns the indices of the element of the given index in the array context
- getInitialBlockSize() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of bytes for first block of circular workspace.
- getInitializer(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializer(int) - Method in class onnx.OnnxMlProto3.GraphProto
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializer(int) - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializer(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializer(int) - Method in class onnx.OnnxProto3.GraphProto
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializer(int) - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerBuilderList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerCount() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerCount() - Method in class onnx.OnnxMlProto3.GraphProto
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerCount() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerCount() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerCount() - Method in class onnx.OnnxProto3.GraphProto
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerCount() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerList() - Method in class onnx.OnnxMlProto3.GraphProto
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerList() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerList() - Method in class onnx.OnnxProto3.GraphProto
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerList() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerName() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the initializer op.
- getInitializerName() - Method in class org.tensorflow.framework.VariableDef
-
Name of the initializer op.
- getInitializerName() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Name of the initializer op.
- getInitializerNameBytes() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the initializer op.
- getInitializerNameBytes() - Method in class org.tensorflow.framework.VariableDef
-
Name of the initializer op.
- getInitializerNameBytes() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Name of the initializer op.
- getInitializerOrBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilder(int) - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilder(int) - Method in class onnx.OnnxProto3.GraphProto
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilder(int) - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilderList() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilderList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilderList() - Method in class onnx.OnnxProto3.GraphProto
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitializerOrBuilderList() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- getInitialValueName() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the tensor holding the variable's initial value.
- getInitialValueName() - Method in class org.tensorflow.framework.VariableDef
-
Name of the tensor holding the variable's initial value.
- getInitialValueName() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Name of the tensor holding the variable's initial value.
- getInitialValueNameBytes() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the tensor holding the variable's initial value.
- getInitialValueNameBytes() - Method in class org.tensorflow.framework.VariableDef
-
Name of the tensor holding the variable's initial value.
- getInitialValueNameBytes() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Name of the tensor holding the variable's initial value.
- getInput(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInput(int) - Method in class onnx.OnnxMlProto3.GraphProto
-
The inputs and outputs of the graph.
- getInput(int) - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The inputs and outputs of the graph.
- getInput(int) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- getInput(int) - Method in class onnx.OnnxMlProto3.NodeProto
-
namespace Value
- getInput(int) - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
namespace Value
- getInput(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInput(int) - Method in class onnx.OnnxProto3.GraphProto
-
The inputs and outputs of the graph.
- getInput(int) - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The inputs and outputs of the graph.
- getInput(int) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- getInput(int) - Method in class onnx.OnnxProto3.NodeProto
-
namespace Value
- getInput(int) - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
namespace Value
- getInput(int) - Method in class org.tensorflow.framework.NodeDef.Builder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInput(int) - Method in class org.tensorflow.framework.NodeDef
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInput(int) - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputArg(int) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- getInputArg(int) - Method in class org.tensorflow.framework.OpDef
-
Description of the input(s).
- getInputArg(int) - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Description of the input(s).
- getInputArgBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- getInputArgBuilderList() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- getInputArgCount() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- getInputArgCount() - Method in class org.tensorflow.framework.OpDef
-
Description of the input(s).
- getInputArgCount() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Description of the input(s).
- getInputArgList() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- getInputArgList() - Method in class org.tensorflow.framework.OpDef
-
Description of the input(s).
- getInputArgList() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Description of the input(s).
- getInputArgOrBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- getInputArgOrBuilder(int) - Method in class org.tensorflow.framework.OpDef
-
Description of the input(s).
- getInputArgOrBuilder(int) - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Description of the input(s).
- getInputArgOrBuilderList() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- getInputArgOrBuilderList() - Method in class org.tensorflow.framework.OpDef
-
Description of the input(s).
- getInputArgOrBuilderList() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Description of the input(s).
- getInputArgument(int) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- getInputArgument(int) - Method in interface org.nd4j.linalg.api.ops.CustomOp
-
- getInputArgument(int) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- getInputArgument(int) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
-
- getInputArgument(int) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
-
- getInputBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputBuilderList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputBytes(int) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- getInputBytes(int) - Method in class onnx.OnnxMlProto3.NodeProto
-
namespace Value
- getInputBytes(int) - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
namespace Value
- getInputBytes(int) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- getInputBytes(int) - Method in class onnx.OnnxProto3.NodeProto
-
namespace Value
- getInputBytes(int) - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
namespace Value
- getInputBytes(int) - Method in class org.tensorflow.framework.NodeDef.Builder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputBytes(int) - Method in class org.tensorflow.framework.NodeDef
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputBytes(int) - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputCount() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputCount() - Method in class onnx.OnnxMlProto3.GraphProto
-
The inputs and outputs of the graph.
- getInputCount() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The inputs and outputs of the graph.
- getInputCount() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- getInputCount() - Method in class onnx.OnnxMlProto3.NodeProto
-
namespace Value
- getInputCount() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
namespace Value
- getInputCount() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputCount() - Method in class onnx.OnnxProto3.GraphProto
-
The inputs and outputs of the graph.
- getInputCount() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The inputs and outputs of the graph.
- getInputCount() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- getInputCount() - Method in class onnx.OnnxProto3.NodeProto
-
namespace Value
- getInputCount() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
namespace Value
- getInputCount() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
int32 input_count = 6;
- getInputCount() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
-
int32 input_count = 6;
- getInputCount() - Method in interface org.tensorflow.framework.GraphTransferInfo.NodeInfoOrBuilder
-
int32 input_count = 6;
- getInputCount() - Method in class org.tensorflow.framework.NodeDef.Builder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputCount() - Method in class org.tensorflow.framework.NodeDef
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputCount() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputFromNode(NODE_TYPE, int) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
Get the input node for the given node
- getInputFromNode(OnnxProto3.NodeProto, int) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getInputFromNode(NodeDef, int) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getInputInfo(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfo(int) - Method in class org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfo(int) - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoCount() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoCount() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoCount() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoList() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoList() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoList() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoOrBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoOrBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoOrBuilder(int) - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoOrBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoOrBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputInfoOrBuilderList() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- getInputLength(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- getInputList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputList() - Method in class onnx.OnnxMlProto3.GraphProto
-
The inputs and outputs of the graph.
- getInputList() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The inputs and outputs of the graph.
- getInputList() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- getInputList() - Method in class onnx.OnnxMlProto3.NodeProto
-
namespace Value
- getInputList() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
namespace Value
- getInputList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputList() - Method in class onnx.OnnxProto3.GraphProto
-
The inputs and outputs of the graph.
- getInputList() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The inputs and outputs of the graph.
- getInputList() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- getInputList() - Method in class onnx.OnnxProto3.NodeProto
-
namespace Value
- getInputList() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
namespace Value
- getInputList() - Method in class org.tensorflow.framework.NodeDef.Builder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputList() - Method in class org.tensorflow.framework.NodeDef
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputList() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- getInputOrBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputOrBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto
-
The inputs and outputs of the graph.
- getInputOrBuilder(int) - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The inputs and outputs of the graph.
- getInputOrBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputOrBuilder(int) - Method in class onnx.OnnxProto3.GraphProto
-
The inputs and outputs of the graph.
- getInputOrBuilder(int) - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The inputs and outputs of the graph.
- getInputOrBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputOrBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto
-
The inputs and outputs of the graph.
- getInputOrBuilderList() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The inputs and outputs of the graph.
- getInputOrBuilderList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- getInputOrBuilderList() - Method in class onnx.OnnxProto3.GraphProto
-
The inputs and outputs of the graph.
- getInputOrBuilderList() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The inputs and outputs of the graph.
- getInputRename(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- getInputRename(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- getInputRename(int) - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- getInputRenameBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- getInputRenameBuilderList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- getInputRenameCount() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- getInputRenameCount() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- getInputRenameCount() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- getInputRenameList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- getInputRenameList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- getInputRenameList() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- getInputRenameOrBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- getInputRenameOrBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- getInputRenameOrBuilder(int) - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- getInputRenameOrBuilderList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- getInputRenameOrBuilderList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- getInputRenameOrBuilderList() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- getInputsForFunction(DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Returns the inputs for the given function
- getInputStats(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Get normalization statistics for a given input.
- getInputStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Get the map of normalization statistics per input
- getInputVariablesForFunction(DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- getInputVars() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.WhileDerivative
-
- getInstance(String) - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder
-
- getInstance() - Static method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder
-
- getInstance() - Static method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getInstance() - Static method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
Singleton.
- getInstance() - Static method in class org.nd4j.linalg.api.ops.DefaultOpConverter
-
- getInstance() - Static method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Get the ndarray compressor
singleton
- getInstance() - Static method in class org.nd4j.linalg.heartbeat.Heartbeat
-
- getInstance() - Static method in class org.nd4j.linalg.profiler.OpProfiler
-
- getInstrumentation() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Gets the instrumentation instance
- getInt(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the elements at the the specified indices
- getInt(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getInt(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getInt(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get an integer value at the specified indices.
- getInt32Data(int) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32Data(int) - Method in class onnx.OnnxMlProto3.TensorProto
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32Data(int) - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32Data(int) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32Data(int) - Method in class onnx.OnnxProto3.TensorProto
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32Data(int) - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataCount() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataCount() - Method in class onnx.OnnxMlProto3.TensorProto
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataCount() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataCount() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataCount() - Method in class onnx.OnnxProto3.TensorProto
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataCount() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataList() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataList() - Method in class onnx.OnnxMlProto3.TensorProto
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataList() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataList() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataList() - Method in class onnx.OnnxProto3.TensorProto
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt32DataList() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- getInt64Data(int) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int64.
- getInt64Data(int) - Method in class onnx.OnnxMlProto3.TensorProto
-
For int64.
- getInt64Data(int) - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For int64.
- getInt64Data(int) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int64.
- getInt64Data(int) - Method in class onnx.OnnxProto3.TensorProto
-
For int64.
- getInt64Data(int) - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For int64.
- getInt64DataCount() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int64.
- getInt64DataCount() - Method in class onnx.OnnxMlProto3.TensorProto
-
For int64.
- getInt64DataCount() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For int64.
- getInt64DataCount() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int64.
- getInt64DataCount() - Method in class onnx.OnnxProto3.TensorProto
-
For int64.
- getInt64DataCount() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For int64.
- getInt64DataList() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int64.
- getInt64DataList() - Method in class onnx.OnnxMlProto3.TensorProto
-
For int64.
- getInt64DataList() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For int64.
- getInt64DataList() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int64.
- getInt64DataList() - Method in class onnx.OnnxProto3.TensorProto
-
For int64.
- getInt64DataList() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For int64.
- getInt64Val(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT64
- getInt64Val(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_INT64
- getInt64Val(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_INT64
- getInt64ValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT64
- getInt64ValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_INT64
- getInt64ValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_INT64
- getInt64ValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT64
- getInt64ValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_INT64
- getInt64ValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_INT64
- getIntArrayArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- getIntArrayArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- getInts(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of ints
- getInts(int) - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of ints
- getInts(int) - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of ints
- getInts(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of ints
- getInts(int) - Method in class onnx.OnnxProto3.AttributeProto
-
list of ints
- getInts(int) - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of ints
- getIntsCount() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of ints
- getIntsCount() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of ints
- getIntsCount() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of ints
- getIntsCount() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of ints
- getIntsCount() - Method in class onnx.OnnxProto3.AttributeProto
-
list of ints
- getIntsCount() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of ints
- getIntsList() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of ints
- getIntsList() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of ints
- getIntsList() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of ints
- getIntsList() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of ints
- getIntsList() - Method in class onnx.OnnxProto3.AttributeProto
-
list of ints
- getIntsList() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of ints
- getIntVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntVal(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getIntValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- getInvocationsCount() - Method in class org.nd4j.linalg.profiler.OpProfiler
-
- getIrBuildMetadata() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The build metadata component of the SemVer of the IR.
- getIrBuildMetadata() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
The build metadata component of the SemVer of the IR.
- getIrBuildMetadata() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
The build metadata component of the SemVer of the IR.
- getIrBuildMetadataBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The build metadata component of the SemVer of the IR.
- getIrBuildMetadataBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
The build metadata component of the SemVer of the IR.
- getIrBuildMetadataBytes() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
The build metadata component of the SemVer of the IR.
- getIrVersion() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the IR this model targets.
- getIrVersion() - Method in class onnx.OnnxMlProto3.ModelProto
-
The version of the IR this model targets.
- getIrVersion() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The version of the IR this model targets.
- getIrVersion() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
All OperatorSetProtos indicate the version of the IR syntax and semantics
they adhere to.
- getIrVersion() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
All OperatorSetProtos indicate the version of the IR syntax and semantics
they adhere to.
- getIrVersion() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
All OperatorSetProtos indicate the version of the IR syntax and semantics
they adhere to.
- getIrVersion() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the IR this model targets.
- getIrVersion() - Method in class onnx.OnnxProto3.ModelProto
-
The version of the IR this model targets.
- getIrVersion() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The version of the IR this model targets.
- getIrVersionPrerelease() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The prerelease component of the SemVer of the IR.
- getIrVersionPrerelease() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
The prerelease component of the SemVer of the IR.
- getIrVersionPrerelease() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
The prerelease component of the SemVer of the IR.
- getIrVersionPrereleaseBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The prerelease component of the SemVer of the IR.
- getIrVersionPrereleaseBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
The prerelease component of the SemVer of the IR.
- getIrVersionPrereleaseBytes() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
The prerelease component of the SemVer of the IR.
- getIsAggregate() - Method in class org.tensorflow.framework.OpDef.Builder
-
If is_aggregate is true, then this operation accepts N >= 2
inputs and produces 1 output all of the same type.
- getIsAggregate() - Method in class org.tensorflow.framework.OpDef
-
If is_aggregate is true, then this operation accepts N >= 2
inputs and produces 1 output all of the same type.
- getIsAggregate() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
If is_aggregate is true, then this operation accepts N >= 2
inputs and produces 1 output all of the same type.
- getIsCommutative() - Method in class org.tensorflow.framework.OpDef.Builder
-
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
- getIsCommutative() - Method in class org.tensorflow.framework.OpDef
-
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
- getIsCommutative() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
- getIsFinal() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
If true, the output is permanent: it can't be discarded, because this
node is part of the "final output".
- getIsFinal() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
If true, the output is permanent: it can't be discarded, because this
node is part of the "final output".
- getIsFinal() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
If true, the output is permanent: it can't be discarded, because this
node is part of the "final output".
- getIsRef() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
For inputs: if true, the inputs are required to be refs.
- getIsRef() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
For inputs: if true, the inputs are required to be refs.
- getIsRef() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
For inputs: if true, the inputs are required to be refs.
- getIsResource() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Whether to represent this as a ResourceVariable.
- getIsResource() - Method in class org.tensorflow.framework.VariableDef
-
Whether to represent this as a ResourceVariable.
- getIsResource() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Whether to represent this as a ResourceVariable.
- getIsStateful() - Method in class org.tensorflow.framework.OpDef.Builder
-
By default Ops may be moved between devices.
- getIsStateful() - Method in class org.tensorflow.framework.OpDef
-
By default Ops may be moved between devices.
- getIsStateful() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
By default Ops may be moved between devices.
- getKernelName() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- getKernelName() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- getKernelName() - Method in interface org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- getKernelName() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- getKernelName() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- getKernelName() - Method in interface org.tensorflow.framework.MemoryLogTensorOutputOrBuilder
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- getKernelNameBytes() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- getKernelNameBytes() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- getKernelNameBytes() - Method in interface org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- getKernelNameBytes() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- getKernelNameBytes() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- getKernelNameBytes() - Method in interface org.tensorflow.framework.MemoryLogTensorOutputOrBuilder
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- getKey() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
string key = 1;
- getKey() - Method in class onnx.OnnxMlProto3.StringStringEntryProto
-
string key = 1;
- getKey() - Method in interface onnx.OnnxMlProto3.StringStringEntryProtoOrBuilder
-
string key = 1;
- getKey() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
string key = 1;
- getKey() - Method in class onnx.OnnxProto3.StringStringEntryProto
-
string key = 1;
- getKey() - Method in interface onnx.OnnxProto3.StringStringEntryProtoOrBuilder
-
string key = 1;
- getKeyBytes() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
string key = 1;
- getKeyBytes() - Method in class onnx.OnnxMlProto3.StringStringEntryProto
-
string key = 1;
- getKeyBytes() - Method in interface onnx.OnnxMlProto3.StringStringEntryProtoOrBuilder
-
string key = 1;
- getKeyBytes() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
string key = 1;
- getKeyBytes() - Method in class onnx.OnnxProto3.StringStringEntryProto
-
string key = 1;
- getKeyBytes() - Method in interface onnx.OnnxProto3.StringStringEntryProtoOrBuilder
-
string key = 1;
- getKeys(int) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
Keys for tensors in the VariantTensorDataProto.
- getKeys(int) - Method in class org.tensorflow.util.IteratorStateMetadata
-
Keys for tensors in the VariantTensorDataProto.
- getKeys(int) - Method in interface org.tensorflow.util.IteratorStateMetadataOrBuilder
-
Keys for tensors in the VariantTensorDataProto.
- getKeysBytes(int) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
Keys for tensors in the VariantTensorDataProto.
- getKeysBytes(int) - Method in class org.tensorflow.util.IteratorStateMetadata
-
Keys for tensors in the VariantTensorDataProto.
- getKeysBytes(int) - Method in interface org.tensorflow.util.IteratorStateMetadataOrBuilder
-
Keys for tensors in the VariantTensorDataProto.
- getKeysCount() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
Keys for tensors in the VariantTensorDataProto.
- getKeysCount() - Method in class org.tensorflow.util.IteratorStateMetadata
-
Keys for tensors in the VariantTensorDataProto.
- getKeysCount() - Method in interface org.tensorflow.util.IteratorStateMetadataOrBuilder
-
Keys for tensors in the VariantTensorDataProto.
- getKeysList() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
Keys for tensors in the VariantTensorDataProto.
- getKeysList() - Method in class org.tensorflow.util.IteratorStateMetadata
-
Keys for tensors in the VariantTensorDataProto.
- getKeysList() - Method in interface org.tensorflow.util.IteratorStateMetadataOrBuilder
-
Keys for tensors in the VariantTensorDataProto.
- getKeyType() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- getKeyType() - Method in class onnx.OnnxMlProto3.TypeProto.Map
-
This field MUST be present for this version of the IR.
- getKeyType() - Method in interface onnx.OnnxMlProto3.TypeProto.MapOrBuilder
-
This field MUST be present for this version of the IR.
- getKeyTypeValue() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- getKeyTypeValue() - Method in class onnx.OnnxMlProto3.TypeProto.Map
-
This field MUST be present for this version of the IR.
- getKeyTypeValue() - Method in interface onnx.OnnxMlProto3.TypeProto.MapOrBuilder
-
This field MUST be present for this version of the IR.
- getLabel() - Method in class org.tensorflow.framework.KernelDef.Builder
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- getLabel() - Method in class org.tensorflow.framework.KernelDef
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- getLabel() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- getLabelBytes() - Method in class org.tensorflow.framework.KernelDef.Builder
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- getLabelBytes() - Method in class org.tensorflow.framework.KernelDef
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- getLabelBytes() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- getLabelMax(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- getLabelMax() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- getLabelMean(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
-
- getLabelMean() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- getLabelMin(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- getLabelMin() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- getLabelName(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getLabelName(int) - Method in class org.nd4j.linalg.dataset.DataSet
-
- getLabelNames() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Deprecated.
- getLabelNames(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getLabelNames(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet
-
- getLabelNames() - Method in class org.nd4j.linalg.dataset.DataSet
-
Deprecated.
- getLabelNamesList() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getLabelNamesList() - Method in class org.nd4j.linalg.dataset.DataSet
-
Gets the optional label names
- getLabels() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- getLabels() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
Get dataset iterator record reader labels
- getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
- getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
- getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- getLabels() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get all of the labels, as an array of INDArrays
- getLabels(int) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get a single label/output array
- getLabels() - Method in class org.nd4j.linalg.dataset.DataSet
-
Returns the labels for the dataset
- getLabels() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- getLabels() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- getLabels() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getLabels(int) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getLabels() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- getLabelsMaskArray() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Labels (output) mask array: a mask array for input, where each value is in {0,1} in order to specify whether an
output is actually present or not.
- getLabelsMaskArray(int) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get the specified label mask array.
- getLabelsMaskArray() - Method in class org.nd4j.linalg.dataset.DataSet
-
- getLabelsMaskArray(int) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getLabelsMaskArrays() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get the labels mask arrays.
- getLabelsMaskArrays() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getLabelStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
- getLabelStats(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- getLabelStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- getLabelStd(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
-
- getLabelStd() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- getLabelWidth() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
Returns the width of each label vector.
- getLastCycleAllocations() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method returns amount of memory consumed in last successful cycle, in bytes
- getLastCycleAllocations() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of bytes allocated during last full cycle
- getLastDescriptor() - Method in class org.nd4j.linalg.profiler.data.StackAggregator
-
- getLastGcTime() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- getLastGcTime() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method returns time (in milliseconds) of the las System.gc() call
- getLastOp() - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
-
This method returns opName of the last invoked op
- getLastOp() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- getLastOp() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method returns opName of the last invoked op
- getLd(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Get the leading dimension
for a blas invocation.
- getLeadingOnes() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getLeadingOnes() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getLeadingOnes() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get the number of leading ones in the array shape.
- getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.AdaDelta
-
- getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.AdaGrad
-
- getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.Adam
-
- getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.AdaMax
-
- getLearningRate(int, int) - Method in interface org.nd4j.linalg.learning.config.IUpdater
-
Get the learning rate - if any - for the updater, at the specified iteration and epoch.
- getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.Nadam
-
- getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.Nesterovs
-
- getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.NoOp
-
- getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.RmsProp
-
- getLearningRate(int, int) - Method in class org.nd4j.linalg.learning.config.Sgd
-
- getLength() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
int64 length = 2;
- getLength() - Method in class org.tensorflow.framework.TensorSliceProto.Extent
-
int64 length = 2;
- getLength() - Method in interface org.tensorflow.framework.TensorSliceProto.ExtentOrBuilder
-
int64 length = 2;
- getLengthFrames() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Length of the audio in frames (samples per channel).
- getLengthFrames() - Method in class org.tensorflow.framework.Summary.Audio
-
Length of the audio in frames (samples per channel).
- getLengthFrames() - Method in interface org.tensorflow.framework.Summary.AudioOrBuilder
-
Length of the audio in frames (samples per channel).
- getLFactor(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- getLFactor(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLapack
-
- getLFactor(INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
extracts the L (lower triangular) matrix from the LU factor result
L will be the same dimensions as A
- getLibrary() - Method in class org.tensorflow.framework.GraphDef.Builder
-
EXPERIMENTAL.
- getLibrary() - Method in class org.tensorflow.framework.GraphDef
-
EXPERIMENTAL.
- getLibrary() - Method in interface org.tensorflow.framework.GraphDefOrBuilder
-
EXPERIMENTAL.
- getLibraryBuilder() - Method in class org.tensorflow.framework.GraphDef.Builder
-
EXPERIMENTAL.
- getLibraryOrBuilder() - Method in class org.tensorflow.framework.GraphDef.Builder
-
EXPERIMENTAL.
- getLibraryOrBuilder() - Method in class org.tensorflow.framework.GraphDef
-
EXPERIMENTAL.
- getLibraryOrBuilder() - Method in interface org.tensorflow.framework.GraphDefOrBuilder
-
EXPERIMENTAL.
- getList() - Method in class org.tensorflow.framework.AttrValue.Builder
-
any "list(...)"
- getList() - Method in class org.tensorflow.framework.AttrValue
-
any "list(...)"
- getList() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
any "list(...)"
- getListBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder
-
any "list(...)"
- getListOrBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder
-
any "list(...)"
- getListOrBuilder() - Method in class org.tensorflow.framework.AttrValue
-
any "list(...)"
- getListOrBuilder() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
any "list(...)"
- getLiveBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The bytes that are not deallocated.
- getLiveBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
The bytes that are not deallocated.
- getLiveBytes() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
The bytes that are not deallocated.
- getLocality() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- getLocality() - Method in class org.tensorflow.framework.DeviceAttributes
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- getLocality() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- getLocalityBuilder() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- getLocalityOrBuilder() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- getLocalityOrBuilder() - Method in class org.tensorflow.framework.DeviceAttributes
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- getLocalityOrBuilder() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- getLongHash(byte[]) - Static method in class org.nd4j.linalg.util.HashUtil
-
This method returns long hash for a given bytes array
- getLongHash(String) - Static method in class org.nd4j.linalg.util.HashUtil
-
This method returns long hash for a given string
- getLoopBodyExecution() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.IfDerivative
-
- getLoopBodyExecution() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.WhileDerivative
-
- getMagic() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
All OperatorSetProtos start with a distingushed byte sequence to disambiguate
protobuf files containing OperatorSets from other content.
- getMagic() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
All OperatorSetProtos start with a distingushed byte sequence to disambiguate
protobuf files containing OperatorSets from other content.
- getMagic() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
All OperatorSetProtos start with a distingushed byte sequence to disambiguate
protobuf files containing OperatorSets from other content.
- getMagicBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
All OperatorSetProtos start with a distingushed byte sequence to disambiguate
protobuf files containing OperatorSets from other content.
- getMagicBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
All OperatorSetProtos start with a distingushed byte sequence to disambiguate
protobuf files containing OperatorSets from other content.
- getMagicBytes() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
All OperatorSetProtos start with a distingushed byte sequence to disambiguate
protobuf files containing OperatorSets from other content.
- getMappedOp(String) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
Get the mapped op name
for a given op
relative to the type of node being mapped.
- getMappedOp(String) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getMappedOp(String) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getMapType() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a map.
- getMapType() - Method in class onnx.OnnxMlProto3.TypeProto
-
The type of a map.
- getMapType() - Method in interface onnx.OnnxMlProto3.TypeProtoOrBuilder
-
The type of a map.
- getMapTypeBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a map.
- getMapTypeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a map.
- getMapTypeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto
-
The type of a map.
- getMapTypeOrBuilder() - Method in interface onnx.OnnxMlProto3.TypeProtoOrBuilder
-
The type of a map.
- getMatrixMultiplyShape(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the output shape of a matrix multiply
- getMax(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- getMax() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- getMax() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double max = 2;
- getMax() - Method in class org.tensorflow.framework.HistogramProto
-
double max = 2;
- getMax() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
double max = 2;
- getMaxByteSize(int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
-
repeated int32 max_byte_size = 2;
- getMaxByteSize(int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo
-
repeated int32 max_byte_size = 2;
- getMaxByteSize(int) - Method in interface org.tensorflow.framework.GraphTransferInfo.NodeOutputInfoOrBuilder
-
repeated int32 max_byte_size = 2;
- getMaxByteSizeCount() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
-
repeated int32 max_byte_size = 2;
- getMaxByteSizeCount() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo
-
repeated int32 max_byte_size = 2;
- getMaxByteSizeCount() - Method in interface org.tensorflow.framework.GraphTransferInfo.NodeOutputInfoOrBuilder
-
repeated int32 max_byte_size = 2;
- getMaxByteSizeList() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
-
repeated int32 max_byte_size = 2;
- getMaxByteSizeList() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo
-
repeated int32 max_byte_size = 2;
- getMaxByteSizeList() - Method in interface org.tensorflow.framework.GraphTransferInfo.NodeOutputInfoOrBuilder
-
repeated int32 max_byte_size = 2;
- getMaxCycleAllocations() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method returns amount of memory consumed by largest successful cycle, in bytes
- getMaxCycleAllocations() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of bytes of biggest cycle
- getMaximum() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- getMaximum(String) - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- getMaxShape(INDArray...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Return the shape of the largest length array
based on the input
- getMaxThreads() - Method in interface org.nd4j.linalg.api.blas.Blas
-
- getMaybeTypeName() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
For debug-only, the name of the type pointed to by this handle, if
available.
- getMaybeTypeName() - Method in class org.tensorflow.framework.ResourceHandleProto
-
For debug-only, the name of the type pointed to by this handle, if
available.
- getMaybeTypeName() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
For debug-only, the name of the type pointed to by this handle, if
available.
- getMaybeTypeNameBytes() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
For debug-only, the name of the type pointed to by this handle, if
available.
- getMaybeTypeNameBytes() - Method in class org.tensorflow.framework.ResourceHandleProto
-
For debug-only, the name of the type pointed to by this handle, if
available.
- getMaybeTypeNameBytes() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
For debug-only, the name of the type pointed to by this handle, if
available.
- getMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
Access the mean.
- getMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
Access the mean.
- getMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Access the mean.
- getMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
Access the mean.
- getMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
Access the mean.
- getMean() - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler
-
Deprecated.
- getMean() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- getMean() - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
- getMedian() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- getMedian(String) - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- getMemory(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemory(int) - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemory(int) - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryBuilderList() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryCount() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryCount() - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryCount() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryFootprint() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
This method returns memory used by this DataSet
- getMemoryFootprint() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
This method returns memory amount occupied by this MultiDataSet.
- getMemoryFootprint() - Method in class org.nd4j.linalg.dataset.DataSet
-
This method returns memory used by this DataSet
- getMemoryFootprint() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
This method returns memory used by this DataSet
- getMemoryLimit() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Memory capacity of device in bytes.
- getMemoryLimit() - Method in class org.tensorflow.framework.DeviceAttributes
-
Memory capacity of device in bytes.
- getMemoryLimit() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder
-
Memory capacity of device in bytes.
- getMemoryList() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryList() - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryList() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryManager() - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns backend-specific MemoryManager implementation, for low-level memory management
- getMemoryOrBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryOrBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryOrBuilder(int) - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryOrBuilderList() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryOrBuilderList() - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryOrBuilderList() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- getMemoryStats() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
.tensorflow.MemoryStats memory_stats = 12;
- getMemoryStats() - Method in class org.tensorflow.framework.NodeExecStats
-
.tensorflow.MemoryStats memory_stats = 12;
- getMemoryStats() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
.tensorflow.MemoryStats memory_stats = 12;
- getMemoryStatsBuilder() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
.tensorflow.MemoryStats memory_stats = 12;
- getMemoryStatsOrBuilder() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
.tensorflow.MemoryStats memory_stats = 12;
- getMemoryStatsOrBuilder() - Method in class org.tensorflow.framework.NodeExecStats
-
.tensorflow.MemoryStats memory_stats = 12;
- getMemoryStatsOrBuilder() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
.tensorflow.MemoryStats memory_stats = 12;
- getMemoryTime() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Analytical estimate of the memory access cost of this node, in
microseconds.
- getMemoryTime() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
Analytical estimate of the memory access cost of this node, in
microseconds.
- getMemoryTime() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Analytical estimate of the memory access cost of this node, in
microseconds.
- getMetadata() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Contains metadata on the summary value such as which plugins may use it.
- getMetadata() - Method in class org.tensorflow.framework.Summary.Value
-
Contains metadata on the summary value such as which plugins may use it.
- getMetadata() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
Contains metadata on the summary value such as which plugins may use it.
- getMetadata() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Portions of the object that are not Tensors.
- getMetadata() - Method in class org.tensorflow.framework.VariantTensorDataProto
-
Portions of the object that are not Tensors.
- getMetadata() - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Portions of the object that are not Tensors.
- getMetadataBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Contains metadata on the summary value such as which plugins may use it.
- getMetadataOrBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Contains metadata on the summary value such as which plugins may use it.
- getMetadataOrBuilder() - Method in class org.tensorflow.framework.Summary.Value
-
Contains metadata on the summary value such as which plugins may use it.
- getMetadataOrBuilder() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
Contains metadata on the summary value such as which plugins may use it.
- getMetadataProps(int) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataProps(int) - Method in class onnx.OnnxMlProto3.ModelProto
-
Named metadata values; keys should be distinct.
- getMetadataProps(int) - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
Named metadata values; keys should be distinct.
- getMetadataProps(int) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataProps(int) - Method in class onnx.OnnxProto3.ModelProto
-
Named metadata values; keys should be distinct.
- getMetadataProps(int) - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
Named metadata values; keys should be distinct.
- getMetadataPropsBuilder(int) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsBuilder(int) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsBuilderList() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsBuilderList() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsCount() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsCount() - Method in class onnx.OnnxMlProto3.ModelProto
-
Named metadata values; keys should be distinct.
- getMetadataPropsCount() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
Named metadata values; keys should be distinct.
- getMetadataPropsCount() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsCount() - Method in class onnx.OnnxProto3.ModelProto
-
Named metadata values; keys should be distinct.
- getMetadataPropsCount() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
Named metadata values; keys should be distinct.
- getMetadataPropsList() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsList() - Method in class onnx.OnnxMlProto3.ModelProto
-
Named metadata values; keys should be distinct.
- getMetadataPropsList() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
Named metadata values; keys should be distinct.
- getMetadataPropsList() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsList() - Method in class onnx.OnnxProto3.ModelProto
-
Named metadata values; keys should be distinct.
- getMetadataPropsList() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilder(int) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilder(int) - Method in class onnx.OnnxMlProto3.ModelProto
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilder(int) - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilder(int) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilder(int) - Method in class onnx.OnnxProto3.ModelProto
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilder(int) - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilderList() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilderList() - Method in class onnx.OnnxMlProto3.ModelProto
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilderList() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilderList() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilderList() - Method in class onnx.OnnxProto3.ModelProto
-
Named metadata values; keys should be distinct.
- getMetadataPropsOrBuilderList() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
Named metadata values; keys should be distinct.
- getMin(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- getMin() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- getMin() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double min = 1;
- getMin() - Method in class org.tensorflow.framework.HistogramProto
-
double min = 1;
- getMin() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
double min = 1;
- getMinConsumer() - Method in class org.tensorflow.framework.VersionDef.Builder
-
Any consumer below this version is not allowed to consume this data.
- getMinConsumer() - Method in class org.tensorflow.framework.VersionDef
-
Any consumer below this version is not allowed to consume this data.
- getMinConsumer() - Method in interface org.tensorflow.framework.VersionDefOrBuilder
-
Any consumer below this version is not allowed to consume this data.
- getMinimum() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- getMinimum(String) - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- getMinimum() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
int64 minimum = 6;
- getMinimum() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
int64 minimum = 6;
- getMinimum() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
int64 minimum = 6;
- getMixedOrderAggregator() - Method in class org.nd4j.linalg.profiler.OpProfiler
-
Dev-time method.
- getModelVersion() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the graph encoded.
- getModelVersion() - Method in class onnx.OnnxMlProto3.ModelProto
-
The version of the graph encoded.
- getModelVersion() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The version of the graph encoded.
- getModelVersion() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the graph encoded.
- getModelVersion() - Method in class onnx.OnnxProto3.ModelProto
-
The version of the graph encoded.
- getModelVersion() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The version of the graph encoded.
- getMutableAttr() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
Deprecated.
- getMutableAttr() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
Deprecated.
- getMutableAttr() - Method in class org.tensorflow.framework.NodeDef.Builder
-
Deprecated.
- getMutableRet() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
Deprecated.
- getName() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
The name field MUST be present for this version of the IR.
- getName() - Method in class onnx.OnnxMlProto3.AttributeProto
-
The name field MUST be present for this version of the IR.
- getName() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
The name field MUST be present for this version of the IR.
- getName() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The name of the graph.
- getName() - Method in class onnx.OnnxMlProto3.GraphProto
-
The name of the graph.
- getName() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The name of the graph.
- getName() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
An optional identifier for this node in a graph.
- getName() - Method in class onnx.OnnxMlProto3.NodeProto
-
An optional identifier for this node in a graph.
- getName() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
An optional identifier for this node in a graph.
- getName() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
Optionally, a name for the tensor.
- getName() - Method in class onnx.OnnxMlProto3.TensorProto
-
Optionally, a name for the tensor.
- getName() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
Optionally, a name for the tensor.
- getName() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- getName() - Method in class onnx.OnnxMlProto3.ValueInfoProto
-
This field MUST be present in this version of the IR.
- getName() - Method in interface onnx.OnnxMlProto3.ValueInfoProtoOrBuilder
-
This field MUST be present in this version of the IR.
- getName() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
The name field MUST be present for this version of the IR.
- getName() - Method in class onnx.OnnxProto3.AttributeProto
-
The name field MUST be present for this version of the IR.
- getName() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
The name field MUST be present for this version of the IR.
- getName() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The name of the graph.
- getName() - Method in class onnx.OnnxProto3.GraphProto
-
The name of the graph.
- getName() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The name of the graph.
- getName() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
An optional identifier for this node in a graph.
- getName() - Method in class onnx.OnnxProto3.NodeProto
-
An optional identifier for this node in a graph.
- getName() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
An optional identifier for this node in a graph.
- getName() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
Optionally, a name for the tensor.
- getName() - Method in class onnx.OnnxProto3.TensorProto
-
Optionally, a name for the tensor.
- getName() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
Optionally, a name for the tensor.
- getName() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- getName() - Method in class onnx.OnnxProto3.ValueInfoProto
-
This field MUST be present in this version of the IR.
- getName() - Method in interface onnx.OnnxProto3.ValueInfoProtoOrBuilder
-
This field MUST be present in this version of the IR.
- getName(NODE_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
Get the name of the node
- getName(OnnxProto3.NodeProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getName(NodeDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getName() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.ApiDef.Arg
-
string name = 1;
- getName() - Method in interface org.tensorflow.framework.ApiDef.ArgOrBuilder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.ApiDef.Attr
-
string name = 1;
- getName() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- getName() - Method in class org.tensorflow.framework.ApiDef.Endpoint
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- getName() - Method in interface org.tensorflow.framework.ApiDef.EndpointOrBuilder
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- getName() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The name of the node.
- getName() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
The name of the node.
- getName() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
The name of the node.
- getName() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Fully specified name of the device within a cluster.
- getName() - Method in class org.tensorflow.framework.DeviceAttributes
-
Fully specified name of the device within a cluster.
- getName() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder
-
Fully specified name of the device within a cluster.
- getName() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
-
string name = 1;
- getName() - Method in interface org.tensorflow.framework.GraphTransferInfo.ConstNodeInfoOrBuilder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
-
string name = 1;
- getName() - Method in interface org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfoOrBuilder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
-
string name = 1;
- getName() - Method in interface org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfoOrBuilder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
-
string name = 1;
- getName() - Method in interface org.tensorflow.framework.GraphTransferInfo.NodeInfoOrBuilder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
Name of an attr from the Op.
- getName() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint
-
Name of an attr from the Op.
- getName() - Method in interface org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder
-
Name of an attr from the Op.
- getName() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.NameAttrList
-
string name = 1;
- getName() - Method in interface org.tensorflow.framework.NameAttrListOrBuilder
-
string name = 1;
- getName() - Method in class org.tensorflow.framework.NodeDef.Builder
-
The name given to this operator.
- getName() - Method in class org.tensorflow.framework.NodeDef
-
The name given to this operator.
- getName() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
The name given to this operator.
- getName() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Name for the input/output.
- getName() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
Name for the input/output.
- getName() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
Name for the input/output.
- getName() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A descriptive name for the argument.
- getName() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
A descriptive name for the argument.
- getName() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
A descriptive name for the argument.
- getName() - Method in class org.tensorflow.framework.OpDef.Builder
-
Op names starting with an underscore are reserved for internal use.
- getName() - Method in class org.tensorflow.framework.OpDef
-
Op names starting with an underscore are reserved for internal use.
- getName() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Op names starting with an underscore are reserved for internal use.
- getName() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name of this resource.
- getName() - Method in class org.tensorflow.framework.ResourceHandleProto
-
Unique name of this resource.
- getName() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
Unique name of this resource.
- getName() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
Optional name of the tensor dimension.
- getName() - Method in class org.tensorflow.framework.TensorShapeProto.Dim
-
Optional name of the tensor dimension.
- getName() - Method in interface org.tensorflow.framework.TensorShapeProto.DimOrBuilder
-
Optional name of the tensor dimension.
- getName() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
string name = 1;
- getName() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault
-
string name = 1;
- getName() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefaultOrBuilder
-
string name = 1;
- getName() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Name of the op to apply overrides to.
- getName() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
Name of the op to apply overrides to.
- getName() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
Name of the op to apply overrides to.
- getNameBytes() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
The name field MUST be present for this version of the IR.
- getNameBytes() - Method in class onnx.OnnxMlProto3.AttributeProto
-
The name field MUST be present for this version of the IR.
- getNameBytes() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
The name field MUST be present for this version of the IR.
- getNameBytes() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The name of the graph.
- getNameBytes() - Method in class onnx.OnnxMlProto3.GraphProto
-
The name of the graph.
- getNameBytes() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The name of the graph.
- getNameBytes() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
An optional identifier for this node in a graph.
- getNameBytes() - Method in class onnx.OnnxMlProto3.NodeProto
-
An optional identifier for this node in a graph.
- getNameBytes() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
An optional identifier for this node in a graph.
- getNameBytes() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
Optionally, a name for the tensor.
- getNameBytes() - Method in class onnx.OnnxMlProto3.TensorProto
-
Optionally, a name for the tensor.
- getNameBytes() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
Optionally, a name for the tensor.
- getNameBytes() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- getNameBytes() - Method in class onnx.OnnxMlProto3.ValueInfoProto
-
This field MUST be present in this version of the IR.
- getNameBytes() - Method in interface onnx.OnnxMlProto3.ValueInfoProtoOrBuilder
-
This field MUST be present in this version of the IR.
- getNameBytes() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
The name field MUST be present for this version of the IR.
- getNameBytes() - Method in class onnx.OnnxProto3.AttributeProto
-
The name field MUST be present for this version of the IR.
- getNameBytes() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
The name field MUST be present for this version of the IR.
- getNameBytes() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The name of the graph.
- getNameBytes() - Method in class onnx.OnnxProto3.GraphProto
-
The name of the graph.
- getNameBytes() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The name of the graph.
