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A

a(int) - Method in class org.nd4j.graph.FlatProperties
 
a(FlatArray, int) - Method in class org.nd4j.graph.FlatProperties
 
ABORTED_VALUE - Static variable in enum org.tensorflow.framework.Code
The operation was aborted, typically due to a concurrency issue like sequencer check failures, transaction aborts, etc.
abs(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise absolute value operation: out = abs(x)
abs(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise absolute value operation: out = abs(x)
Abs - Class in org.nd4j.linalg.api.ops.impl.transforms.same
Abs elementwise function
Abs(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Abs
 
Abs(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Abs
 
Abs(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Abs
 
Abs(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Abs
 
abs(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath
Elementwise absolute value operation: out = abs(x)
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
absGreaterThan() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
This method will create Condition that checks if value is value X is greater than value Y in absolute values PLEASE NOTE: This condition should be used only with pairwise methods, i.e.
absGreaterThan(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
This method will create Condition that checks if value is value X is greater than value Y in absolute values
absGreaterThanOrEqual() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
This method will create Condition that checks if value is value X is greater than or equal to value Y in absolute values PLEASE NOTE: This condition should be used only with pairwise methods, i.e.
absGreaterThanOrEqual(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
This method will create Condition that checks if value is value X is greater than or equal to value Y in absolute values
absLessThan() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
This method will create Condition that checks if value is value X is less than value Y in absolute values PLEASE NOTE: This condition should be used only with pairwise methods, i.e.
absLessThan(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
This method will create Condition that checks if value is value X is less than value Y in absolute values
absLessThanOrEqual() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
This method will create Condition that checks if value is value X is less than or equal to value Y in absolute values PLEASE NOTE: This condition should be used only with pairwise methods, i.e.
absLessThanOrEqual(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
This method will create Condition that checks if value is value X is less than or equal to value Y in absolute values
absoluteDifference(SDVariable, SDVariable, SDVariable, LossReduce) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss
Absolute difference loss: sum_i abs( label[i] - predictions[i] )
absoluteDifference(String, SDVariable, SDVariable, SDVariable, LossReduce) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss
Absolute difference loss: sum_i abs( label[i] - predictions[i] )
absoluteDifference(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss
Absolute difference loss: sum_i abs( label[i] - predictions[i] )
absoluteDifference(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss
Absolute difference loss: sum_i abs( label[i] - predictions[i] )
absoluteDifference(INDArray, INDArray, INDArray, LossReduce) - Method in class org.nd4j.linalg.factory.ops.NDLoss
Absolute difference loss: sum_i abs( label[i] - predictions[i] )
absoluteDifference(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDLoss
Absolute difference loss: sum_i abs( label[i] - predictions[i] )
AbsoluteDifferenceLoss - Class in org.nd4j.linalg.api.ops.impl.loss
Absolute difference loss
AbsoluteDifferenceLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.AbsoluteDifferenceLoss
 
AbsoluteDifferenceLoss(SameDiff, SDVariable, SDVariable, SDVariable, LossReduce) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.AbsoluteDifferenceLoss
 
AbsoluteDifferenceLoss(INDArray, INDArray, INDArray, LossReduce) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.AbsoluteDifferenceLoss
 
AbsoluteDifferenceLoss() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.AbsoluteDifferenceLoss
 
AbsoluteDifferenceLossBp - Class in org.nd4j.linalg.api.ops.impl.loss.bp
Absolute difference loss backprop
AbsoluteDifferenceLossBp(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.AbsoluteDifferenceLossBp
 
AbsoluteDifferenceLossBp() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.AbsoluteDifferenceLossBp
 
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
 
AbstractDependencyTracker<T,D> - Class in org.nd4j.autodiff.samediff.internal
Object dependency tracker.
AbstractDependencyTracker() - Constructor for class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker
 
AbstractMemoryMgr - Class in org.nd4j.autodiff.samediff.internal.memory
Abstract memory manager, that implements ulike and dup methods using the underlying allocate methods
AbstractMemoryMgr() - Constructor for class org.nd4j.autodiff.samediff.internal.memory.AbstractMemoryMgr
 
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
 
AbstractSession<T,O> - Class in org.nd4j.autodiff.samediff.internal
AbstractSession is a SameDiff graph execution class that inference and training it built upon It walks through the graph, dynamically executing operations that can be executed next, but (again, dynamically) only executing the subset of the graph that is actually required to get the requested outputs.
None of what AbstractSession implements is NDArray-specific.
Note that most of the implementation complexity comes from dynamic graphs - i.e., nested loops, control ops, etc
AbstractSession(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.internal.AbstractSession
 
AbstractSession.ExecStep - Class in org.nd4j.autodiff.samediff.internal
ExecStep represents a single execution step, for a single op (or variable/constant etc) at a specific frame/iteration
AbstractSession.ExecStepPredicate - Class in org.nd4j.autodiff.samediff.internal
Used in getting the next ExecStep that matches the specified (current) frame/iteration
AbstractSession.ExecType - Enum in org.nd4j.autodiff.samediff.internal
ExecType: Execution type, as used in ExecStep
OP: Operation execution
VARIABLE: Variable "execution", mainly used to trigger ops that depend on the variable
CONSTANT: As per variable
PLACEHOLDER: As per variable
SWITCH_L and SWITCH_R: This is a bit of a hack to account for the fact that only one of the switch branches (left or right) will ever be available; without this, once the switch op is executed, we'll (incorrectly) conclude that *both* branches can be executed
EXEC_START: Start of execution
CONTROL_DEP: Control dependency for op.
AbstractSession.VarId - Class in org.nd4j.autodiff.samediff.internal
VarId: identifies the value of a variable in a specific frame and frame iteration
Note that frames can be nested - which generally represents nested loop situations.
Used for 2 places:
(a) to identify variables that are available for execution
(b) to store results
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(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
accuracy() - Method in class org.nd4j.evaluation.classification.Evaluation
Accuracy: (TP + TN) / (P + N)
accuracy(int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary
Get the accuracy for the specified output
acos(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise acos (arccosine, inverse cosine) operation: out = arccos(x)
acos(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise acos (arccosine, inverse cosine) operation: out = arccos(x)
ACos - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
Log elementwise function
ACos(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACos
 