- getNameBytes() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
An optional identifier for this node in a graph.
- getNameBytes() - Method in class onnx.OnnxProto3.NodeProto
-
An optional identifier for this node in a graph.
- getNameBytes() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
An optional identifier for this node in a graph.
- getNameBytes() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
Optionally, a name for the tensor.
- getNameBytes() - Method in class onnx.OnnxProto3.TensorProto
-
Optionally, a name for the tensor.
- getNameBytes() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
Optionally, a name for the tensor.
- getNameBytes() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- getNameBytes() - Method in class onnx.OnnxProto3.ValueInfoProto
-
This field MUST be present in this version of the IR.
- getNameBytes() - Method in interface onnx.OnnxProto3.ValueInfoProtoOrBuilder
-
This field MUST be present in this version of the IR.
- getNameBytes() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.ApiDef.Arg
-
string name = 1;
- getNameBytes() - Method in interface org.tensorflow.framework.ApiDef.ArgOrBuilder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.ApiDef.Attr
-
string name = 1;
- getNameBytes() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- getNameBytes() - Method in class org.tensorflow.framework.ApiDef.Endpoint
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- getNameBytes() - Method in interface org.tensorflow.framework.ApiDef.EndpointOrBuilder
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- getNameBytes() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The name of the node.
- getNameBytes() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
The name of the node.
- getNameBytes() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
The name of the node.
- getNameBytes() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Fully specified name of the device within a cluster.
- getNameBytes() - Method in class org.tensorflow.framework.DeviceAttributes
-
Fully specified name of the device within a cluster.
- getNameBytes() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder
-
Fully specified name of the device within a cluster.
- getNameBytes() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
-
string name = 1;
- getNameBytes() - Method in interface org.tensorflow.framework.GraphTransferInfo.ConstNodeInfoOrBuilder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
-
string name = 1;
- getNameBytes() - Method in interface org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfoOrBuilder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
-
string name = 1;
- getNameBytes() - Method in interface org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfoOrBuilder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
-
string name = 1;
- getNameBytes() - Method in interface org.tensorflow.framework.GraphTransferInfo.NodeInfoOrBuilder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
Name of an attr from the Op.
- getNameBytes() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint
-
Name of an attr from the Op.
- getNameBytes() - Method in interface org.tensorflow.framework.KernelDef.AttrConstraintOrBuilder
-
Name of an attr from the Op.
- getNameBytes() - Method in class org.tensorflow.framework.NameAttrList.Builder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.NameAttrList
-
string name = 1;
- getNameBytes() - Method in interface org.tensorflow.framework.NameAttrListOrBuilder
-
string name = 1;
- getNameBytes() - Method in class org.tensorflow.framework.NodeDef.Builder
-
The name given to this operator.
- getNameBytes() - Method in class org.tensorflow.framework.NodeDef
-
The name given to this operator.
- getNameBytes() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
The name given to this operator.
- getNameBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Name for the input/output.
- getNameBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
Name for the input/output.
- getNameBytes() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
Name for the input/output.
- getNameBytes() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A descriptive name for the argument.
- getNameBytes() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
A descriptive name for the argument.
- getNameBytes() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
A descriptive name for the argument.
- getNameBytes() - Method in class org.tensorflow.framework.OpDef.Builder
-
Op names starting with an underscore are reserved for internal use.
- getNameBytes() - Method in class org.tensorflow.framework.OpDef
-
Op names starting with an underscore are reserved for internal use.
- getNameBytes() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Op names starting with an underscore are reserved for internal use.
- getNameBytes() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name of this resource.
- getNameBytes() - Method in class org.tensorflow.framework.ResourceHandleProto
-
Unique name of this resource.
- getNameBytes() - Method in interface org.tensorflow.framework.ResourceHandleProtoOrBuilder
-
Unique name of this resource.
- getNameBytes() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
Optional name of the tensor dimension.
- getNameBytes() - Method in class org.tensorflow.framework.TensorShapeProto.Dim
-
Optional name of the tensor dimension.
- getNameBytes() - Method in interface org.tensorflow.framework.TensorShapeProto.DimOrBuilder
-
Optional name of the tensor dimension.
- getNameBytes() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
string name = 1;
- getNameBytes() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault
-
string name = 1;
- getNameBytes() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefaultOrBuilder
-
string name = 1;
- getNameBytes() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Name of the op to apply overrides to.
- getNameBytes() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
Name of the op to apply overrides to.
- getNameBytes() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
Name of the op to apply overrides to.
- getNDArrayFactory() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getNDArrayFromTensor(String, TENSOR_TYPE, GRAPH_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
- getNDArrayFromTensor(String, OnnxProto3.TypeProto.Tensor, OnnxProto3.GraphProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getNDArrayFromTensor(String, NodeDef, GraphDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getNdArrayType() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- getNewGraphBuilder() - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
Returns a graph builder for initial definition and parsing.
- getNewGraphBuilder() - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getNewGraphBuilder() - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getNewRandomInstance() - Method in class org.nd4j.linalg.factory.RandomFactory
-
This method returns new onject implementing Random interface, initialized with System.currentTimeMillis() as seed
- getNewRandomInstance(long) - Method in class org.nd4j.linalg.factory.RandomFactory
-
This method returns new onject implementing Random interface, initialized with seed value
- getNewRandomInstance(long, long) - Method in class org.nd4j.linalg.factory.RandomFactory
-
This method returns new onject implementing Random interface, initialized with seed value, with size of elements in buffer
- getNMixtures() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
Returns the number of gaussians this loss function
will attempt to find.
- getNode(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- getNode(int) - Method in class onnx.OnnxMlProto3.GraphProto
-
The nodes in the graph.
- getNode(int) - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The nodes in the graph.
- getNode(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- getNode(int) - Method in class onnx.OnnxProto3.GraphProto
-
The nodes in the graph.
- getNode(int) - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The nodes in the graph.
- getNode(int) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNode(int) - Method in class org.tensorflow.framework.CostGraphDef
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNode(int) - Method in interface org.tensorflow.framework.CostGraphDefOrBuilder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNode(int) - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- getNode(int) - Method in class org.tensorflow.framework.GraphDef
-
repeated .tensorflow.NodeDef node = 1;
- getNode(int) - Method in interface org.tensorflow.framework.GraphDefOrBuilder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeBuilder(int) - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeBuilderList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeBuilderList() - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeCount() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeCount() - Method in class onnx.OnnxMlProto3.GraphProto
-
The nodes in the graph.
- getNodeCount() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The nodes in the graph.
- getNodeCount() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeCount() - Method in class onnx.OnnxProto3.GraphProto
-
The nodes in the graph.
- getNodeCount() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The nodes in the graph.
- getNodeCount() - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeCount() - Method in class org.tensorflow.framework.CostGraphDef
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeCount() - Method in interface org.tensorflow.framework.CostGraphDefOrBuilder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeCount() - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeCount() - Method in class org.tensorflow.framework.GraphDef
-
repeated .tensorflow.NodeDef node = 1;
- getNodeCount() - Method in interface org.tensorflow.framework.GraphDefOrBuilder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeDef(int) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDef(int) - Method in class org.tensorflow.framework.FunctionDef
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDef(int) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefBuilder(int) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefBuilderList() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefCount() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefCount() - Method in class org.tensorflow.framework.FunctionDef
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefCount() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefList() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefList() - Method in class org.tensorflow.framework.FunctionDef
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefList() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefOrBuilder(int) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefOrBuilder(int) - Method in class org.tensorflow.framework.FunctionDef
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefOrBuilder(int) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefOrBuilderList() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefOrBuilderList() - Method in class org.tensorflow.framework.FunctionDef
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeDefOrBuilderList() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- getNodeId() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
int32 node_id = 2;
- getNodeId() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
-
int32 node_id = 2;
- getNodeId() - Method in interface org.tensorflow.framework.GraphTransferInfo.ConstNodeInfoOrBuilder
-
int32 node_id = 2;
- getNodeId() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
int32 node_id = 2;
- getNodeId() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
-
int32 node_id = 2;
- getNodeId() - Method in interface org.tensorflow.framework.GraphTransferInfo.NodeInfoOrBuilder
-
int32 node_id = 2;
- getNodeId() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
-
int32 node_id = 1;
- getNodeId() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput
-
int32 node_id = 1;
- getNodeId() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
int32 node_id = 1;
- getNodeId() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo
-
int32 node_id = 1;
- getNodeId() - Method in interface org.tensorflow.framework.GraphTransferInfo.NodeInputInfoOrBuilder
-
int32 node_id = 1;
- getNodeId() - Method in interface org.tensorflow.framework.GraphTransferInfo.NodeInputOrBuilder
-
int32 node_id = 1;
- getNodeId() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
-
int32 node_id = 1;
- getNodeId() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo
-
int32 node_id = 1;
- getNodeId() - Method in interface org.tensorflow.framework.GraphTransferInfo.NodeOutputInfoOrBuilder
-
int32 node_id = 1;
- getNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- getNodeInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- getNodeInfo(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- getNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- getNodeInfoBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- getNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- getNodeInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- getNodeInfoCount() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- getNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- getNodeInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- getNodeInfoList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- getNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- getNodeInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- getNodeInfoOrBuilder(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- getNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- getNodeInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- getNodeInfoOrBuilderList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- getNodeInput(int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- getNodeInput(int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- getNodeInput(int) - Method in interface org.tensorflow.framework.GraphTransferInfo.NodeInputInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- getNodeInputBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- getNodeInputBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- getNodeInputCount() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- getNodeInputCount() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- getNodeInputCount() - Method in interface org.tensorflow.framework.GraphTransferInfo.NodeInputInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- getNodeInputInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- getNodeInputInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- getNodeInputInfo(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- getNodeInputInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- getNodeInputInfoBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- getNodeInputInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- getNodeInputInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- getNodeInputInfoCount() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- getNodeInputInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- getNodeInputInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- getNodeInputInfoList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- getNodeInputInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- getNodeInputInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- getNodeInputInfoOrBuilder(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- getNodeInputInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- getNodeInputInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- getNodeInputInfoOrBuilderList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- getNodeInputList() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- getNodeInputList() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- getNodeInputList() - Method in interface org.tensorflow.framework.GraphTransferInfo.NodeInputInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- getNodeInputOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- getNodeInputOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- getNodeInputOrBuilder(int) - Method in interface org.tensorflow.framework.GraphTransferInfo.NodeInputInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- getNodeInputOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- getNodeInputOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- getNodeInputOrBuilderList() - Method in interface org.tensorflow.framework.GraphTransferInfo.NodeInputInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- getNodeList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeList() - Method in class onnx.OnnxMlProto3.GraphProto
-
The nodes in the graph.
- getNodeList() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The nodes in the graph.
- getNodeList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeList() - Method in class onnx.OnnxProto3.GraphProto
-
The nodes in the graph.
- getNodeList() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The nodes in the graph.
- getNodeList(GRAPH_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
- getNodeList(OnnxProto3.GraphProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getNodeList(GraphDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getNodeList() - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeList() - Method in class org.tensorflow.framework.CostGraphDef
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeList() - Method in interface org.tensorflow.framework.CostGraphDefOrBuilder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeList() - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeList() - Method in class org.tensorflow.framework.GraphDef
-
repeated .tensorflow.NodeDef node = 1;
- getNodeList() - Method in interface org.tensorflow.framework.GraphDefOrBuilder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeName(String) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
Map a tensorflow node name
to the samediff equivalent
for import
- getNodeName() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- getNodeName() - Method in class org.tensorflow.framework.NodeExecStats
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- getNodeName() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- getNodeName() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
This field is deprecated and will not be set.
- getNodeName() - Method in class org.tensorflow.framework.Summary.Value
-
This field is deprecated and will not be set.
- getNodeName() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
This field is deprecated and will not be set.
- getNodeNameBytes() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- getNodeNameBytes() - Method in class org.tensorflow.framework.NodeExecStats
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- getNodeNameBytes() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- getNodeNameBytes() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
This field is deprecated and will not be set.
- getNodeNameBytes() - Method in class org.tensorflow.framework.Summary.Value
-
This field is deprecated and will not be set.
- getNodeNameBytes() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
This field is deprecated and will not be set.
- getNodeOrBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeOrBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto
-
The nodes in the graph.
- getNodeOrBuilder(int) - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The nodes in the graph.
- getNodeOrBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeOrBuilder(int) - Method in class onnx.OnnxProto3.GraphProto
-
The nodes in the graph.
- getNodeOrBuilder(int) - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The nodes in the graph.
- getNodeOrBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeOrBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeOrBuilder(int) - Method in interface org.tensorflow.framework.CostGraphDefOrBuilder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeOrBuilder(int) - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeOrBuilder(int) - Method in class org.tensorflow.framework.GraphDef
-
repeated .tensorflow.NodeDef node = 1;
- getNodeOrBuilder(int) - Method in interface org.tensorflow.framework.GraphDefOrBuilder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeOrBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeOrBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto
-
The nodes in the graph.
- getNodeOrBuilderList() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
The nodes in the graph.
- getNodeOrBuilderList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- getNodeOrBuilderList() - Method in class onnx.OnnxProto3.GraphProto
-
The nodes in the graph.
- getNodeOrBuilderList() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
The nodes in the graph.
- getNodeOrBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeOrBuilderList() - Method in class org.tensorflow.framework.CostGraphDef
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeOrBuilderList() - Method in interface org.tensorflow.framework.CostGraphDefOrBuilder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- getNodeOrBuilderList() - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeOrBuilderList() - Method in class org.tensorflow.framework.GraphDef
-
repeated .tensorflow.NodeDef node = 1;
- getNodeOrBuilderList() - Method in interface org.tensorflow.framework.GraphDefOrBuilder
-
repeated .tensorflow.NodeDef node = 1;
- getNodeOutputInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- getNodeOutputInfo(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- getNodeOutputInfo(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- getNodeOutputInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- getNodeOutputInfoBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- getNodeOutputInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- getNodeOutputInfoCount() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- getNodeOutputInfoCount() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- getNodeOutputInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- getNodeOutputInfoList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- getNodeOutputInfoList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- getNodeOutputInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- getNodeOutputInfoOrBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- getNodeOutputInfoOrBuilder(int) - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- getNodeOutputInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- getNodeOutputInfoOrBuilderList() - Method in class org.tensorflow.framework.GraphTransferInfo
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- getNodeOutputInfoOrBuilderList() - Method in interface org.tensorflow.framework.GraphTransferInfoOrBuilder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- getNodes() - Method in class org.nd4j.linalg.profiler.data.primitives.StackNode
-
- getNodeStats(int) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStats(int) - Method in class org.tensorflow.framework.DeviceStepStats
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStats(int) - Method in interface org.tensorflow.framework.DeviceStepStatsOrBuilder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsBuilder(int) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsBuilderList() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsCount() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsCount() - Method in class org.tensorflow.framework.DeviceStepStats
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsCount() - Method in interface org.tensorflow.framework.DeviceStepStatsOrBuilder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsList() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsList() - Method in class org.tensorflow.framework.DeviceStepStats
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsList() - Method in interface org.tensorflow.framework.DeviceStepStatsOrBuilder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsOrBuilder(int) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsOrBuilder(int) - Method in class org.tensorflow.framework.DeviceStepStats
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsOrBuilder(int) - Method in interface org.tensorflow.framework.DeviceStepStatsOrBuilder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsOrBuilderList() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsOrBuilderList() - Method in class org.tensorflow.framework.DeviceStepStats
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeStatsOrBuilderList() - Method in interface org.tensorflow.framework.DeviceStepStatsOrBuilder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- getNodeWithNameFromGraph(GRAPH_TYPE, String) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
Get the node from the graph
- getNodeWithNameFromGraph(OnnxProto3.GraphProto, String) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getNodeWithNameFromGraph(GraphDef, String) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getNum() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double num = 3;
- getNum() - Method in class org.tensorflow.framework.HistogramProto
-
double num = 3;
- getNum() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
double num = 3;
- getNumber() - Method in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
-
- getNumber() - Method in enum onnx.OnnxMlProto3.TensorProto.DataType
-
- getNumber() - Method in enum onnx.OnnxMlProto3.TensorShapeProto.Dimension.ValueCase
-
- getNumber() - Method in enum onnx.OnnxMlProto3.TypeProto.ValueCase
-
- getNumber() - Method in enum onnx.OnnxMlProto3.Version
-
- getNumber() - Method in enum onnx.OnnxOperatorsProto3.OperatorProto.OperatorStatus
-
- getNumber() - Method in enum onnx.OnnxProto3.AttributeProto.AttributeType
-
- getNumber() - Method in enum onnx.OnnxProto3.TensorProto.DataType
-
- getNumber() - Method in enum onnx.OnnxProto3.TensorShapeProto.Dimension.ValueCase
-
- getNumber() - Method in enum onnx.OnnxProto3.TypeProto.ValueCase
-
- getNumber() - Method in enum onnx.OnnxProto3.Version
-
- getNumber() - Method in enum org.tensorflow.framework.ApiDef.Visibility
-
- getNumber() - Method in enum org.tensorflow.framework.AttrValue.ValueCase
-
- getNumber() - Method in enum org.tensorflow.framework.DataType
-
- getNumber() - Method in enum org.tensorflow.framework.GraphTransferInfo.Destination
-
- getNumber() - Method in enum org.tensorflow.framework.RemoteFusedGraphExecuteInfo.NodeType
-
- getNumber() - Method in enum org.tensorflow.framework.Summary.Value.ValueCase
-
- getNumber() - Method in enum org.tensorflow.framework.TensorSliceProto.Extent.HasLengthCase
-
- getNumberAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "int"
- getNumberAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
if specified, attr must have type "int"
- getNumberAttr() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
if specified, attr must have type "int"
- getNumberAttrBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "int"
- getNumberAttrBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
if specified, attr must have type "int"
- getNumberAttrBytes() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
if specified, attr must have type "int"
- getNumberOfCycles(String) - Method in class org.nd4j.autodiff.samediff.flow.FlowPath
-
This method returns number of iterations of specified node.
- getNumberOfCycles() - Method in class org.nd4j.autodiff.samediff.flow.FrameState
-
This method returns number of cycles for this frame
- getNumberOfCycles() - Method in class org.nd4j.autodiff.samediff.flow.NodeState
-
- getNumberOfDevices() - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method returns number of available devices
- getNumberOfDevices() - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- getNumberOfExternalAllocations() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of spilled allocations, that can be purged at the end of block
- getNumberOfPinnedAllocations() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of pinned allocations, they can be purged after 2 steps.
- getNumberOfTrials() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Access the number of trials for this distribution.
- getNumBytes() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Number of bytes in the allocation.
- getNumBytes() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
Number of bytes in the allocation.
- getNumBytes() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Number of bytes in the allocation.
- getNumChannels() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Number of channels of audio.
- getNumChannels() - Method in class org.tensorflow.framework.Summary.Audio
-
Number of channels of audio.
- getNumChannels() - Method in interface org.tensorflow.framework.Summary.AudioOrBuilder
-
Number of channels of audio.
- getNumericalMean() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalVariance() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumHiddenDimension() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getNumLooped() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.WhileDerivative
-
- getNumNewAxes() - Method in class org.nd4j.linalg.indexing.IndexInfo
-
- getNumPoints() - Method in class org.nd4j.linalg.indexing.IndexInfo
-
- getNumRecordsProduced() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
int64 num_records_produced = 3;
- getNumRecordsProduced() - Method in class org.tensorflow.framework.ReaderBaseState
-
int64 num_records_produced = 3;
- getNumRecordsProduced() - Method in interface org.tensorflow.framework.ReaderBaseStateOrBuilder
-
int64 num_records_produced = 3;
- getObsoleteOldStyleHistogram() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
bytes obsolete_old_style_histogram = 3;
- getObsoleteOldStyleHistogram() - Method in class org.tensorflow.framework.Summary.Value
-
bytes obsolete_old_style_histogram = 3;
- getObsoleteOldStyleHistogram() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
bytes obsolete_old_style_histogram = 3;
- getOccasionalGcFrequency() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- getOccasionalGcFrequency() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method returns
- getOffset(long, int[], int[], int...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get an offset for retrieval
from a data buffer
based on the given
shape stride and given indices
- getOffset(IntBuffer, int...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified indices from the shape info buffer
- getOffset(DataBuffer, int...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified indices from the shape info buffer
- getOffset(int[], int...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffset(DataBuffer, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified [row,col] for the 2d array
- getOffset(IntBuffer, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified [row,col] for the 2d array
- getOffset(IntBuffer, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified [dim0,dim1,dim2] for the 3d array
- getOffset(DataBuffer, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified [dim0,dim1,dim2] for the 3d array
- getOffset(IntBuffer, int, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified [dim0,dim1,dim2,dim3] for the 4d array
- getOffset(DataBuffer, int, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified [dim0,dim1,dim2,dim3] for the 4d array
- getOffsetUnsafe(DataBuffer, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffsetUnsafe(int[], int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffsetUnsafe(DataBuffer, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffsetUnsafe(int[], int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffsetUnsafe(DataBuffer, int, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffsetUnsafe(int[], int, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOp(int) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- getOp(int) - Method in class org.tensorflow.framework.ApiDefs
-
repeated .tensorflow.ApiDef op = 1;
- getOp(int) - Method in interface org.tensorflow.framework.ApiDefsOrBuilder
-
repeated .tensorflow.ApiDef op = 1;
- getOp() - Method in class org.tensorflow.framework.KernelDef.Builder
-
Must match the name of an Op.
- getOp() - Method in class org.tensorflow.framework.KernelDef
-
Must match the name of an Op.
- getOp() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
Must match the name of an Op.
- getOp() - Method in class org.tensorflow.framework.NodeDef.Builder
-
The operation name.
- getOp() - Method in class org.tensorflow.framework.NodeDef
-
The operation name.
- getOp() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
The operation name.
- getOp(int) - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- getOp(int) - Method in class org.tensorflow.framework.OpList
-
repeated .tensorflow.OpDef op = 1;
- getOp(int) - Method in interface org.tensorflow.framework.OpListOrBuilder
-
repeated .tensorflow.OpDef op = 1;
- getOp(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
repeated .tensorflow.OpGenOverride op = 1;
- getOp(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides
-
repeated .tensorflow.OpGenOverride op = 1;
- getOp(int) - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverridesOrBuilder
-
repeated .tensorflow.OpGenOverride op = 1;
- getOpBuilder(int) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- getOpBuilder(int) - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- getOpBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
repeated .tensorflow.OpGenOverride op = 1;
- getOpBuilderList() - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- getOpBuilderList() - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- getOpBuilderList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
repeated .tensorflow.OpGenOverride op = 1;
- getOpByName(String) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- getOpByName(String) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
This method returns Op instance if opName exists, null otherwise
- getOpBytes() - Method in class org.tensorflow.framework.KernelDef.Builder
-
Must match the name of an Op.
- getOpBytes() - Method in class org.tensorflow.framework.KernelDef
-
Must match the name of an Op.
- getOpBytes() - Method in interface org.tensorflow.framework.KernelDefOrBuilder
-
Must match the name of an Op.
- getOpBytes() - Method in class org.tensorflow.framework.NodeDef.Builder
-
The operation name.
- getOpBytes() - Method in class org.tensorflow.framework.NodeDef
-
The operation name.
- getOpBytes() - Method in interface org.tensorflow.framework.NodeDefOrBuilder
-
The operation name.
- getOpClass(Op) - Method in class org.nd4j.linalg.profiler.OpProfiler
-
This method returns op class opName
- getOpCount() - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- getOpCount() - Method in class org.tensorflow.framework.ApiDefs
-
repeated .tensorflow.ApiDef op = 1;
- getOpCount() - Method in interface org.tensorflow.framework.ApiDefsOrBuilder
-
repeated .tensorflow.ApiDef op = 1;
- getOpCount() - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- getOpCount() - Method in class org.tensorflow.framework.OpList
-
repeated .tensorflow.OpDef op = 1;
- getOpCount() - Method in interface org.tensorflow.framework.OpListOrBuilder
-
repeated .tensorflow.OpDef op = 1;
- getOpCount() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
repeated .tensorflow.OpGenOverride op = 1;
- getOpCount() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides
-
repeated .tensorflow.OpGenOverride op = 1;
- getOpCount() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverridesOrBuilder
-
repeated .tensorflow.OpGenOverride op = 1;
- getOpDefByTensorflowName(String) - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder
-
Get the op definition of a given
tensorflow op.
- getOpDescriptorForOnnx(String) - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder
-
- getOpEndRelMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 op_end_rel_micros = 4;
- getOpEndRelMicros() - Method in class org.tensorflow.framework.NodeExecStats
-
int64 op_end_rel_micros = 4;
- getOpEndRelMicros() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
int64 op_end_rel_micros = 4;
- getOperation() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the operation making the allocation.
- getOperation() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
Name of the operation making the allocation.
- getOperation() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Name of the operation making the allocation.
- getOperation() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the operation making the deallocation.
- getOperation() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
Name of the operation making the deallocation.
- getOperation() - Method in interface org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder
-
Name of the operation making the deallocation.
- getOperationBytes() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the operation making the allocation.
- getOperationBytes() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
Name of the operation making the allocation.
- getOperationBytes() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Name of the operation making the allocation.
- getOperationBytes() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the operation making the deallocation.
- getOperationBytes() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
Name of the operation making the deallocation.
- getOperationBytes() - Method in interface org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder
-
Name of the operation making the deallocation.
- getOperator(int) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- getOperator(int) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
The operators specified by this operator set.
- getOperator(int) - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
The operators specified by this operator set.
- getOperatorBuilder(int) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- getOperatorBuilderList() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- getOperatorCount() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- getOperatorCount() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
The operators specified by this operator set.
- getOperatorCount() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
The operators specified by this operator set.
- getOperatorList() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- getOperatorList() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
The operators specified by this operator set.
- getOperatorList() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
The operators specified by this operator set.
- getOperatorOrBuilder(int) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- getOperatorOrBuilder(int) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
The operators specified by this operator set.
- getOperatorOrBuilder(int) - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
The operators specified by this operator set.
- getOperatorOrBuilderList() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- getOperatorOrBuilderList() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
The operators specified by this operator set.
- getOperatorOrBuilderList() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
The operators specified by this operator set.
- getOpFactory() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the operation factory
- getOpList() - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- getOpList() - Method in class org.tensorflow.framework.ApiDefs
-
repeated .tensorflow.ApiDef op = 1;
- getOpList() - Method in interface org.tensorflow.framework.ApiDefsOrBuilder
-
repeated .tensorflow.ApiDef op = 1;
- getOpList() - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- getOpList() - Method in class org.tensorflow.framework.OpList
-
repeated .tensorflow.OpDef op = 1;
- getOpList() - Method in interface org.tensorflow.framework.OpListOrBuilder
-
repeated .tensorflow.OpDef op = 1;
- getOpList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
repeated .tensorflow.OpGenOverride op = 1;
- getOpList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides
-
repeated .tensorflow.OpGenOverride op = 1;
- getOpList() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverridesOrBuilder
-
repeated .tensorflow.OpGenOverride op = 1;
- getOpNum(String, Op.Type) - Static method in class org.nd4j.autodiff.samediff.SameDiff
-
This method return operation ID for given op name/type pair.
- getOpNumByName(String) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
This method returns op id number for given opName
- getOpNumByName(String) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
This method returns op id number for given opName
- getOpNumIfExists(String) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- getOpNumIfExists(String) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
This method returns op id number if opName exists, or -1 otherwise
- getOpOrBuilder(int) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- getOpOrBuilder(int) - Method in class org.tensorflow.framework.ApiDefs
-
repeated .tensorflow.ApiDef op = 1;
- getOpOrBuilder(int) - Method in interface org.tensorflow.framework.ApiDefsOrBuilder
-
repeated .tensorflow.ApiDef op = 1;
- getOpOrBuilder(int) - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- getOpOrBuilder(int) - Method in class org.tensorflow.framework.OpList
-
repeated .tensorflow.OpDef op = 1;
- getOpOrBuilder(int) - Method in interface org.tensorflow.framework.OpListOrBuilder
-
repeated .tensorflow.OpDef op = 1;
- getOpOrBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
repeated .tensorflow.OpGenOverride op = 1;
- getOpOrBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides
-
repeated .tensorflow.OpGenOverride op = 1;
- getOpOrBuilder(int) - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverridesOrBuilder
-
repeated .tensorflow.OpGenOverride op = 1;
- getOpOrBuilderList() - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- getOpOrBuilderList() - Method in class org.tensorflow.framework.ApiDefs
-
repeated .tensorflow.ApiDef op = 1;
- getOpOrBuilderList() - Method in interface org.tensorflow.framework.ApiDefsOrBuilder
-
repeated .tensorflow.ApiDef op = 1;
- getOpOrBuilderList() - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- getOpOrBuilderList() - Method in class org.tensorflow.framework.OpList
-
repeated .tensorflow.OpDef op = 1;
- getOpOrBuilderList() - Method in interface org.tensorflow.framework.OpListOrBuilder
-
repeated .tensorflow.OpDef op = 1;
- getOpOrBuilderList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
repeated .tensorflow.OpGenOverride op = 1;
- getOpOrBuilderList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides
-
repeated .tensorflow.OpGenOverride op = 1;
- getOpOrBuilderList() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverridesOrBuilder
-
repeated .tensorflow.OpGenOverride op = 1;
- getOpsetImport(int) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImport(int) - Method in class onnx.OnnxMlProto3.ModelProto
-
The OperatorSets this model relies on.
- getOpsetImport(int) - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The OperatorSets this model relies on.
- getOpsetImport(int) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImport(int) - Method in class onnx.OnnxProto3.ModelProto
-
The OperatorSets this model relies on.
- getOpsetImport(int) - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The OperatorSets this model relies on.
- getOpsetImportBuilder(int) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportBuilder(int) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportBuilderList() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportBuilderList() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportCount() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportCount() - Method in class onnx.OnnxMlProto3.ModelProto
-
The OperatorSets this model relies on.
- getOpsetImportCount() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The OperatorSets this model relies on.
- getOpsetImportCount() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportCount() - Method in class onnx.OnnxProto3.ModelProto
-
The OperatorSets this model relies on.
- getOpsetImportCount() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The OperatorSets this model relies on.
- getOpsetImportList() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportList() - Method in class onnx.OnnxMlProto3.ModelProto
-
The OperatorSets this model relies on.
- getOpsetImportList() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The OperatorSets this model relies on.
- getOpsetImportList() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportList() - Method in class onnx.OnnxProto3.ModelProto
-
The OperatorSets this model relies on.
- getOpsetImportList() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilder(int) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilder(int) - Method in class onnx.OnnxMlProto3.ModelProto
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilder(int) - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilder(int) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilder(int) - Method in class onnx.OnnxProto3.ModelProto
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilder(int) - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilderList() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilderList() - Method in class onnx.OnnxMlProto3.ModelProto
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilderList() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilderList() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilderList() - Method in class onnx.OnnxProto3.ModelProto
-
The OperatorSets this model relies on.
- getOpsetImportOrBuilderList() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The OperatorSets this model relies on.
- getOpsetVersion() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The version of the set of operators.
- getOpsetVersion() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
The version of the set of operators.
- getOpsetVersion() - Method in interface onnx.OnnxOperatorsProto3.OperatorSetProtoOrBuilder
-
The version of the set of operators.
- getOpStartRelMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 op_start_rel_micros = 3;
- getOpStartRelMicros() - Method in class org.tensorflow.framework.NodeExecStats
-
int64 op_start_rel_micros = 3;
- getOpStartRelMicros() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
int64 op_start_rel_micros = 3;
- getOpType() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
The symbolic identifier of the Operator to execute.
- getOpType() - Method in class onnx.OnnxMlProto3.NodeProto
-
The symbolic identifier of the Operator to execute.
- getOpType() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
The symbolic identifier of the Operator to execute.
- getOpType() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
The name of the operator within a domain.
- getOpType() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
The name of the operator within a domain.
- getOpType() - Method in interface onnx.OnnxOperatorsProto3.OperatorProtoOrBuilder
-
The name of the operator within a domain.
- getOpType() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
The symbolic identifier of the Operator to execute.
- getOpType() - Method in class onnx.OnnxProto3.NodeProto
-
The symbolic identifier of the Operator to execute.
- getOpType() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
The symbolic identifier of the Operator to execute.
- getOpType(NODE_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
- getOpType(OnnxProto3.NodeProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getOpType(NodeDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getOpType() - Method in interface org.nd4j.linalg.api.ops.Accumulation
-
- getOpType(Op) - Static method in class org.nd4j.linalg.api.ops.BaseOp
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.AMax
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.AMin
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.ASum
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.Bias
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.CountNonZero
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.CountZero
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.HammingDistance
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.JaccardDistance
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.Dot
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.Entropy
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.EqualsWithEps
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.LogEntropy
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.LogSumExp
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.MatchCondition
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.Max
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.Min
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.Norm1
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.Norm2
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.NormMax
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.Prod
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.ShannonEntropy
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.Sum
-
- getOpType() - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- getOpTypeBytes() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
The symbolic identifier of the Operator to execute.
- getOpTypeBytes() - Method in class onnx.OnnxMlProto3.NodeProto
-
The symbolic identifier of the Operator to execute.
- getOpTypeBytes() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
The symbolic identifier of the Operator to execute.
- getOpTypeBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
The name of the operator within a domain.
- getOpTypeBytes() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
The name of the operator within a domain.
- getOpTypeBytes() - Method in interface onnx.OnnxOperatorsProto3.OperatorProtoOrBuilder
-
The name of the operator within a domain.
- getOpTypeBytes() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
The symbolic identifier of the Operator to execute.
- getOpTypeBytes() - Method in class onnx.OnnxProto3.NodeProto
-
The symbolic identifier of the Operator to execute.
- getOpTypeBytes() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
The symbolic identifier of the Operator to execute.
- getOpWithOnnxName(String) - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder
-
- getOpWithTensorflowName(String) - Method in class org.nd4j.imports.converters.DifferentialFunctionClassHolder
-
Get the
- getOrder(int[], int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Infer order from
- getOrder(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Infer the order for the ndarray based on the
array's strides
- getOrderAsByte() - Static method in class org.nd4j.autodiff.samediff.SameDiff
-
This method returns current byte order for this JVM as libnd4j enum
- getOrderFromByte(byte) - Static method in class org.nd4j.autodiff.samediff.SameDiff
-
This method just converts enums
- getOriginalShapeForPlaceHolder(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get the original shape for the vertex id if one was set
(other wise returns null).
- getOutArg(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArg(int) - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArg(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgCount() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgCount() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgCount() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgList() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgOrBuilder(int) - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgOrBuilder(int) - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgOrBuilderList() - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgOrBuilderList() - Method in class org.tensorflow.framework.ApiDef
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutArgOrBuilderList() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- getOutput(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutput(int) - Method in class onnx.OnnxMlProto3.GraphProto
-
repeated .onnx.ValueInfoProto output = 12;
- getOutput(int) - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutput(int) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- getOutput(int) - Method in class onnx.OnnxMlProto3.NodeProto
-
namespace Value
- getOutput(int) - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
namespace Value
- getOutput(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutput(int) - Method in class onnx.OnnxProto3.GraphProto
-
repeated .onnx.ValueInfoProto output = 12;
- getOutput(int) - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutput(int) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- getOutput(int) - Method in class onnx.OnnxProto3.NodeProto
-
namespace Value
- getOutput(int) - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
namespace Value
- getOutput(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutput(int) - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.NodeOutput output = 7;
- getOutput(int) - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputArg(int) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- getOutputArg(int) - Method in class org.tensorflow.framework.OpDef
-
Description of the output(s).
- getOutputArg(int) - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Description of the output(s).
- getOutputArgBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- getOutputArgBuilderList() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- getOutputArgCount() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- getOutputArgCount() - Method in class org.tensorflow.framework.OpDef
-
Description of the output(s).
- getOutputArgCount() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Description of the output(s).
- getOutputArgList() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- getOutputArgList() - Method in class org.tensorflow.framework.OpDef
-
Description of the output(s).
- getOutputArgList() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Description of the output(s).
- getOutputArgOrBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- getOutputArgOrBuilder(int) - Method in class org.tensorflow.framework.OpDef
-
Description of the output(s).
- getOutputArgOrBuilder(int) - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Description of the output(s).
- getOutputArgOrBuilderList() - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- getOutputArgOrBuilderList() - Method in class org.tensorflow.framework.OpDef
-
Description of the output(s).
- getOutputArgOrBuilderList() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
Description of the output(s).
- getOutputArgument(int) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- getOutputArgument(int) - Method in interface org.nd4j.linalg.api.ops.CustomOp
-
- getOutputArgument(int) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- getOutputArgument(int) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
-
- getOutputArgument(int) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
-
- getOutputBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputBuilderList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputBuilderList() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputBytes(int) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- getOutputBytes(int) - Method in class onnx.OnnxMlProto3.NodeProto
-
namespace Value
- getOutputBytes(int) - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
namespace Value
- getOutputBytes(int) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- getOutputBytes(int) - Method in class onnx.OnnxProto3.NodeProto
-
namespace Value
- getOutputBytes(int) - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
namespace Value
- getOutputCount() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputCount() - Method in class onnx.OnnxMlProto3.GraphProto
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputCount() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputCount() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- getOutputCount() - Method in class onnx.OnnxMlProto3.NodeProto
-
namespace Value
- getOutputCount() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
namespace Value
- getOutputCount() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputCount() - Method in class onnx.OnnxProto3.GraphProto
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputCount() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputCount() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- getOutputCount() - Method in class onnx.OnnxProto3.NodeProto
-
namespace Value
- getOutputCount() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
namespace Value
- getOutputCount() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
int32 output_count = 7;
- getOutputCount() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
-
int32 output_count = 7;
- getOutputCount() - Method in interface org.tensorflow.framework.GraphTransferInfo.NodeInfoOrBuilder
-
int32 output_count = 7;
- getOutputCount() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputCount() - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputCount() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputInfo(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfo(int) - Method in class org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfo(int) - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoCount() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoCount() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoCount() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoList() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoList() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoList() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoOrBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoOrBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoOrBuilder(int) - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoOrBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoOrBuilderList() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputInfoOrBuilderList() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- getOutputList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputList() - Method in class onnx.OnnxMlProto3.GraphProto
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputList() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputList() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- getOutputList() - Method in class onnx.OnnxMlProto3.NodeProto
-
namespace Value
- getOutputList() - Method in interface onnx.OnnxMlProto3.NodeProtoOrBuilder
-
namespace Value
- getOutputList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputList() - Method in class onnx.OnnxProto3.GraphProto
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputList() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputList() - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- getOutputList() - Method in class onnx.OnnxProto3.NodeProto
-
namespace Value
- getOutputList() - Method in interface onnx.OnnxProto3.NodeProtoOrBuilder
-
namespace Value
- getOutputList() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputList() - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputList() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputOrBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilder(int) - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilder(int) - Method in class onnx.OnnxProto3.GraphProto
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilder(int) - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputOrBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputOrBuilder(int) - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputOrBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilderList() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilderList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilderList() - Method in class onnx.OnnxProto3.GraphProto
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilderList() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
repeated .onnx.ValueInfoProto output = 12;
- getOutputOrBuilderList() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputOrBuilderList() - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputOrBuilderList() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.NodeOutput output = 7;
- getOutputPort() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
-
int32 output_port = 2;
- getOutputPort() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput
-
int32 output_port = 2;
- getOutputPort() - Method in interface org.tensorflow.framework.GraphTransferInfo.NodeInputOrBuilder
-
int32 output_port = 2;
- getOutputRename(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- getOutputRename(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- getOutputRename(int) - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- getOutputRenameBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- getOutputRenameBuilderList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- getOutputRenameCount() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- getOutputRenameCount() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- getOutputRenameCount() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- getOutputRenameList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- getOutputRenameList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- getOutputRenameList() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- getOutputRenameOrBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- getOutputRenameOrBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- getOutputRenameOrBuilder(int) - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- getOutputRenameOrBuilderList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- getOutputRenameOrBuilderList() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- getOutputRenameOrBuilderList() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- getOutputsForFunction(DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Returns the outputs for the given function
- getOutputStats(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Get normalization statistics for a given output.
- getOutputStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Get the map of normalization statistics per output
- getOutputVariablesForFunction(DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- getPaddingId() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
int32 padding_id = 5;
- getPaddingId() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
-
int32 padding_id = 5;
- getPaddingId() - Method in interface org.tensorflow.framework.GraphTransferInfo.NodeInfoOrBuilder
-
int32 padding_id = 5;
- getParametersViewArray() - Method in class org.nd4j.linalg.activations.BaseActivationFunction
-
- getParametersViewArray() - Method in interface org.nd4j.linalg.activations.IActivation
-
- getParentWorkspace() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method returns parent Workspace, if any.
- getParentWorkspace() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns parent Workspace, if any.
- getParserForType() - Method in class onnx.OnnxMlProto3.AttributeProto
-
- getParserForType() - Method in class onnx.OnnxMlProto3.GraphProto
-
- getParserForType() - Method in class onnx.OnnxMlProto3.ModelProto
-
- getParserForType() - Method in class onnx.OnnxMlProto3.NodeProto
-
- getParserForType() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto
-
- getParserForType() - Method in class onnx.OnnxMlProto3.StringStringEntryProto
-
- getParserForType() - Method in class onnx.OnnxMlProto3.TensorProto
-
- getParserForType() - Method in class onnx.OnnxMlProto3.TensorProto.Segment
-
- getParserForType() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
-
- getParserForType() - Method in class onnx.OnnxMlProto3.TensorShapeProto
-
- getParserForType() - Method in class onnx.OnnxMlProto3.TypeProto
-
- getParserForType() - Method in class onnx.OnnxMlProto3.TypeProto.Map
-
- getParserForType() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence
-
- getParserForType() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor
-
- getParserForType() - Method in class onnx.OnnxMlProto3.ValueInfoProto
-
- getParserForType() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
- getParserForType() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
- getParserForType() - Method in class onnx.OnnxProto3.AttributeProto
-
- getParserForType() - Method in class onnx.OnnxProto3.GraphProto
-
- getParserForType() - Method in class onnx.OnnxProto3.ModelProto
-
- getParserForType() - Method in class onnx.OnnxProto3.NodeProto
-
- getParserForType() - Method in class onnx.OnnxProto3.OperatorSetIdProto
-
- getParserForType() - Method in class onnx.OnnxProto3.StringStringEntryProto
-
- getParserForType() - Method in class onnx.OnnxProto3.TensorProto
-
- getParserForType() - Method in class onnx.OnnxProto3.TensorProto.Segment
-
- getParserForType() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension
-
- getParserForType() - Method in class onnx.OnnxProto3.TensorShapeProto
-
- getParserForType() - Method in class onnx.OnnxProto3.TypeProto
-
- getParserForType() - Method in class onnx.OnnxProto3.TypeProto.Tensor
-
- getParserForType() - Method in class onnx.OnnxProto3.ValueInfoProto
-
- getParserForType() - Method in class org.tensorflow.framework.AllocationDescription
-
- getParserForType() - Method in class org.tensorflow.framework.AllocationRecord
-
- getParserForType() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
- getParserForType() - Method in class org.tensorflow.framework.ApiDef.Arg
-
- getParserForType() - Method in class org.tensorflow.framework.ApiDef.Attr
-
- getParserForType() - Method in class org.tensorflow.framework.ApiDef.Endpoint
-
- getParserForType() - Method in class org.tensorflow.framework.ApiDef
-
- getParserForType() - Method in class org.tensorflow.framework.ApiDefs
-
- getParserForType() - Method in class org.tensorflow.framework.AttrValue
-
- getParserForType() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
- getParserForType() - Method in class org.tensorflow.framework.CostGraphDef
-
- getParserForType() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
- getParserForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
- getParserForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- getParserForType() - Method in class org.tensorflow.framework.DeviceAttributes
-
- getParserForType() - Method in class org.tensorflow.framework.DeviceLocality
-
- getParserForType() - Method in class org.tensorflow.framework.DeviceStepStats
-
- getParserForType() - Method in class org.tensorflow.framework.FunctionDef
-
- getParserForType() - Method in class org.tensorflow.framework.FunctionDefLibrary
-
- getParserForType() - Method in class org.tensorflow.framework.GradientDef
-
- getParserForType() - Method in class org.tensorflow.framework.GraphDef
-
- getParserForType() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
-
- getParserForType() - Method in class org.tensorflow.framework.GraphTransferInfo
-
- getParserForType() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
-
- getParserForType() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
-
- getParserForType() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
-
- getParserForType() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput
-
- getParserForType() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo
-
- getParserForType() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo
-
- getParserForType() - Method in class org.tensorflow.framework.HistogramProto
-
- getParserForType() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint
-
- getParserForType() - Method in class org.tensorflow.framework.KernelDef
-
- getParserForType() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
- getParserForType() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
- getParserForType() - Method in class org.tensorflow.framework.MemoryLogStep
-
- getParserForType() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
- getParserForType() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation
-
- getParserForType() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
-
- getParserForType() - Method in class org.tensorflow.framework.MemoryStats
-
- getParserForType() - Method in class org.tensorflow.framework.NameAttrList
-
- getParserForType() - Method in class org.tensorflow.framework.NodeDef
-
- getParserForType() - Method in class org.tensorflow.framework.NodeExecStats
-
- getParserForType() - Method in class org.tensorflow.framework.NodeOutput
-
- getParserForType() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
- getParserForType() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
- getParserForType() - Method in class org.tensorflow.framework.OpDef
-
- getParserForType() - Method in class org.tensorflow.framework.OpDeprecation
-
- getParserForType() - Method in class org.tensorflow.framework.OpList
-
- getParserForType() - Method in class org.tensorflow.framework.ReaderBaseState
-
- getParserForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- getParserForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
- getParserForType() - Method in class org.tensorflow.framework.ResourceHandleProto
-
- getParserForType() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
- getParserForType() - Method in class org.tensorflow.framework.StepStats
-
- getParserForType() - Method in class org.tensorflow.framework.Summary.Audio
-
- getParserForType() - Method in class org.tensorflow.framework.Summary
-
- getParserForType() - Method in class org.tensorflow.framework.Summary.Image
-
- getParserForType() - Method in class org.tensorflow.framework.Summary.Value
-
- getParserForType() - Method in class org.tensorflow.framework.SummaryDescription
-
- getParserForType() - Method in class org.tensorflow.framework.SummaryMetadata
-
- getParserForType() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData
-
- getParserForType() - Method in class org.tensorflow.framework.TensorDescription
-
- getParserForType() - Method in class org.tensorflow.framework.TensorProto
-
- getParserForType() - Method in class org.tensorflow.framework.TensorShapeProto.Dim
-
- getParserForType() - Method in class org.tensorflow.framework.TensorShapeProto
-
- getParserForType() - Method in class org.tensorflow.framework.TensorSliceProto.Extent
-
- getParserForType() - Method in class org.tensorflow.framework.TensorSliceProto
-
- getParserForType() - Method in class org.tensorflow.framework.VariableDef
-
- getParserForType() - Method in class org.tensorflow.framework.VariantTensorDataProto
-
- getParserForType() - Method in class org.tensorflow.framework.VersionDef
-
- getParserForType() - Method in class org.tensorflow.util.IteratorStateMetadata
-
- getParserForType() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault
-
- getParserForType() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
- getParserForType() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename
-
- getParserForType() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides
-
- getPeakBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
int64 peak_bytes = 3;
- getPeakBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
int64 peak_bytes = 3;
- getPeakBytes() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
int64 peak_bytes = 3;
- getPercentile(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getPercentile(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getPermutedWithShape(char, int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getPermutedWithShape(int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getPFactor(int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- getPFactor(int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLapack
-
- getPFactor(int, INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
This method takes one of the ipiv returns from LAPACK and creates
the permutation matrix.
- getPhysicalDeviceDesc() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of the physical device that this device maps to.
- getPhysicalDeviceDesc() - Method in class org.tensorflow.framework.DeviceAttributes
-
String representation of the physical device that this device maps to.
- getPhysicalDeviceDesc() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder
-
String representation of the physical device that this device maps to.
- getPhysicalDeviceDescBytes() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of the physical device that this device maps to.
- getPhysicalDeviceDescBytes() - Method in class org.tensorflow.framework.DeviceAttributes
-
String representation of the physical device that this device maps to.
- getPhysicalDeviceDescBytes() - Method in interface org.tensorflow.framework.DeviceAttributesOrBuilder
-
String representation of the physical device that this device maps to.
- getPinnedSize() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of bytes in pinned allocations.
- getPlaceholder() - Method in class org.tensorflow.framework.AttrValue.Builder
-
This is a placeholder only used in nodes defined inside a
function.
- getPlaceholder() - Method in class org.tensorflow.framework.AttrValue
-
This is a placeholder only used in nodes defined inside a
function.
- getPlaceholder() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
This is a placeholder only used in nodes defined inside a
function.
- getPlaceholderBytes() - Method in class org.tensorflow.framework.AttrValue.Builder
-
This is a placeholder only used in nodes defined inside a
function.
- getPlaceholderBytes() - Method in class org.tensorflow.framework.AttrValue
-
This is a placeholder only used in nodes defined inside a
function.
- getPlaceholderBytes() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
This is a placeholder only used in nodes defined inside a
function.
- getPlaceHoldersFor(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get the place holders for a given
vertex id.
- getPluginData() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Data that associates a summary with a certain plugin.
- getPluginData() - Method in class org.tensorflow.framework.SummaryMetadata
-
Data that associates a summary with a certain plugin.
- getPluginData() - Method in interface org.tensorflow.framework.SummaryMetadataOrBuilder
-
Data that associates a summary with a certain plugin.
- getPluginDataBuilder() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Data that associates a summary with a certain plugin.
- getPluginDataOrBuilder() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Data that associates a summary with a certain plugin.
- getPluginDataOrBuilder() - Method in class org.tensorflow.framework.SummaryMetadata
-
Data that associates a summary with a certain plugin.
- getPluginDataOrBuilder() - Method in interface org.tensorflow.framework.SummaryMetadataOrBuilder
-
Data that associates a summary with a certain plugin.
- getPluginName() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
The name of the plugin this data pertains to.
- getPluginName() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData
-
The name of the plugin this data pertains to.
- getPluginName() - Method in interface org.tensorflow.framework.SummaryMetadata.PluginDataOrBuilder
-
The name of the plugin this data pertains to.
- getPluginNameBytes() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
The name of the plugin this data pertains to.
- getPluginNameBytes() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData
-
The name of the plugin this data pertains to.
- getPluginNameBytes() - Method in interface org.tensorflow.framework.SummaryMetadata.PluginDataOrBuilder
-
The name of the plugin this data pertains to.
- getPointerB() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
- getPointerBArray() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
- getPointerE() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
- getPointerEArray() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
- getPoolingPrefix() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D
-
- getPoolingPrefix() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D
-
- getPoolingPrefix() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D
-
- getPoolingPrefix() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D
-
- getPrecedingNode() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
int32 preceding_node = 1;
- getPrecedingNode() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
int32 preceding_node = 1;
- getPrecedingNode() - Method in interface org.tensorflow.framework.CostGraphDef.Node.InputInfoOrBuilder
-
int32 preceding_node = 1;
- getPrecedingPort() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
int32 preceding_port = 2;
- getPrecedingPort() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
int32 preceding_port = 2;
- getPrecedingPort() - Method in interface org.tensorflow.framework.CostGraphDef.Node.InputInfoOrBuilder
-
int32 preceding_port = 2;
- getPredicate() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.IfDerivative
-
- getPredicate() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.WhileDerivative
-
- getPredicateExecution() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.IfDerivative
-
- getPredicateExecution() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.WhileDerivative
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- getPreProcessor() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
Returns preprocessors, if defined
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
- getPreProcessor() - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- getProbabilityOfSuccess() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Access the probability of success for this distribution.
- getProducer() - Method in class org.tensorflow.framework.VersionDef.Builder
-
The version of the code that produced this data.
- getProducer() - Method in class org.tensorflow.framework.VersionDef
-
The version of the code that produced this data.
- getProducer() - Method in interface org.tensorflow.framework.VersionDefOrBuilder
-
The version of the code that produced this data.
- getProducerName() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The name of the framework or tool used to generate this model.
- getProducerName() - Method in class onnx.OnnxMlProto3.ModelProto
-
The name of the framework or tool used to generate this model.
- getProducerName() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The name of the framework or tool used to generate this model.
- getProducerName() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The name of the framework or tool used to generate this model.
- getProducerName() - Method in class onnx.OnnxProto3.ModelProto
-
The name of the framework or tool used to generate this model.
- getProducerName() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The name of the framework or tool used to generate this model.
- getProducerNameBytes() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The name of the framework or tool used to generate this model.
- getProducerNameBytes() - Method in class onnx.OnnxMlProto3.ModelProto
-
The name of the framework or tool used to generate this model.
- getProducerNameBytes() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The name of the framework or tool used to generate this model.
- getProducerNameBytes() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The name of the framework or tool used to generate this model.
- getProducerNameBytes() - Method in class onnx.OnnxProto3.ModelProto
-
The name of the framework or tool used to generate this model.
- getProducerNameBytes() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The name of the framework or tool used to generate this model.
- getProducerVersion() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the framework or tool used to generate this model.
- getProducerVersion() - Method in class onnx.OnnxMlProto3.ModelProto
-
The version of the framework or tool used to generate this model.
- getProducerVersion() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The version of the framework or tool used to generate this model.
- getProducerVersion() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the framework or tool used to generate this model.
- getProducerVersion() - Method in class onnx.OnnxProto3.ModelProto
-
The version of the framework or tool used to generate this model.
- getProducerVersion() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The version of the framework or tool used to generate this model.
- getProducerVersionBytes() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the framework or tool used to generate this model.
- getProducerVersionBytes() - Method in class onnx.OnnxMlProto3.ModelProto
-
The version of the framework or tool used to generate this model.
- getProducerVersionBytes() - Method in interface onnx.OnnxMlProto3.ModelProtoOrBuilder
-
The version of the framework or tool used to generate this model.
- getProducerVersionBytes() - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the framework or tool used to generate this model.
- getProducerVersionBytes() - Method in class onnx.OnnxProto3.ModelProto
-
The version of the framework or tool used to generate this model.
- getProducerVersionBytes() - Method in interface onnx.OnnxProto3.ModelProtoOrBuilder
-
The version of the framework or tool used to generate this model.
- getProfilingMode() - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
-
Ths method returns current profiling
- getProfilingMode() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- getProfilingMode() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Ths method returns current profiling
- getPropertyForFunction(DifferentialFunction, String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get the property for a given function
- getPtr() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Address of the allocation.
- getPtr() - Method in class org.tensorflow.framework.AllocationDescription
-
Address of the allocation.
- getPtr() - Method in interface org.tensorflow.framework.AllocationDescriptionOrBuilder
-
Address of the allocation.
- getPtr() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Address of the allocation.
- getPtr() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
Address of the allocation.
- getPtr() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Address of the allocation.
- getQueueLength() - Method in interface org.nd4j.linalg.api.ops.executioner.GridExecutioner
-
This method returns number of operations currently enqueued for execution
- getRandom() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the current random generator
- getRandom() - Method in class org.nd4j.linalg.factory.RandomFactory
-
This method returns Random implementation instance associated with calling thread
- getRandomBroadCastShape(long, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
Create an ndarray
of
- getRandomFactory() - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns RandomFactory instance
- getRandomGenerator() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- getRange(int, int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getRange() - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats
-
Get the feature wise
range for the statistics.
- getRange(int, int) - Method in class org.nd4j.linalg.dataset.DataSet
-
- getRawData() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
Serializations can either use one of the fields above, or use this
raw bytes field.
- getRawData() - Method in class onnx.OnnxMlProto3.TensorProto
-
Serializations can either use one of the fields above, or use this
raw bytes field.
- getRawData() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
Serializations can either use one of the fields above, or use this
raw bytes field.
- getRawData() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
Serializations can either use one of the fields above, or use this
raw bytes field.
- getRawData() - Method in class onnx.OnnxProto3.TensorProto
-
Serializations can either use one of the fields above, or use this
raw bytes field.
- getRawData() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
Serializations can either use one of the fields above, or use this
raw bytes field.
- getReal() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- getReal(int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- getReal(int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Get the real component at the specified index
- getReal() - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Gets the real portion of this complex ndarray
- getRealArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- getRealArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- getReducedShape(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the shape of the reduced array
- getReducedShape(int[], int[], boolean, boolean) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the shape of the reduced array
- getReductionLength(DifferentialFunction) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- getReferencedTensor(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensor(int) - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensor(int) - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorBuilderList() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorCount() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorCount() - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorCount() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorList() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorList() - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorList() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorOrBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorOrBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorOrBuilder(int) - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorOrBuilderList() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorOrBuilderList() - Method in class org.tensorflow.framework.NodeExecStats
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferencedTensorOrBuilderList() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- getReferences() - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- getReferences() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- getRemoteGraph() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Definition of remote graph
- getRemoteGraph() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Definition of remote graph
- getRemoteGraph() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Definition of remote graph
- getRemoteGraphBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Definition of remote graph
- getRemoteGraphOrBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Definition of remote graph
- getRemoteGraphOrBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Definition of remote graph
- getRemoteGraphOrBuilder() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Definition of remote graph
- getRenameTo() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- getRenameTo() - Method in class org.tensorflow.framework.ApiDef.Arg
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- getRenameTo() - Method in interface org.tensorflow.framework.ApiDef.ArgOrBuilder
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- getRenameTo() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- getRenameTo() - Method in class org.tensorflow.framework.ApiDef.Attr
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- getRenameTo() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- getRenameTo() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Use a different name in the API than the op's name.
- getRenameTo() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
Use a different name in the API than the op's name.
- getRenameTo() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
Use a different name in the API than the op's name.
- getRenameToBytes() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- getRenameToBytes() - Method in class org.tensorflow.framework.ApiDef.Arg
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- getRenameToBytes() - Method in interface org.tensorflow.framework.ApiDef.ArgOrBuilder
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- getRenameToBytes() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- getRenameToBytes() - Method in class org.tensorflow.framework.ApiDef.Attr
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- getRenameToBytes() - Method in interface org.tensorflow.framework.ApiDef.AttrOrBuilder
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- getRenameToBytes() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Use a different name in the API than the op's name.
- getRenameToBytes() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
Use a different name in the API than the op's name.
- getRenameToBytes() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
Use a different name in the API than the op's name.
- getRequestedBytes() - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Total number of bytes requested
- getRequestedBytes() - Method in class org.tensorflow.framework.AllocationDescription
-
Total number of bytes requested
- getRequestedBytes() - Method in interface org.tensorflow.framework.AllocationDescriptionOrBuilder
-
Total number of bytes requested
- getRequiredBatchMemorySize() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
This method returns amount of memory required for batch creation for this specific Aggregate
- getRequiredBatchMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- getReshapedWithShape(char, int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getReshapedWithShape(int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getResourceHandleVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- getResourceHandleVal(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_RESOURCE
- getResourceHandleVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_RESOURCE
- getResourceHandleValBuilder(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- getResourceHandleValBuilderList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- getResourceHandleValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- getResourceHandleValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_RESOURCE
- getResourceHandleValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_RESOURCE
- getResourceHandleValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- getResourceHandleValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_RESOURCE
- getResourceHandleValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_RESOURCE
- getResourceHandleValOrBuilder(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- getResourceHandleValOrBuilder(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_RESOURCE
- getResourceHandleValOrBuilder(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_RESOURCE
- getResourceHandleValOrBuilderList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- getResourceHandleValOrBuilderList() - Method in class org.tensorflow.framework.TensorProto
-
DT_RESOURCE
- getResourceHandleValOrBuilderList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_RESOURCE
- getRet() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
Deprecated.
- getRet() - Method in class org.tensorflow.framework.FunctionDef
-
Deprecated.
- getRet() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
Deprecated.
- getRetCount() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- getRetCount() - Method in class org.tensorflow.framework.FunctionDef
-
- getRetCount() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetMap() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetMap() - Method in class org.tensorflow.framework.FunctionDef
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetMap() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetOrDefault(String, String) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetOrDefault(String, String) - Method in class org.tensorflow.framework.FunctionDef
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetOrDefault(String, String) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetOrThrow(String) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetOrThrow(String) - Method in class org.tensorflow.framework.FunctionDef
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRetOrThrow(String) - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
A mapping from the output arg names from `signature` to the
outputs from `node_def` that should be returned by the function.
- getRewindPosition(String) - Method in class org.nd4j.autodiff.samediff.flow.FlowPath
-
This method returns planned position within graph for next rewind.
- getrf(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- getrf(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLapack
-
- getrf(INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
LU decomposiiton of a matrix
Factorize a matrix A
The matrix A is overridden by the L & U combined.
- getri(int, INDArray, int, int[], INDArray, int, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLapack
-
- getri(int, INDArray, int, int[], INDArray, int, int) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
Generate inverse ggiven LU decomp
- getRootAsFlatArray(ByteBuffer) - Static method in class org.nd4j.graph.FlatArray
-
- getRootAsFlatArray(ByteBuffer, FlatArray) - Static method in class org.nd4j.graph.FlatArray
-
- getRootAsFlatConfiguration(ByteBuffer) - Static method in class org.nd4j.graph.FlatConfiguration
-
- getRootAsFlatConfiguration(ByteBuffer, FlatConfiguration) - Static method in class org.nd4j.graph.FlatConfiguration
-
- getRootAsFlatGraph(ByteBuffer) - Static method in class org.nd4j.graph.FlatGraph
-
- getRootAsFlatGraph(ByteBuffer, FlatGraph) - Static method in class org.nd4j.graph.FlatGraph
-
- getRootAsFlatNode(ByteBuffer) - Static method in class org.nd4j.graph.FlatNode
-
- getRootAsFlatNode(ByteBuffer, FlatNode) - Static method in class org.nd4j.graph.FlatNode
-
- getRootAsFlatProperties(ByteBuffer) - Static method in class org.nd4j.graph.FlatProperties
-
- getRootAsFlatProperties(ByteBuffer, FlatProperties) - Static method in class org.nd4j.graph.FlatProperties
-
- getRootAsFlatResult(ByteBuffer) - Static method in class org.nd4j.graph.FlatResult
-
- getRootAsFlatResult(ByteBuffer, FlatResult) - Static method in class org.nd4j.graph.FlatResult
-
- getRootAsFlatTiming(ByteBuffer) - Static method in class org.nd4j.graph.FlatTiming
-
- getRootAsFlatTiming(ByteBuffer, FlatTiming) - Static method in class org.nd4j.graph.FlatTiming
-
- getRootAsFlatVariable(ByteBuffer) - Static method in class org.nd4j.graph.FlatVariable
-
- getRootAsFlatVariable(ByteBuffer, FlatVariable) - Static method in class org.nd4j.graph.FlatVariable
-
- getRootAsIntPair(ByteBuffer) - Static method in class org.nd4j.graph.IntPair
-
- getRootAsIntPair(ByteBuffer, IntPair) - Static method in class org.nd4j.graph.IntPair
-
- getRootAsIntTriple(ByteBuffer) - Static method in class org.nd4j.graph.IntTriple
-
- getRootAsIntTriple(ByteBuffer, IntTriple) - Static method in class org.nd4j.graph.IntTriple
-
- getRootAsLongPair(ByteBuffer) - Static method in class org.nd4j.graph.LongPair
-
- getRootAsLongPair(ByteBuffer, LongPair) - Static method in class org.nd4j.graph.LongPair
-
- getRootDir() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- getRow(int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Get a copy of a row.
- getRow(int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns the specified row.
- getRow(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Get a copy of a row.
- getRow(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getRow(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the specified row.
- getRows(int[]) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Get whole rows from the passed indices.
- getRows(int[]) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- getRows(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Get whole rows from the passed indices.
- getRows(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getRows(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get an INDArray comprised of the specified rows only.
- getS() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
UTF-8 string
- getS() - Method in class onnx.OnnxMlProto3.AttributeProto
-
UTF-8 string
- getS() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
UTF-8 string
- getS() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
UTF-8 string
- getS() - Method in class onnx.OnnxProto3.AttributeProto
-
UTF-8 string
- getS() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
UTF-8 string
- getS() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"string"
- getS() - Method in class org.tensorflow.framework.AttrValue
-
"string"
- getS(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(string)"
- getS(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(string)"
- getS(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(string)"
- getS() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"string"
- getSampleRate() - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Sample rate of the audio in Hz.
- getSampleRate() - Method in class org.tensorflow.framework.Summary.Audio
-
Sample rate of the audio in Hz.
- getSampleRate() - Method in interface org.tensorflow.framework.Summary.AudioOrBuilder
-
Sample rate of the audio in Hz.
- getSaveSliceInfoDef() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Support for saving variables as slices of a larger variable.
- getSaveSliceInfoDef() - Method in class org.tensorflow.framework.VariableDef
-
Support for saving variables as slices of a larger variable.
- getSaveSliceInfoDef() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Support for saving variables as slices of a larger variable.
- getSaveSliceInfoDefBuilder() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Support for saving variables as slices of a larger variable.
- getSaveSliceInfoDefOrBuilder() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Support for saving variables as slices of a larger variable.
- getSaveSliceInfoDefOrBuilder() - Method in class org.tensorflow.framework.VariableDef
-
Support for saving variables as slices of a larger variable.
- getSaveSliceInfoDefOrBuilder() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Support for saving variables as slices of a larger variable.
- getScalar(int...) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Fetch a particular number on a multi dimensional scale.
- getScalar(int, int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Returns the element at the specified row/column
This will throw an exception if the
- getScalar(int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Returns the element at the specified index
- getScalar(int...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Fetch a particular number on a multi dimensional scale.
- getScalar(int, int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns the element at the specified row/column
This will throw an exception if the
- getScalar(int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns the element at the specified index
- getScalar(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the element at the specified row/column
This will throw an exception if the
- getScalar(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getScalar(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Fetch a particular number on a multi dimensional scale.
- getScalar(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getScalar(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getScalar(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getScalar(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getScalar(int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the element at the specified row/column
This will throw an exception if the
- getScalar(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the element at the specified index
- getScalar(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the elements at the the specified indices
- getScalarAggregator() - Method in class org.nd4j.linalg.profiler.OpProfiler
-
- getScheduledMicros() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 scheduled_micros = 9;
- getScheduledMicros() - Method in class org.tensorflow.framework.NodeExecStats
-
int64 scheduled_micros = 9;
- getScheduledMicros() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
int64 scheduled_micros = 9;
- getScomplexVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX64.
- getScomplexVal(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_COMPLEX64.
- getScomplexVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_COMPLEX64.
- getScomplexValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX64.
- getScomplexValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_COMPLEX64.
- getScomplexValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_COMPLEX64.
- getScomplexValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX64.
- getScomplexValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_COMPLEX64.
- getScomplexValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_COMPLEX64.
- getSCount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(string)"
- getSCount() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(string)"
- getSCount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(string)"
- getSecondOp() - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- getSecondOp() - Method in interface org.nd4j.linalg.api.ops.MetaOp
-
- getSecondOpDescriptor() - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- getSecondOpDescriptor() - Method in interface org.nd4j.linalg.api.ops.MetaOp
-
- getSeed() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- getSeed() - Method in interface org.nd4j.linalg.api.rng.Random
-
Gets the long seed of the underlying
random number generator.
- getSegment() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- getSegment() - Method in class onnx.OnnxMlProto3.TensorProto
-
.onnx.TensorProto.Segment segment = 3;
- getSegment() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
.onnx.TensorProto.Segment segment = 3;
- getSegment() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- getSegment() - Method in class onnx.OnnxProto3.TensorProto
-
.onnx.TensorProto.Segment segment = 3;
- getSegment() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
.onnx.TensorProto.Segment segment = 3;
- getSegmentBuilder() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- getSegmentBuilder() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- getSegmentOrBuilder() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- getSegmentOrBuilder() - Method in class onnx.OnnxMlProto3.TensorProto
-
.onnx.TensorProto.Segment segment = 3;
- getSegmentOrBuilder() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
.onnx.TensorProto.Segment segment = 3;
- getSegmentOrBuilder() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- getSegmentOrBuilder() - Method in class onnx.OnnxProto3.TensorProto
-
.onnx.TensorProto.Segment segment = 3;
- getSegmentOrBuilder() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
.onnx.TensorProto.Segment segment = 3;
- getSequenceType() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a sequence.
- getSequenceType() - Method in class onnx.OnnxMlProto3.TypeProto
-
The type of a sequence.
- getSequenceType() - Method in interface onnx.OnnxMlProto3.TypeProtoOrBuilder
-
The type of a sequence.
- getSequenceTypeBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a sequence.
- getSequenceTypeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a sequence.
- getSequenceTypeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto
-
The type of a sequence.
- getSequenceTypeOrBuilder() - Method in interface onnx.OnnxMlProto3.TypeProtoOrBuilder
-
The type of a sequence.
- getSerializedExecutorParameters() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Parameters given to the executor
- getSerializedExecutorParameters() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
Optional: Parameters given to the executor
- getSerializedExecutorParameters() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfoOrBuilder
-
Optional: Parameters given to the executor
- getSerializedSize() - Method in class onnx.OnnxMlProto3.AttributeProto
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.GraphProto
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.ModelProto
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.NodeProto
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.StringStringEntryProto
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.TensorProto
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.TensorProto.Segment
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.TensorShapeProto
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.TypeProto
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.TypeProto.Map
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor
-
- getSerializedSize() - Method in class onnx.OnnxMlProto3.ValueInfoProto
-
- getSerializedSize() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
- getSerializedSize() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
- getSerializedSize() - Method in class onnx.OnnxProto3.AttributeProto
-
- getSerializedSize() - Method in class onnx.OnnxProto3.GraphProto
-
- getSerializedSize() - Method in class onnx.OnnxProto3.ModelProto
-
- getSerializedSize() - Method in class onnx.OnnxProto3.NodeProto
-
- getSerializedSize() - Method in class onnx.OnnxProto3.OperatorSetIdProto
-
- getSerializedSize() - Method in class onnx.OnnxProto3.StringStringEntryProto
-
- getSerializedSize() - Method in class onnx.OnnxProto3.TensorProto
-
- getSerializedSize() - Method in class onnx.OnnxProto3.TensorProto.Segment
-
- getSerializedSize() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension
-
- getSerializedSize() - Method in class onnx.OnnxProto3.TensorShapeProto
-
- getSerializedSize() - Method in class onnx.OnnxProto3.TypeProto
-
- getSerializedSize() - Method in class onnx.OnnxProto3.TypeProto.Tensor
-
- getSerializedSize() - Method in class onnx.OnnxProto3.ValueInfoProto
-
- getSerializedSize() - Method in class org.tensorflow.framework.AllocationDescription
-
- getSerializedSize() - Method in class org.tensorflow.framework.AllocationRecord
-
- getSerializedSize() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
- getSerializedSize() - Method in class org.tensorflow.framework.ApiDef.Arg
-
- getSerializedSize() - Method in class org.tensorflow.framework.ApiDef.Attr
-
- getSerializedSize() - Method in class org.tensorflow.framework.ApiDef.Endpoint
-
- getSerializedSize() - Method in class org.tensorflow.framework.ApiDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.ApiDefs
-
- getSerializedSize() - Method in class org.tensorflow.framework.AttrValue
-
- getSerializedSize() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
- getSerializedSize() - Method in class org.tensorflow.framework.CostGraphDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
- getSerializedSize() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
- getSerializedSize() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- getSerializedSize() - Method in class org.tensorflow.framework.DeviceAttributes
-
- getSerializedSize() - Method in class org.tensorflow.framework.DeviceLocality
-
- getSerializedSize() - Method in class org.tensorflow.framework.DeviceStepStats
-
- getSerializedSize() - Method in class org.tensorflow.framework.FunctionDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.FunctionDefLibrary
-
- getSerializedSize() - Method in class org.tensorflow.framework.GradientDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.GraphDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
-
- getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferInfo
-
- getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
-
- getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
-
- getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
-
- getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput
-
- getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo
-
- getSerializedSize() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo
-
- getSerializedSize() - Method in class org.tensorflow.framework.HistogramProto
-
- getSerializedSize() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint
-
- getSerializedSize() - Method in class org.tensorflow.framework.KernelDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
- getSerializedSize() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
- getSerializedSize() - Method in class org.tensorflow.framework.MemoryLogStep
-
- getSerializedSize() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
- getSerializedSize() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation
-
- getSerializedSize() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
-
- getSerializedSize() - Method in class org.tensorflow.framework.MemoryStats
-
- getSerializedSize() - Method in class org.tensorflow.framework.NameAttrList
-
- getSerializedSize() - Method in class org.tensorflow.framework.NodeDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.NodeExecStats
-
- getSerializedSize() - Method in class org.tensorflow.framework.NodeOutput
-
- getSerializedSize() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.OpDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.OpDeprecation
-
- getSerializedSize() - Method in class org.tensorflow.framework.OpList
-
- getSerializedSize() - Method in class org.tensorflow.framework.ReaderBaseState
-
- getSerializedSize() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- getSerializedSize() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
- getSerializedSize() - Method in class org.tensorflow.framework.ResourceHandleProto
-
- getSerializedSize() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.StepStats
-
- getSerializedSize() - Method in class org.tensorflow.framework.Summary.Audio
-
- getSerializedSize() - Method in class org.tensorflow.framework.Summary
-
- getSerializedSize() - Method in class org.tensorflow.framework.Summary.Image
-
- getSerializedSize() - Method in class org.tensorflow.framework.Summary.Value
-
- getSerializedSize() - Method in class org.tensorflow.framework.SummaryDescription
-
- getSerializedSize() - Method in class org.tensorflow.framework.SummaryMetadata
-
- getSerializedSize() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData
-
- getSerializedSize() - Method in class org.tensorflow.framework.TensorDescription
-
- getSerializedSize() - Method in class org.tensorflow.framework.TensorProto
-
- getSerializedSize() - Method in class org.tensorflow.framework.TensorShapeProto.Dim
-
- getSerializedSize() - Method in class org.tensorflow.framework.TensorShapeProto
-
- getSerializedSize() - Method in class org.tensorflow.framework.TensorSliceProto.Extent
-
- getSerializedSize() - Method in class org.tensorflow.framework.TensorSliceProto
-
- getSerializedSize() - Method in class org.tensorflow.framework.VariableDef
-
- getSerializedSize() - Method in class org.tensorflow.framework.VariantTensorDataProto
-
- getSerializedSize() - Method in class org.tensorflow.framework.VersionDef
-
- getSerializedSize() - Method in class org.tensorflow.util.IteratorStateMetadata
-
- getSerializedSize() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault
-
- getSerializedSize() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
- getSerializedSize() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename
-
- getSerializedSize() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides
-
- getShape() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- getShape() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor
-
.onnx.TensorShapeProto shape = 2;
- getShape() - Method in interface onnx.OnnxMlProto3.TypeProto.TensorOrBuilder
-
.onnx.TensorShapeProto shape = 2;
- getShape() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- getShape() - Method in class onnx.OnnxProto3.TypeProto.Tensor
-
.onnx.TensorShapeProto shape = 2;
- getShape() - Method in interface onnx.OnnxProto3.TypeProto.TensorOrBuilder
-
.onnx.TensorShapeProto shape = 2;
- getShape() - Method in class org.nd4j.autodiff.samediff.SDVariable
-
Returns the shape of this variable
- getShape(NODE_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
- getShape(OnnxProto3.NodeProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getShape(NodeDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getShape() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- getShape() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"shape"
- getShape() - Method in class org.tensorflow.framework.AttrValue
-
"shape"
- getShape(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- getShape(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(shape)"
- getShape(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(shape)"
- getShape() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"shape"
- getShape() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.TensorShapeProto shape = 3;
- getShape() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
.tensorflow.TensorShapeProto shape = 3;
- getShape() - Method in interface org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder
-
.tensorflow.TensorShapeProto shape = 3;
- getShape(int) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
repeated int64 shape = 3;
- getShape(int) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
-
repeated int64 shape = 3;
- getShape(int) - Method in interface org.tensorflow.framework.GraphTransferInfo.ConstNodeInfoOrBuilder
-
repeated int64 shape = 3;
- getShape(int) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
repeated int64 shape = 2;
- getShape(int) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
-
repeated int64 shape = 2;
- getShape(int) - Method in interface org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfoOrBuilder
-
repeated int64 shape = 2;
- getShape(int) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
repeated int64 shape = 2;
- getShape(int) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
-
repeated int64 shape = 2;
- getShape(int) - Method in interface org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfoOrBuilder
-
repeated int64 shape = 2;
- getShape() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- getShape() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
.tensorflow.TensorShapeProto shape = 2;
- getShape() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder
-
.tensorflow.TensorShapeProto shape = 2;
- getShape() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Shape of the tensor.
- getShape() - Method in class org.tensorflow.framework.TensorDescription
-
Shape of the tensor.
- getShape() - Method in interface org.tensorflow.framework.TensorDescriptionOrBuilder
-
Shape of the tensor.
- getShapeBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- getShapeBuilder() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- getShapeBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"shape"
- getShapeBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- getShapeBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.TensorShapeProto shape = 3;
- getShapeBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeBuilder() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Shape of the tensor.
- getShapeBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- getShapeCount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- getShapeCount() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(shape)"
- getShapeCount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(shape)"
- getShapeCount() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
repeated int64 shape = 3;
- getShapeCount() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
-
repeated int64 shape = 3;
- getShapeCount() - Method in interface org.tensorflow.framework.GraphTransferInfo.ConstNodeInfoOrBuilder
-
repeated int64 shape = 3;
- getShapeCount() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
repeated int64 shape = 2;
- getShapeCount() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
-
repeated int64 shape = 2;
- getShapeCount() - Method in interface org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfoOrBuilder
-
repeated int64 shape = 2;
- getShapeCount() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
repeated int64 shape = 2;
- getShapeCount() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
-
repeated int64 shape = 2;
- getShapeCount() - Method in interface org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfoOrBuilder
-
repeated int64 shape = 2;
- getShapeForVarName(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get the shape for the given vertex id.
- getShapeFromAttr(ATTR_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
Get the shape of the attribute value
- getShapeFromAttr(OnnxProto3.AttributeProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getShapeFromAttr(AttrValue) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getShapeFromAttribute(ATTR_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
- getShapeFromAttribute(OnnxProto3.AttributeProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getShapeFromAttribute(AttrValue) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getShapeFromTensor(TENSOR_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
Get the shape for the given tensor type
- getShapeFromTensor(OnnxProto3.TypeProto.Tensor) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getShapeFromTensor(OnnxProto3.TensorProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
Get the shape from a tensor proto.
- getShapeFromTensor(NodeDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getShapeInfoProvider() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getShapeList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- getShapeList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(shape)"
- getShapeList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(shape)"
- getShapeList() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
repeated int64 shape = 3;
- getShapeList() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
-
repeated int64 shape = 3;
- getShapeList() - Method in interface org.tensorflow.framework.GraphTransferInfo.ConstNodeInfoOrBuilder
-
repeated int64 shape = 3;
- getShapeList() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
repeated int64 shape = 2;
- getShapeList() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
-
repeated int64 shape = 2;
- getShapeList() - Method in interface org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfoOrBuilder
-
repeated int64 shape = 2;
- getShapeList() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
repeated int64 shape = 2;
- getShapeList() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
-
repeated int64 shape = 2;
- getShapeList() - Method in interface org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfoOrBuilder
-
repeated int64 shape = 2;
- getShapeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- getShapeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor
-
.onnx.TensorShapeProto shape = 2;
- getShapeOrBuilder() - Method in interface onnx.OnnxMlProto3.TypeProto.TensorOrBuilder
-
.onnx.TensorShapeProto shape = 2;
- getShapeOrBuilder() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- getShapeOrBuilder() - Method in class onnx.OnnxProto3.TypeProto.Tensor
-
.onnx.TensorShapeProto shape = 2;
- getShapeOrBuilder() - Method in interface onnx.OnnxProto3.TypeProto.TensorOrBuilder
-
.onnx.TensorShapeProto shape = 2;
- getShapeOrBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"shape"
- getShapeOrBuilder() - Method in class org.tensorflow.framework.AttrValue
-
"shape"
- getShapeOrBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- getShapeOrBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(shape)"
- getShapeOrBuilder(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(shape)"
- getShapeOrBuilder() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"shape"
- getShapeOrBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.TensorShapeProto shape = 3;
- getShapeOrBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
.tensorflow.TensorShapeProto shape = 3;
- getShapeOrBuilder() - Method in interface org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder
-
.tensorflow.TensorShapeProto shape = 3;
- getShapeOrBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeOrBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeOrBuilder() - Method in interface org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder
-
.tensorflow.TensorShapeProto shape = 2;
- getShapeOrBuilder() - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Shape of the tensor.
- getShapeOrBuilder() - Method in class org.tensorflow.framework.TensorDescription
-
Shape of the tensor.
- getShapeOrBuilder() - Method in interface org.tensorflow.framework.TensorDescriptionOrBuilder
-
Shape of the tensor.
- getShapeOrBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- getShapeOrBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(shape)"
- getShapeOrBuilderList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(shape)"
- getShapes() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- getShapes() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- getSharedMemorySize() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
This method returns amount of shared memory required for this specific Aggregate.
- getSharedMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
-
This method returns amount of shared memory required for this specific Aggregate.
- getSharedMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
-
- getSharedMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
-
This method returns amount of shared memory required for this specific Aggregate.
- getSharedMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
-
- getSharedMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
-
This method returns amount of shared memory required for this specific Aggregate.
- getSharedMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.HierarchicSoftmax
-
This method returns amount of shared memory required for this specific Aggregate.
- getSignature() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
The definition of the function's name, arguments, return values,
attrs etc.
- getSignature() - Method in class org.tensorflow.framework.FunctionDef
-
The definition of the function's name, arguments, return values,
attrs etc.
- getSignature() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
The definition of the function's name, arguments, return values,
attrs etc.
- getSignatureBuilder() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
The definition of the function's name, arguments, return values,
attrs etc.
- getSignatureOrBuilder() - Method in class org.tensorflow.framework.FunctionDef.Builder
-
The definition of the function's name, arguments, return values,
attrs etc.
- getSignatureOrBuilder() - Method in class org.tensorflow.framework.FunctionDef
-
The definition of the function's name, arguments, return values,
attrs etc.
- getSignatureOrBuilder() - Method in interface org.tensorflow.framework.FunctionDefOrBuilder
-
The definition of the function's name, arguments, return values,
attrs etc.
- getSimpleValue() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
float simple_value = 2;
- getSimpleValue() - Method in class org.tensorflow.framework.Summary.Value
-
float simple_value = 2;
- getSimpleValue() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
float simple_value = 2;
- getSinceVersion() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
The version of the operator set that first introduced this
operator.
- getSinceVersion() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
The version of the operator set that first introduced this
operator.
- getSinceVersion() - Method in interface onnx.OnnxOperatorsProto3.OperatorProtoOrBuilder
-
The version of the operator set that first introduced this
operator.
- getSize() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
int64 size = 1;
- getSize() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
int64 size = 1;
- getSize() - Method in interface org.tensorflow.framework.CostGraphDef.Node.OutputInfoOrBuilder
-
int64 size = 1;
- getSize() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
Size of the tensor in that dimension.
- getSize() - Method in class org.tensorflow.framework.TensorShapeProto.Dim
-
Size of the tensor in that dimension.
- getSize() - Method in interface org.tensorflow.framework.TensorShapeProto.DimOrBuilder
-
Size of the tensor in that dimension.