ACos(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACos
 
ACos(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACos
 
ACos(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACos
 
acos(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath
Elementwise acos (arccosine, inverse cosine) operation: out = arccos(x)
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
 
acosh(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise acosh (inverse hyperbolic cosine) function: out = acosh(x)
acosh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise acosh (inverse hyperbolic cosine) function: out = acosh(x)
ACosh - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
ACosh elementwise function
ACosh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACosh
 
ACosh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACosh
 
ACosh(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACosh
 
ACosh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACosh
 
acosh(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath
Elementwise acosh (inverse hyperbolic cosine) function: out = acosh(x)
ActGradConfig() - Constructor for class org.nd4j.autodiff.validation.GradCheckUtil.ActGradConfig
 
Activation - Enum in org.nd4j.linalg.activations
This enum is the factory for the activation function.
activationAvailable(SameDiff, At, MultiDataSet, SameDiffOp, String, INDArray) - Method in class org.nd4j.autodiff.listeners.BaseEvaluationListener
 
activationAvailable(SameDiff, At, MultiDataSet, SameDiffOp, String, INDArray) - Method in class org.nd4j.autodiff.listeners.BaseListener
 
activationAvailable(SameDiff, At, MultiDataSet, SameDiffOp, String, INDArray) - Method in interface org.nd4j.autodiff.listeners.Listener
Called when any activation becomes available.
activationAvailableEvaluations(SameDiff, At, MultiDataSet, SameDiffOp, String, INDArray) - Method in class org.nd4j.autodiff.listeners.BaseEvaluationListener
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
 
ActivationGELU - Class in org.nd4j.linalg.activations.impl
GELU activation function - Gaussian Error Linear Units
ActivationGELU(boolean) - Constructor for class org.nd4j.linalg.activations.impl.ActivationGELU
 
ActivationGELU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationGELU
 
ActivationGradientCheckListener - Class in org.nd4j.autodiff.validation
A listener used for debugging and testing purposes - specifically for gradient checking activations internally in GradCheckUtil.
ActivationGradientCheckListener() - Constructor for class org.nd4j.autodiff.validation.ActivationGradientCheckListener
 
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
 
ActivationMish - Class in org.nd4j.linalg.activations.impl
https://arxiv.org/ftp/arxiv/papers/1908/1908.08681.pdf
ActivationMish() - Constructor for class org.nd4j.linalg.activations.impl.ActivationMish
 
ActivationPReLU - Class in org.nd4j.linalg.activations.impl
/** Parametrized Rectified Linear Unit (PReLU) f(x) = alpha * x for x < 0, f(x) = x for x >= 0 alpha has the same shape as x and is a learned parameter.
ActivationPReLU(INDArray, long[]) - Constructor for class org.nd4j.linalg.activations.impl.ActivationPReLU
 
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
 
ActivationReLU(Double, Double, Double) - Constructor for class org.nd4j.linalg.activations.impl.ActivationReLU
 
ActivationReLU6 - Class in org.nd4j.linalg.activations.impl
f(x) = min(max(input, cutoff), 6)
ActivationReLU6() - Constructor for class org.nd4j.linalg.activations.impl.ActivationReLU6
 
ActivationRReLU - Class in org.nd4j.linalg.activations.impl
f(x) = max(0,x) + alpha * min(0, x) alpha is drawn from uniform(l,u) during training and is set to l+u/2 during test l and u default to 1/8 and 1/3 respectively Empirical Evaluation of Rectified Activations in Convolutional Network
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
 
ActivationThresholdedReLU - Class in org.nd4j.linalg.activations.impl
Thresholded RELU f(x) = x for x > theta, f(x) = 0 otherwise.
ActivationThresholdedReLU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationThresholdedReLU
 
ActivationThresholdedReLU(double) - Constructor for class org.nd4j.linalg.activations.impl.ActivationThresholdedReLU
 
AdaDelta - Class in org.nd4j.linalg.learning.config
https://www.matthewzeiler.com/mattzeiler/adadelta.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.api.ops.impl.updaters
 
AdaDeltaUpdater() - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdaDeltaUpdater
 
AdaDeltaUpdater(INDArray, INDArray, INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdaDeltaUpdater
 
AdaDeltaUpdater(INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdaDeltaUpdater
 
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(long[], 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.api.ops.impl.updaters
 
AdaGradUpdater() - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdaGradUpdater
 
AdaGradUpdater(INDArray, INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdaGradUpdater
 
AdaGradUpdater(INDArray, INDArray, INDArray, INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdaGradUpdater
 
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.api.ops.impl.updaters
 
AdaMaxUpdater() - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdaMaxUpdater
 
AdaMaxUpdater(INDArray, INDArray, INDArray, double, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdaMaxUpdater
 
AdaMaxUpdater(INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, double, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdaMaxUpdater
 
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.api.ops.impl.updaters
 
AdamUpdater() - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdamUpdater
 
AdamUpdater(INDArray, INDArray, INDArray, double, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdamUpdater
 
AdamUpdater(INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, double, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AdamUpdater
 
AdamUpdater - Class in org.nd4j.linalg.learning
The Adam updater.
AdamUpdater(Adam) - Constructor for class org.nd4j.linalg.learning.AdamUpdater
 
add(Loss, Loss) - Static method in class org.nd4j.autodiff.listeners.Loss
 
add(Loss) - Method in class org.nd4j.autodiff.listeners.Loss
 
add(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Pairwise addition operation, out = x + y
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
add(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Pairwise addition operation, out = x + y
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
add(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Scalar add operation, out = in + scalar
add(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Scalar add operation, out = in + scalar
add(double) - Method in class org.nd4j.autodiff.samediff.SDVariable
add(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable
Scalar addition: out = this + scalar
Output variable has the same shape as the input variable
add(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
add(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
Addition operation: elementwise this + x
If this and x variables have equal shape, the output shape is the same as the inputs.
Supports broadcasting: if this and x have different shapes and are broadcastable, the output shape is broadcast.
add(T, T) - Method in class org.nd4j.evaluation.classification.ConfusionMatrix
Increments the entry specified by actual and predicted by one.
add(T, T, int) - Method in class org.nd4j.evaluation.classification.ConfusionMatrix
Increments the entry specified by actual and predicted by count.
add(ConfusionMatrix<T>) - Method in class org.nd4j.evaluation.classification.ConfusionMatrix
Adds the entries from another confusion matrix to this one.
add(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
add(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
add(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
add(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
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
Addition of this ndarray.
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(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(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath
Pairwise addition operation, out = x + y
Note: supports broadcasting if x and y have different shapes and are broadcastable.
For example, if X has shape [1,10] and Y has shape [5,10] then op(X,Y) has output shape [5,10]
Broadcast rules are the same as NumPy: https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
add(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDMath
Scalar add operation, out = in + scalar
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(Double) - Method in class org.nd4j.list.NDArrayList
 
add(int, Double) - Method in class org.nd4j.list.NDArrayList
 
ADD_NAME - Static variable in class org.nd4j.graph.UIEventType
 
addA(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
 
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 Double>) - Method in class org.nd4j.list.NDArrayList
 
addAll(int, Collection<? extends Double>) - Method in class org.nd4j.list.NDArrayList
 