- getSkip() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Do not include this op in the generated API.
- getSkip() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
Do not include this op in the generated API.
- getSkip() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverrideOrBuilder
-
Do not include this op in the generated API.
- getSList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(string)"
- getSList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(string)"
- getSList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(string)"
- getSlot() - Method in class org.tensorflow.framework.NodeOutput.Builder
-
int32 slot = 1;
- getSlot() - Method in class org.tensorflow.framework.NodeOutput
-
int32 slot = 1;
- getSlot() - Method in interface org.tensorflow.framework.NodeOutputOrBuilder
-
int32 slot = 1;
- getSnapshotName() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the snapshot tensor.
- getSnapshotName() - Method in class org.tensorflow.framework.VariableDef
-
Name of the snapshot tensor.
- getSnapshotName() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Name of the snapshot tensor.
- getSnapshotNameBytes() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the snapshot tensor.
- getSnapshotNameBytes() - Method in class org.tensorflow.framework.VariableDef
-
Name of the snapshot tensor.
- getSnapshotNameBytes() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Name of the snapshot tensor.
- getSocOpId() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
int32 soc_op_id = 4;
- getSocOpId() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
-
int32 soc_op_id = 4;
- getSocOpId() - Method in interface org.tensorflow.framework.GraphTransferInfo.NodeInfoOrBuilder
-
int32 soc_op_id = 4;
- getSolverAbsoluteAccuracy() - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSparseBlasWrapper() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getSparseInfoProvider() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getSpilledSize() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of bytes in spilled allocations.
- getStackTraceElements() - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- getStackTraceElements() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- getStandardDeviation() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
Access the standard deviation.
- getStandardDeviation() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
Access the standard deviation.
- getStandardDeviation() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Access the standard deviation.
- getStandardDeviation() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
Access the standard deviation.
- getStandardDeviation() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
Access the standard deviation.
- getStart() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
Start index of the slice, starting at 0.
- getStart() - Method in class org.tensorflow.framework.TensorSliceProto.Extent
-
Start index of the slice, starting at 0.
- getStart() - Method in interface org.tensorflow.framework.TensorSliceProto.ExtentOrBuilder
-
Start index of the slice, starting at 0.
- getStash(T) - Method in class org.nd4j.linalg.memory.stash.BasicStashManager
-
- getStash(T) - Method in interface org.nd4j.linalg.memory.stash.StashManager
-
- getStateBuffer() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
This method returns pointer to RNG buffer
- getStateBuffer() - Method in interface org.nd4j.linalg.api.rng.Random
-
This method returns pointer to RNG buffer
- getStatePointer() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
This method returns pointer to RNG state structure.
- getStatePointer() - Method in interface org.nd4j.linalg.api.rng.Random
-
This method returns pointer to RNG state structure.
- getStatus() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
This field indicates whether the syntax, semantics, or presence
of this operator is in an experimental or stable stage.
- getStatus() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
This field indicates whether the syntax, semantics, or presence
of this operator is in an experimental or stable stage.
- getStatus() - Method in interface onnx.OnnxOperatorsProto3.OperatorProtoOrBuilder
-
This field indicates whether the syntax, semantics, or presence
of this operator is in an experimental or stable stage.
- getStatus() - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- getStatusValue() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
This field indicates whether the syntax, semantics, or presence
of this operator is in an experimental or stable stage.
- getStatusValue() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
This field indicates whether the syntax, semantics, or presence
of this operator is in an experimental or stable stage.
- getStatusValue() - Method in interface onnx.OnnxOperatorsProto3.OperatorProtoOrBuilder
-
This field indicates whether the syntax, semantics, or presence
of this operator is in an experimental or stable stage.
- getStd() - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler
-
Deprecated.
- getStd() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- getStepId() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Process-unique step id.
- getStepId() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
Process-unique step id.
- getStepId() - Method in interface org.tensorflow.framework.MemoryLogRawAllocationOrBuilder
-
Process-unique step id.
- getStepId() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Process-unique step id.
- getStepId() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
Process-unique step id.
- getStepId() - Method in interface org.tensorflow.framework.MemoryLogRawDeallocationOrBuilder
-
Process-unique step id.
- getStepId() - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
Process-unique step id.
- getStepId() - Method in class org.tensorflow.framework.MemoryLogStep
-
Process-unique step id.
- getStepId() - Method in interface org.tensorflow.framework.MemoryLogStepOrBuilder
-
Process-unique step id.
- getStepId() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Process-unique step id.
- getStepId() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
Process-unique step id.
- getStepId() - Method in interface org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder
-
Process-unique step id.
- getStepId() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Process-unique step id.
- getStepId() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
-
Process-unique step id.
- getStepId() - Method in interface org.tensorflow.framework.MemoryLogTensorOutputOrBuilder
-
Process-unique step id.
- getStepNumber() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns step number.
- getStillAlive() - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
-
- getStillAlive() - Method in interface org.nd4j.linalg.api.instrumentation.Instrumentation
-
Get the still alive ndarrays
- getStirlingError(double) - Static method in class org.nd4j.linalg.api.rng.distribution.impl.SaddlePointExpansion
-
Compute the error of Stirling's series at the given value.
- getStride() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- getStrideForOrdering(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Return the proper stride
through a vector
relative to the ordering of the array
This is for incX/incY parameters in BLAS.
- getStrides(int[], char) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- getStrides(int[], char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getStrides(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the strides for the given order and shape
- getStrides(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the strides based on the shape
and NDArrays.order()
- getStringData(int) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For strings.
- getStringData(int) - Method in class onnx.OnnxMlProto3.TensorProto
-
For strings.
- getStringData(int) - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For strings.
- getStringData(int) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For strings.
- getStringData(int) - Method in class onnx.OnnxProto3.TensorProto
-
For strings.
- getStringData(int) - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For strings.
- getStringDataCount() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For strings.
- getStringDataCount() - Method in class onnx.OnnxMlProto3.TensorProto
-
For strings.
- getStringDataCount() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For strings.
- getStringDataCount() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For strings.
- getStringDataCount() - Method in class onnx.OnnxProto3.TensorProto
-
For strings.
- getStringDataCount() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For strings.
- getStringDataList() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For strings.
- getStringDataList() - Method in class onnx.OnnxMlProto3.TensorProto
-
For strings.
- getStringDataList() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For strings.
- getStringDataList() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For strings.
- getStringDataList() - Method in class onnx.OnnxProto3.TensorProto
-
For strings.
- getStringDataList() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For strings.
- getStrings(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of UTF-8 strings
- getStrings(int) - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of UTF-8 strings
- getStrings(int) - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of UTF-8 strings
- getStrings(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of UTF-8 strings
- getStrings(int) - Method in class onnx.OnnxProto3.AttributeProto
-
list of UTF-8 strings
- getStrings(int) - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of UTF-8 strings
- getStringsCount() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of UTF-8 strings
- getStringsCount() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of UTF-8 strings
- getStringsCount() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of UTF-8 strings
- getStringsCount() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of UTF-8 strings
- getStringsCount() - Method in class onnx.OnnxProto3.AttributeProto
-
list of UTF-8 strings
- getStringsCount() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of UTF-8 strings
- getStringsList() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of UTF-8 strings
- getStringsList() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of UTF-8 strings
- getStringsList() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of UTF-8 strings
- getStringsList() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of UTF-8 strings
- getStringsList() - Method in class onnx.OnnxProto3.AttributeProto
-
list of UTF-8 strings
- getStringsList() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of UTF-8 strings
- getStringVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_STRING
- getStringVal(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_STRING
- getStringVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_STRING
- getStringValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_STRING
- getStringValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_STRING
- getStringValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_STRING
- getStringValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_STRING
- getStringValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_STRING
- getStringValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_STRING
- getSubMatricesWithShape(int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getSubMatricesWithShape(char, int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getSum() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- getSum(String) - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- getSum() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double sum = 4;
- getSum() - Method in class org.tensorflow.framework.HistogramProto
-
double sum = 4;
- getSum() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
double sum = 4;
- getSummary() - Method in class org.tensorflow.framework.ApiDef.Builder
-
One-line human-readable description of what the Op does.
- getSummary() - Method in class org.tensorflow.framework.ApiDef
-
One-line human-readable description of what the Op does.
- getSummary() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
One-line human-readable description of what the Op does.
- getSummary() - Method in class org.tensorflow.framework.OpDef.Builder
-
One-line human-readable description of what the Op does.
- getSummary() - Method in class org.tensorflow.framework.OpDef
-
One-line human-readable description of what the Op does.
- getSummary() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
One-line human-readable description of what the Op does.
- getSummaryBytes() - Method in class org.tensorflow.framework.ApiDef.Builder
-
One-line human-readable description of what the Op does.
- getSummaryBytes() - Method in class org.tensorflow.framework.ApiDef
-
One-line human-readable description of what the Op does.
- getSummaryBytes() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
One-line human-readable description of what the Op does.
- getSummaryBytes() - Method in class org.tensorflow.framework.OpDef.Builder
-
One-line human-readable description of what the Op does.
- getSummaryBytes() - Method in class org.tensorflow.framework.OpDef
-
One-line human-readable description of what the Op does.
- getSummaryBytes() - Method in interface org.tensorflow.framework.OpDefOrBuilder
-
One-line human-readable description of what the Op does.
- getSummaryDescription() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Longform readable description of the summary sequence.
- getSummaryDescription() - Method in class org.tensorflow.framework.SummaryMetadata
-
Longform readable description of the summary sequence.
- getSummaryDescription() - Method in interface org.tensorflow.framework.SummaryMetadataOrBuilder
-
Longform readable description of the summary sequence.
- getSummaryDescriptionBytes() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Longform readable description of the summary sequence.
- getSummaryDescriptionBytes() - Method in class org.tensorflow.framework.SummaryMetadata
-
Longform readable description of the summary sequence.
- getSummaryDescriptionBytes() - Method in interface org.tensorflow.framework.SummaryMetadataOrBuilder
-
Longform readable description of the summary sequence.
- getSumSquares() - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double sum_squares = 5;
- getSumSquares() - Method in class org.tensorflow.framework.HistogramProto
-
double sum_squares = 5;
- getSumSquares() - Method in interface org.tensorflow.framework.HistogramProtoOrBuilder
-
double sum_squares = 5;
- getSupportedClass() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.CustomSerializerStrategy
-
Get the class of the supported custom serializer
- getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.CustomSerializerStrategy
-
- getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MinMaxSerializerStrategy
-
- getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiHybridSerializerStrategy
-
- getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiMinMaxSerializerStrategy
-
- getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiStandardizeSerializerStrategy
-
- getSupportedType() - Method in interface org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializerStrategy
-
Get the enum opType of the supported normalizer
- getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.StandardizeSerializerStrategy
-
- getSupportLowerBound() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
Access the lower bound of the support.
- getSupportUpperBound() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
Access the upper bound of the support.
- getT() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
tensor value
- getT() - Method in class onnx.OnnxMlProto3.AttributeProto
-
tensor value
- getT() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
tensor value
- getT() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
tensor value
- getT() - Method in class onnx.OnnxProto3.AttributeProto
-
tensor value
- getT() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
tensor value
- getTADLength(int[], int...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getTADManager() - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
-
This method returns TADManager instance used for this OpExecutioner
- getTADManager() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- getTADManager() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method returns TADManager instance used for this OpExecutioner
- getTADOnlyShapeInfo(INDArray, int...) - Method in interface org.nd4j.linalg.cache.TADManager
-
This method returns TAD shapeInfo and all offsets
for specified tensor and dimensions.
- getTag() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Tag name for the data.
- getTag() - Method in class org.tensorflow.framework.Summary.Value
-
Tag name for the data.
- getTag() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
Tag name for the data.
- getTagBytes() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Tag name for the data.
- getTagBytes() - Method in class org.tensorflow.framework.Summary.Value
-
Tag name for the data.
- getTagBytes() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
Tag name for the data.
- getTargetMappingForOp(DifferentialFunction, NODE_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
Get the target mapping key (usually based on the node name)
for the given function
- getTargetMappingForOp(DifferentialFunction, OnnxProto3.NodeProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- getTargetMappingForOp(DifferentialFunction, NodeDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- getTargetMax() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- getTargetMax() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- getTargetMin() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- getTargetMin() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- getTArgument(int) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- getTArgument(int) - Method in interface org.nd4j.linalg.api.ops.CustomOp
-
- getTArgument(int) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- getTArgument(int) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
-
- getTArgument(int) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
-
- getTBuilder() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
tensor value
- getTBuilder() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
tensor value
- getTemporaryMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Temporary memory used by this node.
- getTemporaryMemorySize() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
Temporary memory used by this node.
- getTemporaryMemorySize() - Method in interface org.tensorflow.framework.CostGraphDef.NodeOrBuilder
-
Temporary memory used by this node.
- getTensor() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"tensor"
- getTensor() - Method in class org.tensorflow.framework.AttrValue
-
"tensor"
- getTensor(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- getTensor(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(tensor)"
- getTensor(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(tensor)"
- getTensor() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"tensor"
- getTensor() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Allocated tensor details.
- getTensor() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
Allocated tensor details.
- getTensor() - Method in interface org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder
-
Allocated tensor details.
- getTensor() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Output tensor details.
- getTensor() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
-
Output tensor details.
- getTensor() - Method in interface org.tensorflow.framework.MemoryLogTensorOutputOrBuilder
-
Output tensor details.
- getTensor() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.TensorProto tensor = 8;
- getTensor() - Method in class org.tensorflow.framework.Summary.Value
-
.tensorflow.TensorProto tensor = 8;
- getTensor() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.TensorProto tensor = 8;
- getTensorAlongDimensionMatricesWithShape(char, int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getTensorAlongDimensionMatricesWithShape(int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getTensorBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"tensor"
- getTensorBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- getTensorBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Allocated tensor details.
- getTensorBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Output tensor details.
- getTensorBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.TensorProto tensor = 8;
- getTensorBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- getTensorContent() - Method in class org.tensorflow.framework.TensorProto.Builder
-
Serialized raw tensor content from either Tensor::AsProtoTensorContent or
memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
- getTensorContent() - Method in class org.tensorflow.framework.TensorProto
-
Serialized raw tensor content from either Tensor::AsProtoTensorContent or
memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
- getTensorContent() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
Serialized raw tensor content from either Tensor::AsProtoTensorContent or
memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
- getTensorCount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- getTensorCount() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(tensor)"
- getTensorCount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(tensor)"
- getTensorDescription() - Method in class org.tensorflow.framework.NodeOutput.Builder
-
.tensorflow.TensorDescription tensor_description = 3;
- getTensorDescription() - Method in class org.tensorflow.framework.NodeOutput
-
.tensorflow.TensorDescription tensor_description = 3;
- getTensorDescription() - Method in interface org.tensorflow.framework.NodeOutputOrBuilder
-
.tensorflow.TensorDescription tensor_description = 3;
- getTensorDescriptionBuilder() - Method in class org.tensorflow.framework.NodeOutput.Builder
-
.tensorflow.TensorDescription tensor_description = 3;
- getTensorDescriptionOrBuilder() - Method in class org.tensorflow.framework.NodeOutput.Builder
-
.tensorflow.TensorDescription tensor_description = 3;
- getTensorDescriptionOrBuilder() - Method in class org.tensorflow.framework.NodeOutput
-
.tensorflow.TensorDescription tensor_description = 3;
- getTensorDescriptionOrBuilder() - Method in interface org.tensorflow.framework.NodeOutputOrBuilder
-
.tensorflow.TensorDescription tensor_description = 3;
- getTensorList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- getTensorList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(tensor)"
- getTensorList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(tensor)"
- getTensorOrBuilder() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"tensor"
- getTensorOrBuilder() - Method in class org.tensorflow.framework.AttrValue
-
"tensor"
- getTensorOrBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- getTensorOrBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(tensor)"
- getTensorOrBuilder(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(tensor)"
- getTensorOrBuilder() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"tensor"
- getTensorOrBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Allocated tensor details.
- getTensorOrBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
Allocated tensor details.
- getTensorOrBuilder() - Method in interface org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder
-
Allocated tensor details.
- getTensorOrBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Output tensor details.
- getTensorOrBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
-
Output tensor details.
- getTensorOrBuilder() - Method in interface org.tensorflow.framework.MemoryLogTensorOutputOrBuilder
-
Output tensor details.
- getTensorOrBuilder() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.TensorProto tensor = 8;
- getTensorOrBuilder() - Method in class org.tensorflow.framework.Summary.Value
-
.tensorflow.TensorProto tensor = 8;
- getTensorOrBuilder() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
.tensorflow.TensorProto tensor = 8;
- getTensorOrBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- getTensorOrBuilderList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(tensor)"
- getTensorOrBuilderList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(tensor)"
- getTensors(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- getTensors(int) - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of tensors
- getTensors(int) - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of tensors
- getTensors(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- getTensors(int) - Method in class onnx.OnnxProto3.AttributeProto
-
list of tensors
- getTensors(int) - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of tensors
- getTensors(int) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- getTensors(int) - Method in class org.tensorflow.framework.VariantTensorDataProto
-
Tensors contained within objects being serialized.
- getTensors(int) - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Tensors contained within objects being serialized.
- getTensorsBuilder(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- getTensorsBuilder(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- getTensorsBuilder(int) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- getTensorsBuilderList() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- getTensorsBuilderList() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- getTensorsBuilderList() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- getTensorsCount() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- getTensorsCount() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of tensors
- getTensorsCount() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of tensors
- getTensorsCount() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- getTensorsCount() - Method in class onnx.OnnxProto3.AttributeProto
-
list of tensors
- getTensorsCount() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of tensors
- getTensorsCount() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- getTensorsCount() - Method in class org.tensorflow.framework.VariantTensorDataProto
-
Tensors contained within objects being serialized.
- getTensorsCount() - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Tensors contained within objects being serialized.
- getTensorShape() - Method in class org.tensorflow.framework.TensorProto.Builder
-
Shape of the tensor.
- getTensorShape() - Method in class org.tensorflow.framework.TensorProto
-
Shape of the tensor.
- getTensorShape() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
Shape of the tensor.
- getTensorShapeBuilder() - Method in class org.tensorflow.framework.TensorProto.Builder
-
Shape of the tensor.
- getTensorShapeOrBuilder() - Method in class org.tensorflow.framework.TensorProto.Builder
-
Shape of the tensor.
- getTensorShapeOrBuilder() - Method in class org.tensorflow.framework.TensorProto
-
Shape of the tensor.
- getTensorShapeOrBuilder() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
Shape of the tensor.
- getTensorsList() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- getTensorsList() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of tensors
- getTensorsList() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of tensors
- getTensorsList() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- getTensorsList() - Method in class onnx.OnnxProto3.AttributeProto
-
list of tensors
- getTensorsList() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of tensors
- getTensorsList() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- getTensorsList() - Method in class org.tensorflow.framework.VariantTensorDataProto
-
Tensors contained within objects being serialized.
- getTensorsList() - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Tensors contained within objects being serialized.
- getTensorsOrBuilder(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- getTensorsOrBuilder(int) - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of tensors
- getTensorsOrBuilder(int) - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of tensors
- getTensorsOrBuilder(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- getTensorsOrBuilder(int) - Method in class onnx.OnnxProto3.AttributeProto
-
list of tensors
- getTensorsOrBuilder(int) - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of tensors
- getTensorsOrBuilder(int) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- getTensorsOrBuilder(int) - Method in class org.tensorflow.framework.VariantTensorDataProto
-
Tensors contained within objects being serialized.
- getTensorsOrBuilder(int) - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Tensors contained within objects being serialized.
- getTensorsOrBuilderList() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- getTensorsOrBuilderList() - Method in class onnx.OnnxMlProto3.AttributeProto
-
list of tensors
- getTensorsOrBuilderList() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
list of tensors
- getTensorsOrBuilderList() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- getTensorsOrBuilderList() - Method in class onnx.OnnxProto3.AttributeProto
-
list of tensors
- getTensorsOrBuilderList() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
list of tensors
- getTensorsOrBuilderList() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- getTensorsOrBuilderList() - Method in class org.tensorflow.framework.VariantTensorDataProto
-
Tensors contained within objects being serialized.
- getTensorsOrBuilderList() - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Tensors contained within objects being serialized.
- getTensorType() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a tensor.
- getTensorType() - Method in class onnx.OnnxMlProto3.TypeProto
-
The type of a tensor.
- getTensorType() - Method in interface onnx.OnnxMlProto3.TypeProtoOrBuilder
-
The type of a tensor.
- getTensorType() - Method in class onnx.OnnxProto3.TypeProto.Builder
-
The type of a tensor.
- getTensorType() - Method in class onnx.OnnxProto3.TypeProto
-
The type of a tensor.
- getTensorType() - Method in interface onnx.OnnxProto3.TypeProtoOrBuilder
-
The type of a tensor.
- getTensorTypeBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a tensor.
- getTensorTypeBuilder() - Method in class onnx.OnnxProto3.TypeProto.Builder
-
The type of a tensor.
- getTensorTypeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a tensor.
- getTensorTypeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto
-
The type of a tensor.
- getTensorTypeOrBuilder() - Method in interface onnx.OnnxMlProto3.TypeProtoOrBuilder
-
The type of a tensor.
- getTensorTypeOrBuilder() - Method in class onnx.OnnxProto3.TypeProto.Builder
-
The type of a tensor.
- getTensorTypeOrBuilder() - Method in class onnx.OnnxProto3.TypeProto
-
The type of a tensor.
- getTensorTypeOrBuilder() - Method in interface onnx.OnnxProto3.TypeProtoOrBuilder
-
The type of a tensor.
- getTest() - Method in class org.nd4j.linalg.dataset.SplitTestAndTrain
-
- getTestMatricesWithVaryingShapes(int, char) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
Test utility to sweep shapes given a rank
Given a rank will generate random test matrices that will cover all cases of a shape with a '1' anywhere in the shape
as well a shape with random ints that are not 0 or 1
eg.
- getThisCycleAllocations() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method returns amount of memory consumed in last successful cycle, in bytes
- getThisCycleAllocations() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of bytes allocated during THIS cycle
- getThreadId() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
- getThreadId() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
uint32 thread_id = 10;
- getThreadId() - Method in class org.tensorflow.framework.NodeExecStats
-
uint32 thread_id = 10;
- getThreadId() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
uint32 thread_id = 10;
- getThreadsPerInstance() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
This method returns desired number of threads per Aggregate instance
PLEASE NOTE: this method is especially important for CUDA backend.
- getThreadsPerInstance() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
-
This method returns desired number of threads per Aggregate instance
PLEASE NOTE: this method is especially important for
CUDA backend.
- getThreadsPerInstance() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
-
- getThreadsPerInstance() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
-
This method returns desired number of threads per Aggregate instance
PLEASE NOTE: this method is especially important for CUDA backend.
- getThreadsPerInstance() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
-
- getThreadsPerInstance() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
-
This method returns desired number of threads per Aggregate instance
PLEASE NOTE: this method is especially important for CUDA backend.
- getThreadsPerInstance() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.HierarchicSoftmax
-
This method returns desired number of threads per Aggregate instance
PLEASE NOTE: this method is especially important for CUDA backend.
- getTimelineLabel() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
string timeline_label = 8;
- getTimelineLabel() - Method in class org.tensorflow.framework.NodeExecStats
-
string timeline_label = 8;
- getTimelineLabel() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
string timeline_label = 8;
- getTimelineLabelBytes() - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
string timeline_label = 8;
- getTimelineLabelBytes() - Method in class org.tensorflow.framework.NodeExecStats
-
string timeline_label = 8;
- getTimelineLabelBytes() - Method in interface org.tensorflow.framework.NodeExecStatsOrBuilder
-
string timeline_label = 8;
- getTimestamp() - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- getTo() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
-
string to = 2;
- getTo() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename
-
string to = 2;
- getTo() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverride.RenameOrBuilder
-
string to = 2;
- getToBytes() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
-
string to = 2;
- getToBytes() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename
-
string to = 2;
- getToBytes() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverride.RenameOrBuilder
-
string to = 2;
- getTOrBuilder() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
tensor value
- getTOrBuilder() - Method in class onnx.OnnxMlProto3.AttributeProto
-
tensor value
- getTOrBuilder() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
tensor value
- getTOrBuilder() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
tensor value
- getTOrBuilder() - Method in class onnx.OnnxProto3.AttributeProto
-
tensor value
- getTOrBuilder() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
tensor value
- getTotalBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
These are per-node allocator memory stats.
- getTotalBytes() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
These are per-node allocator memory stats.
- getTotalBytes() - Method in interface org.tensorflow.framework.AllocatorMemoryUsedOrBuilder
-
These are per-node allocator memory stats.
- getTotalEventsNumber() - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree
-
- getTotalEventsNumber() - Method in class org.nd4j.linalg.profiler.data.StackAggregator
-
- getTrailingOnes() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getTrailingOnes() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getTrailingOnes() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get the number of trailing ones in the array shape.
- getTrain() - Method in class org.nd4j.linalg.dataset.SplitTestAndTrain
-
- getTransposedMatrixWithShape(char, int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getTransposedMatrixWithShape(int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getTrueBody() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.WhileDerivative
-
- getTrueBodyExecuted() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.IfDerivative
-
- getTrueBodyName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.WhileDerivative
-
- getType() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
The type field MUST be present for this version of the IR.
- getType() - Method in class onnx.OnnxMlProto3.AttributeProto
-
The type field MUST be present for this version of the IR.
- getType() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
The type field MUST be present for this version of the IR.
- getType() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- getType() - Method in class onnx.OnnxMlProto3.ValueInfoProto
-
This field MUST be present in this version of the IR.
- getType() - Method in interface onnx.OnnxMlProto3.ValueInfoProtoOrBuilder
-
This field MUST be present in this version of the IR.
- getType() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
The type field MUST be present for this version of the IR.
- getType() - Method in class onnx.OnnxProto3.AttributeProto
-
The type field MUST be present for this version of the IR.
- getType() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
The type field MUST be present for this version of the IR.
- getType() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- getType() - Method in class onnx.OnnxProto3.ValueInfoProto
-
This field MUST be present in this version of the IR.
- getType() - Method in interface onnx.OnnxProto3.ValueInfoProtoOrBuilder
-
This field MUST be present in this version of the IR.
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImageMultiPreProcessingScaler
-
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
-
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
-
- getType() - Method in interface org.nd4j.linalg.dataset.api.preprocessor.Normalizer
-
Get the enum opType of this normalizer
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor
-
- getType() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"type"
- getType() - Method in class org.tensorflow.framework.AttrValue
-
"type"
- getType(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
- getType(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(type)"
- getType(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(type)"
- getType() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"type"
- getType() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- getType() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- getType() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- getType() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- getType() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- getType() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- getTypeAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "type"
- getTypeAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
if specified, attr must have type "type"
- getTypeAttr() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
if specified, attr must have type "type"
- getTypeAttrBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "type"
- getTypeAttrBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
if specified, attr must have type "type"
- getTypeAttrBytes() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
if specified, attr must have type "type"
- getTypeBuilder() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- getTypeBuilder() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- getTypeBytes() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- getTypeBytes() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- getTypeBytes() - Method in interface org.tensorflow.framework.OpDef.AttrDefOrBuilder
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- getTypeCount() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
- getTypeCount() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(type)"
- getTypeCount() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(type)"
- getTypeFromByte(byte) - Static method in class org.nd4j.autodiff.samediff.SameDiff
-
This method converts enums for DataType
- getTypeHint() - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
Hint on how plugins should process the data in this series.
- getTypeHint() - Method in class org.tensorflow.framework.SummaryDescription
-
Hint on how plugins should process the data in this series.
- getTypeHint() - Method in interface org.tensorflow.framework.SummaryDescriptionOrBuilder
-
Hint on how plugins should process the data in this series.
- getTypeHintBytes() - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
Hint on how plugins should process the data in this series.
- getTypeHintBytes() - Method in class org.tensorflow.framework.SummaryDescription
-
Hint on how plugins should process the data in this series.
- getTypeHintBytes() - Method in interface org.tensorflow.framework.SummaryDescriptionOrBuilder
-
Hint on how plugins should process the data in this series.
- getTypeList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
- getTypeList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(type)"
- getTypeList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(type)"
- getTypeListAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- getTypeListAttr() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- getTypeListAttr() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- getTypeListAttrBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- getTypeListAttrBytes() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- getTypeListAttrBytes() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- getTypeName() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
string type_name = 3;
- getTypeName() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
-
string type_name = 3;
- getTypeName() - Method in interface org.tensorflow.framework.GraphTransferInfo.NodeInfoOrBuilder
-
string type_name = 3;
- getTypeName() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Name of the type of objects being serialized.
- getTypeName() - Method in class org.tensorflow.framework.VariantTensorDataProto
-
Name of the type of objects being serialized.
- getTypeName() - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Name of the type of objects being serialized.
- getTypeNameBytes() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
string type_name = 3;
- getTypeNameBytes() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
-
string type_name = 3;
- getTypeNameBytes() - Method in interface org.tensorflow.framework.GraphTransferInfo.NodeInfoOrBuilder
-
string type_name = 3;
- getTypeNameBytes() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Name of the type of objects being serialized.
- getTypeNameBytes() - Method in class org.tensorflow.framework.VariantTensorDataProto
-
Name of the type of objects being serialized.
- getTypeNameBytes() - Method in interface org.tensorflow.framework.VariantTensorDataProtoOrBuilder
-
Name of the type of objects being serialized.
- getTypeOrBuilder() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- getTypeOrBuilder() - Method in class onnx.OnnxMlProto3.ValueInfoProto
-
This field MUST be present in this version of the IR.
- getTypeOrBuilder() - Method in interface onnx.OnnxMlProto3.ValueInfoProtoOrBuilder
-
This field MUST be present in this version of the IR.
- getTypeOrBuilder() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- getTypeOrBuilder() - Method in class onnx.OnnxProto3.ValueInfoProto
-
This field MUST be present in this version of the IR.
- getTypeOrBuilder() - Method in interface onnx.OnnxProto3.ValueInfoProtoOrBuilder
-
This field MUST be present in this version of the IR.
- getTypeValue() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
The type field MUST be present for this version of the IR.
- getTypeValue() - Method in class onnx.OnnxMlProto3.AttributeProto
-
The type field MUST be present for this version of the IR.
- getTypeValue() - Method in interface onnx.OnnxMlProto3.AttributeProtoOrBuilder
-
The type field MUST be present for this version of the IR.
- getTypeValue() - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
The type field MUST be present for this version of the IR.
- getTypeValue() - Method in class onnx.OnnxProto3.AttributeProto
-
The type field MUST be present for this version of the IR.
- getTypeValue() - Method in interface onnx.OnnxProto3.AttributeProtoOrBuilder
-
The type field MUST be present for this version of the IR.
- getTypeValue() - Method in class org.tensorflow.framework.AttrValue.Builder
-
"type"
- getTypeValue() - Method in class org.tensorflow.framework.AttrValue
-
"type"
- getTypeValue(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
- getTypeValue(int) - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(type)"
- getTypeValue(int) - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(type)"
- getTypeValue() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
"type"
- getTypeValue() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- getTypeValue() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- getTypeValue() - Method in interface org.tensorflow.framework.OpDef.ArgDefOrBuilder
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- getTypeValueList() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
- getTypeValueList() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
"list(type)"
- getTypeValueList() - Method in interface org.tensorflow.framework.AttrValue.ListValueOrBuilder
-
"list(type)"
- getUFactor(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- getUFactor(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLapack
-
- getUFactor(INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
extracts the U (upper triangular) matrix from the LU factor result
U will be n x n matrix where n = num cols in A
- getUint32Val(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT32
- getUint32Val(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_UINT32
- getUint32Val(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_UINT32
- getUint32ValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT32
- getUint32ValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_UINT32
- getUint32ValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_UINT32
- getUint32ValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT32
- getUint32ValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_UINT32
- getUint32ValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_UINT32
- getUint64Data(int) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64Data(int) - Method in class onnx.OnnxMlProto3.TensorProto
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64Data(int) - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64Data(int) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64Data(int) - Method in class onnx.OnnxProto3.TensorProto
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64Data(int) - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataCount() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataCount() - Method in class onnx.OnnxMlProto3.TensorProto
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataCount() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataCount() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataCount() - Method in class onnx.OnnxProto3.TensorProto
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataCount() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataList() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataList() - Method in class onnx.OnnxMlProto3.TensorProto
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataList() - Method in interface onnx.OnnxMlProto3.TensorProtoOrBuilder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataList() - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataList() - Method in class onnx.OnnxProto3.TensorProto
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64DataList() - Method in interface onnx.OnnxProto3.TensorProtoOrBuilder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- getUint64Val(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT64
- getUint64Val(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_UINT64
- getUint64Val(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_UINT64
- getUint64ValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT64
- getUint64ValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_UINT64
- getUint64ValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_UINT64
- getUint64ValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT64
- getUint64ValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_UINT64
- getUint64ValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_UINT64
- getUnderlyingIndices() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Return the indices buffer
- getUnderlyingIndicesOf(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Returns the underlying indices of the element of the given index
such as there really are in the original ndarray
- getUnderlyingValues() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Return the values buffer
- getUniqueBranchesNumber() - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree
-
- getUniqueBranchesNumber() - Method in class org.nd4j.linalg.profiler.data.StackAggregator
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.AttributeProto
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.GraphProto
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.ModelProto
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.NodeProto
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.StringStringEntryProto
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.TensorProto
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.TensorProto.Segment
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.TensorShapeProto
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.TypeProto
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.TypeProto.Map
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor
-
- getUnknownFields() - Method in class onnx.OnnxMlProto3.ValueInfoProto
-
- getUnknownFields() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
-
- getUnknownFields() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
-
- getUnknownFields() - Method in class onnx.OnnxProto3.AttributeProto
-
- getUnknownFields() - Method in class onnx.OnnxProto3.GraphProto
-
- getUnknownFields() - Method in class onnx.OnnxProto3.ModelProto
-
- getUnknownFields() - Method in class onnx.OnnxProto3.NodeProto
-
- getUnknownFields() - Method in class onnx.OnnxProto3.OperatorSetIdProto
-
- getUnknownFields() - Method in class onnx.OnnxProto3.StringStringEntryProto
-
- getUnknownFields() - Method in class onnx.OnnxProto3.TensorProto
-
- getUnknownFields() - Method in class onnx.OnnxProto3.TensorProto.Segment
-
- getUnknownFields() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension
-
- getUnknownFields() - Method in class onnx.OnnxProto3.TensorShapeProto
-
- getUnknownFields() - Method in class onnx.OnnxProto3.TypeProto
-
- getUnknownFields() - Method in class onnx.OnnxProto3.TypeProto.Tensor
-
- getUnknownFields() - Method in class onnx.OnnxProto3.ValueInfoProto
-
- getUnknownFields() - Method in class org.tensorflow.framework.AllocationDescription
-
- getUnknownFields() - Method in class org.tensorflow.framework.AllocationRecord
-
- getUnknownFields() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
-
- getUnknownFields() - Method in class org.tensorflow.framework.ApiDef.Arg
-
- getUnknownFields() - Method in class org.tensorflow.framework.ApiDef.Attr
-
- getUnknownFields() - Method in class org.tensorflow.framework.ApiDef.Endpoint
-
- getUnknownFields() - Method in class org.tensorflow.framework.ApiDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.ApiDefs
-
- getUnknownFields() - Method in class org.tensorflow.framework.AttrValue
-
- getUnknownFields() - Method in class org.tensorflow.framework.AttrValue.ListValue
-
- getUnknownFields() - Method in class org.tensorflow.framework.CostGraphDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.CostGraphDef.Node
-
- getUnknownFields() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
-
- getUnknownFields() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- getUnknownFields() - Method in class org.tensorflow.framework.DeviceAttributes
-
- getUnknownFields() - Method in class org.tensorflow.framework.DeviceLocality
-
- getUnknownFields() - Method in class org.tensorflow.framework.DeviceStepStats
-
- getUnknownFields() - Method in class org.tensorflow.framework.FunctionDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.FunctionDefLibrary
-
- getUnknownFields() - Method in class org.tensorflow.framework.GradientDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.GraphDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
-
- getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferInfo
-
- getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
-
- getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
-
- getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
-
- getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput
-
- getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo
-
- getUnknownFields() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo
-
- getUnknownFields() - Method in class org.tensorflow.framework.HistogramProto
-
- getUnknownFields() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint
-
- getUnknownFields() - Method in class org.tensorflow.framework.KernelDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
-
- getUnknownFields() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
-
- getUnknownFields() - Method in class org.tensorflow.framework.MemoryLogStep
-
- getUnknownFields() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
-
- getUnknownFields() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation
-
- getUnknownFields() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
-
- getUnknownFields() - Method in class org.tensorflow.framework.MemoryStats
-
- getUnknownFields() - Method in class org.tensorflow.framework.NameAttrList
-
- getUnknownFields() - Method in class org.tensorflow.framework.NodeDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.NodeExecStats
-
- getUnknownFields() - Method in class org.tensorflow.framework.NodeOutput
-
- getUnknownFields() - Method in class org.tensorflow.framework.OpDef.ArgDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.OpDef.AttrDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.OpDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.OpDeprecation
-
- getUnknownFields() - Method in class org.tensorflow.framework.OpList
-
- getUnknownFields() - Method in class org.tensorflow.framework.ReaderBaseState
-
- getUnknownFields() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- getUnknownFields() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
- getUnknownFields() - Method in class org.tensorflow.framework.ResourceHandleProto
-
- getUnknownFields() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.StepStats
-
- getUnknownFields() - Method in class org.tensorflow.framework.Summary.Audio
-
- getUnknownFields() - Method in class org.tensorflow.framework.Summary
-
- getUnknownFields() - Method in class org.tensorflow.framework.Summary.Image
-
- getUnknownFields() - Method in class org.tensorflow.framework.Summary.Value
-
- getUnknownFields() - Method in class org.tensorflow.framework.SummaryDescription
-
- getUnknownFields() - Method in class org.tensorflow.framework.SummaryMetadata
-
- getUnknownFields() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData
-
- getUnknownFields() - Method in class org.tensorflow.framework.TensorDescription
-
- getUnknownFields() - Method in class org.tensorflow.framework.TensorProto
-
- getUnknownFields() - Method in class org.tensorflow.framework.TensorShapeProto.Dim
-
- getUnknownFields() - Method in class org.tensorflow.framework.TensorShapeProto
-
- getUnknownFields() - Method in class org.tensorflow.framework.TensorSliceProto.Extent
-
- getUnknownFields() - Method in class org.tensorflow.framework.TensorSliceProto
-
- getUnknownFields() - Method in class org.tensorflow.framework.VariableDef
-
- getUnknownFields() - Method in class org.tensorflow.framework.VariantTensorDataProto
-
- getUnknownFields() - Method in class org.tensorflow.framework.VersionDef
-
- getUnknownFields() - Method in class org.tensorflow.util.IteratorStateMetadata
-
- getUnknownFields() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault
-
- getUnknownFields() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
- getUnknownFields() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename
-
- getUnknownFields() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides
-
- getUnknownRank() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
If true, the number of dimensions in the shape is unknown.
- getUnknownRank() - Method in class org.tensorflow.framework.TensorShapeProto
-
If true, the number of dimensions in the shape is unknown.
- getUnknownRank() - Method in interface org.tensorflow.framework.TensorShapeProtoOrBuilder
-
If true, the number of dimensions in the shape is unknown.
- getUUID() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
Returns globally unique ID
- getValue() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
string value = 2;
- getValue() - Method in class onnx.OnnxMlProto3.StringStringEntryProto
-
string value = 2;
- getValue() - Method in interface onnx.OnnxMlProto3.StringStringEntryProtoOrBuilder
-
string value = 2;
- getValue() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
string value = 2;
- getValue() - Method in class onnx.OnnxProto3.StringStringEntryProto
-
string value = 2;
- getValue() - Method in interface onnx.OnnxProto3.StringStringEntryProtoOrBuilder
-
string value = 2;
- getValue(Field) - Method in class org.nd4j.autodiff.functions.DifferentialFunction
-
Get the value for a given property
for this function
- getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.BaseConvolutionConfig
-
Get the value for a given property
for this function
- getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D
-
- getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
-
- getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D
-
- getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D
-
- getValue(Field) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D
-
- getValue() - Method in class org.nd4j.linalg.indexing.conditions.And
-
- getValue() - Method in class org.nd4j.linalg.indexing.conditions.BaseCondition
-
- getValue() - Method in interface org.nd4j.linalg.indexing.conditions.Condition
-
- getValue() - Method in class org.nd4j.linalg.indexing.conditions.ConditionEquals
-
- getValue() - Method in class org.nd4j.linalg.indexing.conditions.Not
-
- getValue() - Method in class org.nd4j.linalg.indexing.conditions.Or
-
- getValue(int) - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- getValue(int) - Method in class org.tensorflow.framework.Summary
-
Set of values for the summary.
- getValue(int) - Method in interface org.tensorflow.framework.SummaryOrBuilder
-
Set of values for the summary.