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.
addAllAssetFileDef(Iterable<? extends AssetFileDef>) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
Asset file def to be used with the defined graph.
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;
addAllAttribute(Iterable<? extends Onnx.AttributeProto>) - Method in class onnx.Onnx.NodeProto.Builder
Additional named attributes.
addAllAttribute(Iterable<? extends OnnxMl.AttributeProto>) - Method in class onnx.OnnxMl.NodeProto.Builder
Additional named attributes.
addAllAttributes(Iterable<? extends CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor>) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Serialized data specific to this object.
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.
addAllChildren(Iterable<? extends CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference>) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Objects which this object depends on.
addAllConstNodeInfo(Iterable<? extends GraphTransferConstNodeInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addAllConstraint(Iterable<? extends KernelDef.AttrConstraint>) - Method in class org.tensorflow.framework.KernelDef.Builder
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addAllContainer(Iterable<String>) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
A list of container names.
addAllContainer(Iterable<String>) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
A list of container names, which may be empty.
addAllControlInput(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
Ids of the control inputs for this node.
addAllControlOpIds(Iterable<? extends Long>) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
Control Operation IDs that will be respected when ops are re-ordered by async execution.
addAllCustomOptimizers(Iterable<? extends RewriterConfig.CustomGraphOptimizer>) - Method in class org.tensorflow.framework.RewriterConfig.Builder
list of CustomGraphOptimizers to apply.
addAllDcomplexVal(Iterable<? extends Double>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_COMPLEX128.
addAllDebugOps(Iterable<String>) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
Name(s) of the debugging op(s).
addAllDebugTensorWatchOpts(Iterable<? extends DebugTensorWatch>) - Method in class org.tensorflow.framework.DebugOptions.Builder
Debugging options
addAllDebugUrls(Iterable<String>) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
URL(s) for debug targets(s).
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
addAllDeviceAttributes(Iterable<? extends DeviceAttributes>) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
repeated .tensorflow.DeviceAttributes device_attributes = 1;
addAllDeviceAttributes(Iterable<? extends DeviceAttributes>) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
List of devices that are locally accessible to the worker.
addAllDeviceFilters(Iterable<String>) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
When any filters are present, only devices that match the filters will be reset.
addAllDeviceFilters(Iterable<String>) - Method in class org.tensorflow.framework.ConfigProto.Builder
When any filters are present sessions will ignore all devices which do not match the filters.
addAllDeviceName(Iterable<String>) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
repeated string device_name = 4;
addAllDeviceName(Iterable<String>) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
repeated string device_name = 5;
addAllDevicePersistentTensorAllocIds(Iterable<? extends Long>) - Method in class org.tensorflow.framework.MemoryStats.Builder
Deprecated.
addAllDevStats(Iterable<? extends DeviceStepStats>) - Method in class org.tensorflow.framework.StepStats.Builder
repeated .tensorflow.DeviceStepStats dev_stats = 1;
addAllDim(Iterable<? extends Onnx.TensorShapeProto.Dimension>) - Method in class onnx.Onnx.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addAllDim(Iterable<? extends OnnxMl.TensorShapeProto.Dimension>) - Method in class onnx.OnnxMl.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.Onnx.TensorProto.Builder
The shape of the tensor.
addAllDims(Iterable<? extends Long>) - Method in class onnx.OnnxMl.TensorProto.Builder
The shape of the tensor.
addAllDoubleData(Iterable<? extends Double>) - Method in class onnx.Onnx.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.OnnxMl.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.
addAllEnableOp(Iterable<String>) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
If present, only perform optimization for these ops.
addAllEndpoint(Iterable<? extends ApiDef.Endpoint>) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addAllEnqueueOpName(Iterable<String>) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
A list of enqueue operations.
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)"
addAllFeed(Iterable<String>) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
Tensors to be fed in future steps.
addAllFeed(Iterable<? extends TensorProto>) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
addAllFeed(Iterable<? extends NamedTensorProto>) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Tensors to be fed in the step.
addAllFeed(Iterable<String>) - Method in class org.tensorflow.framework.CallableOptions.Builder
Tensors to be fed in the callable.
addAllFetch(Iterable<String>) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
Fetches.
addAllFetch(Iterable<? extends TensorProto>) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
addAllFetch(Iterable<String>) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Fetches.
addAllFetch(Iterable<String>) - Method in class org.tensorflow.framework.CallableOptions.Builder
Fetches.
addAllFetchStepId(Iterable<? extends Long>) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
When set, requests all saved log data pertaining to the step.
addAllFloatData(Iterable<? extends Float>) - Method in class onnx.Onnx.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.OnnxMl.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.Onnx.AttributeProto.Builder
list of floats
addAllFloats(Iterable<? extends Float>) - Method in class onnx.OnnxMl.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 GraphTransferGraphInputNodeInfo>) - 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
addAllGraphKey(Iterable<? extends Long>) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder
repeated int64 graph_key = 1;
addAllGraphOutputNodeInfo(Iterable<? extends GraphTransferGraphOutputNodeInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferGraphOutputNodeInfo 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 Onnx.GraphProto>) - Method in class onnx.Onnx.AttributeProto.Builder
list of graph
addAllGraphs(Iterable<? extends OnnxMl.GraphProto>) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of graph
addAllHalfVal(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_HALF, DT_BFLOAT16.
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.
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 Onnx.TensorProto>) - Method in class onnx.Onnx.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 OnnxMl.TensorProto>) - Method in class onnx.OnnxMl.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 Onnx.ValueInfoProto>) - Method in class onnx.Onnx.GraphProto.Builder
The inputs and outputs of the graph.
addAllInput(Iterable<String>) - Method in class onnx.Onnx.NodeProto.Builder
namespace Value
addAllInput(Iterable<? extends OnnxMl.ValueInfoProto>) - Method in class onnx.OnnxMl.GraphProto.Builder
The inputs and outputs of the graph.
addAllInput(Iterable<String>) - Method in class onnx.OnnxMl.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;
addAllInputs(Iterable<? extends EagerServiceOuterClass.RemoteTensorHandle>) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
addAllInt32Data(Iterable<? extends Integer>) - Method in class onnx.Onnx.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.OnnxMl.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.Onnx.TensorProto.Builder
For int64.
addAllInt64Data(Iterable<? extends Long>) - Method in class onnx.OnnxMl.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.Onnx.AttributeProto.Builder
list of ints
addAllInts(Iterable<? extends Long>) - Method in class onnx.OnnxMl.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.
addAllJob(Iterable<? extends JobDef>) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
The jobs that comprise the cluster.
addAllKeys(Iterable<String>) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
Keys for tensors in the VariantTensorDataProto.
addAllLines(Iterable<String>) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
Line-by-line content of the source code file.
addAllLink(Iterable<? extends InterconnectLink>) - Method in class org.tensorflow.framework.LocalLinks.Builder
repeated .tensorflow.InterconnectLink link = 1;
addAllLocalDevice(Iterable<? extends DeviceAttributes>) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes local_device = 1;
addAllLoopEnterNames(Iterable<String>) - Method in class org.tensorflow.framework.WhileContextDef.Builder
List of names for enter tensors.
addAllLoopExitNames(Iterable<String>) - Method in class org.tensorflow.framework.WhileContextDef.Builder
List of names for exit tensors.
addAllMaxByteSize(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
repeated int32 max_byte_size = 2;
addAllMemory(Iterable<? extends AllocatorMemoryUsed>) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addAllMemoryLimitMb(Iterable<? extends Float>) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
Per "virtual" device memory limit, in MB.