- getValue() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
.tensorflow.AttrValue value = 2;
- getValue() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault
-
.tensorflow.AttrValue value = 2;
- getValue() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefaultOrBuilder
-
.tensorflow.AttrValue value = 2;
- getValueBuilder(int) - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- getValueBuilder() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
.tensorflow.AttrValue value = 2;
- getValueBuilderList() - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- getValueBytes() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
string value = 2;
- getValueBytes() - Method in class onnx.OnnxMlProto3.StringStringEntryProto
-
string value = 2;
- getValueBytes() - Method in interface onnx.OnnxMlProto3.StringStringEntryProtoOrBuilder
-
string value = 2;
- getValueBytes() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
string value = 2;
- getValueBytes() - Method in class onnx.OnnxProto3.StringStringEntryProto
-
string value = 2;
- getValueBytes() - Method in interface onnx.OnnxProto3.StringStringEntryProtoOrBuilder
-
string value = 2;
- getValueCase() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- getValueCase() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
-
- getValueCase() - Method in interface onnx.OnnxMlProto3.TensorShapeProto.DimensionOrBuilder
-
- getValueCase() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- getValueCase() - Method in class onnx.OnnxMlProto3.TypeProto
-
- getValueCase() - Method in interface onnx.OnnxMlProto3.TypeProtoOrBuilder
-
- getValueCase() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- getValueCase() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension
-
- getValueCase() - Method in interface onnx.OnnxProto3.TensorShapeProto.DimensionOrBuilder
-
- getValueCase() - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- getValueCase() - Method in class onnx.OnnxProto3.TypeProto
-
- getValueCase() - Method in interface onnx.OnnxProto3.TypeProtoOrBuilder
-
- getValueCase() - Method in class org.tensorflow.framework.AttrValue.Builder
-
- getValueCase() - Method in class org.tensorflow.framework.AttrValue
-
- getValueCase() - Method in interface org.tensorflow.framework.AttrValueOrBuilder
-
- getValueCase() - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- getValueCase() - Method in class org.tensorflow.framework.Summary.Value
-
- getValueCase() - Method in interface org.tensorflow.framework.Summary.ValueOrBuilder
-
- getValueCount() - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- getValueCount() - Method in class org.tensorflow.framework.Summary
-
Set of values for the summary.
- getValueCount() - Method in interface org.tensorflow.framework.SummaryOrBuilder
-
Set of values for the summary.
- getValueDescriptor() - Method in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
-
- getValueDescriptor() - Method in enum onnx.OnnxMlProto3.TensorProto.DataType
-
- getValueDescriptor() - Method in enum onnx.OnnxMlProto3.Version
-
- getValueDescriptor() - Method in enum onnx.OnnxOperatorsProto3.OperatorProto.OperatorStatus
-
- getValueDescriptor() - Method in enum onnx.OnnxProto3.AttributeProto.AttributeType
-
- getValueDescriptor() - Method in enum onnx.OnnxProto3.TensorProto.DataType
-
- getValueDescriptor() - Method in enum onnx.OnnxProto3.Version
-
- getValueDescriptor() - Method in enum org.tensorflow.framework.ApiDef.Visibility
-
- getValueDescriptor() - Method in enum org.tensorflow.framework.DataType
-
- getValueDescriptor() - Method in enum org.tensorflow.framework.GraphTransferInfo.Destination
-
- getValueDescriptor() - Method in enum org.tensorflow.framework.RemoteFusedGraphExecuteInfo.NodeType
-
- getValueInfo(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfo(int) - Method in class onnx.OnnxMlProto3.GraphProto
-
Information for the values in the graph.
- getValueInfo(int) - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
Information for the values in the graph.
- getValueInfo(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfo(int) - Method in class onnx.OnnxProto3.GraphProto
-
Information for the values in the graph.
- getValueInfo(int) - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
Information for the values in the graph.
- getValueInfoBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoBuilderList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoCount() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoCount() - Method in class onnx.OnnxMlProto3.GraphProto
-
Information for the values in the graph.
- getValueInfoCount() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
Information for the values in the graph.
- getValueInfoCount() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoCount() - Method in class onnx.OnnxProto3.GraphProto
-
Information for the values in the graph.
- getValueInfoCount() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
Information for the values in the graph.
- getValueInfoList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoList() - Method in class onnx.OnnxMlProto3.GraphProto
-
Information for the values in the graph.
- getValueInfoList() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
Information for the values in the graph.
- getValueInfoList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoList() - Method in class onnx.OnnxProto3.GraphProto
-
Information for the values in the graph.
- getValueInfoList() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
Information for the values in the graph.
- getValueInfoOrBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoOrBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto
-
Information for the values in the graph.
- getValueInfoOrBuilder(int) - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
Information for the values in the graph.
- getValueInfoOrBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoOrBuilder(int) - Method in class onnx.OnnxProto3.GraphProto
-
Information for the values in the graph.
- getValueInfoOrBuilder(int) - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
Information for the values in the graph.
- getValueInfoOrBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoOrBuilderList() - Method in class onnx.OnnxMlProto3.GraphProto
-
Information for the values in the graph.
- getValueInfoOrBuilderList() - Method in interface onnx.OnnxMlProto3.GraphProtoOrBuilder
-
Information for the values in the graph.
- getValueInfoOrBuilderList() - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- getValueInfoOrBuilderList() - Method in class onnx.OnnxProto3.GraphProto
-
Information for the values in the graph.
- getValueInfoOrBuilderList() - Method in interface onnx.OnnxProto3.GraphProtoOrBuilder
-
Information for the values in the graph.
- getValueList() - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- getValueList() - Method in class org.tensorflow.framework.Summary
-
Set of values for the summary.
- getValueList() - Method in interface org.tensorflow.framework.SummaryOrBuilder
-
Set of values for the summary.
- getValueOrBuilder(int) - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- getValueOrBuilder(int) - Method in class org.tensorflow.framework.Summary
-
Set of values for the summary.
- getValueOrBuilder(int) - Method in interface org.tensorflow.framework.SummaryOrBuilder
-
Set of values for the summary.
- getValueOrBuilder() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
.tensorflow.AttrValue value = 2;
- getValueOrBuilder() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault
-
.tensorflow.AttrValue value = 2;
- getValueOrBuilder() - Method in interface tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefaultOrBuilder
-
.tensorflow.AttrValue value = 2;
- getValueOrBuilderList() - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- getValueOrBuilderList() - Method in class org.tensorflow.framework.Summary
-
Set of values for the summary.
- getValueOrBuilderList() - Method in interface org.tensorflow.framework.SummaryOrBuilder
-
Set of values for the summary.
- getValues() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- getValueType() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- getValueType() - Method in class onnx.OnnxMlProto3.TypeProto.Map
-
This field MUST be present for this version of the IR.
- getValueType() - Method in interface onnx.OnnxMlProto3.TypeProto.MapOrBuilder
-
This field MUST be present for this version of the IR.
- getValueTypeBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- getValueTypeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- getValueTypeOrBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Map
-
This field MUST be present for this version of the IR.
- getValueTypeOrBuilder() - Method in interface onnx.OnnxMlProto3.TypeProto.MapOrBuilder
-
This field MUST be present for this version of the IR.
- getVariable(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get the variable based on the opName
- getVariableForArray(INDArray) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- getVariableName() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the variable tensor.
- getVariableName() - Method in class org.tensorflow.framework.VariableDef
-
Name of the variable tensor.
- getVariableName() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Name of the variable tensor.
- getVariableNameBytes() - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the variable tensor.
- getVariableNameBytes() - Method in class org.tensorflow.framework.VariableDef
-
Name of the variable tensor.
- getVariableNameBytes() - Method in interface org.tensorflow.framework.VariableDefOrBuilder
-
Name of the variable tensor.
- getVariablesAssociatedWithFunctions(List<DifferentialFunction>) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- getVariantVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- getVariantVal(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_VARIANT
- getVariantVal(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_VARIANT
- getVariantValBuilder(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- getVariantValBuilderList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- getVariantValCount() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- getVariantValCount() - Method in class org.tensorflow.framework.TensorProto
-
DT_VARIANT
- getVariantValCount() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_VARIANT
- getVariantValList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- getVariantValList() - Method in class org.tensorflow.framework.TensorProto
-
DT_VARIANT
- getVariantValList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_VARIANT
- getVariantValOrBuilder(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- getVariantValOrBuilder(int) - Method in class org.tensorflow.framework.TensorProto
-
DT_VARIANT
- getVariantValOrBuilder(int) - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_VARIANT
- getVariantValOrBuilderList() - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- getVariantValOrBuilderList() - Method in class org.tensorflow.framework.TensorProto
-
DT_VARIANT
- getVariantValOrBuilderList() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
DT_VARIANT
- getVarNameForFieldAndFunction(DifferentialFunction, String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Get the variable name to use
for resolving a given field
for a given function during import time.
- getVarOffset(int) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Offset of this variable into the full variable.
- getVarOffset(int) - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Offset of this variable into the full variable.
- getVarOffset(int) - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Offset of this variable into the full variable.
- getVarOffsetCount() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Offset of this variable into the full variable.
- getVarOffsetCount() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Offset of this variable into the full variable.
- getVarOffsetCount() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Offset of this variable into the full variable.
- getVarOffsetList() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Offset of this variable into the full variable.
- getVarOffsetList() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Offset of this variable into the full variable.
- getVarOffsetList() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Offset of this variable into the full variable.
- getVarShape(int) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of this variable.
- getVarShape(int) - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Shape of this variable.
- getVarShape(int) - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Shape of this variable.
- getVarShapeCount() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of this variable.
- getVarShapeCount() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Shape of this variable.
- getVarShapeCount() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Shape of this variable.
- getVarShapeList() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of this variable.
- getVarShapeList() - Method in class org.tensorflow.framework.SaveSliceInfoDef
-
Shape of this variable.
- getVarShapeList() - Method in interface org.tensorflow.framework.SaveSliceInfoDefOrBuilder
-
Shape of this variable.
- getVectorCoordinates() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getVectorCoordinates() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Returns the indices of non-zero element of the vector
- getVectorCoordinates() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
Return the minor pointers.
- getVectorCoordinates() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Return a array of non-major pointers
i.e.
- getVectorCoordinates() - Method in interface org.nd4j.linalg.api.ndarray.ISparseNDArray
-
Return a array of non-major pointers
i.e.
- getVersion() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
The version of the operator set being identified.
- getVersion() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto
-
The version of the operator set being identified.
- getVersion() - Method in interface onnx.OnnxMlProto3.OperatorSetIdProtoOrBuilder
-
The version of the operator set being identified.
- getVersion() - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
The version of the operator set being identified.
- getVersion() - Method in class onnx.OnnxProto3.OperatorSetIdProto
-
The version of the operator set being identified.
- getVersion() - Method in interface onnx.OnnxProto3.OperatorSetIdProtoOrBuilder
-
The version of the operator set being identified.
- getVersion() - Method in class org.tensorflow.framework.GraphDef.Builder
-
Deprecated.
- getVersion() - Method in class org.tensorflow.framework.GraphDef
-
Deprecated.
- getVersion() - Method in interface org.tensorflow.framework.GraphDefOrBuilder
-
Deprecated.
- getVersion() - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
First GraphDef version at which the op is disallowed.
- getVersion() - Method in class org.tensorflow.framework.OpDeprecation
-
First GraphDef version at which the op is disallowed.
- getVersion() - Method in interface org.tensorflow.framework.OpDeprecationOrBuilder
-
First GraphDef version at which the op is disallowed.
- getVersion() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
A user-specified version string.
- getVersion() - Method in class org.tensorflow.util.IteratorStateMetadata
-
A user-specified version string.
- getVersion() - Method in interface org.tensorflow.util.IteratorStateMetadataOrBuilder
-
A user-specified version string.
- getVersionBytes() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
A user-specified version string.
- getVersionBytes() - Method in class org.tensorflow.util.IteratorStateMetadata
-
A user-specified version string.
- getVersionBytes() - Method in interface org.tensorflow.util.IteratorStateMetadataOrBuilder
-
A user-specified version string.
- getVersionInfos() - Static method in class org.nd4j.versioncheck.VersionCheck
-
- getVersionNumber() - Method in class org.tensorflow.framework.TensorProto.Builder
-
Version number.
- getVersionNumber() - Method in class org.tensorflow.framework.TensorProto
-
Version number.
- getVersionNumber() - Method in interface org.tensorflow.framework.TensorProtoOrBuilder
-
Version number.
- getVersions() - Method in class org.tensorflow.framework.GraphDef.Builder
-
Compatibility versions of the graph.
- getVersions() - Method in class org.tensorflow.framework.GraphDef
-
Compatibility versions of the graph.
- getVersions() - Method in interface org.tensorflow.framework.GraphDefOrBuilder
-
Compatibility versions of the graph.
- getVersionsBuilder() - Method in class org.tensorflow.framework.GraphDef.Builder
-
Compatibility versions of the graph.
- getVersionsOrBuilder() - Method in class org.tensorflow.framework.GraphDef.Builder
-
Compatibility versions of the graph.
- getVersionsOrBuilder() - Method in class org.tensorflow.framework.GraphDef
-
Compatibility versions of the graph.
- getVersionsOrBuilder() - Method in interface org.tensorflow.framework.GraphDefOrBuilder
-
Compatibility versions of the graph.
- getVisibility() - Method in class org.tensorflow.framework.ApiDef.Builder
-
.tensorflow.ApiDef.Visibility visibility = 2;
- getVisibility() - Method in class org.tensorflow.framework.ApiDef
-
.tensorflow.ApiDef.Visibility visibility = 2;
- getVisibility() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
.tensorflow.ApiDef.Visibility visibility = 2;
- getVisibilityValue() - Method in class org.tensorflow.framework.ApiDef.Builder
-
.tensorflow.ApiDef.Visibility visibility = 2;
- getVisibilityValue() - Method in class org.tensorflow.framework.ApiDef
-
.tensorflow.ApiDef.Visibility visibility = 2;
- getVisibilityValue() - Method in interface org.tensorflow.framework.ApiDefOrBuilder
-
.tensorflow.ApiDef.Visibility visibility = 2;
- getWhere(INDArray, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getWhere(Number, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getWhere(INDArray, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getWhere(Number, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- getWhere(INDArray, Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Boolean indexing:
Return the element if it fulfills the condition in
result array
- getWhere(Number, Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Boolean indexing:
Return the element if it fulfills the condition in
result array
- getWidth() - Method in class org.tensorflow.framework.Summary.Image.Builder
-
int32 width = 2;
- getWidth() - Method in class org.tensorflow.framework.Summary.Image
-
int32 width = 2;
- getWidth() - Method in interface org.tensorflow.framework.Summary.ImageOrBuilder
-
int32 width = 2;
- getWorkFinished() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
int64 work_finished = 2;
- getWorkFinished() - Method in class org.tensorflow.framework.ReaderBaseState
-
int64 work_finished = 2;
- getWorkFinished() - Method in interface org.tensorflow.framework.ReaderBaseStateOrBuilder
-
int64 work_finished = 2;
- getWorkspaceConfiguration() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method returns WorkspaceConfiguration bean that was used for given Workspace instance
- getWorkspaceForCurrentThread() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method will return workspace with default configuration and default id.
- getWorkspaceForCurrentThread(String) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- getWorkspaceManager() - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns WorkspaceManager implementation to be used within this JVM process
- getWorkspaceType() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
- getWorkspaceType() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- getWorkStarted() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
int64 work_started = 1;
- getWorkStarted() - Method in class org.tensorflow.framework.ReaderBaseState
-
int64 work_started = 1;
- getWorkStarted() - Method in interface org.tensorflow.framework.ReaderBaseStateOrBuilder
-
int64 work_started = 1;
- goingToCompress(DataBuffer.TypeEx, DataBuffer.TypeEx) - Static method in class org.nd4j.linalg.compression.CompressionUtils
-
- goingToDecompress(DataBuffer.TypeEx, DataBuffer.TypeEx) - Static method in class org.nd4j.linalg.compression.CompressionUtils
-
- grad(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Gradient with respect
to the given variable opName.
- GradCheckUtil - Class in org.nd4j.autodiff.gradcheck
-
Gradient check utility
- GradCheckUtil() - Constructor for class org.nd4j.autodiff.gradcheck.GradCheckUtil
-
- gradient() - Method in class org.nd4j.autodiff.samediff.SDVariable
-
Nicer looking alias
for the gradient variable.
- GRADIENT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.FunctionDefLibrary
-
- GRADIENT_FUNC_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GradientDef
-
- gradientBackwardsMarker(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gradientBackwardsMarker(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- gradientBackwardsMarker(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- GradientBackwardsMarker - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient
-
- GradientBackwardsMarker(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker
-
- GradientBackwardsMarker(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker
-
- GradientBackwardsMarker(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker
-
- GradientBackwardsMarker() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker
-
- GradientBackwardsMarker(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker
-
- GradientBackwardsMarker(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker
-
- GradientBackwardsMarker(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker
-
- GradientDef - Class in org.tensorflow.framework
-
GradientDef defines the gradient function of a function defined in
a function library.
- GradientDef.Builder - Class in org.tensorflow.framework
-
GradientDef defines the gradient function of a function defined in
a function library.
- GradientDefOrBuilder - Interface in org.tensorflow.framework
-
- GradientOp - Interface in org.nd4j.linalg.api.ops
-
A gradient op represents
a jacobian operation
- GradientUpdater<T extends IUpdater> - Interface in org.nd4j.linalg.learning
-
Gradient modifications: Calculates an update and tracks related information for gradient changes over time
for handling updates.
- GRAPH - Static variable in class org.nd4j.graph.OpClass
-
- GRAPH - Static variable in class org.nd4j.graph.OpType
-
- GRAPH_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.ModelProto
-
- GRAPH_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.ModelProto
-
- GRAPH_INPUT_NODE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo
-
- GRAPH_INPUT_NODE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- GRAPH_INPUT_VALUE - Static variable in enum org.tensorflow.framework.RemoteFusedGraphExecuteInfo.NodeType
-
GRAPH_INPUT = 1;
- GRAPH_OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef
-
- GRAPH_OUTPUT_NODE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo
-
- GRAPH_OUTPUT_NODE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- GRAPH_OUTPUT_VALUE - Static variable in enum org.tensorflow.framework.RemoteFusedGraphExecuteInfo.NodeType
-
GRAPH_OUTPUT = 2;
- GRAPH_VALUE - Static variable in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
-
GRAPH = 5;
- GRAPH_VALUE - Static variable in enum onnx.OnnxProto3.AttributeProto.AttributeType
-
GRAPH = 5;
- GraphDef - Class in org.tensorflow.framework
-
Represents the graph of operations
- GraphDef.Builder - Class in org.tensorflow.framework
-
Represents the graph of operations
- GraphDefOrBuilder - Interface in org.tensorflow.framework
-
- GraphExecutioner - Interface in org.nd4j.autodiff.execution
-
This interface
- GraphExecutioner.Type - Enum in org.nd4j.autodiff.execution
-
- GraphMapper<GRAPH_TYPE,NODE_TYPE,ATTR_TYPE,TENSOR_TYPE> - Interface in org.nd4j.imports.graphmapper
-
Map graph proto types to
SameDiff instances
- GraphProtos - Class in org.tensorflow.framework
-
- GRAPHS_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.AttributeProto
-
- GRAPHS_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.AttributeProto
-
- GRAPHS_VALUE - Static variable in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
-
GRAPHS = 10;
- GRAPHS_VALUE - Static variable in enum onnx.OnnxProto3.AttributeProto.AttributeType
-
GRAPHS = 10;
- GraphTransferInfo - Class in org.tensorflow.framework
-
Protocol buffer representing a handle to a tensorflow resource.
- GraphTransferInfo.Builder - Class in org.tensorflow.framework
-
Protocol buffer representing a handle to a tensorflow resource.
- GraphTransferInfo.ConstNodeInfo - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferInfo.ConstNodeInfo
- GraphTransferInfo.ConstNodeInfo.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferInfo.ConstNodeInfo
- GraphTransferInfo.ConstNodeInfoOrBuilder - Interface in org.tensorflow.framework
-
- GraphTransferInfo.Destination - Enum in org.tensorflow.framework
-
Protobuf enum tensorflow.GraphTransferInfo.Destination
- GraphTransferInfo.GraphInputNodeInfo - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferInfo.GraphInputNodeInfo
- GraphTransferInfo.GraphInputNodeInfo.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferInfo.GraphInputNodeInfo
- GraphTransferInfo.GraphInputNodeInfoOrBuilder - Interface in org.tensorflow.framework
-
- GraphTransferInfo.GraphOutputNodeInfo - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferInfo.GraphOutputNodeInfo
- GraphTransferInfo.GraphOutputNodeInfo.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferInfo.GraphOutputNodeInfo
- GraphTransferInfo.GraphOutputNodeInfoOrBuilder - Interface in org.tensorflow.framework
-
- GraphTransferInfo.NodeInfo - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferInfo.NodeInfo
- GraphTransferInfo.NodeInfo.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferInfo.NodeInfo
- GraphTransferInfo.NodeInfoOrBuilder - Interface in org.tensorflow.framework
-
- GraphTransferInfo.NodeInput - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferInfo.NodeInput
- GraphTransferInfo.NodeInput.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferInfo.NodeInput
- GraphTransferInfo.NodeInputInfo - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferInfo.NodeInputInfo
- GraphTransferInfo.NodeInputInfo.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferInfo.NodeInputInfo
- GraphTransferInfo.NodeInputInfoOrBuilder - Interface in org.tensorflow.framework
-
- GraphTransferInfo.NodeInputOrBuilder - Interface in org.tensorflow.framework
-
- GraphTransferInfo.NodeOutputInfo - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferInfo.NodeOutputInfo
- GraphTransferInfo.NodeOutputInfo.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.GraphTransferInfo.NodeOutputInfo
- GraphTransferInfo.NodeOutputInfoOrBuilder - Interface in org.tensorflow.framework
-
- GraphTransferInfoOrBuilder - Interface in org.tensorflow.framework
-
- GraphTransferInfoProto - Class in org.tensorflow.framework
-
- GreaterThan - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
-
Bit mask over the ndarrays as to whether
the components are greater than or not
- GreaterThan() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThan
-
- GreaterThan(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThan
-
- GreaterThan(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThan
-
- greaterThan(IComplexNumber) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- greaterThan(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- GreaterThan - Class in org.nd4j.linalg.indexing.conditions
-
Created by agibsonccc on 10/8/14.
- GreaterThan() - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThan
-
Special constructor for pairwise boolean operations.
- GreaterThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThan
-
- GreaterThan(IComplexNumber) - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThan
-
- GreaterThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
-
Bit mask over the ndarrays as to whether
the components are greater than or equal or not
- GreaterThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThanOrEqual
-
- GreaterThanOrEqual(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThanOrEqual
-
- GreaterThanOrEqual(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThanOrEqual
-
- greaterThanOrEqual(IComplexNumber) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- greaterThanOrEqual(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- GreaterThanOrEqual - Class in org.nd4j.linalg.indexing.conditions
-
Created by agibsonccc on 10/8/14.
- GreaterThanOrEqual() - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual
-
Special constructor for pairwise boolean operations.
- GreaterThanOrEqual(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual
-
- GreaterThanOrEqual(IComplexNumber) - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual
-
- greaterThanOrEqual(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
1 if greater than or equal to 0 otherwise (at each element)
- greaterThanOrEqual(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Eps function
- grid - Variable in class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp
-
- GridDescriptor - Class in org.nd4j.linalg.api.ops.grid
-
- GridDescriptor() - Constructor for class org.nd4j.linalg.api.ops.grid.GridDescriptor
-
- GridExecutioner - Interface in org.nd4j.linalg.api.ops.executioner
-
- GridOp - Interface in org.nd4j.linalg.api.ops
-
MetaOp is special op, that contains multiple ops
- GridPointers - Class in org.nd4j.linalg.api.ops.grid
-
POJO describing OP
- GridPointers(Op, int...) - Constructor for class org.nd4j.linalg.api.ops.grid.GridPointers
-
- gru(GRUCellConfiguration) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
The gru cell
- gru(String, GRUCellConfiguration) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
The gru cell
- GRUCell - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent
-
GRU cell for RNNs
- GRUCell() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell
-
- GRUCell(SameDiff, GRUCellConfiguration) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell
-
- GRUCellConfiguration - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent.config
-
- GRUCellConfiguration() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.GRUCellConfiguration
-
- gt(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gt(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gt(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- gt(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- gt(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- gt(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- gt(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- gt(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- gt(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- gt(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- gt(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- gt(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- gt(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- gt(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- gt(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- gt(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- gt(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Greater" comparison.
- gt(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Greter" comparison.
- gt(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
-
Broadcast greater than op.
- gte(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gte(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gte(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- gte(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- gte(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- gte(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- gte(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- gte(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- gte(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns binary ndarray for "Greter or equals" comparison.
- gte(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
-
Broadcast greater than or equal to op.
- gtei(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gtei(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gtei(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- gtei(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- gtei(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Greter or equals" comparison.
- gti(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gti(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- gti(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- gti(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- gti(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- gti(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- gti(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- gti(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- gti(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- gti(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- gti(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- gti(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- gti(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Greter" comparison.
- gti(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Greter" comparison.
- guid - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- s0 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.Dilation2D
-
- s1 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.Dilation2D
-
- s2 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.Dilation2D
-
- s3 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.Dilation2D
-
- S_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.AttributeProto
-
- S_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.AttributeProto
-
- S_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue.ListValue
-
- S_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue
-
- SaddlePointExpansion - Class in org.nd4j.linalg.api.rng.distribution.impl
-
Utility class used by various distributions to accurately compute their
respective probability mass functions.
- SAFETY_OFFSET - Static variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- sameDiff - Variable in class org.nd4j.autodiff.functions.DifferentialFunction
-
- sameDiff - Variable in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sameDiff() - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- SameDiff - Class in org.nd4j.autodiff.samediff
-
SameDiff is the
entrypoint for
nd4j's autodiff.
- sameDiff(SameDiff) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.SameDiffBuilder
-
- SameDiff.DefaultSameDiffConditional - Class in org.nd4j.autodiff.samediff
-
- SameDiff.SameDiffConditional - Interface in org.nd4j.autodiff.samediff
-
An interface for representing a conditional statement
- SameDiff.SameDiffFunctionDefinition - Interface in org.nd4j.autodiff.samediff
-
A function definition for
samediff
- sameDiffBuilder(String, SameDiff) - Static method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- SameDiffBuilder(String, SameDiff, long, int, int, boolean, int, int) - Constructor for class org.nd4j.linalg.api.ops.DynamicCustomOp.SameDiffBuilder
-
- SameDiffOpExecutioner - Class in org.nd4j.autodiff.samediff
-
- SameDiffOpExecutioner() - Constructor for class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
-
- sample() - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
Generate a random value sampled from this distribution.
- sample(int) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
Generate a random sample from the distribution.
- sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
- sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
- sample() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Generate a random value sampled from this distribution.
- sample(int) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Generate a random sample from the distribution.
- sample(int[]) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Sample the given shape
- sample(INDArray) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Fill the target array by sampling from the distribution
- sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
- sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
- sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
Generate a random value sampled from this distribution.
- sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
- sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
-
- sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
Generate a random value sampled from this distribution.
- sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
- sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
-
- sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Generate a random value sampled from this distribution.
- sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
- sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
- sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
Generate a random value sampled from this distribution.
- sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
- sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
-
- sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
Generate a random value sampled from this distribution.
- sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
- sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
-
- sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
Generate a random value sampled from this distribution.
- sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
- sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
- sample(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- sample(int, Random) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- sample(int, boolean) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- sample(int, Random, boolean) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- sample(int) - Method in class org.nd4j.linalg.dataset.DataSet
-
Sample without replacement and a random rng
- sample(int, Random) - Method in class org.nd4j.linalg.dataset.DataSet
-
Sample without replacement
- sample(int, boolean) - Method in class org.nd4j.linalg.dataset.DataSet
-
Sample a dataset numSamples times
- sample(int, Random, boolean) - Method in class org.nd4j.linalg.dataset.DataSet
-
Sample a dataset
- SAMPLE_RATE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Audio
-
- SamplingDataSetIterator - Class in org.nd4j.linalg.dataset.api.iterator
-
A wrapper for a dataset to sample from.
- SamplingDataSetIterator(DataSet, int, int, boolean) - Constructor for class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- SamplingDataSetIterator(DataSet, int, int) - Constructor for class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- sasum(int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- sasum(int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- sasum(int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- save(OutputStream) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Write the contents of this DataSet to the specified OutputStream
- save(File) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Save this DataSet to a file.
- save(File, File) - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler
-
Deprecated.
Save the current mean and std
- save(OutputStream) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Save this MultiDataSet to the specified stream.
- save(File) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Save this MultiDataSet to the specified file
- save(List<File>, List<File>) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
-
- save(File...) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- save(File...) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- save(File, File) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats
-
Save distribution statistics to the file system
- save(OutputStream) - Method in class org.nd4j.linalg.dataset.DataSet
-
- save(File) - Method in class org.nd4j.linalg.dataset.DataSet
-
- save(OutputStream) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- save(File) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- SAVE_SLICE_INFO_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VariableDef
-
- saveBinary(INDArray, File) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Save an ndarray to the given file
- SaveSliceInfoDef - Class in org.tensorflow.framework
-
Protobuf type tensorflow.SaveSliceInfoDef
- SaveSliceInfoDef.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.SaveSliceInfoDef
- SaveSliceInfoDefOrBuilder - Interface in org.tensorflow.framework
-
- SaveV2 - Class in org.nd4j.linalg.api.ops.persistence
-
- SaveV2() - Constructor for class org.nd4j.linalg.api.ops.persistence.SaveV2
-
- saxpy(int, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- saxpy(int, float, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- saxpy(double, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- saxpy(float, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- saxpy(double, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- saxpy(float, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- saxpy(double, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- saxpy(float, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- saxpyi(int, double, INDArray, DataBuffer, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- sbmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
sbmv computes a matrix-vector product using a symmetric band matrix:
y := alpha*a*x + beta*y.
- sbmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- sbmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
sbmv computes a matrix-vector product using a symmetric band matrix:
y := alpha*a*x + beta*y.
- scal(int, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
computes a vector by a scalar product.
- scal(int, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
computes a vector by a scalar product.
- scal(int, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
Computes the product of a vector by a scalar.
- scal(int, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- scal(int, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes a vector by a scalar product.
- scal(int, IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes a vector by a scalar product.
- scal(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- scal(double, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- scal(float, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- scal(IComplexFloat, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- scal(IComplexDouble, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- scal(double, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- scal(float, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- scal(IComplexFloat, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- scal(IComplexDouble, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- scal(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- scal(double, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- scal(float, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- scal(IComplexFloat, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- scal(IComplexDouble, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- scal(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute x <- alpha * x (scale a matrix)
- scalar(String, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- scalar() - Method in class org.nd4j.graph.FlatNode
-
- SCALAR - Static variable in class org.nd4j.graph.OpType
-
- scalar() - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
-
- scalar() - Method in interface org.nd4j.linalg.api.ops.ScalarOp
-
The normal scalar
- scalar(Number, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(float, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(double, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(int, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(Number) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(float) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(double) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexNumber, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(IComplexFloat) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexDouble) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexNumber) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(IComplexFloat, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexDouble, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(Number, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar ndarray with the specified offset
- scalar(double, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar nd array with the specified value and offset
- scalar(float, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar nd array with the specified value and offset
- scalar(Number) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar ndarray with the specified offset
- scalar(double) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar nd array with the specified value and offset
- scalar(float) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexNumber, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar ndarray with the specified offset
- scalar(IComplexFloat) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexDouble) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexNumber) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar ndarray with the specified offset
- scalar(IComplexFloat, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexDouble, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar nd array with the specified value and offset
- scalar(Number, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(float, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(double, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(int, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- scalar(Number) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(float) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(double) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexNumber, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(IComplexFloat) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexDouble) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexNumber) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(IComplexFloat, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexDouble, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- ScalarAdd - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar addition
- ScalarAdd() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
-
- ScalarAdd(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
-
- ScalarAdd(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
-
- ScalarAdd(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
-
- ScalarAdd(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
-
- ScalarAdd(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
-
- ScalarAdd(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
-
- ScalarDivision - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar division
- ScalarDivision() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
-
- ScalarDivision(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
-
- ScalarDivision(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
-
- ScalarDivision(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
-
- ScalarDivision(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
-
- ScalarDivision(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
-
- ScalarDivision(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
-
- ScalarEquals - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1) when greater than a number
- ScalarEquals() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- ScalarEquals(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- ScalarEquals(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- ScalarEquals(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- ScalarEquals(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- ScalarEquals(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- ScalarEquals(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- ScalarEquals(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- scalarEquals(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Returns true if the given shapes are both scalars (0 dimension or shape[0] == 1)
- ScalarFMod - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar floating-point remainder (fmod)
- ScalarFMod() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod
-
- ScalarFMod(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod
-
- ScalarFMod(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod
-
- ScalarGreaterThan - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1) when greater than a number
- ScalarGreaterThan() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
-
- ScalarGreaterThan(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
-
- ScalarGreaterThan(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
-
- ScalarGreaterThan(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
-
- ScalarGreaterThan(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
-
- ScalarGreaterThan(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
-
- ScalarGreaterThan(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
-
- ScalarGreaterThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1) when greater than or equal to a number
- ScalarGreaterThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
-
- ScalarGreaterThanOrEqual(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
-
- ScalarGreaterThanOrEqual(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
-
- ScalarGreaterThanOrEqual(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
-
- ScalarGreaterThanOrEqual(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
-
- ScalarGreaterThanOrEqual(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
-
- ScalarGreaterThanOrEqual(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
-
- ScalarLessThan - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1) when less than a number
- ScalarLessThan() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan
-
- ScalarLessThan(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan
-
- ScalarLessThan(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan
-
- ScalarLessThan(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan
-
- ScalarLessThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1) when less than
or equal to a number
- ScalarLessThanOrEqual(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
-
- ScalarLessThanOrEqual(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
-
- ScalarLessThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
-
- ScalarLessThanOrEqual(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
-
- ScalarLessThanOrEqual(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
-
- ScalarMax - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar max operation.
- ScalarMax() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax
-
- ScalarMax(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax
-
- ScalarMax(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax
-
- ScalarMin - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar max operation.
- ScalarMin() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin
-
- ScalarMin(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin
-
- ScalarMin(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin
-
- ScalarMultiplication - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar multiplication
- ScalarMultiplication() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
-
- ScalarMultiplication(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
-
- ScalarMultiplication(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
-
- ScalarMultiplication(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
-
- ScalarMultiplication(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
-
- ScalarMultiplication(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
-
- ScalarMultiplication(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
-
- ScalarMultiplication(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
-
- ScalarNotEquals - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1)
when greater than a number
- ScalarNotEquals() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
-
- ScalarNotEquals(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
-
- ScalarNotEquals(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
-
- ScalarNotEquals(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
-
- ScalarNotEquals(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
-
- ScalarNotEquals(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
-
- ScalarNotEquals(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
-
- ScalarOp - Interface in org.nd4j.linalg.api.ops
-
Applies a scalar
along a bigger input array.
- ScalarRemainder - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar floating-point remainder
- ScalarRemainder() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
-
- ScalarRemainder(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
-
- ScalarRemainder(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
-
- ScalarRemainder(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
-
- ScalarRemainder(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
-
- ScalarRemainder(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
-
- ScalarRemainder(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
-
- ScalarReverseDivision - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar reverse division
- ScalarReverseDivision() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
-
- ScalarReverseDivision(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
-
- ScalarReverseDivision(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
-
- ScalarReverseDivision(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
-
- ScalarReverseDivision(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
-
- ScalarReverseDivision(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
-
- ScalarReverseDivision(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
-
- ScalarReverseSubtraction - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar reverse subtraction
- ScalarReverseSubtraction() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
-
- ScalarReverseSubtraction(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
-
- ScalarReverseSubtraction(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
-
- ScalarReverseSubtraction(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
-
- ScalarReverseSubtraction(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
-
- ScalarReverseSubtraction(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
-
- ScalarReverseSubtraction(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
-
- ScalarSet - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar max operation.
- ScalarSet() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
-
- ScalarSet(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
-
- ScalarSet(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
-
- ScalarSet(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
-
- ScalarSet(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
-
- ScalarSet(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
-
- ScalarSet(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
-
- ScalarSetValue - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Scalar value set operation.
- ScalarSetValue(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
-
- ScalarSetValue(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
-
- ScalarSetValue(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
-
- ScalarSetValue(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
-
- ScalarSetValue() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
-
- ScalarSetValue(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
-
- ScalarSetValue(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
-
- ScalarSubtraction - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar subtraction
- ScalarSubtraction() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
-
- ScalarSubtraction(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
-
- ScalarSubtraction(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
-
- ScalarSubtraction(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
-
- ScalarSubtraction(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
-
- ScalarSubtraction(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
-
- ScalarSubtraction(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
-
- ScalarSubtraction(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
-
- scalarValue - Variable in class org.nd4j.autodiff.functions.DifferentialFunction
-
- scale() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- scale() - Method in class org.nd4j.linalg.dataset.DataSet
-
Divides the input data transform
by the max number in each row
- scaleByMax(INDArray) - Static method in class org.nd4j.linalg.util.FeatureUtil
-
Divides each row by its max
- scaleFactor - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling
-
- scaleMinAndMax(double, double) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- scaleMinAndMax(double, double) - Method in class org.nd4j.linalg.dataset.DataSet
-
- scaleMinMax(double, double, INDArray) - Static method in class org.nd4j.linalg.util.FeatureUtil
-
Scales the ndarray columns
to the given min/max values
- scan(Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- scan(Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- scan(Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
This method takes boolean condition, and returns number of elements matching this condition
- scasum(int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- scatterAdd(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- scatterAdd(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- scatterAdd(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- ScatterAdd - Class in org.nd4j.linalg.api.ops.impl.scatter
-
Created by farizrahman4u on 3/23/18.
- ScatterAdd(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterAdd
-
- ScatterAdd() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterAdd
-
- scatterDiv(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- scatterDiv(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- scatterDiv(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- ScatterDiv - Class in org.nd4j.linalg.api.ops.impl.scatter
-
Created by farizrahman4u on 3/23/18.
- ScatterDiv(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterDiv
-
- ScatterDiv() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterDiv
-
- scatterMul(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- scatterMul(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- scatterMul(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- ScatterMul - Class in org.nd4j.linalg.api.ops.impl.scatter
-
Created by farizrahman4u on 3/23/18.
- ScatterMul(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMul
-
- ScatterMul() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMul
-
- scatterSub(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- scatterSub(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- scatterSub(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- ScatterSub - Class in org.nd4j.linalg.api.ops.impl.scatter
-
Created by farizrahman4u on 3/23/18.
- ScatterSub(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterSub
-
- ScatterSub() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterSub
-
- ScatterUpdate - Class in org.nd4j.linalg.api.ops.custom
-
- ScatterUpdate(INDArray, INDArray, int[], int[], ScatterUpdate.UpdateOp) - Constructor for class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- ScatterUpdate(INDArray, INDArray, INDArray, int[], int[], ScatterUpdate.UpdateOp) - Constructor for class org.nd4j.linalg.api.ops.custom.ScatterUpdate
-
- ScatterUpdate.UpdateOp - Enum in org.nd4j.linalg.api.ops.custom
-
- SCHEDULED_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats
-
- ScheduleType - Enum in org.nd4j.linalg.schedule
-
- scnrm2(int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- SCOMPLEX_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto
-
- sconv2d(SDVariable[], Conv2DConfig) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
Separable Conv2d operation.
- sconv2d(SDVariable[], Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Separable Conv2d operation.
- sconv2d(String, SDVariable[], Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Separable Conv2d operation.
- SConv2D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
-
Separable convolution 2D operation
- SConv2D(SameDiff, SDVariable[], INDArray[], INDArray[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D
-
- SConv2D() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D
-
- SConv2DDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
-
SConv2DDerivative operation
- SConv2DDerivative(SameDiff, SDVariable[], INDArray[], INDArray[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2DDerivative
-
- SConv2DDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2DDerivative
-
- scoomv(char, int, DataBuffer, DataBuffer, DataBuffer, int, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- scopeId() - Method in class org.nd4j.graph.FlatNode
-
- scopeName() - Method in class org.nd4j.graph.FlatNode
-
- scopeNameAsByteBuffer() - Method in class org.nd4j.graph.FlatNode
-
- scopeOutOfWorkspaces() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- scopeOutOfWorkspaces() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method temporary opens block out of any workspace scope.
- scopeOutOfWorkspaces() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method temporary opens block out of any workspace scope.
- scopy(int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- scopy(int, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
-
- sdot(int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- sdot(int, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- sdoti(int, INDArray, DataBuffer, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- sdsdot(int, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- SDVariable - Class in org.nd4j.autodiff.samediff
-
A variable representing a component within a
graph.
- second() - Method in class org.nd4j.graph.IntPair
-
- second() - Method in class org.nd4j.graph.IntTriple
-
- second() - Method in class org.nd4j.graph.LongPair
-
- secondaryStride() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- secondaryStride() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Deprecated.
- secondaryStride() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- secondaryStride() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Return the second stride for an ndarray.
- seed - Variable in class org.nd4j.linalg.api.rng.DefaultRandom
-
- SEGMENT_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TensorProto
-
- SEGMENT_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.TensorProto
-
- Select - Class in org.nd4j.linalg.api.ops.impl.controlflow
-
- Select(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Select
-
- Select(INDArray[], INDArray[], List<Double>, List<Integer>) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Select
-
- Select(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Select
-
- Select(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Select
-
- selu(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- selu(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- selu(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- SELU - Class in org.nd4j.linalg.api.ops.impl.transforms
-
SELU activation function
- SELU(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELU
-
- SELU(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELU
-
- SELU(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELU
-
- SELU() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELU
-
- SELU(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELU
-
- SELU(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELU
-
- SELU(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELU
-
- seluDerivative(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- SELUDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient
-
SELU Derivative elementwise function
https://arxiv.org/pdf/1706.02515.pdf
- SELUDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative
-
- SELUDerivative(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative
-
- SELUDerivative(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative
-
- SELUDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative
-
- SELUDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative
-
- SELUDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative
-
- SELUDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative
-
- SEQUENCE_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TypeProto
-
- sequenceMask(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sequenceMask(SDVariable, int) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sequenceMask(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sequenceMask(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- sequenceMask(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- sequenceMask(String, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- sequenceMask(SDVariable, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- sequenceMask(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- sequenceMask(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- SequenceMask - Class in org.nd4j.linalg.api.ops.impl.shape
-
Created by farizrahman4u on 3/28/18.
- SequenceMask(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SequenceMask
-
- SequenceMask(SameDiff, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SequenceMask
-
- SequenceMask(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SequenceMask
-
- SEQUENTIAL - Static variable in class org.nd4j.graph.ExecutionMode
-
- serialize(INDArray, JsonGenerator, SerializerProvider) - Method in class org.nd4j.linalg.lossfunctions.serde.RowVectorSerializer
-
- SERIALIZED_EXECUTOR_PARAMETERS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
-
- serialVersionUID - Static variable in error org.nd4j.linalg.api.blas.BlasException
-
- Set - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Set
- Set(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Set
-
- Set(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Set
-
- Set(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Set
-
- Set(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Set
-
- Set() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Set
-
- Set(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Set
-
- Set(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Set
-
- Set(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Set
-
- set(Throwable) - Method in class org.nd4j.linalg.util.AtomicThrowable
-
This method updates state with given Throwable
- set(int, T) - Method in class org.nd4j.linalg.util.DeviceLocal
-
This method sets object for specific device
- set(T) - Method in class org.nd4j.linalg.util.DeviceLocal
-
This method sets object for current device
- set(int, X) - Method in class org.nd4j.list.BaseNDArrayList
-
- set(int, X) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
-
- set(int, Double) - Method in class org.nd4j.list.NDArrayList
-
- setActiveBranch(String, int) - Method in class org.nd4j.autodiff.samediff.flow.FlowPath
-
This method sets active/inactive branch for divergent nodes (aka Switch)
- setAlias(int, String) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Create *additional* API endpoints with different names (contrast
with rename_to, which affects the original name).
- setAliasInputPort(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
If >= 0, the output is an alias of an input.
- setAllEndRelMicros(long) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 all_end_rel_micros = 5;
- setAllocatedBytes(long) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Total number of bytes allocated if known
- setAllocationDescription(AllocationDescription) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Information about the size and allocator used for the data
- setAllocationDescription(AllocationDescription.Builder) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Information about the size and allocator used for the data
- setAllocationId(long) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Identifier of the allocated buffer if known
- setAllocationId(long) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Id of the tensor buffer being allocated, used to match to a
corresponding deallocation.
- setAllocationId(long) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- setAllocationId(long) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
Id of the tensor buffer being deallocated, used to match to a
corresponding allocation.
- setAllocationRecords(int, AllocationRecord) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- setAllocationRecords(int, AllocationRecord.Builder) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The allocation and deallocation timeline.
- setAllocatorBytesInUse(long) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
These are snapshots of the overall allocator memory stats.
- setAllocatorName(String) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Name of the allocator used
- setAllocatorName(String) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
string allocator_name = 1;
- setAllocatorName(String) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the allocator used.
- setAllocatorName(String) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the allocator used.
- setAllocatorName(String) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
Name of the allocator used.
- setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Name of the allocator used
- setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
string allocator_name = 1;
- setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the allocator used.
- setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the allocator used.
- setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
Name of the allocator used.
- setAllocBytes(long) - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
Number of bytes allocated, or de-allocated if negative.
- setAllocMicros(long) - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
The timestamp of the operation.
- setAllowedValues(AttrValue) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
A list of values that this kernel supports for this attr.
- setAllowedValues(AttrValue.Builder) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
A list of values that this kernel supports for this attr.
- setAllowedValues(AttrValue) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
The set of allowed values.
- setAllowedValues(AttrValue.Builder) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
The set of allowed values.
- setAllowsUninitializedInput(boolean) - Method in class org.tensorflow.framework.OpDef.Builder
-
By default, all inputs to an Op must be initialized Tensors.
- setAllStartMicros(long) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 all_start_micros = 2;
- setArgOrder(int, String) - Method in class org.tensorflow.framework.ApiDef.Builder
-
List of original in_arg names to specify new argument order.
- setAttr(int, ApiDef.Attr) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- setAttr(int, ApiDef.Attr.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Attr attr = 6;
- setAttr(int, OpDef.AttrDef) - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- setAttr(int, OpDef.AttrDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
-
repeated .tensorflow.OpDef.AttrDef attr = 4;
- setAttrDefault(int, OpGenOverridesOuterClass.OpGenOverride.AttrDefault) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- setAttrDefault(int, OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
- setAttribute(int, OnnxMlProto3.AttributeProto) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- setAttribute(int, OnnxMlProto3.AttributeProto.Builder) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
Additional named attributes.
- setAttribute(int, OnnxProto3.AttributeProto) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- setAttribute(int, OnnxProto3.AttributeProto.Builder) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
Additional named attributes.
- setAttrRename(int, OpGenOverridesOuterClass.OpGenOverride.Rename) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- setAttrRename(int, OpGenOverridesOuterClass.OpGenOverride.Rename.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
- setAudio(Summary.Audio) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Audio audio = 6;
- setAudio(Summary.Audio.Builder) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Audio audio = 6;
- setAutoGcWindow(int) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- setAutoGcWindow(int) - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method enables/disables periodic System.gc() calls.
- setB(boolean) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"bool"
- setB(int, boolean) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(bool)"
- setBadConsumers(int, int) - Method in class org.tensorflow.framework.VersionDef.Builder
-
Specific consumer versions which are disallowed (e.g.
- setBaseNameForFunctionInstanceId(String, DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Sets a base name for the function id.
- setBegin(long) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
int64 begin = 1;
- setBegin(long) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
int64 begin = 1;
- setBiasCorrected(boolean) - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- setBlasWrapper(BlasWrapper) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Sets the global blas wrapper
- setBoolVal(int, boolean) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_BOOL
- setBucket(int, double) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
repeated double bucket = 7 [packed = true];
- setBucketLimit(int, double) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
Parallel arrays encoding the bucket boundaries and the bucket values.
- setBusId(int) - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
Optional bus locality of device.
- setColorspace(int) - Method in class org.tensorflow.framework.Summary.Image.Builder
-
Valid colorspace values are
1 - grayscale
2 - grayscale + alpha
3 - RGB
4 - RGBA
5 - DIGITAL_YUV
6 - BGRA
- setColumnNames(List<String>) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- setColumnNames(List<String>) - Method in class org.nd4j.linalg.dataset.DataSet
-
Deprecated.
- setComplete(String, boolean) - Method in interface org.nd4j.linalg.dataset.api.iterator.cache.DataSetCache
-
Sets the flag indicating whether given namespace is fully cached
- setComplete(String, boolean) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache
-
- setComplete(String, boolean) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache
-
- setComplete(String, boolean) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache
-
- setComputeCost(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Estimate of the computational cost of this node, in microseconds.
- setComputeTime(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Analytical estimate of the computational cost of this node, in
microseconds.
- setConstNodeInfo(int, GraphTransferInfo.ConstNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- setConstNodeInfo(int, GraphTransferInfo.ConstNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
- setConstraint(int, KernelDef.AttrConstraint) - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- setConstraint(int, KernelDef.AttrConstraint.Builder) - Method in class org.tensorflow.framework.KernelDef.Builder
-
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
- setContainer(String) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Container in which this resource is placed.
- setContainerBytes(ByteString) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Container in which this resource is placed.
- setContent(ByteString) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
The content to store for the plugin.
- setContentType(String) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
string content_type = 5;
- setContentTypeBytes(ByteString) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
string content_type = 5;
- setControlInput(int, int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Ids of the control inputs for this node.
- setConvolution(ConvolutionInstance) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Set a convolution instance
- setCurrentWork(ByteString) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
bytes current_work = 4;
- setCurrentWorkspace(MemoryWorkspace) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- setCurrentWorkspace(MemoryWorkspace) - Method in interface org.nd4j.linalg.memory.MemoryManager
-
- setData(float[], INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Set the data for the underlying array.
- setData(double[], INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Set the data for the underlying array.
- setData(DataBuffer) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- setData(DataBuffer) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- setData(DataBuffer) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- setData(ByteString) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
bytes data = 4;
- setDataBufferLogEntries(List<DataBufferLogEntry>) - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
-
- setDataType(OnnxMlProto3.TensorProto.DataType) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The data type of the tensor.
- setDataType(OnnxProto3.TensorProto.DataType) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The data type of the tensor.
- setDataType(String) - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- setDataType(String) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- setDataType(DataBuffer.Type) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method sets dataType for the current JVM runtime
- setDataTypeValue(int) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The data type of the tensor.
- setDataTypeValue(int) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The data type of the tensor.
- setDcomplexVal(int, double) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX128.
- setDefaultCompression(String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Set the default compression algorithm
- setDefaultGraphInputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- setDefaultGraphInputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
- setDefaultGraphOutputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- setDefaultGraphOutputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Default graph input tensor shape used to allocate memory
before executing op
TODO(satok): Remote output tensor shape once shape information is stored
in NodeDef
- setDefaultValue(AttrValue) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Specify a new default value to use for this attr.
- setDefaultValue(AttrValue.Builder) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Specify a new default value to use for this attr.
- setDefaultValue(AttrValue) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A reasonable default for this attribute if the user does not supply
a value.
- setDefaultValue(AttrValue.Builder) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A reasonable default for this attribute if the user does not supply
a value.
- setDefaultWorkspaceConfiguration(WorkspaceConfiguration) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method allows to specify "Default" configuration, that will be used in signatures which do not have WorkspaceConfiguration argument
- setDeferred(boolean) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
True if the deallocation is queued and will be performed later,
e.g.
- setDeprecation(OpDeprecation) - Method in class org.tensorflow.framework.OpDef.Builder
-
Optional deprecation based on GraphDef versions.
- setDeprecation(OpDeprecation.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
-
Optional deprecation based on GraphDef versions.
- setDeprecationVersion(int) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
First GraphDef version at which the op is disallowed.
- setDescription(String) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
Note: this will replace any inherited arg doc.
- setDescription(String) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- setDescription(String) - Method in class org.tensorflow.framework.ApiDef.Builder
-
Additional, longer human-readable description of what the Op does.
- setDescription(String) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Human readable description.
- setDescription(String) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
Human-readable description.
- setDescription(String) - Method in class org.tensorflow.framework.OpDef.Builder
-
Additional, longer human-readable description of what the Op does.
- setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
Note: this will replace any inherited arg doc.
- setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Note: this will replace any inherited attr doc, there is no current
way of modifying attr descriptions as can be done with op descriptions.
- setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder
-
Additional, longer human-readable description of what the Op does.
- setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Human readable description.
- setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
Human-readable description.
- setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.Builder
-
Additional, longer human-readable description of what the Op does.
- setDescriptionPrefix(String) - Method in class org.tensorflow.framework.ApiDef.Builder
-
Modify an existing/inherited description by adding text to the beginning
or end.
- setDescriptionPrefixBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder
-
Modify an existing/inherited description by adding text to the beginning
or end.
- setDescriptionSuffix(String) - Method in class org.tensorflow.framework.ApiDef.Builder
-
string description_suffix = 10;
- setDescriptionSuffixBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder
-
string description_suffix = 10;
- setDestination(GraphTransferInfo.Destination) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Destination of graph transfer
- setDestinationValue(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Destination of graph transfer
- setDevice(String) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The device of the node.
- setDevice(String) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
string device = 1;
- setDevice(String) - Method in class org.tensorflow.framework.NodeDef.Builder
-
A (possibly partial) specification for the device on which this
node should be placed.
- setDevice(String) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name for the device containing the resource.
- setDeviceBytes(ByteString) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The device of the node.
- setDeviceBytes(ByteString) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
string device = 1;
- setDeviceBytes(ByteString) - Method in class org.tensorflow.framework.NodeDef.Builder
-
A (possibly partial) specification for the device on which this
node should be placed.
- setDeviceBytes(ByteString) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name for the device containing the resource.
- setDevicePersistentMemorySize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
int64 device_persistent_memory_size = 16;
- setDevicePersistentMemorySize(long) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
int64 device_persistent_memory_size = 4;
- setDevicePersistentTensorAllocIds(int, long) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 device_persistent_tensor_alloc_ids = 6;
- setDeviceTempMemorySize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
int64 device_temp_memory_size = 11;
- setDeviceTempMemorySize(long) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
int64 device_temp_memory_size = 2;
- setDeviceType(String) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of device_type.
- setDeviceType(String) - Method in class org.tensorflow.framework.KernelDef.Builder
-
Type of device this kernel runs on.
- setDeviceTypeBytes(ByteString) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of device_type.
- setDeviceTypeBytes(ByteString) - Method in class org.tensorflow.framework.KernelDef.Builder
-
Type of device this kernel runs on.
- setDevStats(int, DeviceStepStats) - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- setDevStats(int, DeviceStepStats.Builder) - Method in class org.tensorflow.framework.StepStats.Builder
-
repeated .tensorflow.DeviceStepStats dev_stats = 1;
- setDim(int, OnnxMlProto3.TensorShapeProto.Dimension) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- setDim(int, OnnxMlProto3.TensorShapeProto.Dimension.Builder) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- setDim(int, OnnxProto3.TensorShapeProto.Dimension) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- setDim(int, OnnxProto3.TensorShapeProto.Dimension.Builder) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
repeated .onnx.TensorShapeProto.Dimension dim = 1;
- setDim(int, TensorShapeProto.Dim) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- setDim(int, TensorShapeProto.Dim.Builder) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor.
- setDimension(int...) - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp
-
- setDimension(int...) - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
-
- setDimension(int...) - Method in interface org.nd4j.linalg.api.ops.BroadcastOp
-
Set the dimension for the vector op.
- setDimension(int...) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- setDimParam(String) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
namespace Shape
- setDimParam(String) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
namespace Shape
- setDimParamBytes(ByteString) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
namespace Shape
- setDimParamBytes(ByteString) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
namespace Shape
- setDims(int, long) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
The shape of the tensor.
- setDims(int, long) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
The shape of the tensor.
- setDimValue(long) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
int64 dim_value = 1;
- setDimValue(long) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
int64 dim_value = 1;
- setDisplayName(String) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Display name for viewing in TensorBoard.
- setDisplayNameBytes(ByteString) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Display name for viewing in TensorBoard.
- setDocString(String) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
A human-readable documentation for this attribute.
- setDocString(String) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A human-readable documentation for this graph.
- setDocString(String) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
A human-readable documentation for this model.
- setDocString(String) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
A human-readable documentation for this node.
- setDocString(String) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
A human-readable documentation for this tensor.
- setDocString(String) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
A human-readable documentation for this value.
- setDocString(String) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
A human-readable documentation for this operator.
- setDocString(String) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
A human-readable documentation for this set of operators.
- setDocString(String) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
A human-readable documentation for this attribute.
- setDocString(String) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A human-readable documentation for this graph.
- setDocString(String) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
A human-readable documentation for this model.
- setDocString(String) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
A human-readable documentation for this node.
- setDocString(String) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
A human-readable documentation for this tensor.
- setDocString(String) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
A human-readable documentation for this value.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
A human-readable documentation for this attribute.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A human-readable documentation for this graph.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
A human-readable documentation for this model.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
A human-readable documentation for this node.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
A human-readable documentation for this tensor.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
A human-readable documentation for this value.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
A human-readable documentation for this operator.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
A human-readable documentation for this set of operators.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
A human-readable documentation for this attribute.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A human-readable documentation for this graph.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
A human-readable documentation for this model.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
A human-readable documentation for this node.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
A human-readable documentation for this tensor.
- setDocStringBytes(ByteString) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
A human-readable documentation for this value.
- setDomain(String) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Domain name of the model.
- setDomain(String) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- setDomain(String) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
The domain of the operator set being identified.
- setDomain(String) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).
- setDomain(String) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Domain name of the model.
- setDomain(String) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- setDomain(String) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
The domain of the operator set being identified.
- setDomainBytes(ByteString) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Domain name of the model.
- setDomainBytes(ByteString) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- setDomainBytes(ByteString) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
The domain of the operator set being identified.
- setDomainBytes(ByteString) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).
- setDomainBytes(ByteString) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Domain name of the model.
- setDomainBytes(ByteString) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
The domain of the OperatorSet that specifies the operator named by op_type.
- setDomainBytes(ByteString) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
The domain of the operator set being identified.
- setDoubleData(int, double) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- setDoubleData(int, double) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- setDoubleVal(int, double) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_DOUBLE.
- setDType(DataBuffer.Type) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Sets the data opType
- setDType(DataBuffer.Type) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Sets the data opType
- setDtype(DataType) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.DataType dtype = 4;
- setDtype(DataType) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
.tensorflow.DataType dtype = 5;
- setDtype(DataType) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- setDtype(DataType) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- setDtype(DataType) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.DataType dtype = 1;
- setDtype(DataType) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Data type of tensor elements
- setDtype(DataType) - Method in class org.tensorflow.framework.TensorProto.Builder
-
.tensorflow.DataType dtype = 1;
- setDtypeValue(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.DataType dtype = 4;
- setDtypeValue(int) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
.tensorflow.DataType dtype = 5;
- setDtypeValue(int) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- setDtypeValue(int) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
.tensorflow.DataType dtype = 3;
- setDtypeValue(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.DataType dtype = 1;
- setDtypeValue(int) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Data type of tensor elements
- setDtypeValue(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
.tensorflow.DataType dtype = 1;
- setElementsThreshold(int) - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
-
This method allows to set desired number of elements per thread, for performance optimization purposes.
- setElementsThreshold(int) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
This method allows to set desired number of elements per thread, for performance optimization purposes.
- setElementsThreshold(int) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method allows to set desired number of elements per thread, for performance optimization purposes.
- setElementWiseStride(IntBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the element wise stride for the
shape info buffer
- setElementWiseStride(DataBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the element wise stride for the
shape info buffer
- setElemType(OnnxMlProto3.TypeProto) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
The type and optional shape of each element of the sequence.
- setElemType(OnnxMlProto3.TypeProto.Builder) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
The type and optional shape of each element of the sequence.
- setElemType(OnnxMlProto3.TensorProto.DataType) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- setElemType(OnnxProto3.TensorProto.DataType) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- setElemTypeValue(int) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- setElemTypeValue(int) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
This field MUST NOT have the value of UNDEFINED
This field MUST be present for this version of the IR.
- setEncodedAudioString(ByteString) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Encoded audio data and its associated RFC 2045 content type (e.g.
- setEncodedImageString(ByteString) - Method in class org.tensorflow.framework.Summary.Image.Builder
-
Image data in encoded format.
- setEnd(long) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
int64 end = 2;
- setEnd(long) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
int64 end = 2;
- setEndpoint(int, ApiDef.Endpoint) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- setEndpoint(int, ApiDef.Endpoint.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
- setEntries(List<LogEntry>) - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
-
- setExampleMetaData(List<? extends Serializable>) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Set the metadata for this DataSet
By convention: the metadata can be any serializable object, one per example in the DataSet
- setExampleMetaData(List<? extends Serializable>) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set the metadata for this MultiDataSet
By convention: the metadata can be any serializable object, one per example in the MultiDataSet
- setExampleMetaData(List<? extends Serializable>) - Method in class org.nd4j.linalg.dataset.DataSet
-
- setExampleMetaData(List<? extends Serializable>) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setExecutionMode(OpExecutioner.ExecutionMode) - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
-
Set the execution mode
- setExecutionMode(OpExecutioner.ExecutionMode) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- setExecutionMode(OpExecutioner.ExecutionMode) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Set the execution mode
- setExecutorName(String) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Executor's name
- setExecutorNameBytes(ByteString) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Executor's name
- setExplanation(String) - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
Explanation of why it was deprecated and what to use instead.
- setExplanationBytes(ByteString) - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
Explanation of why it was deprecated and what to use instead.
- setExtent(int, TensorSliceProto.Extent) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- setExtent(int, TensorSliceProto.Extent.Builder) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
Extent of the slice in all tensor dimensions.
- setExtraArgs(Object[]) - Method in interface org.nd4j.linalg.api.ops.Op
-
- setF(float) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
Exactly ONE of the following fields must be present for this version of the IR
- setF(float) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
Exactly ONE of the following fields must be present for this version of the IR
- setF(float) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"float"
- setF(int, float) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(float)"
- setFactory(NDArrayFactory) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- setFeatures(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Set the features array for the DataSet
- setFeatures(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set all of the features arrays for the MultiDataSet
- setFeatures(int, INDArray) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set a single features array (by index) for the MultiDataSet
- setFeatures(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet
-
- setFeatures(INDArray[]) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setFeatures(int, INDArray) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setFeaturesMaskArray(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Set the features mask array in this DataSet
- setFeaturesMaskArray(int, INDArray) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set a single feature mask array by index
- setFeaturesMaskArray(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet
-
- setFeaturesMaskArray(int, INDArray) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setFeaturesMaskArrays(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set the feature mask arrays
- setFeaturesMaskArrays(INDArray[]) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setFeatureStats(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AttrValue.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GradientDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.KernelDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NodeDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NodeOutput.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpList.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.StepStats.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Image.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.VariableDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.VersionDef.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
-
- setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
- setFinalResult(double) - Method in interface org.nd4j.linalg.api.ops.Accumulation
-
Get the final result (may return null if getAndSetFinalResult has not
been called, or for accumulation ops on complex arrays)
- setFinalResult(Number) - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- setFinalResult(Number) - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- setFinalResult(double) - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- setFinalResult(int) - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation
-
- setFinalResult(int) - Method in interface org.nd4j.linalg.api.ops.IndexAccumulation
-
Set the final index/result of the accumulation.
- setFirstPointers(GridPointers) - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- setFirstPointers(GridPointers) - Method in interface org.nd4j.linalg.api.ops.MetaOp
-
- setFloatData(int, float) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- setFloatData(int, float) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For float and complex64 values
Complex64 tensors are encoded as a single array of floats,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
- setFloats(int, float) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of floats
- setFloats(int, float) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of floats
- setFloatVal(int, float) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_FLOAT.
- setForwardVariableForVarName(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- setFrameName(String) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp
-
- setFrom(String) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
-
string from = 1;
- setFromBytes(ByteString) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
-
string from = 1;
- setFullName(String) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Name of the full variable of which this is a slice.
- setFullNameBytes(ByteString) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Name of the full variable of which this is a slice.
- setFullShape(int, long) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of the full variable.
- setFunc(NameAttrList) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"func" represents a function.
- setFunc(NameAttrList.Builder) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"func" represents a function.
- setFunc(int, NameAttrList) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- setFunc(int, NameAttrList.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(attr)"
- setFunction(int, FunctionDef) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- setFunction(int, FunctionDef.Builder) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.FunctionDef function = 1;
- setFunctionName(String) - Method in class org.tensorflow.framework.GradientDef.Builder
-
The function name.
- setFunctionNameBytes(ByteString) - Method in class org.tensorflow.framework.GradientDef.Builder
-
The function name.
- setG(OnnxMlProto3.GraphProto) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
graph
- setG(OnnxMlProto3.GraphProto.Builder) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
graph
- setG(OnnxProto3.GraphProto) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
graph
- setG(OnnxProto3.GraphProto.Builder) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
graph
- setGradient(int, GradientDef) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- setGradient(int, GradientDef.Builder) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
repeated .tensorflow.GradientDef gradient = 2;
- setGradientForVariableName(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Assign a vertex id
to a gradient
- setGradientFunc(String) - Method in class org.tensorflow.framework.GradientDef.Builder
-
The gradient function's name.
- setGradientFuncBytes(ByteString) - Method in class org.tensorflow.framework.GradientDef.Builder
-
The gradient function's name.
- setGradientViewArray(INDArray) - Method in class org.nd4j.linalg.activations.BaseActivationFunction
-
- setGradientViewArray(INDArray) - Method in interface org.nd4j.linalg.activations.IActivation
-
- setGraph(OnnxMlProto3.GraphProto) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- setGraph(OnnxMlProto3.GraphProto.Builder) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- setGraph(OnnxProto3.GraphProto) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- setGraph(OnnxProto3.GraphProto.Builder) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The parameterized graph that is evaluated to execute the model.
- setGraphInputNodeInfo(int, GraphTransferInfo.GraphInputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- setGraphInputNodeInfo(int, GraphTransferInfo.GraphInputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
Input Node parameters of transferred graph
- setGraphInputNodeName(int, String) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph input node name
- setGraphOpName(String) - Method in class org.tensorflow.framework.ApiDef.Builder
-
Name of the op (in the OpDef) to specify the API for.
- setGraphOpNameBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder
-
Name of the op (in the OpDef) to specify the API for.
- setGraphOutputNodeInfo(int, GraphTransferInfo.GraphOutputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- setGraphOutputNodeInfo(int, GraphTransferInfo.GraphOutputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
- setGraphOutputNodeName(int, String) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Remote fused graph output node name
- setGraphs(int, OnnxMlProto3.GraphProto) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- setGraphs(int, OnnxMlProto3.GraphProto.Builder) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of graph
- setGraphs(int, OnnxProto3.GraphProto) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- setGraphs(int, OnnxProto3.GraphProto.Builder) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of graph
- setHalfVal(int, int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_HALF.
- setHandle(String) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
Handle describing the feeds and fetches of the step.
- setHandleBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
Handle describing the feeds and fetches of the step.
- setHashCode(long) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Hash code for the type of the resource.
- setHasMinimum(boolean) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
For type == "int", this is a minimum value.
- setHasSingleReference(boolean) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Set if this tensor only has one remaining reference
- setHeight(int) - Method in class org.tensorflow.framework.Summary.Image.Builder
-
Dimensions of the image.
- setHide(boolean) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Hide this op by putting it into an internal namespace (or whatever
is appropriate in the target language).
- setHisto(HistogramProto) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.HistogramProto histo = 5;
- setHisto(HistogramProto.Builder) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.HistogramProto histo = 5;
- setHostMemoryArg(int, String) - Method in class org.tensorflow.framework.KernelDef.Builder
-
Names of the Op's input_/output_args that reside in host memory
instead of device memory.
- setHostPersistentMemorySize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
int64 host_persistent_memory_size = 12;
- setHostPersistentMemorySize(long) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
int64 host_persistent_memory_size = 3;
- setHostPersistentTensorAllocIds(int, long) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
repeated int64 host_persistent_tensor_alloc_ids = 5;
- setHostTempMemorySize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
int64 host_temp_memory_size = 10;
- setHostTempMemorySize(long) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
int64 host_temp_memory_size = 1;
- setI(long) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
int
- setI(long) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
int
- setI(long) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"int"
- setI(int, long) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(int)"
- setId(String) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- setId(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The id of the node.
- setIfFirst(Throwable) - Method in class org.nd4j.linalg.util.AtomicThrowable
-
This method updates state only if it wasn't set before
- setImage(Summary.Image) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Image image = 4;
- setImage(Summary.Image.Builder) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.Summary.Image image = 4;
- setInArg(int, ApiDef.Arg) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- setInArg(int, ApiDef.Arg.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg in_arg = 4;
- setIncarnation(long) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
A device is assigned a global unique number each time it is
initialized.
- setIndex(int) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Index of the output being set.
- setIndexer(Indexer) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
- setInitializer(int, OnnxMlProto3.TensorProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- setInitializer(int, OnnxMlProto3.TensorProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- setInitializer(int, OnnxProto3.TensorProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- setInitializer(int, OnnxProto3.TensorProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
A list of named tensor values (constants), used to specify default
values for some of the inputs of the graph.
- setInitializerName(String) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the initializer op.
- setInitializerNameBytes(ByteString) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the initializer op.
- setInitialValueName(String) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the tensor holding the variable's initial value.
- setInitialValueNameBytes(ByteString) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the tensor holding the variable's initial value.
- setInput(int, OnnxMlProto3.ValueInfoProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- setInput(int, OnnxMlProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- setInput(int, String) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- setInput(int, OnnxProto3.ValueInfoProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- setInput(int, OnnxProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The inputs and outputs of the graph.
- setInput(int, String) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- setInput(int, String) - Method in class org.tensorflow.framework.NodeDef.Builder
-
Each input is "node:src_output" with "node" being a string name and
"src_output" indicating which output tensor to use from "node".
- setInputArg(int, OpDef.ArgDef) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- setInputArg(int, OpDef.ArgDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the input(s).
- setInputArgument(int, INDArray) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- setInputCount(int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
int32 input_count = 6;
- setInputInfo(int, CostGraphDef.Node.InputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- setInputInfo(int, CostGraphDef.Node.InputInfo.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
- setInputRename(int, OpGenOverridesOuterClass.OpGenOverride.Rename) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- setInputRename(int, OpGenOverridesOuterClass.OpGenOverride.Rename.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
- setInstanceId() - Method in class org.nd4j.autodiff.functions.DifferentialFunction
-
- setInt32Data(int, int) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- setInt32Data(int, int) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int32, uint8, int8, uint16, int16, bool, and float16 values
float16 values must be bit-wise converted to an uint16_t prior
to writing to the buffer.
- setInt64Data(int, long) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For int64.
- setInt64Data(int, long) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For int64.
- setInt64Val(int, long) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT64
- setInterval(boolean) - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
-
- setInterval(boolean) - Method in class org.nd4j.linalg.indexing.IntervalIndex
-
- setInterval(boolean) - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- setInterval(boolean) - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
-
- setInterval(boolean) - Method in class org.nd4j.linalg.indexing.NewAxis
-
- setInterval(boolean) - Method in class org.nd4j.linalg.indexing.PointIndex
-
- setInterval(boolean) - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- setInts(int, long) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of ints
- setInts(int, long) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of ints
- setIntVal(int, int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
- setIrBuildMetadata(String) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The build metadata component of the SemVer of the IR.
- setIrBuildMetadataBytes(ByteString) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The build metadata component of the SemVer of the IR.
- setIrVersion(long) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the IR this model targets.
- setIrVersion(int) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
All OperatorSetProtos indicate the version of the IR syntax and semantics
they adhere to.
- setIrVersion(long) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the IR this model targets.
- setIrVersionPrerelease(String) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The prerelease component of the SemVer of the IR.
- setIrVersionPrereleaseBytes(ByteString) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The prerelease component of the SemVer of the IR.
- setIsAggregate(boolean) - Method in class org.tensorflow.framework.OpDef.Builder
-
If is_aggregate is true, then this operation accepts N >= 2
inputs and produces 1 output all of the same type.
- setIsCommutative(boolean) - Method in class org.tensorflow.framework.OpDef.Builder
-
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
- setIsFinal(boolean) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
If true, the output is permanent: it can't be discarded, because this
node is part of the "final output".
- setIsRef(boolean) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
For inputs: if true, the inputs are required to be refs.
- setIsResource(boolean) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Whether to represent this as a ResourceVariable.
- setIsStateful(boolean) - Method in class org.tensorflow.framework.OpDef.Builder
-
By default Ops may be moved between devices.
- setKernelName(String) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- setKernelName(String) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- setKernelNameBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Name of the kernel making the allocation as set in GraphDef,
e.g., "affine2/weights/Assign".
- setKernelNameBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Name of the kernel producing an output as set in GraphDef, e.g.,
"affine2/weights/Assign".
- setKey(String) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
string key = 1;
- setKey(String) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
string key = 1;
- setKeyBytes(ByteString) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
string key = 1;
- setKeyBytes(ByteString) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
string key = 1;
- setKeys(int, String) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
Keys for tensors in the VariantTensorDataProto.
- setKeyType(OnnxMlProto3.TensorProto.DataType) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- setKeyTypeValue(int) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- setLabel(String) - Method in class org.tensorflow.framework.KernelDef.Builder
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- setLabelBytes(ByteString) - Method in class org.tensorflow.framework.KernelDef.Builder
-
This allows experimental kernels to be registered for an op that
won't be used unless the user specifies a "_kernel" attr with
value matching this.
- setLabelNames(List<String>) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- setLabelNames(List<String>) - Method in class org.nd4j.linalg.dataset.DataSet
-
Sets the label names, will throw an exception if the passed
in label names doesn't equal the number of outcomes
- setLabels(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- setLabels(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set all of the labels arrays for the MultiDataSet
- setLabels(int, INDArray) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set a single labels array (by index) for the MultiDataSet
- setLabels(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet
-
- setLabels(INDArray[]) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setLabels(int, INDArray) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setLabelsMaskArray(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Set the labels mask array in this data set
- setLabelsMaskArray(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set the labels mask arrays
- setLabelsMaskArray(int, INDArray) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set a single labels mask array by index
- setLabelsMaskArray(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet
-
- setLabelsMaskArray(INDArray[]) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setLabelsMaskArray(int, INDArray) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setLabelStats(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- setLabelStats(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- setLength(long) - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- setLength(long) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- setLength(long) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
int64 length = 2;
- setLengthFrames(long) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Length of the audio in frames (samples per channel).
- setLibrary(FunctionDefLibrary) - Method in class org.tensorflow.framework.GraphDef.Builder
-
EXPERIMENTAL.
- setLibrary(FunctionDefLibrary.Builder) - Method in class org.tensorflow.framework.GraphDef.Builder
-
EXPERIMENTAL.
- setList(AttrValue.ListValue) - Method in class org.tensorflow.framework.AttrValue.Builder
-
any "list(...)"
- setList(AttrValue.ListValue.Builder) - Method in class org.tensorflow.framework.AttrValue.Builder
-
any "list(...)"
- setLiveBytes(long) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
The bytes that are not deallocated.
- setLocality(DeviceLocality) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- setLocality(DeviceLocality.Builder) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Platform-specific data about device that may be useful
for supporting efficient data transfers.
- setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.AdaDelta
-
- setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.AdaGrad
-
- setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.Adam
-
- setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.AdaMax
-
- setLrAndSchedule(double, ISchedule) - Method in interface org.nd4j.linalg.learning.config.IUpdater
-
Set the learning rate and schedule.
- setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.Nadam
-
- setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.Nesterovs
-
- setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.NoOp
-
- setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.RmsProp
-
- setLrAndSchedule(double, ISchedule) - Method in class org.nd4j.linalg.learning.config.Sgd
-
- setMagic(String) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
All OperatorSetProtos start with a distingushed byte sequence to disambiguate
protobuf files containing OperatorSets from other content.
- setMagicBytes(ByteString) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
All OperatorSetProtos start with a distingushed byte sequence to disambiguate
protobuf files containing OperatorSets from other content.
- setMapType(OnnxMlProto3.TypeProto.Map) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a map.
- setMapType(OnnxMlProto3.TypeProto.Map.Builder) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a map.
- setMaskedValuesToZero(INDArray, INDArray) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
-
- setMax(double) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double max = 2;
- setMaxByteSize(int, int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
-
repeated int32 max_byte_size = 2;
- setMaxThreads(int) - Method in interface org.nd4j.linalg.api.blas.Blas
-
- setMaybeTypeName(String) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
For debug-only, the name of the type pointed to by this handle, if
available.
- setMaybeTypeNameBytes(ByteString) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
For debug-only, the name of the type pointed to by this handle, if
available.
- setMemory(int, AllocatorMemoryUsed) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- setMemory(int, AllocatorMemoryUsed.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
- setMemoryLimit(long) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Memory capacity of device in bytes.
- setMemoryStats(MemoryStats) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
.tensorflow.MemoryStats memory_stats = 12;
- setMemoryStats(MemoryStats.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
.tensorflow.MemoryStats memory_stats = 12;
- setMemoryTime(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Analytical estimate of the memory access cost of this node, in
microseconds.
- setMetadata(SummaryMetadata) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Contains metadata on the summary value such as which plugins may use it.
- setMetadata(SummaryMetadata.Builder) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Contains metadata on the summary value such as which plugins may use it.
- setMetadata(ByteString) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Portions of the object that are not Tensors.
- setMetadataProps(int, OnnxMlProto3.StringStringEntryProto) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- setMetadataProps(int, OnnxMlProto3.StringStringEntryProto.Builder) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- setMetadataProps(int, OnnxProto3.StringStringEntryProto) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- setMetadataProps(int, OnnxProto3.StringStringEntryProto.Builder) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
Named metadata values; keys should be distinct.
- setMin(double) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double min = 1;
- setMinConsumer(int) - Method in class org.tensorflow.framework.VersionDef.Builder
-
Any consumer below this version is not allowed to consume this data.
- setMinimum(long) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
int64 minimum = 6;
- setModelVersion(long) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the graph encoded.
- setModelVersion(long) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the graph encoded.
- setN(long) - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- setN(long) - Method in interface org.nd4j.linalg.api.ops.Op
-
Change n
- setName(String) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
The name field MUST be present for this version of the IR.
- setName(String) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The name of the graph.
- setName(String) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
An optional identifier for this node in a graph.
- setName(String) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
Optionally, a name for the tensor.
- setName(String) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- setName(String) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
The name field MUST be present for this version of the IR.
- setName(String) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The name of the graph.
- setName(String) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
An optional identifier for this node in a graph.
- setName(String) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
Optionally, a name for the tensor.
- setName(String) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- setName(String) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
string name = 1;
- setName(String) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
string name = 1;
- setName(String) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- setName(String) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The name of the node.
- setName(String) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Fully specified name of the device within a cluster.
- setName(String) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
string name = 1;
- setName(String) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
string name = 1;
- setName(String) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
string name = 1;
- setName(String) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
string name = 1;
- setName(String) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
Name of an attr from the Op.
- setName(String) - Method in class org.tensorflow.framework.NameAttrList.Builder
-
string name = 1;
- setName(String) - Method in class org.tensorflow.framework.NodeDef.Builder
-
The name given to this operator.
- setName(String) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Name for the input/output.
- setName(String) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A descriptive name for the argument.
- setName(String) - Method in class org.tensorflow.framework.OpDef.Builder
-
Op names starting with an underscore are reserved for internal use.
- setName(String) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name of this resource.
- setName(String) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
Optional name of the tensor dimension.
- setName(String) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
string name = 1;
- setName(String) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Name of the op to apply overrides to.
- setNameBytes(ByteString) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
The name field MUST be present for this version of the IR.
- setNameBytes(ByteString) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The name of the graph.
- setNameBytes(ByteString) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
An optional identifier for this node in a graph.
- setNameBytes(ByteString) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
Optionally, a name for the tensor.
- setNameBytes(ByteString) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- setNameBytes(ByteString) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
The name field MUST be present for this version of the IR.
- setNameBytes(ByteString) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The name of the graph.
- setNameBytes(ByteString) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
An optional identifier for this node in a graph.
- setNameBytes(ByteString) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
Optionally, a name for the tensor.
- setNameBytes(ByteString) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
string name = 1;
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
string name = 1;
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
Name should be either like "CamelCaseName" or
"Package.CamelCaseName".
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
The name of the node.
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
Fully specified name of the device within a cluster.
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
string name = 1;
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
string name = 1;
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
string name = 1;
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
string name = 1;
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
Name of an attr from the Op.
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.NameAttrList.Builder
-
string name = 1;
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.NodeDef.Builder
-
The name given to this operator.
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Name for the input/output.
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
A descriptive name for the argument.
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.Builder
-
Op names starting with an underscore are reserved for internal use.
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
Unique name of this resource.
- setNameBytes(ByteString) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
Optional name of the tensor dimension.
- setNameBytes(ByteString) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
string name = 1;
- setNameBytes(ByteString) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Name of the op to apply overrides to.
- setNdArrayFactoryClazz(Class<? extends NDArrayFactory>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- setNdArrayType(String) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- setNewNumberOfLabels(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- setNewNumberOfLabels(int) - Method in class org.nd4j.linalg.dataset.DataSet
-
Clears the outcome matrix setting a new number of labels
- setNode(int, OnnxMlProto3.NodeProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- setNode(int, OnnxMlProto3.NodeProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
The nodes in the graph.
- setNode(int, OnnxProto3.NodeProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- setNode(int, OnnxProto3.NodeProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
The nodes in the graph.
- setNode(int, CostGraphDef.Node) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- setNode(int, CostGraphDef.Node.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
repeated .tensorflow.CostGraphDef.Node node = 1;
- setNode(int, NodeDef) - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- setNode(int, NodeDef.Builder) - Method in class org.tensorflow.framework.GraphDef.Builder
-
repeated .tensorflow.NodeDef node = 1;
- setNodeDef(int, NodeDef) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- setNodeDef(int, NodeDef.Builder) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
By convention, "op" in node_def is resolved by consulting with a
user-defined library first.
- setNodeId(int) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
int32 node_id = 2;
- setNodeId(int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
int32 node_id = 2;
- setNodeId(int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
-
int32 node_id = 1;
- setNodeId(int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
int32 node_id = 1;
- setNodeId(int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
-
int32 node_id = 1;
- setNodeInfo(int, GraphTransferInfo.NodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- setNodeInfo(int, GraphTransferInfo.NodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
- setNodeInput(int, GraphTransferInfo.NodeInput) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- setNodeInput(int, GraphTransferInfo.NodeInput.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
- setNodeInputInfo(int, GraphTransferInfo.NodeInputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- setNodeInputInfo(int, GraphTransferInfo.NodeInputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
- setNodeName(String) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- setNodeName(String) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
This field is deprecated and will not be set.
- setNodeNameBytes(ByteString) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
TODO(tucker): Use some more compact form of node identity than
the full string name.
- setNodeNameBytes(ByteString) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
This field is deprecated and will not be set.
- setNodeOutputInfo(int, GraphTransferInfo.NodeOutputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- setNodeOutputInfo(int, GraphTransferInfo.NodeOutputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
- setNodeStats(int, NodeExecStats) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- setNodeStats(int, NodeExecStats.Builder) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
repeated .tensorflow.NodeExecStats node_stats = 2;
- setNum(double) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double num = 3;
- setNumberAttr(String) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "int"
- setNumberAttrBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "int"
- setNumBytes(long) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Number of bytes in the allocation.
- setNumChannels(long) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Number of channels of audio.
- setNumRecordsProduced(long) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
int64 num_records_produced = 3;
- setObsoleteOldStyleHistogram(ByteString) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
bytes obsolete_old_style_histogram = 3;
- setOccasionalGcFrequency(int) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- setOccasionalGcFrequency(int) - Method in interface org.nd4j.linalg.memory.MemoryManager
-
Sets manual GC invocation frequency.