addAllMetadataProps(Iterable<? extends Onnx.StringStringEntryProto>) - Method in class onnx.Onnx.ModelProto.Builder
Named metadata values; keys should be distinct.
addAllMetadataProps(Iterable<? extends OnnxMl.StringStringEntryProto>) - Method in class onnx.OnnxMl.ModelProto.Builder
Named metadata values; keys should be distinct.
addAllMetaGraphs(Iterable<? extends MetaGraphDef>) - Method in class org.tensorflow.framework.SavedModel.Builder
One or more MetaGraphs.
addAllNestedContexts(Iterable<? extends ControlFlowContextDef>) - Method in class org.tensorflow.framework.CondContextDef.Builder
Contexts contained inside this context (e.g.
addAllNestedContexts(Iterable<? extends ControlFlowContextDef>) - Method in class org.tensorflow.framework.WhileContextDef.Builder
Contexts contained inside this context (e.g.
addAllNode(Iterable<? extends Onnx.NodeProto>) - Method in class onnx.Onnx.GraphProto.Builder
The nodes in the graph.
addAllNode(Iterable<? extends OnnxMl.NodeProto>) - Method in class onnx.OnnxMl.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 GraphTransferNodeInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addAllNodeInput(Iterable<? extends GraphTransferNodeInput>) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addAllNodeInputInfo(Iterable<? extends GraphTransferNodeInputInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addAllNodeOutputInfo(Iterable<? extends GraphTransferNodeOutputInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addAllNodes(Iterable<? extends CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject>) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
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;
addAllOperator(Iterable<? extends OnnxOperators.OperatorProto>) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder
The operators specified by this operator set.
addAllOpId(Iterable<? extends Long>) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
Ids to wait on.
addAllOpsetImport(Iterable<? extends Onnx.OperatorSetIdProto>) - Method in class onnx.Onnx.ModelProto.Builder
The OperatorSets this model relies on.
addAllOpsetImport(Iterable<? extends OnnxMl.OperatorSetIdProto>) - Method in class onnx.OnnxMl.ModelProto.Builder
The OperatorSets this model relies on.
addAllOptimizers(Iterable<String>) - Method in class org.tensorflow.framework.RewriterConfig.Builder
If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
addAllOutArg(Iterable<? extends ApiDef.Arg>) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Arg out_arg = 5;
addAllOutput(Iterable<? extends Onnx.ValueInfoProto>) - Method in class onnx.Onnx.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addAllOutput(Iterable<String>) - Method in class onnx.Onnx.NodeProto.Builder
namespace Value
addAllOutput(Iterable<? extends OnnxMl.ValueInfoProto>) - Method in class onnx.OnnxMl.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addAllOutput(Iterable<String>) - Method in class onnx.OnnxMl.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;
addAllPartitionGraph(Iterable<? extends GraphDef>) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
repeated .tensorflow.GraphDef partition_graph = 4;
addAllPartitionGraphs(Iterable<? extends GraphDef>) - Method in class org.tensorflow.framework.RunMetadata.Builder
Graphs of the partitions executed by executors.
addAllPersistentTensorAllocIds(Iterable<? extends Long>) - Method in class org.tensorflow.framework.MemoryStats.Builder
repeated int64 persistent_tensor_alloc_ids = 5;
addAllQueue(Iterable<? extends EagerServiceOuterClass.QueueItem>) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
repeated .tensorflow.eager.QueueItem queue = 3;
addAllQueueClosedExceptionTypes(Iterable<? extends Code>) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
addAllQueueClosedExceptionTypesValue(Iterable<Integer>) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
addAllRecv(Iterable<? extends NamedTensorProto>) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
addAllRecvKey(Iterable<String>) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
repeated string recv_key = 4;
addAllReferencedTensor(Iterable<? extends AllocationDescription>) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addAllRemoteDevice(Iterable<? extends DeviceAttributes>) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes remote_device = 2;
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.
addAllSend(Iterable<? extends NamedTensorProto>) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
Runs the graph.
addAllSessionInterOpThreadPool(Iterable<? extends ThreadPoolOptionProto>) - Method in class org.tensorflow.framework.ConfigProto.Builder
This option is experimental - it may be replaced with a different mechanism in the future.
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.GraphTransferConstNodeInfo.Builder
repeated int64 shape = 3;
addAllShape(Iterable<? extends Long>) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
repeated int64 shape = 2;
addAllShape(Iterable<? extends Long>) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
repeated int64 shape = 2;
addAllSlices(Iterable<? extends TensorSliceProto>) - Method in class org.tensorflow.util.BundleEntryProto.Builder
Iff present, this entry represents a partitioned tensor.
addAllSlotVariables(Iterable<? extends CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference>) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Slot variables owned by this object.
addAllSourceFiles(Iterable<? extends DebuggedSourceFile>) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
A collection of source code files.
addAllStep(Iterable<? extends LabeledStepStats>) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
repeated .tensorflow.LabeledStepStats step = 1;
addAllStepSequence(Iterable<? extends StepSequence>) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
repeated .tensorflow.StepSequence step_sequence = 1;
addAllStringData(Iterable<? extends ByteString>) - Method in class onnx.Onnx.TensorProto.Builder
For strings.
addAllStringData(Iterable<? extends ByteString>) - Method in class onnx.OnnxMl.TensorProto.Builder
For strings.
addAllStrings(Iterable<? extends ByteString>) - Method in class onnx.Onnx.AttributeProto.Builder
list of UTF-8 strings
addAllStrings(Iterable<? extends ByteString>) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of UTF-8 strings
addAllStringVal(Iterable<? extends ByteString>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_STRING
addAllSubdivOffset(Iterable<? extends Integer>) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
repeated int32 subdiv_offset = 9;
addAllTags(Iterable<String>) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
User supplied tag(s) on the meta_graph and included graph_def.
addAllTarget(Iterable<String>) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
Target Nodes.
addAllTarget(Iterable<String>) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Target Nodes.
addAllTarget(Iterable<String>) - Method in class org.tensorflow.framework.CallableOptions.Builder
Target Nodes.
addAllTaskName(Iterable<String>) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
task name prefixes of device_names
addAllTensor(Iterable<? extends NamedTensorProto>) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
addAllTensor(Iterable<? extends TensorProto>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(tensor)"
addAllTensorConnection(Iterable<? extends TensorConnection>) - Method in class org.tensorflow.framework.CallableOptions.Builder
Tensors to be connected in the callable.
addAllTensors(Iterable<? extends Onnx.TensorProto>) - Method in class onnx.Onnx.AttributeProto.Builder
list of tensors
addAllTensors(Iterable<? extends OnnxMl.TensorProto>) - Method in class onnx.OnnxMl.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.Onnx.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.OnnxMl.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 Any>) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
repeated .google.protobuf.Any value = 1;
addAllValue(Iterable<? extends ByteString>) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder
repeated bytes value = 1;
addAllValue(Iterable<? extends Float>) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder
repeated float value = 1 [packed = true];
addAllValue(Iterable<? extends Long>) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder
repeated int64 value = 1 [packed = true];
addAllValue(Iterable<String>) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
repeated string value = 1;
addAllValue(Iterable<? extends Summary.Value>) - Method in class org.tensorflow.framework.Summary.Builder
Set of values for the summary.
addAllValueInfo(Iterable<? extends Onnx.ValueInfoProto>) - Method in class onnx.Onnx.GraphProto.Builder
Information for the values in the graph.
addAllValueInfo(Iterable<? extends OnnxMl.ValueInfoProto>) - Method in class onnx.OnnxMl.GraphProto.Builder
Information for the values in the graph.
addAllValues(Iterable<String>) - Method in class org.tensorflow.framework.ValuesDef.Builder
Value names that have been seen in this context.
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.
addAllVirtualDevices(Iterable<? extends GPUOptions.Experimental.VirtualDevices>) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
The multi virtual device settings.
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.image.CropAndResize
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.image.ExtractImagePatches
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeArea
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeBilinear
 
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.Conv1DDerivative
 
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.DepthwiseConv2DBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2colBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.BaseLoss
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.BaseLossBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.LogPoissonLossBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.SigmoidCrossEntropyLossBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.SoftmaxCrossEntropyLossBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.LogPoissonLoss
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.SigmoidCrossEntropyLoss
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyLoss
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.SparseSoftmaxCrossEntropyLossWithLogits
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.BaseReductionBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.CumProdBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.CumSumBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.BatchMmul
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.shape.Create
 
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.OnesLike
 
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.custom.CumProd
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicPartition
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxArgs
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxVars
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Fill
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.DynamicPartitionBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.NthElement
 
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 arguments for the specified differential function to the graph
addArgsFor(SDVariable[], DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
Adds incoming arguments for the specified differential function to the graph
addArgument(String, INDArray) - Method in class org.nd4j.autodiff.execution.input.Operands
This method allows to pass array to the node identified by its name
addArgument(int, INDArray) - Method in class org.nd4j.autodiff.execution.input.Operands
This method allows to pass array to the node identified by numeric id
addArgument(int, int, INDArray) - Method in class org.nd4j.autodiff.execution.input.Operands
This method allows to pass array to multi-output node in the graph
addArgument(String, int, int, INDArray) - Method in class org.nd4j.autodiff.execution.input.Operands
This method allows to pass array to multi-output node in the graph
addArgumentInterceptor(ArgumentInterceptor) - Method in class org.nd4j.autodiff.samediff.SameDiff
Add a new argument interceptor to the interceptor stack
addAssetFileDef(AssetFileDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
Asset file def to be used with the defined graph.
addAssetFileDef(int, AssetFileDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
Asset file def to be used with the defined graph.
addAssetFileDef(AssetFileDef.Builder) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
Asset file def to be used with the defined graph.
addAssetFileDef(int, AssetFileDef.Builder) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
Asset file def to be used with the defined graph.
addAssetFileDefBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
Asset file def to be used with the defined graph.
addAssetFileDefBuilder(int) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
Asset file def to be used with the defined graph.
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;
addAttribute(Onnx.AttributeProto) - Method in class onnx.Onnx.NodeProto.Builder
Additional named attributes.
addAttribute(int, Onnx.AttributeProto) - Method in class onnx.Onnx.NodeProto.Builder
Additional named attributes.
addAttribute(Onnx.AttributeProto.Builder) - Method in class onnx.Onnx.NodeProto.Builder
Additional named attributes.
addAttribute(int, Onnx.AttributeProto.Builder) - Method in class onnx.Onnx.NodeProto.Builder
Additional named attributes.
addAttribute(OnnxMl.AttributeProto) - Method in class onnx.OnnxMl.NodeProto.Builder
Additional named attributes.
addAttribute(int, OnnxMl.AttributeProto) - Method in class onnx.OnnxMl.NodeProto.Builder
Additional named attributes.
addAttribute(OnnxMl.AttributeProto.Builder) - Method in class onnx.OnnxMl.NodeProto.Builder
Additional named attributes.
addAttribute(int, OnnxMl.AttributeProto.Builder) - Method in class onnx.OnnxMl.NodeProto.Builder
Additional named attributes.
addAttributeBuilder() - Method in class onnx.Onnx.NodeProto.Builder
Additional named attributes.
addAttributeBuilder(int) - Method in class onnx.Onnx.NodeProto.Builder
Additional named attributes.
addAttributeBuilder() - Method in class onnx.OnnxMl.NodeProto.Builder
Additional named attributes.
addAttributeBuilder(int) - Method in class onnx.OnnxMl.NodeProto.Builder
Additional named attributes.
addAttributes(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Serialized data specific to this object.
addAttributes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Serialized data specific to this object.
addAttributes(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Serialized data specific to this object.
addAttributes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Serialized data specific to this object.
addAttributesBuilder() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Serialized data specific to this object.
addAttributesBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Serialized data specific to this object.
addB(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
 