- setOp(int, ApiDef) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- setOp(int, ApiDef.Builder) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
repeated .tensorflow.ApiDef op = 1;
- setOp(String) - Method in class org.tensorflow.framework.KernelDef.Builder
-
Must match the name of an Op.
- setOp(String) - Method in class org.tensorflow.framework.NodeDef.Builder
-
The operation name.
- setOp(int, OpDef) - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- setOp(int, OpDef.Builder) - Method in class org.tensorflow.framework.OpList.Builder
-
repeated .tensorflow.OpDef op = 1;
- setOp(int, OpGenOverridesOuterClass.OpGenOverride) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
repeated .tensorflow.OpGenOverride op = 1;
- setOp(int, OpGenOverridesOuterClass.OpGenOverride.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
repeated .tensorflow.OpGenOverride op = 1;
- setOpBytes(ByteString) - Method in class org.tensorflow.framework.KernelDef.Builder
-
Must match the name of an Op.
- setOpBytes(ByteString) - Method in class org.tensorflow.framework.NodeDef.Builder
-
The operation name.
- setOpEndRelMicros(long) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 op_end_rel_micros = 4;
- setOperation(String) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the operation making the allocation.
- setOperation(String) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the operation making the deallocation.
- setOperationBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Name of the operation making the allocation.
- setOperationBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Name of the operation making the deallocation.
- setOperator(int, OnnxOperatorsProto3.OperatorProto) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- setOperator(int, OnnxOperatorsProto3.OperatorProto.Builder) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The operators specified by this operator set.
- setOpsetImport(int, OnnxMlProto3.OperatorSetIdProto) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- setOpsetImport(int, OnnxMlProto3.OperatorSetIdProto.Builder) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- setOpsetImport(int, OnnxProto3.OperatorSetIdProto) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- setOpsetImport(int, OnnxProto3.OperatorSetIdProto.Builder) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The OperatorSets this model relies on.
- setOpsetVersion(long) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
The version of the set of operators.
- setOpStartRelMicros(long) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 op_start_rel_micros = 3;
- setOpType(String) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
The symbolic identifier of the Operator to execute.
- setOpType(String) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
The name of the operator within a domain.
- setOpType(String) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
The symbolic identifier of the Operator to execute.
- setOpTypeBytes(ByteString) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
The symbolic identifier of the Operator to execute.
- setOpTypeBytes(ByteString) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
The name of the operator within a domain.
- setOpTypeBytes(ByteString) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
The symbolic identifier of the Operator to execute.
- setOrder(char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- setOrder(char) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- setOrder(char) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Set the ordering
- setOrder(IntBuffer, char) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Deprecated.
- setOrder(char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Sets the order.
- setOrder(char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Sets the order.
- setOriginalPlaceHolderShape(String, int[]) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Set the original shape for a given place holder.
- setOutArg(int, ApiDef.Arg) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- setOutArg(int, ApiDef.Arg.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
-
repeated .tensorflow.ApiDef.Arg out_arg = 5;
- setOutcome(int, int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- setOutcome(int, int) - Method in class org.nd4j.linalg.dataset.DataSet
-
Sets the outcome of a particular example
- setOutput(int, OnnxMlProto3.ValueInfoProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- setOutput(int, OnnxMlProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- setOutput(int, String) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
namespace Value
- setOutput(int, OnnxProto3.ValueInfoProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- setOutput(int, OnnxProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
repeated .onnx.ValueInfoProto output = 12;
- setOutput(int, String) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
namespace Value
- setOutput(int, NodeOutput) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- setOutput(int, NodeOutput.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.NodeOutput output = 7;
- setOutputArg(int, OpDef.ArgDef) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- setOutputArg(int, OpDef.ArgDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
-
Description of the output(s).
- setOutputArgument(int, INDArray) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
-
- setOutputCount(int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
int32 output_count = 7;
- setOutputInfo(int, CostGraphDef.Node.OutputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- setOutputInfo(int, CostGraphDef.Node.OutputInfo.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
- setOutputPort(int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
-
int32 output_port = 2;
- setOutputRename(int, OpGenOverridesOuterClass.OpGenOverride.Rename) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- setOutputRename(int, OpGenOverridesOuterClass.OpGenOverride.Rename.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
- setPaddingId(int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
int32 padding_id = 5;
- setParametersViewArray(INDArray, boolean) - Method in class org.nd4j.linalg.activations.BaseActivationFunction
-
- setParametersViewArray(INDArray, boolean) - Method in interface org.nd4j.linalg.activations.IActivation
-
- setParams(INDArray, Collection<INDArray>...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Given a sequence of Iterators over a transform of matrices, fill in all of
the matrices with the entries in the theta vector.
- setParams(INDArray, Iterator<? extends INDArray>...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Given a sequence of Iterators over a transform of matrices, fill in all of
the matrices with the entries in the theta vector.
- setPeakBytes(long) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
int64 peak_bytes = 3;
- setPhysicalDeviceDesc(String) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of the physical device that this device maps to.
- setPhysicalDeviceDescBytes(ByteString) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
String representation of the physical device that this device maps to.
- setPlaceholder(String) - Method in class org.tensorflow.framework.AttrValue.Builder
-
This is a placeholder only used in nodes defined inside a
function.
- setPlaceholderBytes(ByteString) - Method in class org.tensorflow.framework.AttrValue.Builder
-
This is a placeholder only used in nodes defined inside a
function.
- setPluginData(SummaryMetadata.PluginData) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Data that associates a summary with a certain plugin.
- setPluginData(SummaryMetadata.PluginData.Builder) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Data that associates a summary with a certain plugin.
- setPluginName(String) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
The name of the plugin this data pertains to.
- setPluginNameBytes(ByteString) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
The name of the plugin this data pertains to.
- setPrecedingNode(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
int32 preceding_node = 1;
- setPrecedingPort(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
int32 preceding_port = 2;
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
Set a pre processor
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- setPreProcessor(DataSetPreProcessor) - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
Set a pre processor
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
- setPreProcessor(MultiDataSetPreProcessor) - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator
-
Set the preprocessor to be applied to each MultiDataSet, before each MultiDataSet is returned.
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
Set a pre processor
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
Set a pre processor
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- setPreProcessor(MultiDataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator
-
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- setProducer(int) - Method in class org.tensorflow.framework.VersionDef.Builder
-
The version of the code that produced this data.
- setProducerName(String) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The name of the framework or tool used to generate this model.
- setProducerName(String) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The name of the framework or tool used to generate this model.
- setProducerNameBytes(ByteString) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The name of the framework or tool used to generate this model.
- setProducerNameBytes(ByteString) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The name of the framework or tool used to generate this model.
- setProducerVersion(String) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the framework or tool used to generate this model.
- setProducerVersion(String) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the framework or tool used to generate this model.
- setProducerVersionBytes(ByteString) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
The version of the framework or tool used to generate this model.
- setProducerVersionBytes(ByteString) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
The version of the framework or tool used to generate this model.
- setProfilingMode(OpExecutioner.ProfilingMode) - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
-
This method specifies desired profiling mode
- setProfilingMode(OpExecutioner.ProfilingMode) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- setProfilingMode(OpExecutioner.ProfilingMode) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method specifies desired profiling mode
- setPtr(long) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Address of the allocation.
- setPtr(long) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Address of the allocation.
- SetRange - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Set range to a particular set of values
- SetRange(SameDiff, SDVariable, boolean, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SetRange
-
- SetRange(SameDiff, SDVariable, int[], boolean, Object[], double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SetRange
-
- SetRange(SameDiff, SDVariable, Object[], double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SetRange
-
- SetRange() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SetRange
-
- SetRange(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SetRange
-
- SetRange(INDArray, INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SetRange
-
- SetRange(INDArray, INDArray, long, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SetRange
-
- SetRange(INDArray, INDArray, INDArray, long, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SetRange
-
- SetRange(INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SetRange
-
- setRawData(ByteString) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
Serializations can either use one of the fields above, or use this
raw bytes field.
- setRawData(ByteString) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
Serializations can either use one of the fields above, or use this
raw bytes field.
- setReferencedTensor(int, AllocationDescription) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- setReferencedTensor(int, AllocationDescription.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
- setReferences(Collection<String>) - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- setReferences(Collection<String>) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- setRemoteGraph(GraphDef) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Definition of remote graph
- setRemoteGraph(GraphDef.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Definition of remote graph
- setRenameTo(String) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- setRenameTo(String) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- setRenameTo(String) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Use a different name in the API than the op's name.
- setRenameToBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
Change the name used to access this arg in the API from what
is used in the GraphDef.
- setRenameToBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
Change the name used to access this attr in the API from what
is used in the GraphDef.
- setRenameToBytes(ByteString) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Use a different name in the API than the op's name.
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ApiDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.AttrValue.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GradientDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.KernelDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.NodeDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.NodeOutput.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.OpDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.OpList.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.StepStats.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.Summary.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.Summary.Image.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.VariableDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.framework.VersionDef.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
-
- setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
- setRequestedBytes(long) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
Total number of bytes requested
- setResourceHandleVal(int, ResourceHandleProto) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- setResourceHandleVal(int, ResourceHandleProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_RESOURCE
- setRewindPosition(String, int) - Method in class org.nd4j.autodiff.samediff.flow.FlowPath
-
This method allows to set position for next rewind within graph
- setRewindPositionOnce(String, int) - Method in class org.nd4j.autodiff.samediff.flow.FlowPath
-
This method allows to set position for next rewind within graph.
- setRootDir(File) - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- setS(ByteString) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
UTF-8 string
- setS(ByteString) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
UTF-8 string
- setS(ByteString) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"string"
- setS(int, ByteString) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(string)"
- setSampleRate(float) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
Sample rate of the audio in Hz.
- setSaveSliceInfoDef(SaveSliceInfoDef) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Support for saving variables as slices of a larger variable.
- setSaveSliceInfoDef(SaveSliceInfoDef.Builder) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Support for saving variables as slices of a larger variable.
- setScalar(Number) - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
-
- setScalar(Number) - Method in interface org.nd4j.linalg.api.ops.ScalarOp
-
- setScheduledMicros(long) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
int64 scheduled_micros = 9;
- setScomplexVal(int, float) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_COMPLEX64.
- setSecondPointers(GridPointers) - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- setSecondPointers(GridPointers) - Method in interface org.nd4j.linalg.api.ops.MetaOp
-
- setSeed(int) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- setSeed(int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- setSeed(long) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- setSeed(int) - Method in interface org.nd4j.linalg.api.rng.Random
-
Sets the seed of the underlying random number generator using an
int seed.
- setSeed(int[]) - Method in interface org.nd4j.linalg.api.rng.Random
-
Sets the seed of the underlying random number generator using an
int seed.
- setSeed(long) - Method in interface org.nd4j.linalg.api.rng.Random
-
Sets the seed of the underlying random number generator using a
long seed.
- setSegment(OnnxMlProto3.TensorProto.Segment) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- setSegment(OnnxMlProto3.TensorProto.Segment.Builder) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- setSegment(OnnxProto3.TensorProto.Segment) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- setSegment(OnnxProto3.TensorProto.Segment.Builder) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
.onnx.TensorProto.Segment segment = 3;
- setSequenceType(OnnxMlProto3.TypeProto.Sequence) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a sequence.
- setSequenceType(OnnxMlProto3.TypeProto.Sequence.Builder) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a sequence.
- setSerializedExecutorParameters(ByteString) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
Optional: Parameters given to the executor
- setShape(OnnxMlProto3.TensorShapeProto) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- setShape(OnnxMlProto3.TensorShapeProto.Builder) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- setShape(OnnxProto3.TensorShapeProto) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- setShape(OnnxProto3.TensorShapeProto.Builder) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
.onnx.TensorShapeProto shape = 2;
- setShape(int[]) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- setShape(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- setShape(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- setShape(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Deprecated.
- setShape(TensorShapeProto) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"shape"
- setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"shape"
- setShape(int, TensorShapeProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- setShape(int, TensorShapeProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(shape)"
- setShape(TensorShapeProto) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.TensorShapeProto shape = 3;
- setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
.tensorflow.TensorShapeProto shape = 3;
- setShape(int, long) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
repeated int64 shape = 3;
- setShape(int, long) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
repeated int64 shape = 2;
- setShape(int, long) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
repeated int64 shape = 2;
- setShape(TensorShapeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
.tensorflow.TensorShapeProto shape = 2;
- setShape(TensorShapeProto) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Shape of the tensor.
- setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
Shape of the tensor.
- setShapeAndStride(int[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- setShapeAndStride(int[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- setShapeAndStride(int[], int[]) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Shape and stride setter
- setShapeInformation(Pair<DataBuffer, int[]>) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- setSignature(OpDef) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
The definition of the function's name, arguments, return values,
attrs etc.
- setSignature(OpDef.Builder) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
The definition of the function's name, arguments, return values,
attrs etc.
- setSimpleValue(float) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
float simple_value = 2;
- setSinceVersion(long) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
The version of the operator set that first introduced this
operator.
- setSize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
int64 size = 1;
- setSize(long) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
Size of the tensor in that dimension.
- setSkip(boolean) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
Do not include this op in the generated API.
- setSlot(int) - Method in class org.tensorflow.framework.NodeOutput.Builder
-
int32 slot = 1;
- setSnapshotName(String) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the snapshot tensor.
- setSnapshotNameBytes(ByteString) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the snapshot tensor.
- setSocOpId(int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
int32 soc_op_id = 4;
- setSparseFactory(NDArrayFactory) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- setSparseNDArrayClazz(Class<? extends NDArrayFactory>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- setStackTraceElements(StackTraceElement[]) - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- setStackTraceElements(StackTraceElement[]) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- setStart(long) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
Start index of the slice, starting at 0.
- setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.AdaDeltaUpdater
-
- setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.AdaGradUpdater
-
- setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.AdaMaxUpdater
-
- setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.AdamUpdater
-
- setStateViewArray(INDArray, int[], char, boolean) - Method in interface org.nd4j.linalg.learning.GradientUpdater
-
For the internal updater state (if any): set this to use the provided array.
- setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.NadamUpdater
-
- setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.NesterovsUpdater
-
- setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.NoOpUpdater
-
- setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.RmsPropUpdater
-
- setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.SgdUpdater
-
- setStatus(OnnxOperatorsProto3.OperatorProto.OperatorStatus) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
This field indicates whether the syntax, semantics, or presence
of this operator is in an experimental or stable stage.
- setStatus(String) - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- setStatusValue(int) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
This field indicates whether the syntax, semantics, or presence
of this operator is in an experimental or stable stage.
- setStepId(long) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
Process-unique step id.
- setStepId(long) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
Process-unique step id.
- setStepId(long) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
Process-unique step id.
- setStepId(long) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Process-unique step id.
- setStepId(long) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Process-unique step id.
- setStride(int[]) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- setStride(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- setStride(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- setStride(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Deprecated.
- setStringData(int, ByteString) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For strings.
- setStringData(int, ByteString) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For strings.
- setStrings(int, ByteString) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of UTF-8 strings
- setStrings(int, ByteString) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of UTF-8 strings
- setStringVal(int, ByteString) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_STRING
- setSum(double) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double sum = 4;
- setSummary(String) - Method in class org.tensorflow.framework.ApiDef.Builder
-
One-line human-readable description of what the Op does.
- setSummary(String) - Method in class org.tensorflow.framework.OpDef.Builder
-
One-line human-readable description of what the Op does.
- setSummaryBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder
-
One-line human-readable description of what the Op does.
- setSummaryBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.Builder
-
One-line human-readable description of what the Op does.
- setSummaryDescription(String) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Longform readable description of the summary sequence.
- setSummaryDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
Longform readable description of the summary sequence.
- setSumSquares(double) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
double sum_squares = 5;
- setT(OnnxMlProto3.TensorProto) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
tensor value
- setT(OnnxMlProto3.TensorProto.Builder) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
tensor value
- setT(OnnxProto3.TensorProto) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
tensor value
- setT(OnnxProto3.TensorProto.Builder) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
tensor value
- setTadThreshold(int) - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
-
This method allows to set desired number of sub-arrays per thread, for performance optimization purposes.
- setTadThreshold(int) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
This method allows to set desired number of sub-arrays per thread, for performance optimization purposes.
- setTadThreshold(int) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method allows to set desired number of sub-arrays per thread, for performance optimization purposes.
- setTag(String) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Tag name for the data.
- setTagBytes(ByteString) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
Tag name for the data.
- setTemporaryMemorySize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
Temporary memory used by this node.
- setTensor(TensorProto) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"tensor"
- setTensor(TensorProto.Builder) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"tensor"
- setTensor(int, TensorProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- setTensor(int, TensorProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(tensor)"
- setTensor(TensorDescription) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Allocated tensor details.
- setTensor(TensorDescription.Builder) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
Allocated tensor details.
- setTensor(TensorDescription) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Output tensor details.
- setTensor(TensorDescription.Builder) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
Output tensor details.
- setTensor(TensorProto) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.TensorProto tensor = 8;
- setTensor(TensorProto.Builder) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
.tensorflow.TensorProto tensor = 8;
- setTensorContent(ByteString) - Method in class org.tensorflow.framework.TensorProto.Builder
-
Serialized raw tensor content from either Tensor::AsProtoTensorContent or
memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
- setTensorDescription(TensorDescription) - Method in class org.tensorflow.framework.NodeOutput.Builder
-
.tensorflow.TensorDescription tensor_description = 3;
- setTensorDescription(TensorDescription.Builder) - Method in class org.tensorflow.framework.NodeOutput.Builder
-
.tensorflow.TensorDescription tensor_description = 3;
- setTensors(int, OnnxMlProto3.TensorProto) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- setTensors(int, OnnxMlProto3.TensorProto.Builder) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
list of tensors
- setTensors(int, OnnxProto3.TensorProto) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- setTensors(int, OnnxProto3.TensorProto.Builder) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
list of tensors
- setTensors(int, TensorProto) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- setTensors(int, TensorProto.Builder) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Tensors contained within objects being serialized.
- setTensorShape(TensorShapeProto) - Method in class org.tensorflow.framework.TensorProto.Builder
-
Shape of the tensor.
- setTensorShape(TensorShapeProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder
-
Shape of the tensor.
- setTensorType(OnnxMlProto3.TypeProto.Tensor) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a tensor.
- setTensorType(OnnxMlProto3.TypeProto.Tensor.Builder) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
The type of a tensor.
- setTensorType(OnnxProto3.TypeProto.Tensor) - Method in class onnx.OnnxProto3.TypeProto.Builder
-
The type of a tensor.
- setTensorType(OnnxProto3.TypeProto.Tensor.Builder) - Method in class onnx.OnnxProto3.TypeProto.Builder
-
The type of a tensor.
- setTest(DataSet) - Method in class org.nd4j.linalg.dataset.SplitTestAndTrain
-
- setThreadId(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
uint32 thread_id = 10;
- setTimelineLabel(String) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
string timeline_label = 8;
- setTimelineLabelBytes(ByteString) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
string timeline_label = 8;
- setTimestamp(long) - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- setTo(String) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
-
string to = 2;
- setToBytes(ByteString) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
-
string to = 2;
- setTotalBytes(long) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
These are per-node allocator memory stats.
- setTrain(DataSet) - Method in class org.nd4j.linalg.dataset.SplitTestAndTrain
-
- setType(OnnxMlProto3.AttributeProto.AttributeType) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
The type field MUST be present for this version of the IR.
- setType(OnnxMlProto3.TypeProto) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- setType(OnnxMlProto3.TypeProto.Builder) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- setType(OnnxProto3.AttributeProto.AttributeType) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
The type field MUST be present for this version of the IR.
- setType(OnnxProto3.TypeProto) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- setType(OnnxProto3.TypeProto.Builder) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
This field MUST be present in this version of the IR.
- setType(DataType) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"type"
- setType(int, DataType) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
- setType(DataType) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- setType(String) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- setTypeAttr(String) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "type"
- setTypeAttrBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
if specified, attr must have type "type"
- setTypeBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
One of the type names from attr_value.proto ("string", "list(string)",
"int", etc.).
- setTypeHint(String) - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
Hint on how plugins should process the data in this series.
- setTypeHintBytes(ByteString) - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
Hint on how plugins should process the data in this series.
- setTypeListAttr(String) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- setTypeListAttrBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
If specified, attr must have type "list(type)", and none of
type, type_attr, and number_attr may be specified.
- setTypeName(String) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
string type_name = 3;
- setTypeName(String) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Name of the type of objects being serialized.
- setTypeNameBytes(ByteString) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
string type_name = 3;
- setTypeNameBytes(ByteString) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
Name of the type of objects being serialized.
- setTypeValue(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
The type field MUST be present for this version of the IR.
- setTypeValue(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
The type field MUST be present for this version of the IR.
- setTypeValue(int) - Method in class org.tensorflow.framework.AttrValue.Builder
-
"type"
- setTypeValue(int, int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
"list(type)"
- setTypeValue(int) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
Describes the type of one or more tensors that are accepted/produced
by this input/output arg.
- setUint32Val(int, int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT32
- setUint64Data(int, long) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- setUint64Data(int, long) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
- setUint64Val(int, long) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_UINT64
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.AttributeProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.ModelProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.NodeProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.TensorProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.TypeProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AllocationDescription.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AllocationRecord.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ApiDefs.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AttrValue.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CostGraphDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DeviceLocality.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.FunctionDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GradientDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.HistogramProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.KernelDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.MemoryStats.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NameAttrList.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NodeDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NodeExecStats.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.NodeOutput.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.OpList.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.StepStats.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.Summary.Audio.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.Summary.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.Summary.Image.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.Summary.Value.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SummaryDescription.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorDescription.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.VariableDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.framework.VersionDef.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
-
- setUnknownFields(UnknownFieldSet) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
-
- setUnknownRank(boolean) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
-
If true, the number of dimensions in the shape is unknown.
- setupFunction(X) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- setValue(String) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
string value = 2;
- setValue(String) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
string value = 2;
- setValue(int, Summary.Value) - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- setValue(int, Summary.Value.Builder) - Method in class org.tensorflow.framework.Summary.Builder
-
Set of values for the summary.
- setValue(AttrValue) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
.tensorflow.AttrValue value = 2;
- setValue(AttrValue.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
-
.tensorflow.AttrValue value = 2;
- setValueBytes(ByteString) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
-
string value = 2;
- setValueBytes(ByteString) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
-
string value = 2;
- setValueFor(Field, Object) - Method in class org.nd4j.autodiff.functions.DifferentialFunction
-
Set the value for this function.
- setValueFor(Field, Object) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.BaseConvolutionConfig
-
Set the value for this function.
- setValueFor(Field, Object) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D
-
- setValueFor(Field, Object) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
-
- setValueFor(Field, Object) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D
-
- setValueFor(Field, Object) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D
-
- setValueFor(Field, Object) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D
-
- setValueFor(Field, Object) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.FullConv3D
-
- setValueFor(Field, Object) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D
-
- setValueFor(Field, Object) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D
-
- setValueFor(Field, Object) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D
-
- setValueFor(Field, Object) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D
-
- setValueFor(Field, Object) - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast
-
- setValueInfo(int, OnnxMlProto3.ValueInfoProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- setValueInfo(int, OnnxMlProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
-
Information for the values in the graph.
- setValueInfo(int, OnnxProto3.ValueInfoProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- setValueInfo(int, OnnxProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
-
Information for the values in the graph.
- setValueType(OnnxMlProto3.TypeProto) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- setValueType(OnnxMlProto3.TypeProto.Builder) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
-
This field MUST be present for this version of the IR.
- setVariableName(String) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the variable tensor.
- setVariableNameBytes(ByteString) - Method in class org.tensorflow.framework.VariableDef.Builder
-
Name of the variable tensor.
- setVariantVal(int, VariantTensorDataProto) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- setVariantVal(int, VariantTensorDataProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder
-
DT_VARIANT
- setVarOffset(int, long) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Offset of this variable into the full variable.
- setVarShape(int, long) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
-
Shape of this variable.
- setVersion(long) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
-
The version of the operator set being identified.
- setVersion(long) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
-
The version of the operator set being identified.
- setVersion(int) - Method in class org.tensorflow.framework.GraphDef.Builder
-
Deprecated.
- setVersion(int) - Method in class org.tensorflow.framework.OpDeprecation.Builder
-
First GraphDef version at which the op is disallowed.
- setVersion(String) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
A user-specified version string.
- setVersionBytes(ByteString) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
-
A user-specified version string.
- setVersionNumber(int) - Method in class org.tensorflow.framework.TensorProto.Builder
-
Version number.
- setVersions(VersionDef) - Method in class org.tensorflow.framework.GraphDef.Builder
-
Compatibility versions of the graph.
- setVersions(VersionDef.Builder) - Method in class org.tensorflow.framework.GraphDef.Builder
-
Compatibility versions of the graph.
- setVisibility(ApiDef.Visibility) - Method in class org.tensorflow.framework.ApiDef.Builder
-
.tensorflow.ApiDef.Visibility visibility = 2;
- setVisibilityValue(int) - Method in class org.tensorflow.framework.ApiDef.Builder
-
.tensorflow.ApiDef.Visibility visibility = 2;
- setWidth(int) - Method in class org.tensorflow.framework.Summary.Image.Builder
-
int32 width = 2;
- setWorkFinished(long) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
int64 work_finished = 2;
- setWorkspaceForCurrentThread(MemoryWorkspace) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- setWorkspaceForCurrentThread(MemoryWorkspace, String) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- setWorkStarted(long) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
-
int64 work_started = 1;
- setWrapAround(boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Deprecated.
- setWrapAround(boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- setWrapAround(boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Set the ndarray to wrap around
- setX(INDArray) - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- setX(INDArray) - Method in interface org.nd4j.linalg.api.ops.Op
-
set x (the input ndarray)
- setY(INDArray) - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- setY(INDArray) - Method in interface org.nd4j.linalg.api.ops.Op
-
set y(the pairwise ndarray)
- setZ(INDArray) - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- setZ(INDArray) - Method in interface org.nd4j.linalg.api.ops.Op
-
set z (the solution ndarray)
- sgbmv(char, char, int, int, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- Sgd - Class in org.nd4j.linalg.learning.config
-
SGD updater applies a learning rate only
- Sgd() - Constructor for class org.nd4j.linalg.learning.config.Sgd
-
- Sgd(double) - Constructor for class org.nd4j.linalg.learning.config.Sgd
-
- Sgd(ISchedule) - Constructor for class org.nd4j.linalg.learning.config.Sgd
-
- Sgd.Builder - Class in org.nd4j.linalg.learning.config
-
- SgdUpdater - Class in org.nd4j.linalg.learning
-
SGD updater applies a learning rate only
- SgdUpdater(Sgd) - Constructor for class org.nd4j.linalg.learning.SgdUpdater
-
- sgemm(char, char, char, int, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- sgemv(char, char, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sgeqrf(int, int, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
Float/Double versions of QR decomp.
- sger(char, int, int, float, INDArray, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sgesvd(byte, byte, int, int, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- sgetrf(int, int, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
Float/Double versions of LU decomp.
- shannonEntropy(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns non-normalized Shannon entropy along dimension
- shannonEntropy(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
Returns non-normalized Shannon entropy along dimension
- shannonEntropy(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns entropy value for this INDArray along specified dimension(s)
- ShannonEntropy - Class in org.nd4j.linalg.api.ops.impl.accum
-
Non-normalized Shannon Entropy Op - returns the entropy (information gain, or uncertainty of a random variable).
- ShannonEntropy(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ShannonEntropy
-
- ShannonEntropy(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ShannonEntropy
-
- ShannonEntropy() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ShannonEntropy
-
- ShannonEntropy(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ShannonEntropy
-
- ShannonEntropy(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ShannonEntropy
-
- ShannonEntropy(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ShannonEntropy
-
- ShannonEntropy(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ShannonEntropy
-
- ShannonEntropy(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ShannonEntropy
-
- shannonEntropyNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns non-normalized Shannon entropy value for this INDArray
- shannonEntropyNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
Returns non-normalized Shannon entropy value for this INDArray
- shannonEntropyNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns non-normalized Shannon entropy value for this INDArray
- shape(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- shape(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- shape(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- shape(int) - Method in class org.nd4j.graph.FlatArray
-
- shape(int) - Method in class org.nd4j.graph.FlatVariable
-
- SHAPE - Static variable in class org.nd4j.graph.OpType
-
- shape() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the shape(dimensions) of this array
- shape - Variable in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- shape() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- shape() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the shape of this ndarray
- Shape - Class in org.nd4j.linalg.api.ops.impl.shape
-
Returns the shape of the input array.
- Shape() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Shape
-
- Shape(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Shape
-
- Shape - Class in org.nd4j.linalg.api.shape
-
Encapsulates all shape related logic (vector of 0 dimension is a scalar is equivalent to
a vector of length 1...)
- shape(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get array shape from the buffer, as an int[]
- shape(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get array shape from the buffer, as an int[]
- shape(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get array shape from an int[]
- shape(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Returns the shape of the ndarray
- shape(INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices
-
Calculate the shape for the given set of indices.
- shape(int[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices
-
Calculate the shape for the given set of indices and offsets.
- shape(long[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices
-
- shape - Variable in class org.nd4j.linalg.learning.AdaGradUpdater
-
- shape - Variable in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- SHAPE_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TypeProto.Tensor
-
- SHAPE_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.TypeProto.Tensor
-
- SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue.ListValue
-
- SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue
-
- SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
-
- SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
-
- SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
-
- SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
-
- SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorDescription
-
- SHAPE_KEY - Static variable in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- shapeAlreadyExistsForVarName(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Returns true if the given vertex id
and shape already exist.
- shapeAsByteBuffer() - Method in class org.nd4j.graph.FlatArray
-
- shapeAsByteBuffer() - Method in class org.nd4j.graph.FlatVariable
-
- ShapeDescriptor - Class in org.nd4j.linalg.api.shape
-
- ShapeDescriptor(int[], int[], long, int, char) - Constructor for class org.nd4j.linalg.api.shape.ShapeDescriptor
-
- shapeEquals(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Returns whether 2 shapes are equals by checking for dimension semantics
as well as array equality
- shapeInfo() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- shapeInfo() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- shapeInfo() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Shape info
- SHAPEINFO_PROVIDER - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- shapeInfoDataBuffer() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- shapeInfoDataBuffer() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- shapeInfoDataBuffer() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- shapeInfoDataBuffer() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
- shapeInfoDataBuffer() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Shape info
- shapeInfoLength(int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Return the shape info length
given the rank
- ShapeInfoProvider - Interface in org.nd4j.linalg.api.ndarray
-
- shapeInfoProvider - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- shapeInfoProviderClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- shapeInformation - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- shapeInformation - Variable in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- shapeInfoToString() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the shape information debugging
information
- shapeInfoToString() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- shapeInfoToString() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the shape information debugging
information
- shapeIsScalar(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Returns true if this shape is scalar
- shapeLength() - Method in class org.nd4j.graph.FlatArray
-
- shapeLength() - Method in class org.nd4j.graph.FlatVariable
-
- shapeOf() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- shapeOf() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- shapeOf(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the shape from
the given int buffer
- shapeOf(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the shape from
the given int buffer
- shapeOf(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- ShapeOffsetResolution - Class in org.nd4j.linalg.indexing
-
Sets up the strides, shape
, and offsets
for an indexing operation
- ShapeOffsetResolution(INDArray) - Constructor for class org.nd4j.linalg.indexing.ShapeOffsetResolution
-
Specify the array to use for resolution
- ShapeOp - Class in org.nd4j.linalg.api.ops
-
Shape manipulation ops
- ShapeOp() - Constructor for class org.nd4j.linalg.api.ops.ShapeOp
-
- ShapeOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.ShapeOp
-
- ShapeOp(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.ShapeOp
-
- ShapeOp(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.ShapeOp
-
- ShapeOp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.ShapeOp
-
Specify an alternative output array
- ShapeOp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.ShapeOp
-
- ShapeOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.ShapeOp
-
An op for one ndarray
- ShapeOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.ShapeOp
-
Specify an alternative result array
- shapes - Variable in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- shapeToString(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Prints the shape
for this shape information
- shapeToString(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Prints the shape
for this shape information
- shiftLeft(DataBuffer, int, int, long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- shouldInstrument - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- shouldSkip(NODE_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
-
- shouldSkip(OnnxProto3.NodeProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
-
- shouldSkip(NodeDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
-
- showDataSet(int, String, DataSet, int, int, int, int) - Method in class org.nd4j.linalg.util.DataSetUtils
-
showDataSet
public void showDataSet( int mtLv, String itemCode, DataSet ds,
int in_Digits, int ot_Digits, int r_End_I, int c_End_I )
Shows content of DataSet.
- showINDArray(int, String, INDArray, int, int, int) - Method in class org.nd4j.linalg.util.DataSetUtils
-
showINDArray
public void showINDArray( int mtLv, String itemCode, INDArray INDA,
int digits, int r_End_I, int c_End_I )
Shows content of INDArray.
Shows first rows and than columns.
- showINDArray(int, String, INDArray, int, int, int, boolean) - Method in class org.nd4j.linalg.util.DataSetUtils
-
showINDArray
public void showINDArray( int mtLv, String itemCode, INDArray INDA,
int digits, int r_End_I, int c_End_I, boolean turned )
Shows content of INDArray.
If turned is false shows first rows and than columns.
If turned is true shows first columns and than rows.
- shuffle() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Shuffle the order of the rows in the DataSet.
- shuffle() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Shuffle the order of the examples in the MultiDataSet.
- shuffle() - Method in class org.nd4j.linalg.dataset.DataSet
-
- shuffle(long) - Method in class org.nd4j.linalg.dataset.DataSet
-
Shuffles the dataset in place, given a seed for a random number generator.
- shuffle() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- shuffle(INDArray, Random, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
In place shuffle of an ndarray
along a specified set of dimensions
- shuffle(INDArray, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
In place shuffle of an ndarray
along a specified set of dimensions
- shuffle(Collection<INDArray>, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Symmetric in place shuffle of an ndarray
along a specified set of dimensions
- shuffle(Collection<INDArray>, Random, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Symmetric in place shuffle of an ndarray
along a specified set of dimensions
- shuffle(List<INDArray>, Random, List<int[]>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Symmetric in place shuffle of an ndarray
along a variable dimensions
- shuffle(INDArray, Random, int...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
In place shuffle of an ndarray
along a specified set of dimensions
- shuffle(Collection<INDArray>, Random, int...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Symmetric in place shuffle of an ndarray
along a specified set of dimensions.
- shuffle(List<INDArray>, Random, List<int[]>) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Symmetric in place shuffle of an ndarray
along a specified set of dimensions.
- sigmoid(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sigmoid(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- sigmoid(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- Sigmoid - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Sigmoid function
- Sigmoid(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sigmoid
-
- Sigmoid(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sigmoid
-
- Sigmoid(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sigmoid
-
- Sigmoid() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sigmoid
-
- Sigmoid(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sigmoid
-
- Sigmoid(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sigmoid
-
- Sigmoid(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sigmoid
-
- Sigmoid(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sigmoid
-
- Sigmoid(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sigmoid
-
- sigmoid(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sigmoid function
- sigmoid(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sigmoid function
- SigmoidCrossEntropyLoss - Class in org.nd4j.linalg.api.ops.impl.accum
-
Sigmoid cross entropy loss with logits
- SigmoidCrossEntropyLoss(SameDiff, SDVariable, SDVariable, SDVariable, int, double) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.SigmoidCrossEntropyLoss
-
- SigmoidCrossEntropyLoss(SameDiff, SDVariable, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.SigmoidCrossEntropyLoss
-
- sigmoidCrossEntropyWithLogits(SDVariable, SDVariable, SDVariable, int, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sigmoidCrossEntropyWithLogits(SDVariable, SDVariable, SDVariable, int, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- sigmoidCrossEntropyWithLogits(String, SDVariable, SDVariable, SDVariable, int, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- sigmoidDerivative(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sigmoidDerivative(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- sigmoidDerivative(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- SigmoidDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient
-
- SigmoidDerivative(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative
-
- SigmoidDerivative(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative
-
- SigmoidDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative
-
- SigmoidDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative
-
- SigmoidDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative
-
- SigmoidDerivative(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative
-
- SigmoidDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative
-
- SigmoidDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Sigmoid derivative
- SigmoidDerivative(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SigmoidDerivative
-
- SigmoidDerivative(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SigmoidDerivative
-
- SigmoidDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SigmoidDerivative
-
- SigmoidDerivative(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SigmoidDerivative
-
- SigmoidDerivative(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SigmoidDerivative
-
- SigmoidDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SigmoidDerivative
-
- SigmoidDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SigmoidDerivative
-
- SigmoidDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SigmoidDerivative
-
- SigmoidDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SigmoidDerivative
-
- SigmoidDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SigmoidDerivative
-
- sigmoidDerivative(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sigmoid function
- sigmoidDerivative(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sigmoid function
- SigmoidSchedule - Class in org.nd4j.linalg.schedule
-
Sigmoid decay schedule, with 3 parameters: initial value, gamma and stepSize.
value(i) = initialValue * 1.0 / (1 + exp(-gamma * (iter - stepSize)))
where i is the iteration or epoch (depending on the setting)
- SigmoidSchedule(ScheduleType, double, double, int) - Constructor for class org.nd4j.linalg.schedule.SigmoidSchedule
-
- SigmoidUniformInitScheme - Class in org.nd4j.weightinit.impl
-
Initialize the weight to:
range = 4.0 * Math.sqrt(6.0 / (fanIn + fanOut))
U(-range,range)
- SigmoidUniformInitScheme(char, double, double) - Constructor for class org.nd4j.weightinit.impl.SigmoidUniformInitScheme
-
- sign(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sign(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- sign(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- Sign - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Signum function
- Sign(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sign
-
- Sign(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sign
-
- Sign(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sign
-
- Sign() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sign
-
- Sign(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sign
-
- Sign(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sign
-
- Sign(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sign
-
- Sign(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sign
-
- sign(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Signum function of this ndarray
- sign(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Signum function of this ndarray
- SIGNATURE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.FunctionDef
-
- SIMPLE_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Value
-
- sin(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sin(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- sin(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- Sin - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Log elementwise function
- Sin(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sin
-
- Sin(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sin
-
- Sin(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sin
-
- Sin(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sin
-
- Sin(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sin
-
- Sin(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sin
-
- Sin(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sin
-
- Sin() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sin
-
- sin(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sin function
- sin(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sin function
- sin(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Return the sin value of the given complex number
- SINCE_VERSION_FIELD_NUMBER - Static variable in class onnx.OnnxOperatorsProto3.OperatorProto
-
- SingleGenerator() - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex.SingleGenerator
-
- sinh(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sinh(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- sinh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- Sinh - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Sinh function
- Sinh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sinh
-
- Sinh(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sinh
-
- Sinh(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sinh
-
- Sinh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sinh
-
- Sinh(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sinh
-
- Sinh(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sinh
-
- Sinh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sinh
-
- Sinh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sinh
-
- sinh(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sinh function
- sinh(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sinh function
- size(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the size of this array
along a particular dimension
- size(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- size(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the size along a specified dimension
- size(IntBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the size of the specified dimension.
- size(DataBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the size of the specified dimension.
- size(int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- size() - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
This method returns number of entries available in storage
- size() - Method in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor
-
- size() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- size - Variable in class org.nd4j.list.BaseNDArrayList
-
- size() - Method in class org.nd4j.list.BaseNDArrayList
-
- size() - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
-
- size() - Method in class org.nd4j.list.NDArrayList
-
- SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
-
- SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorShapeProto.Dim
-
- sizeForAxes(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Output an int array for a particular dimension
- sizeOfDataType() - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns sizeOf(currentDataType), in bytes
- sizeOfDataType(DataBuffer.Type) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns size of element for specified dataType, in bytes
- SizeThresholdIntArrayIntIndexAdpater - Class in org.nd4j.imports.descriptors.properties.adapters
-
- SizeThresholdIntArrayIntIndexAdpater() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.SizeThresholdIntArrayIntIndexAdpater
-
- sizeUnsafe(DataBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the size of the specified dimension.
- sizeUnsafe(int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- SKIP_FIELD_NUMBER - Static variable in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
-
- SKIP_VALUE - Static variable in enum org.tensorflow.framework.ApiDef.Visibility
-
Do not include this op in the generated API.
- slice(SDVariable, int[], int[]) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- slice(SDVariable, int[], int[]) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- slice(String, SDVariable, int[], int[]) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- slice(int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Returns the specified slice of this matrix.
- slice(int, int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Returns the slice of this from the specified dimension
- slice(int, int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns the specified slice of this ndarray
- slice(int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns the specified slice of this ndarray
- slice(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the specified slice of this matrix.
- slice(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the slice of this from the specified dimension
- slice(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- slice(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- slice(int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the specified slice of this ndarray
- slice(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the specified slice of this ndarray
- Slice - Class in org.nd4j.linalg.api.ops.impl.shape
-
Slice function
- Slice() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Slice
-
- Slice(SameDiff, SDVariable, int[], int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Slice
-
- sliceOffsetForTensor(int, INDArray, int[]) - Static method in class org.nd4j.linalg.util.NDArrayMath
-
calculates the offset for a tensor
- slices() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Number of slices: aka shape[0]
- slices() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- slices() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the number of slices in this ndarray
- sliceVectors(List<INDArray>) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Flattens the array for linear indexing
- sliceVectors(List<INDArray>) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sliceVectors(List<INDArray>) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- SLOT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeOutput
-
- SNAPSHOT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VariableDef
-
- snrm2(int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- snrm2(int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- SOC_OP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
-
- softmax(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- softmax(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- softmax(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- SoftMax - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Soft max function
row_maxes is a row vector (max for each row)
row_maxes = rowmaxes(input)
diff = exp(input - max) / diff.rowSums()
Outputs a probability distribution.