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.
addBArgument(boolean...) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
 
addBArgument(boolean...) - Method in interface org.nd4j.linalg.api.ops.CustomOp
 
addBArgument(boolean...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
addBinlabels(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIHistogram
 
addBinranges(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIHistogram
 
addBitmask(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UISummaryStatistics
 
addBooleanArguments(boolean...) - 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.
addBoolVal(boolean) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_BOOL
AddBpOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp
Addition backprop operation.
AddBpOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.AddBpOp
 
AddBpOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.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
 
addChildren(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Objects which this object depends on.
addChildren(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Objects which this object depends on.
addChildren(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Objects which this object depends on.
addChildren(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Objects which this object depends on.
addChildrenBuilder() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Objects which this object depends on.
addChildrenBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Objects which this object depends on.
addColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
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
 
addConfiguration(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatInferenceRequest
 
addConstantValue(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
 
addConstNodeInfo(GraphTransferConstNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfo(int, GraphTransferConstNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfo(GraphTransferConstNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfo(int, GraphTransferConstNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferConstNodeInfo 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;
addContainer(String) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
A list of container names.
addContainer(String) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
A list of container names, which may be empty.
addContainerBytes(ByteString) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
A list of container names.
addContainerBytes(ByteString) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
A list of container names, which may be empty.
addControlDependency(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
Add a control dependency for this variable on the specified variable.
Control dependencies can be used to enforce the execution order.
addControlDepFor(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addControlDepForOp(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
 
addControlDeps(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addControlDeps(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
 
addControlDeps(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp
 
addControlDeps(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
 
addControlDepsForOp(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
 
addControlDepsForVar(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
 
addControlDepsForVar(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
 
addControlInput(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
Ids of the control inputs for this node.
addControlOpIds(long) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
Control Operation IDs that will be respected when ops are re-ordered by async execution.
addCountinf(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UISummaryStatistics
 
addCountnan(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UISummaryStatistics
 
addCountnegative(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UISummaryStatistics
 
addCountpositive(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UISummaryStatistics
 
addCountzero(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UISummaryStatistics
 
addCustomOptimizers(RewriterConfig.CustomGraphOptimizer) - Method in class org.tensorflow.framework.RewriterConfig.Builder
list of CustomGraphOptimizers to apply.
addCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer) - Method in class org.tensorflow.framework.RewriterConfig.Builder
list of CustomGraphOptimizers to apply.
addCustomOptimizers(RewriterConfig.CustomGraphOptimizer.Builder) - Method in class org.tensorflow.framework.RewriterConfig.Builder
list of CustomGraphOptimizers to apply.
addCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer.Builder) - Method in class org.tensorflow.framework.RewriterConfig.Builder
list of CustomGraphOptimizers to apply.
addCustomOptimizersBuilder() - Method in class org.tensorflow.framework.RewriterConfig.Builder
list of CustomGraphOptimizers to apply.
addCustomOptimizersBuilder(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder
list of CustomGraphOptimizers to apply.
addD(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
 
addDArgument(DataType...) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
 
addDArgument(DataType...) - Method in interface org.nd4j.linalg.api.ops.CustomOp
 
addDArgument(DataType...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
addDatatype(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.UIVariable
 
addDcomplexVal(double) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_COMPLEX128.
addDebugOps(String) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
Name(s) of the debugging op(s).
addDebugOpsBytes(ByteString) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
Name(s) of the debugging op(s).
addDebugTensorWatchOpts(DebugTensorWatch) - Method in class org.tensorflow.framework.DebugOptions.Builder
Debugging options
addDebugTensorWatchOpts(int, DebugTensorWatch) - Method in class org.tensorflow.framework.DebugOptions.Builder
Debugging options
addDebugTensorWatchOpts(DebugTensorWatch.Builder) - Method in class org.tensorflow.framework.DebugOptions.Builder
Debugging options
addDebugTensorWatchOpts(int, DebugTensorWatch.Builder) - Method in class org.tensorflow.framework.DebugOptions.Builder
Debugging options
addDebugTensorWatchOptsBuilder() - Method in class org.tensorflow.framework.DebugOptions.Builder
Debugging options
addDebugTensorWatchOptsBuilder(int) - Method in class org.tensorflow.framework.DebugOptions.Builder
Debugging options
addDebugUrls(String) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
URL(s) for debug targets(s).
addDebugUrlsBytes(ByteString) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
URL(s) for debug targets(s).
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
addDependenciesForOp(String, FrameIter) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession
Suppose operation X has just been executed.
addDependency(T, D) - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker
Add a dependency: y depends on x, as in x -> y
addDevice(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addDevice(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
 
addDeviceAttributes(DeviceAttributes) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
repeated .tensorflow.DeviceAttributes device_attributes = 1;
addDeviceAttributes(int, DeviceAttributes) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
repeated .tensorflow.DeviceAttributes device_attributes = 1;
addDeviceAttributes(DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
repeated .tensorflow.DeviceAttributes device_attributes = 1;
addDeviceAttributes(int, DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
repeated .tensorflow.DeviceAttributes device_attributes = 1;
addDeviceAttributes(DeviceAttributes) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
List of devices that are locally accessible to the worker.
addDeviceAttributes(int, DeviceAttributes) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
List of devices that are locally accessible to the worker.
addDeviceAttributes(DeviceAttributes.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
List of devices that are locally accessible to the worker.
addDeviceAttributes(int, DeviceAttributes.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
List of devices that are locally accessible to the worker.
addDeviceAttributesBuilder() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
repeated .tensorflow.DeviceAttributes device_attributes = 1;
addDeviceAttributesBuilder(int) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
repeated .tensorflow.DeviceAttributes device_attributes = 1;
addDeviceAttributesBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
List of devices that are locally accessible to the worker.
addDeviceAttributesBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
List of devices that are locally accessible to the worker.
addDeviceFilters(String) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
When any filters are present, only devices that match the filters will be reset.
addDeviceFilters(String) - Method in class org.tensorflow.framework.ConfigProto.Builder
When any filters are present sessions will ignore all devices which do not match the filters.
addDeviceFiltersBytes(ByteString) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
When any filters are present, only devices that match the filters will be reset.
addDeviceFiltersBytes(ByteString) - Method in class org.tensorflow.framework.ConfigProto.Builder
When any filters are present sessions will ignore all devices which do not match the filters.
addDeviceName(String) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
repeated string device_name = 4;
addDeviceName(String) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
repeated string device_name = 5;
addDeviceNameBytes(ByteString) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
repeated string device_name = 4;
addDeviceNameBytes(ByteString) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
repeated string device_name = 5;
addDevicePersistentTensorAllocIds(long) - Method in class org.tensorflow.framework.MemoryStats.Builder
Deprecated.
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(Onnx.TensorShapeProto.Dimension) - Method in class onnx.Onnx.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(int, Onnx.TensorShapeProto.Dimension) - Method in class onnx.Onnx.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(Onnx.TensorShapeProto.Dimension.Builder) - Method in class onnx.Onnx.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(int, Onnx.TensorShapeProto.Dimension.Builder) - Method in class onnx.Onnx.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(OnnxMl.TensorShapeProto.Dimension) - Method in class onnx.OnnxMl.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(int, OnnxMl.TensorShapeProto.Dimension) - Method in class onnx.OnnxMl.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(OnnxMl.TensorShapeProto.Dimension.Builder) - Method in class onnx.OnnxMl.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(int, OnnxMl.TensorShapeProto.Dimension.Builder) - Method in class onnx.OnnxMl.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.Onnx.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDimBuilder(int) - Method in class onnx.Onnx.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDimBuilder() - Method in class onnx.OnnxMl.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDimBuilder(int) - Method in class onnx.OnnxMl.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.Onnx.TensorProto.Builder
The shape of the tensor.
addDims(long) - Method in class onnx.OnnxMl.TensorProto.Builder
The shape of the tensor.
addDirection(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatConfiguration
 
addDoubleData(double) - Method in class onnx.Onnx.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.OnnxMl.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
 
addDtype(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatVariable
 
addedEdges - Variable in class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul
 
addEnableOp(String) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
If present, only perform optimization for these ops.
addEnableOpBytes(ByteString) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
If present, only perform optimization for these ops.
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;
addEnqueueOpName(String) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
A list of enqueue operations.
addEnqueueOpNameBytes(ByteString) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
A list of enqueue operations.
addEpoch(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIEvent
 
addEvaluations(boolean, String, int, IEvaluation...) - Method in class org.nd4j.autodiff.listeners.ListenerEvaluations.Builder
Add requested evaluations for a parm/variable, for either training or validation
addEvaluations(boolean, String, int, IEvaluation...) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder
Add requested evaluations for a parm/variable, for either training or validation.
addEventSubType(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.UIEvent
 
addEventType(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.UIEvent
 
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.
addExtraBools(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addExtraInteger(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addExtraParams(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addExtraTypes(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
addFeed(String) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
Tensors to be fed in future steps.
addFeed(TensorProto) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
addFeed(int, TensorProto) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
addFeed(TensorProto.Builder) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
addFeed(int, TensorProto.Builder) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
addFeed(NamedTensorProto) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Tensors to be fed in the step.
addFeed(int, NamedTensorProto) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Tensors to be fed in the step.
addFeed(NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Tensors to be fed in the step.
addFeed(int, NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Tensors to be fed in the step.
addFeed(String) - Method in class org.tensorflow.framework.CallableOptions.Builder
Tensors to be fed in the callable.
addFeedBuilder() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
addFeedBuilder(int) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
addFeedBuilder() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Tensors to be fed in the step.
addFeedBuilder(int) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Tensors to be fed in the step.
addFeedBytes(ByteString) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
Tensors to be fed in future steps.
addFeedBytes(ByteString) - Method in class org.tensorflow.framework.CallableOptions.Builder
Tensors to be fed in the callable.
addFetch(String) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
Fetches.
addFetch(TensorProto) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
addFetch(int, TensorProto) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
addFetch(TensorProto.Builder) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
addFetch(int, TensorProto.Builder) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
addFetch(String) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Fetches.
addFetch(String) - Method in class org.tensorflow.framework.CallableOptions.Builder
Fetches.
addFetchBuilder() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
addFetchBuilder(int) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
addFetchBytes(ByteString) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
Fetches.
addFetchBytes(ByteString) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Fetches.
addFetchBytes(ByteString) - Method in class org.tensorflow.framework.CallableOptions.Builder
Fetches.
addFetchStepId(long) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
When set, requests all saved log data pertaining to the step.
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
 
addFirst(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.LongTriple
 
addFloatData(float) - Method in class onnx.Onnx.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.OnnxMl.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.Onnx.AttributeProto.Builder
list of floats
addFloats(float) - Method in class onnx.OnnxMl.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
 
addFrame(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FrameIteration
 
addFrameIter(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIEvent
 
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;
addGpuMemory(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIHardwareState
 
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;
addGradientVariable(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
 
addGraphInputNodeInfo(GraphTransferGraphInputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Input Node parameters of transferred graph
addGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Input Node parameters of transferred graph
addGraphInputNodeInfo(GraphTransferGraphInputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Input Node parameters of transferred graph
addGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo.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
addGraphKey(long) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder
repeated int64 graph_key = 1;
addGraphOutputNodeInfo(GraphTransferGraphOutputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfo(GraphTransferGraphOutputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferGraphOutputNodeInfo 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(Onnx.GraphProto) - Method in class onnx.Onnx.AttributeProto.Builder
list of graph
addGraphs(int, Onnx.GraphProto) - Method in class onnx.Onnx.AttributeProto.Builder
list of graph
addGraphs(Onnx.GraphProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder
list of graph
addGraphs(int, Onnx.GraphProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder
list of graph
addGraphs(OnnxMl.GraphProto) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of graph
addGraphs(int, OnnxMl.GraphProto) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of graph
addGraphs(OnnxMl.GraphProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of graph
addGraphs(int, OnnxMl.GraphProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of graph
addGraphsBuilder() - Method in class onnx.Onnx.AttributeProto.Builder
list of graph
addGraphsBuilder(int) - Method in class onnx.Onnx.AttributeProto.Builder
list of graph
addGraphsBuilder() - Method in class onnx.OnnxMl.AttributeProto.Builder
list of graph
addGraphsBuilder(int) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of graph
addHalfVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_HALF, DT_BFLOAT16.
addHostMemory(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UIHardwareState
 