- SoftMax() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftMax
-
- SoftMax(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftMax
-
- SoftMax(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftMax
-
- softmax(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- softmax(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- SoftmaxCrossEntropyLoss - Class in org.nd4j.linalg.api.ops.impl.accum
-
Softmax cross entropy loss with logits
- SoftmaxCrossEntropyLoss(SameDiff, SDVariable, SDVariable, SDVariable, int, double) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.SoftmaxCrossEntropyLoss
-
- SoftmaxCrossEntropyLoss(SameDiff, SDVariable, SDVariable, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.SoftmaxCrossEntropyLoss
-
- softmaxCrossEntropyWithLogits(SDVariable, SDVariable, SDVariable, int, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- softmaxCrossEntropyWithLogits(SDVariable, SDVariable, SDVariable, int, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- softmaxCrossEntropyWithLogits(String, SDVariable, SDVariable, SDVariable, int, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- softmaxDerivative(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- softmaxDerivative(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- SoftMaxDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient
-
- SoftMaxDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftMaxDerivative
-
- SoftMaxDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftMaxDerivative
-
- SoftMaxDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftMaxDerivative
-
- SoftMaxDerivative(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftMaxDerivative
-
- SoftMaxDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftMaxDerivative
-
- SoftMaxDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Softmax derivative
- SoftMaxDerivative(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftMaxDerivative
-
- SoftMaxDerivative(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftMaxDerivative
-
- SoftMaxDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftMaxDerivative
-
- SoftMaxDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftMaxDerivative
-
- SoftMaxDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftMaxDerivative
-
- SoftMaxDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftMaxDerivative
-
- SoftMaxDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftMaxDerivative
-
- softplus(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- softplus(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- softplus(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- SoftPlus - Class in org.nd4j.linalg.api.ops.impl.transforms
-
- SoftPlus(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftPlus
-
- SoftPlus(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftPlus
-
- SoftPlus(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftPlus
-
- SoftPlus(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftPlus
-
- SoftPlus() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftPlus
-
- SoftPlus(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftPlus
-
- SoftPlus(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftPlus
-
- SoftPlus(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftPlus
-
- softPlus(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- softPlus(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- softsign(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- softsign(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- softsign(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- SoftSign - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Softsign element-wise activation function.
- SoftSign(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftSign
-
- SoftSign(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftSign
-
- SoftSign(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftSign
-
- SoftSign() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftSign
-
- SoftSign(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftSign
-
- SoftSign(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftSign
-
- SoftSign(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftSign
-
- SoftSign(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftSign
-
- softsign(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- softsign(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- softsignDerivative(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- softsignDerivative(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- softsignDerivative(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- SoftSignDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient
-
SoftSign derivative.
- SoftSignDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative
-
- SoftSignDerivative(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative
-
- SoftSignDerivative(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative
-
- SoftSignDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative
-
- SoftSignDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative
-
- SoftSignDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative
-
- SoftSignDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative
-
- SoftSignDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative
-
- softsignDerivative(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- softsignDerivative(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- solverAbsoluteAccuracy - Variable in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
- sort() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
Sort the indexes and the values buffers
- sort(IComplexNDArray, int, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Sort an ndarray along a particular dimension
- sort(INDArray, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- sort(INDArray, int, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Sort an ndarray along a particular dimension
- sort(INDArray, boolean) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- sort(INDArray, boolean, int...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- sortAndBatchByNumLabels() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- sortAndBatchByNumLabels() - Method in class org.nd4j.linalg.dataset.DataSet
-
Sorts the dataset by label:
Splits the data transform such that examples are sorted by their labels.
- sortByLabel() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- sortByLabel() - Method in class org.nd4j.linalg.dataset.DataSet
-
Organizes the dataset to minimize sampling error
while still allowing efficient batching.
- sortColumns(INDArray, int, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Sort (shuffle) the columns of a 2d array according to the value at a specified row.
- sortCooIndices(INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- sortRows(INDArray, int, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Sort (shuffle) the rows of a 2d array according to the value at a specified column.
- sortWithIndices(IComplexNDArray, int, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Sort an ndarray along a particular dimension
- sortWithIndices(INDArray, int, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Sort an ndarray along a particular dimension
- spaceToBatch(SDVariable, int[], int[][]) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- spaceToBatch(SDVariable, int[], int[][]) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- spaceToBatch(String, SDVariable, int[], int[][]) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- SpaceToBatch - Class in org.nd4j.linalg.api.ops.impl.transforms
-
N-dimensional space to batch operation.
- SpaceToBatch() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SpaceToBatch
-
- SpaceToBatch(SameDiff, SDVariable[], int[], int[][], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SpaceToBatch
-
- spaceToDepth(SDVariable, int, String) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- spaceToDepth(SDVariable, int, String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- spaceToDepth(String, SDVariable, int, String) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- SpaceToDepth - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
-
This operation takes 4D array in, in either NCHW or NHWC format, and moves data from spatial dimensions (HW)
to channels (C) for given blockSize
- SpaceToDepth() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth
-
- SpaceToDepth(SameDiff, SDVariable[], int, String) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth
-
- SPARSE_BLAS_OPS - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- SPARSE_BLAS_WRAPPER_INSTANCE - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- SPARSE_INSTANCE - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- SPARSE_NDARRAY_FACTORY_CLASS - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- SparseBaseLapack - Class in org.nd4j.linalg.api.blas.impl
-
- SparseBaseLapack() - Constructor for class org.nd4j.linalg.api.blas.impl.SparseBaseLapack
-
- SparseBaseLevel - Class in org.nd4j.linalg.api.blas.impl
-
- SparseBaseLevel() - Constructor for class org.nd4j.linalg.api.blas.impl.SparseBaseLevel
-
- SparseBaseLevel1 - Class in org.nd4j.linalg.api.blas.impl
-
- SparseBaseLevel1() - Constructor for class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- SparseBaseLevel2 - Class in org.nd4j.linalg.api.blas.impl
-
- SparseBaseLevel2() - Constructor for class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- SparseBaseLevel3 - Class in org.nd4j.linalg.api.blas.impl
-
- SparseBaseLevel3() - Constructor for class org.nd4j.linalg.api.blas.impl.SparseBaseLevel3
-
- sparseBlasWrapperClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- SparseCOOGemvParameters - Class in org.nd4j.linalg.api.blas.params
-
- SparseCOOGemvParameters(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.blas.params.SparseCOOGemvParameters
-
- SparseDescriptor - Class in org.nd4j.linalg.api.shape
-
- SparseDescriptor(int[], long[], int[], int) - Constructor for class org.nd4j.linalg.api.shape.SparseDescriptor
-
- sparseFactory() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- SparseFormat - Enum in org.nd4j.linalg.api.ndarray
-
- sparseGenerator() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- SPARSEINFO_PROVIDER - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- sparseInfoDataBuffer() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sparseInfoDataBuffer() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sparseInfoDataBuffer() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Sparse info
- SparseInfoProvider - Interface in org.nd4j.linalg.api.ndarray
-
- sparseInfoProvider - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- sparseInfoProviderClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- sparseInformation - Variable in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sparseNDArrayClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- sparseOffsets() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sparseOffsets() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sparseOffsets() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- sparseOffsets(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- SparseSingleGenerator() - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex.SparseSingleGenerator
-
- SparseSpecifiedIndexesGenerator(INDArrayIndex[]) - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex.SparseSpecifiedIndexesGenerator
-
The indexes to generate from
- specialConcat(int, INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Concatneate ndarrays along a dimension
PLEASE NOTE: This method is special for GPU backend, it works on HOST side only.
- specialConcat(int, INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Concatenate ndarrays along a dimension
PLEASE NOTE: This method is special for GPU backend, it works on HOST side only.
- SpecifiedIndex - Class in org.nd4j.linalg.indexing
-
- SpecifiedIndex(int...) - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex
-
- SpecifiedIndex(long...) - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex
-
- SpecifiedIndex.SingleGenerator - Class in org.nd4j.linalg.indexing
-
- SpecifiedIndex.SparseSingleGenerator - Class in org.nd4j.linalg.indexing
-
- SpecifiedIndex.SparseSpecifiedIndexesGenerator - Class in org.nd4j.linalg.indexing
-
A generator for
SpecifiedIndex for
Itertools.product(Generator)
to iterate
over an array given a set of iterators
- SpecifiedIndex.SpecifiedIndexesGenerator - Class in org.nd4j.linalg.indexing
-
A generator for
SpecifiedIndex for
Itertools.product(Generator)
to iterate
over an array given a set of iterators
- SpecifiedIndexesGenerator(INDArrayIndex[]) - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex.SpecifiedIndexesGenerator
-
The indexes to generate from
- spilledAllocationsSize - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- Split - Class in org.nd4j.linalg.api.ops.impl.shape
-
SplitV op
- Split() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Split
-
- splitTestAndTrain(int, Random) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- splitTestAndTrain(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- splitTestAndTrain(double) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
SplitV the DataSet into two DataSets randomly
- splitTestAndTrain(int, Random) - Method in class org.nd4j.linalg.dataset.DataSet
-
Splits a dataset in to test and train randomly.
- splitTestAndTrain(int) - Method in class org.nd4j.linalg.dataset.DataSet
-
Splits a dataset in to test and train
- splitTestAndTrain(double) - Method in class org.nd4j.linalg.dataset.DataSet
-
- SplitTestAndTrain - Class in org.nd4j.linalg.dataset
-
SplitV test and train
- SplitTestAndTrain(DataSet, DataSet) - Constructor for class org.nd4j.linalg.dataset.SplitTestAndTrain
-
- SplitV - Class in org.nd4j.linalg.api.ops.impl.shape
-
SplitV op
- SplitV() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SplitV
-
- spmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- spmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- spmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
- spotrf(byte, int, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
Float/Double versions of cholesky decomp for positive definite matrices
A = LL*
- spr(char, char, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
spr performs a rank-1 update of an n-by-n packed symmetric matrix a:
a := alpha*x*x' + a.
- spr(char, char, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- spr(char, char, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
spr performs a rank-1 update of an n-by-n packed symmetric matrix a:
a := alpha*x*x' + a.
- spr2(char, char, double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
?spr2 performs a rank-2 update of an n-by-n packed symmetric matrix a:
a := alpha*x*y' + alpha*y*x' + a.
- spr2(char, char, double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- spr2(char, char, double, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
?spr2 performs a rank-2 update of an n-by-n packed symmetric matrix a:
a := alpha*x*y' + alpha*y*x' + a.
- sqrt(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sqrt(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- sqrt(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- Sqrt - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Sqrt function
- Sqrt(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sqrt
-
- Sqrt(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sqrt
-
- Sqrt(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sqrt
-
- Sqrt() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sqrt
-
- Sqrt(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sqrt
-
- Sqrt(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sqrt
-
- Sqrt(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sqrt
-
- Sqrt(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sqrt
-
- sqrt(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sqrt function
- sqrt(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sqrt function
- sqrt(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Return the absolute value of the given complex number
- square(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- square(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- square(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- squaredDifference(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- squaredDifference(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- squaredDifference(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- SquaredDifferenceOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic
-
Squared difference operation, i.e.
- SquaredDifferenceOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.SquaredDifferenceOp
-
- SquaredDifferenceOp(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.SquaredDifferenceOp
-
- SquaredDifferenceOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.SquaredDifferenceOp
-
- squaredDistance(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Returns the squared (Euclidean) distance.
- squaredDistance(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the square of the Euclidean distance.
- squaredDistance(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- squaredDistance(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the square of the Euclidean distance.
- squeeze(SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- squeeze(SDVariable, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- squeeze(String, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- Squeeze - Class in org.nd4j.linalg.api.ops.impl.shape
-
- Squeeze() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Squeeze
-
- Squeeze(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Squeeze
-
- squeeze(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Gets rid of any singleton dimensions of the given array
- squishToRange(double, double) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- squishToRange(double, double) - Method in class org.nd4j.linalg.dataset.DataSet
-
Squeezes input data to a max and a min
- srot(int, INDArray, int, INDArray, int, float, float) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- srotg(float, float, float, float) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- sroti(int, INDArray, DataBuffer, INDArray, double, double) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- srotm(int, INDArray, int, INDArray, int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- srotmg(float, float, float, float, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- sru(SRUConfiguration) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Simple recurrent unit
- sru(String, SRUConfiguration) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
Simiple recurrent unit
- SRU - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent
-
Simple recurrent unit
- SRU() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRU
-
- SRU(SameDiff, SRUConfiguration) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRU
-
- sruCell(SRUCellConfiguration) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
An sru cell
- sruCell(String, SRUCellConfiguration) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
An sru cell
- SRUCell - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent
-
A simple recurrent unit cell.
- SRUCell() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRUCell
-
- SRUCell(SameDiff, SRUCellConfiguration) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRUCell
-
- SRUCellConfiguration - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent.config
-
- SRUCellConfiguration() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.SRUCellConfiguration
-
- SRUConfiguration - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent.config
-
- SRUConfiguration() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.SRUConfiguration
-
- ssbmv(char, char, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sscal(int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- sscal(int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- sspmv(char, char, int, float, INDArray, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sspr(char, char, int, float, INDArray, int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sspr2(char, char, int, float, INDArray, int, INDArray, int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sswap(int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- ssyev(char, char, int, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
Float/Double versions of eigen value/vector calc.
- ssymm(char, char, char, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- ssymv(char, char, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- ssyr(char, char, int, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- ssyr2(char, char, int, float, INDArray, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- ssyr2k(char, char, char, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- ssyrk(char, char, char, int, int, float, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- Stabilize - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Stabilization function, forces values to be within a range
- Stabilize(SameDiff, SDVariable, boolean, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Stabilize
-
- Stabilize(SameDiff, SDVariable, int[], boolean, Object[], double, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Stabilize
-
- Stabilize(SameDiff, SDVariable, Object[], double, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Stabilize
-
- Stabilize() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Stabilize
-
- Stabilize(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Stabilize
-
- Stabilize(INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Stabilize
-
- Stabilize(INDArray, INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Stabilize
-
- Stabilize(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Stabilize
-
- stabilize(INDArray, double) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- stabilize(INDArray, double, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Stabilize to be within a range of k
- STABLE_VALUE - Static variable in enum onnx.OnnxOperatorsProto3.OperatorProto.OperatorStatus
-
STABLE = 1;
- StableNumber - Class in org.nd4j.linalg.indexing.functions
-
Returns a stable number based on infinity
or nan
- StableNumber(StableNumber.Type) - Constructor for class org.nd4j.linalg.indexing.functions.StableNumber
-
- StableNumber.Type - Enum in org.nd4j.linalg.indexing.functions
-
- stack(SDVariable[], int) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- stack(SDVariable[], int) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- stack(String, SDVariable[], int) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- Stack - Class in org.nd4j.linalg.api.ops.impl.shape
-
Stack operation.
- Stack() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Stack
-
- Stack(SameDiff, SDVariable[], int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Stack
-
- StackAggregator - Class in org.nd4j.linalg.profiler.data
-
This is utility class, provides stack traces collection, used in OpProfiler, to count events occurrences based on their position in code
- StackAggregator() - Constructor for class org.nd4j.linalg.profiler.data.StackAggregator
-
- StackComparator - Class in org.nd4j.linalg.profiler.data.primitives
-
- StackComparator() - Constructor for class org.nd4j.linalg.profiler.data.primitives.StackComparator
-
- StackDescriptor - Class in org.nd4j.linalg.profiler.data.primitives
-
- StackDescriptor(StackTraceElement[]) - Constructor for class org.nd4j.linalg.profiler.data.primitives.StackDescriptor
-
- StackNode - Class in org.nd4j.linalg.profiler.data.primitives
-
- StackNode(String) - Constructor for class org.nd4j.linalg.profiler.data.primitives.StackNode
-
- stackTrace - Variable in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor
-
- stackTraceElements - Variable in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- StackTree - Class in org.nd4j.linalg.profiler.data.primitives
-
- StackTree() - Constructor for class org.nd4j.linalg.profiler.data.primitives.StackTree
-
- standardDeviation(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- standardDeviation(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- StandardDeviation - Class in org.nd4j.linalg.api.ops.impl.accum
-
Standard deviation (sqrt of variance)
- StandardDeviation(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- StandardDeviation(SameDiff, SDVariable, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- StandardDeviation(INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- StandardDeviation(INDArray, INDArray, INDArray, long, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- StandardDeviation() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- StandardDeviation(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- StandardDeviation(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- StandardDeviation(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- standardizeAllInputs() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Apply standardization to all inputs, except the ones individually configured
- standardizeAllOutputs() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Apply standardization to all outputs, except the ones individually configured
- standardizeInput(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Apply standardization to a specific input, overriding the global input strategy if any
- standardizeOutput(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Apply standardization to a specific output, overriding the global output strategy if any
- StandardizeSerializerStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer
-
- StandardizeSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.StandardizeSerializerStrategy
-
- StandardizeStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor
-
NormalizerStrategy implementation that will standardize and de-standardize data arrays, based on statistics
of the means and standard deviations of the population
- StandardizeStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.StandardizeStrategy
-
- StandardScaler - Class in org.nd4j.linalg.dataset.api.iterator
-
- StandardScaler() - Constructor for class org.nd4j.linalg.dataset.api.iterator.StandardScaler
-
Deprecated.
- START_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorSliceProto.Extent
-
- startAVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
-
- startBufferVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArray
-
- startDimensionsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- startDVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
-
- startExtraIntegerVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- startExtraParamsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- startFlatArray(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatArray
-
- startFlatConfiguration(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatConfiguration
-
- startFlatGraph(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatGraph
-
- startFlatNode(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatNode
-
- startFlatProperties(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatProperties
-
- startFlatResult(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatResult
-
- startFlatTiming(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatTiming
-
- startFlatVariable(FlatBufferBuilder) - Static method in class org.nd4j.graph.FlatVariable
-
- startInputPairedVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- startInputVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- startIntPair(FlatBufferBuilder) - Static method in class org.nd4j.graph.IntPair
-
- startIntTriple(FlatBufferBuilder) - Static method in class org.nd4j.graph.IntTriple
-
- startIVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
-
- startLongPair(FlatBufferBuilder) - Static method in class org.nd4j.graph.LongPair
-
- startLVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
-
- startNodesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
-
- startOutputsVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
-
- startOutputVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- startPropertiesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
-
- startShapeVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArray
-
- startShapeVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
-
- startTimingVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatResult
-
- startVariablesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
-
- startVariablesVector(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatResult
-
- stash - Variable in class org.nd4j.linalg.memory.stash.BasicStash
-
- Stash<T> - Interface in org.nd4j.linalg.memory.stash
-
This interface describe short-living storage, with pre-defined life time.
- StashManager - Interface in org.nd4j.linalg.memory.stash
-
This interface describes factory/holder for manipulating Stash objects
- states - Variable in class org.nd4j.autodiff.samediff.flow.FlowPath
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.AdaDelta
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.AdaGrad
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.Adam
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.AdaMax
-
- stateSize(long) - Method in interface org.nd4j.linalg.learning.config.IUpdater
-
Determine the updater state size for the given number of parameters.
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.Nadam
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.Nesterovs
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.NoOp
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.RmsProp
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.Sgd
-
- stateSizeForInputSize(int) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- status - Variable in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- STATUS_FIELD_NUMBER - Static variable in class onnx.OnnxOperatorsProto3.OperatorProto
-
- stbmv(char, char, char, char, int, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- stbsv(char, char, char, char, int, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- std(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- std(int...) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- std(int...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- std(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Standard deviation of an ndarray along a dimension
- std(boolean, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- std(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- std(boolean, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- std(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Standard deviation of an INDArray along one or more dimensions
- std(boolean, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Standard deviation of an ndarray along a dimension
- std(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- std(IComplexNDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- std(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- std(IComplexNDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- stdComplex() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- stdComplex() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- stdComplex() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- stdComplex() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- stdNumber() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- stdNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- stdNumber(boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- stdNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- stdNumber(boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- stdNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Calculate the standard deviation for the entire array
- stdNumber(boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Calculate the standard deviation for the entire array, specifying whether it is bias corrected or not
- Step - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Unit step function.
- Step(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- Step(SameDiff, SDVariable, int[], boolean, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- Step(SameDiff, SDVariable, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- Step() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- Step(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- Step(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- Step(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- Step(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- Step(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- Step(INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- Step(INDArray, INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- Step(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- step(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- step(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawAllocation
-
- STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawDeallocation
-
- STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogStep
-
- STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogTensorAllocation
-
- STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogTensorOutput
-
- StepSchedule - Class in org.nd4j.linalg.schedule
-
Step decay schedule, with 3 parameters: initial value, gamma and step.
value(i) = initialValue * gamma^( floor(iter/step) )
where i is the iteration or epoch (depending on the setting)
- StepSchedule(ScheduleType, double, double, double) - Constructor for class org.nd4j.linalg.schedule.StepSchedule
-
- stepsCount - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- stepsNumber - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- StepStats - Class in org.tensorflow.framework
-
Protobuf type tensorflow.StepStats
- StepStats.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.StepStats
- StepStatsOrBuilder - Interface in org.tensorflow.framework
-
- StepStatsProtos - Class in org.tensorflow.framework
-
- store(T, INDArray) - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
Store object into storage
- store(T, float[]) - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
Store object into storage
- store(T, double[]) - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
Store object into storage
- storeAndAllocateNewArray() - Method in class org.nd4j.autodiff.samediff.SDVariable
-
Allocate and return a new array
based on the vertex id and weight initialization.
- storeIfAbsent(T, INDArray) - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
Store object into storage, if it doesn't exist
- stpmv(char, char, char, char, int, INDArray, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- stpsv(char, char, char, char, int, INDArray, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- strategy - Variable in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
- strategy - Variable in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- STRICT - Static variable in class org.nd4j.graph.ExecutionMode
-
- stride(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- stride() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the stride(indices along the linear index for which each slice is accessed) of this array
- stride - Variable in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- stride(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- stride() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- stride(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Calculate the stride along a particular dimension
- stride() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the stride of this ndarray
- stride(IntBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the stride of the specified dimension
- stride(DataBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the stride of the specified dimension
- stride(int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- stride(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the stride for the given
shape information buffer
- stride(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the shape from
the given int buffer
- stride(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- stride() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
-
The stride for the index (most of the time will be 1)
- stride(INDArray, INDArrayIndex[], int...) - Static method in class org.nd4j.linalg.indexing.Indices
-
Return the stride to be used for indexing
- stride - Variable in class org.nd4j.linalg.indexing.IntervalIndex
-
- stride() - Method in class org.nd4j.linalg.indexing.IntervalIndex
-
- stride() - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- stride() - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
-
- stride() - Method in class org.nd4j.linalg.indexing.NewAxis
-
- stride() - Method in class org.nd4j.linalg.indexing.PointIndex
-
- stride() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- strideArr(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get array shape from the buffer, as an int[]
- strideDescendingCAscendingF(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Check if strides are in order suitable for non-strided mmul etc.
- stridedSlice(SDVariable, int[], int[], int[]) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- stridedSlice(SDVariable, int[], int[], int[], int, int, int, int, int) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- stridedSlice(SDVariable, int[], int[], int[]) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- stridedSlice(String, SDVariable, int[], int[], int[]) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- stridedSlice(SDVariable, int[], int[], int[], int, int, int, int, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- stridedSlice(String, SDVariable, int[], int[], int[], int, int, int, int, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- StridedSlice - Class in org.nd4j.linalg.api.ops.impl.shape
-
Strided Slice function
- StridedSlice() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.StridedSlice
-
- StridedSlice(SameDiff, SDVariable, int[], int[], int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.StridedSlice
-
- StridedSlice(SameDiff, SDVariable, int[], int[], int[], int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.StridedSlice
-
- strideOf() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- strideOf() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- strides(char, NDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices
-
Calculate the strides based on the given indices
- stridesOf(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- strideUnsafe(DataBuffer, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the stride of the specified dimension, without any input validation
- strideUnsafe(int[], int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- STRING_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TensorProto
-
- STRING_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.TensorProto
-
- STRING_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto
-
- STRING_VALUE - Static variable in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
-
STRING = 3;
- STRING_VALUE - Static variable in enum onnx.OnnxMlProto3.TensorProto.DataType
-
string
- STRING_VALUE - Static variable in enum onnx.OnnxProto3.AttributeProto.AttributeType
-
STRING = 3;
- STRING_VALUE - Static variable in enum onnx.OnnxProto3.TensorProto.DataType
-
string
- StringAggregator - Class in org.nd4j.linalg.profiler.data
-
- StringAggregator() - Constructor for class org.nd4j.linalg.profiler.data.StringAggregator
-
- StringCounter - Class in org.nd4j.linalg.profiler.data
-
Simple key-value counter
- StringCounter() - Constructor for class org.nd4j.linalg.profiler.data.StringCounter
-
- StringEqualsAdapter - Class in org.nd4j.imports.descriptors.properties.adapters
-
Comparison for whether a string equals a target string
returning a boolean
- StringEqualsAdapter() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.StringEqualsAdapter
-
- STRINGS_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.AttributeProto
-
- STRINGS_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.AttributeProto
-
- STRINGS_VALUE - Static variable in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
-
STRINGS = 8;
- STRINGS_VALUE - Static variable in enum onnx.OnnxProto3.AttributeProto.AttributeType
-
STRINGS = 8;
- STRINGULAR - Static variable in class org.nd4j.graph.InputType
-
- STRINGULAR_SET - Static variable in class org.nd4j.graph.InputType
-
- stripOnes(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Reshapes an ndarray to remove leading 1s
- strmm(char, char, char, char, char, int, int, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- strmv(char, char, char, char, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- strsm(char, char, char, char, char, int, int, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- strsv(char, char, char, char, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sub(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sub(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sub(double) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- sub(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- sub(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- sub(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- sub(Number, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- sub(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- sub(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
copy subtraction of two matrices
- sub(INDArray, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
copy subtraction of two matrices
- sub(IComplexNumber, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- sub(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- sub(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- sub(IComplexNumber, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- sub(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- sub(Number, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- sub(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- sub(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
copy subtraction of two matrices
- sub(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
copy subtraction of two matrices
- sub(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sub(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
copy subtraction of two matrices
- sub(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
copy subtraction of two matrices
- sub(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sub(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sub(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sub(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sub(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sub(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sub(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sub(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sub(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sub(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Scalar subtraction (copied)
- sub(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- sub(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
copy subtraction of two NDArrays
- sub(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
copy subtraction of two NDArrays
- sub(IComplexNumber) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- sub(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- sub(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
-
Broadcast subtraction op.
- sub2Ind(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Convert the given index (such as 1,1)
to a linear index
- subArray(long[], int[], int[]) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- subArray(ShapeOffsetResolution) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- subArray(long[], int[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- subArray(ShapeOffsetResolution) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- subArray(long[], int[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- subArray(ShapeOffsetResolution) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- subArray(ShapeOffsetResolution, ShapeOffsetResolution) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- subArray(long[], int[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
-
- subArray(ShapeOffsetResolution) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
- subArray(long[], int[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
-
- subArray(ShapeOffsetResolution) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Sub array based on the
pre calculated shape,strides, offsets
- subArray(long[], int[], int[]) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- subBp(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- SubBpOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp
-
Division backprop operation.
- SubBpOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp.SubBpOp
-
- SubBpOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp.SubBpOp
-
- subColumnVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- subColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- subColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- subColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- subColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Subtraction of a column vector (copy)
- subi(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- subi(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- subi(double) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- subi(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- subi(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- subi(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
-
- subi(Number, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- subi(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- subi(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
in place subtraction of two matrices
- subi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
in place subtraction of two matrices
- subi(IComplexNumber, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- subi(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- subi(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- subi(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- subi(IComplexNumber, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- subi(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- subi(Number, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- subi(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- subi(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
in place subtraction of two matrices
- subi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
in place subtraction of two matrices
- subi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- subi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
in place subtraction of two matrices
- subi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
in place subtraction of two matrices
- subi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- subi(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- subi(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- subi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- subi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- subi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- subi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- subi(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- subi(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- subi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place scalar subtraction
- subi(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place subtraction of this ndarray
- subi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
in place (element wise) subtraction of two NDArrays
- subi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
in place (element wise) subtraction of two NDArrays
- subi(IComplexNumber) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- subi(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- subiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- subiColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- subiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- subiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- subiColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place subtraction of a column vector
- subiRowVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- subiRowVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- subiRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- subiRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- subiRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place subtraction of a row vector
- subList(int, int) - Method in class org.nd4j.list.NDArrayList
-
- subModules() - Method in class org.nd4j.linalg.api.ops.BaseModule
-
- subModules() - Method in interface org.nd4j.linalg.api.ops.Module
-
- SubOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic
-
Subtraction operation
- SubOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.SubOp
-
- SubOp(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.SubOp
-
- SubOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.SubOp
-
- subRowVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- subRowVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- subRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- subRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- subRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Subtraction of a row vector (copy)
- sum(SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- sum(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- sum(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- sum(int...) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- sum(int...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns the sum along the last dimension of this ndarray
- sum(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the sum along the last dimension of this ndarray
- sum(INDArray, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sum(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sum(INDArray, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sum(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the sum along the last dimension of this ndarray
- sum(INDArray, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the sum along the last dimension of this ndarray
- Sum - Class in org.nd4j.linalg.api.ops.impl.accum
-
Sum the components
- Sum(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Sum
-
- Sum(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Sum
-
- Sum() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Sum
-
- Sum(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Sum
-
- Sum(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Sum
-
- Sum(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Sum
-
- Sum(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Sum
-
- Sum(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Sum
-
- sum(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- sum(IComplexNDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- sum(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- sum(IComplexNDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- SUM_FIELD_NUMBER - Static variable in class org.tensorflow.framework.HistogramProto
-
- SUM_SQUARES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.HistogramProto
-
- sumComplex() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- sumComplex() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sumComplex() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sumComplex() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Sum the entire array
- Summary - Class in org.tensorflow.framework
-
A Summary is a set of named values to be displayed by the
visualizer.
- Summary.Audio - Class in org.tensorflow.framework
-
Protobuf type tensorflow.Summary.Audio
- Summary.Audio.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.Summary.Audio
- Summary.AudioOrBuilder - Interface in org.tensorflow.framework
-
- Summary.Builder - Class in org.tensorflow.framework
-
A Summary is a set of named values to be displayed by the
visualizer.
- Summary.Image - Class in org.tensorflow.framework
-
Protobuf type tensorflow.Summary.Image
- Summary.Image.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.Summary.Image
- Summary.ImageOrBuilder - Interface in org.tensorflow.framework
-
- Summary.Value - Class in org.tensorflow.framework
-
Protobuf type tensorflow.Summary.Value
- Summary.Value.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.Summary.Value
- Summary.Value.ValueCase - Enum in org.tensorflow.framework
-
- Summary.ValueOrBuilder - Interface in org.tensorflow.framework
-
- SUMMARY_DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.SummaryMetadata
-
- SUMMARY_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef
-
- SUMMARY_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef
-
- SummaryDescription - Class in org.tensorflow.framework
-
Metadata associated with a series of Summary data
- SummaryDescription.Builder - Class in org.tensorflow.framework
-
Metadata associated with a series of Summary data
- SummaryDescriptionOrBuilder - Interface in org.tensorflow.framework
-
- SummaryMetadata - Class in org.tensorflow.framework
-
A SummaryMetadata encapsulates information on which plugins are able to make
use of a certain summary value.
- SummaryMetadata.Builder - Class in org.tensorflow.framework
-
A SummaryMetadata encapsulates information on which plugins are able to make
use of a certain summary value.
- SummaryMetadata.PluginData - Class in org.tensorflow.framework
-
Protobuf type tensorflow.SummaryMetadata.PluginData
- SummaryMetadata.PluginData.Builder - Class in org.tensorflow.framework
-
Protobuf type tensorflow.SummaryMetadata.PluginData
- SummaryMetadata.PluginDataOrBuilder - Interface in org.tensorflow.framework
-
- SummaryMetadataOrBuilder - Interface in org.tensorflow.framework
-
- SummaryOrBuilder - Interface in org.tensorflow.framework
-
- SummaryProtos - Class in org.tensorflow.framework
-
- SUMMARYSTATS - Static variable in class org.nd4j.graph.OpType
-
- sumNumber() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- sumNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sumNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- sumNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Sum the entire array
- supportsDataBufferL1Ops() - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- supportsDataBufferL1Ops() - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- supportsDataBufferL1Ops() - Method in interface org.nd4j.linalg.api.blas.Level1
-
Can we use the axpy and copy methods that take a DataBuffer instead of an INDArray with this backend?
- swap(INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
swaps a vector with another vector.
- swap(IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- swap(INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- swap(IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
-
- swap(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
swaps a vector with another vector.
- swap(IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
- swap(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- swap(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- swap(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute x <-> y (swap two matrices)
- swapAxes(int, int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Mainly here for people coming from numpy.
- swapAxes(int, int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Mainly here for people coming from numpy.
- swapAxes(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Mainly here for people coming from numpy.
- swapAxes(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
-
- swapAxes(int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Mainly here for people coming from numpy.
- swish(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- swish(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- swish(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
-
- Swish - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Swish function
- Swish(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Swish
-
- Swish(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Swish
-
- Swish(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Swish
-
- Swish() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Swish
-
- Swish(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Swish
-
- Swish(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Swish
-
- Swish(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Swish
-
- Swish(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Swish
-
- Swish(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Swish
-
- swishDerivative(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
-
- SwishDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Swish derivative
- SwishDerivative(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SwishDerivative
-
- SwishDerivative(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SwishDerivative
-
- SwishDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SwishDerivative
-
- SwishDerivative(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SwishDerivative
-
- SwishDerivative(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SwishDerivative
-
- SwishDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SwishDerivative
-
- SwishDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SwishDerivative
-
- SwishDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SwishDerivative
-
- SwishDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SwishDerivative
-
- SwishDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SwishDerivative
-
- Switch - Class in org.nd4j.linalg.api.ops.impl.controlflow.compat
-
- Switch() - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch
-
- syev(char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- syev(char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLapack
-
- syev(char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
Caclulate the eigenvalues and vectors of a symmetric matrix.
- syev(char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- syev(char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- syev(char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- syevd(char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- syevd(char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- syevd(char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- syevr(char, char, char, INDArray, float, float, int, int, Number, INDArray, INDArray, int[]) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- syevr(char, char, char, INDArray, double, double, int, int, double, INDArray, INDArray, int[]) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- syevr(char, char, char, INDArray, float, float, int, int, float, INDArray, INDArray, int[]) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- syevr(char, char, char, INDArray, double, double, int, int, double, INDArray, INDArray, int[]) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- syevr(char, char, char, INDArray, float, float, int, int, float, INDArray, INDArray, int[]) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- syevr(char, char, char, INDArray, float, float, int, int, Number, INDArray, INDArray, int[]) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- syevr(char, char, char, INDArray, double, double, int, int, double, INDArray, INDArray, int[]) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- syevr(char, char, char, INDArray, float, float, int, int, float, INDArray, INDArray, int[]) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- syevr(char, char, char, INDArray, float, float, int, int, Number, INDArray, INDArray, int[]) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- syevx(char, char, char, INDArray, double, double, int, int, double, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- syevx(char, char, char, INDArray, float, float, int, int, float, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- syevx(char, char, char, INDArray, double, double, int, int, double, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- syevx(char, char, char, INDArray, float, float, int, int, float, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- syevx(char, char, char, INDArray, double, double, int, int, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- syevx(char, char, char, INDArray, float, float, int, int, float, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- sygvd(int, char, char, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- sygvd(int, char, char, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
-
- sygvd(int, char, char, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- symm(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
her2k performs a rank-2k update of an n-by-n Hermitian matrix c, that is, one of the following operations:
c := alpha*a*conjg(b') + conjg(alpha)*b*conjg(a') + beta*c, for trans = 'N'or'n'
c := alpha*conjg(b')*a + conjg(alpha)*conjg(a')*b + beta*c, for trans = 'C'or'c'
where c is an n-by-n Hermitian matrix;
a and b are n-by-k matrices if trans = 'N'or'n',
a and b are k-by-n matrices if trans = 'C'or'c'.
- symm(char, char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
her2k performs a rank-2k update of an n-by-n Hermitian matrix c, that is, one of the following operations:
c := alpha*a*conjg(b') + conjg(alpha)*b*conjg(a') + beta*c, for trans = 'N'or'n'
c := alpha*conjg(b')*a + conjg(alpha)*conjg(a')*b + beta*c, for trans = 'C'or'c'
where c is an n-by-n Hermitian matrix;
a and b are n-by-k matrices if trans = 'N'or'n',
a and b are k-by-n matrices if trans = 'C'or'c'.
- symm(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel3
-
- symm(char, char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel3
-
- symm(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
-
her2k performs a rank-2k update of an n-by-n Hermitian matrix c, that is, one of the following operations:
c := alpha*a*conjg(b') + conjg(alpha)*b*conjg(a') + beta*c, for trans = 'N'or'n'
c := alpha*conjg(b')*a + conjg(alpha)*conjg(a')*b + beta*c, for trans = 'C'or'c'
where c is an n-by-n Hermitian matrix;
a and b are n-by-k matrices if trans = 'N'or'n',
a and b are k-by-n matrices if trans = 'C'or'c'.
- symm(char, char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
-
her2k performs a rank-2k update of an n-by-n Hermitian matrix c, that is, one of the following operations:
c := alpha*a*conjg(b') + conjg(alpha)*b*conjg(a') + beta*c, for trans = 'N'or'n'
c := alpha*conjg(b')*a + conjg(alpha)*conjg(a')*b + beta*c, for trans = 'C'or'c'
where c is an n-by-n Hermitian matrix;
a and b are n-by-k matrices if trans = 'N'or'n',
a and b are k-by-n matrices if trans = 'C'or'c'.
- symmetricGeneralizedEigenvalues(INDArray) - Static method in class org.nd4j.linalg.eigen.Eigen
-
Compute generalized eigenvalues of the problem A x = L x.
- symmetricGeneralizedEigenvalues(INDArray, boolean) - Static method in class org.nd4j.linalg.eigen.Eigen
-
Compute generalized eigenvalues of the problem A x = L x.
- symmetricGeneralizedEigenvalues(INDArray, INDArray) - Static method in class org.nd4j.linalg.eigen.Eigen
-
Compute generalized eigenvalues of the problem A x = L B x.
- symmetricGeneralizedEigenvalues(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.eigen.Eigen
-
Compute generalized eigenvalues of the problem A x = L B x.
- symv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
symv computes a matrix-vector product for a symmetric matrix:
y := alpha*a*x + beta*y.
- symv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- symv(char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
symv computes a matrix-vector product for a symmetric matrix:
y := alpha*a*x + beta*y.
- syr(char, char, int, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
syr performs a rank-1 update of an n-by-n symmetric matrix a:
a := alpha*x*x' + a.
- syr(char, char, int, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- syr(char, char, int, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
syr performs a rank-1 update of an n-by-n symmetric matrix a:
a := alpha*x*x' + a.
- syr2(char, char, double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- syr2(char, char, double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
-
- syr2(char, char, double, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
- syr2k(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
yr2k performs a rank-2k update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*b' + alpha*b*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*b + alpha*b'*a + beta*c for trans = 'T'or't',
where c is an n-by-n symmetric matrix;
a and b are n-by-k matrices, if trans = 'N'or'n',
a and b are k-by-n matrices, if trans = 'T'or't'.
- syr2k(char, char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
yr2k performs a rank-2k update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*b' + alpha*b*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*b + alpha*b'*a + beta*c for trans = 'T'or't',
where c is an n-by-n symmetric matrix;
a and b are n-by-k matrices, if trans = 'N'or'n',
a and b are k-by-n matrices, if trans = 'T'or't'.
- syr2k(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel3
-
- syr2k(char, char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel3
-
- syr2k(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
-
yr2k performs a rank-2k update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*b' + alpha*b*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*b + alpha*b'*a + beta*c for trans = 'T'or't',
where c is an n-by-n symmetric matrix;
a and b are n-by-k matrices, if trans = 'N'or'n',
a and b are k-by-n matrices, if trans = 'T'or't'.
- syr2k(char, char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
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yr2k performs a rank-2k update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*b' + alpha*b*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*b + alpha*b'*a + beta*c for trans = 'T'or't',
where c is an n-by-n symmetric matrix;
a and b are n-by-k matrices, if trans = 'N'or'n',
a and b are k-by-n matrices, if trans = 'T'or't'.
- syrk(char, char, char, double, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
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syrk performs a rank-n update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*a + beta*c for trans = 'T'or't','C'or'c',
where c is an n-by-n symmetric matrix;
a is an n-by-k matrix, if trans = 'N'or'n',
a is a k-by-n matrix, if trans = 'T'or't','C'or'c'.
- syrk(char, char, char, IComplexNumber, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
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syrk performs a rank-n update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*a + beta*c for trans = 'T'or't','C'or'c',
where c is an n-by-n symmetric matrix;
a is an n-by-k matrix, if trans = 'N'or'n',
a is a k-by-n matrix, if trans = 'T'or't','C'or'c'.
- syrk(char, char, char, double, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel3
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- syrk(char, char, char, IComplexNumber, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel3
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- syrk(char, char, char, double, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
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syrk performs a rank-n update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*a + beta*c for trans = 'T'or't','C'or'c',
where c is an n-by-n symmetric matrix;
a is an n-by-k matrix, if trans = 'N'or'n',
a is a k-by-n matrix, if trans = 'T'or't','C'or'c'.
- syrk(char, char, char, IComplexNumber, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
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syrk performs a rank-n update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*a + beta*c for trans = 'T'or't','C'or'c',
where c is an n-by-n symmetric matrix;
a is an n-by-k matrix, if trans = 'N'or'n',
a is a k-by-n matrix, if trans = 'T'or't','C'or'c'.
- sysv(char, INDArray, int[], INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
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- sysv(char, INDArray, int[], INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
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- sysv(char, INDArray, int[], INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
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