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.
addI(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
 
addi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
addi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
addi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
addi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
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(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(long...) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
 
addIArgument(int...) - Method in interface org.nd4j.linalg.api.ops.CustomOp
 
addIArgument(long...) - Method in interface org.nd4j.linalg.api.ops.CustomOp
 
addIArgument(int...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
addIArgument(long...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
addIArgument(int...) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Assign
 
addiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
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.FlatDropRequest
 
addId(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatGraph
 
addId(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatInferenceRequest
 
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
 
addId(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
 
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;
addInfoType(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.UIStaticInfoRecord
 
addInitializer(Onnx.TensorProto) - Method in class onnx.Onnx.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializer(int, Onnx.TensorProto) - Method in class onnx.Onnx.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializer(Onnx.TensorProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializer(int, Onnx.TensorProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializer(OnnxMl.TensorProto) - Method in class onnx.OnnxMl.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializer(int, OnnxMl.TensorProto) - Method in class onnx.OnnxMl.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializer(OnnxMl.TensorProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializer(int, OnnxMl.TensorProto.Builder) - Method in class onnx.OnnxMl.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.Onnx.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.Onnx.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.OnnxMl.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.OnnxMl.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInput(Onnx.ValueInfoProto) - Method in class onnx.Onnx.GraphProto.Builder
The inputs and outputs of the graph.
addInput(int, Onnx.ValueInfoProto) - Method in class onnx.Onnx.GraphProto.Builder
The inputs and outputs of the graph.
addInput(Onnx.ValueInfoProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder
The inputs and outputs of the graph.
addInput(int, Onnx.ValueInfoProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder
The inputs and outputs of the graph.
addInput(String) - Method in class onnx.Onnx.NodeProto.Builder
namespace Value
addInput(OnnxMl.ValueInfoProto) - Method in class onnx.OnnxMl.GraphProto.Builder
The inputs and outputs of the graph.
addInput(int, OnnxMl.ValueInfoProto) - Method in class onnx.OnnxMl.GraphProto.Builder
The inputs and outputs of the graph.
addInput(OnnxMl.ValueInfoProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder
The inputs and outputs of the graph.
addInput(int, OnnxMl.ValueInfoProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder
The inputs and outputs of the graph.
addInput(String) - Method in class onnx.OnnxMl.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
 
addInputBuilder() - Method in class onnx.Onnx.GraphProto.Builder
The inputs and outputs of the graph.
addInputBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder
The inputs and outputs of the graph.
addInputBuilder() - Method in class onnx.OnnxMl.GraphProto.Builder
The inputs and outputs of the graph.
addInputBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder
The inputs and outputs of the graph.
addInputBytes(ByteString) - Method in class onnx.Onnx.NodeProto.Builder
namespace Value
addInputBytes(ByteString) - Method in class onnx.OnnxMl.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
 
addInputs(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure
 
addInputs(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp
 
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(EagerServiceOuterClass.RemoteTensorHandle) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
addInputs(int, EagerServiceOuterClass.RemoteTensorHandle) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
addInputs(EagerServiceOuterClass.RemoteTensorHandle.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
addInputs(int, EagerServiceOuterClass.RemoteTensorHandle.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
addInputsBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
addInputsBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
addInputsForOp(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
 
addInputsPair(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure
 
addInt32Data(int) - Method in class onnx.Onnx.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.OnnxMl.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.Onnx.TensorProto.Builder
For int64.
addInt64Data(long) - Method in class onnx.OnnxMl.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(long) - 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.Onnx.AttributeProto.Builder
list of ints
addInts(long) - Method in class onnx.OnnxMl.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.ndarray.BaseNDArray
 
addiRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
In place addition of a row vector
addIteration(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FrameIteration
 
addIteration(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIEvent
 
addJob(JobDef) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
The jobs that comprise the cluster.
addJob(int, JobDef) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
The jobs that comprise the cluster.
addJob(JobDef.Builder) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
The jobs that comprise the cluster.
addJob(int, JobDef.Builder) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
The jobs that comprise the cluster.
addJobBuilder() - Method in class org.tensorflow.distruntime.ClusterDef.Builder
The jobs that comprise the cluster.
addJobBuilder(int) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
The jobs that comprise the cluster.
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
addLines(String) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
Line-by-line content of the source code file.
addLinesBytes(ByteString) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
Line-by-line content of the source code file.
addLink(InterconnectLink) - Method in class org.tensorflow.framework.LocalLinks.Builder
repeated .tensorflow.InterconnectLink link = 1;
addLink(int, InterconnectLink) - Method in class org.tensorflow.framework.LocalLinks.Builder
repeated .tensorflow.InterconnectLink link = 1;
addLink(InterconnectLink.Builder) - Method in class org.tensorflow.framework.LocalLinks.Builder
repeated .tensorflow.InterconnectLink link = 1;
addLink(int, InterconnectLink.Builder) - Method in class org.tensorflow.framework.LocalLinks.Builder
repeated .tensorflow.InterconnectLink link = 1;
addLinkBuilder() - Method in class org.tensorflow.framework.LocalLinks.Builder
repeated .tensorflow.InterconnectLink link = 1;
addLinkBuilder(int) - Method in class org.tensorflow.framework.LocalLinks.Builder
repeated .tensorflow.InterconnectLink link = 1;
addList(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArrayList
 
addListener(OpProfiler.OpProfilerListener) - Method in class org.nd4j.linalg.profiler.OpProfiler
dd the listener to the profiler
addListeners(Listener...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Add SameDiff-wide Listener instances.
addListeners(Collection<? extends Listener>) - Method in class org.nd4j.autodiff.samediff.SameDiff
addLocalDevice(DeviceAttributes) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes local_device = 1;
addLocalDevice(int, DeviceAttributes) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes local_device = 1;
addLocalDevice(DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes local_device = 1;
addLocalDevice(int, DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes local_device = 1;
addLocalDeviceBuilder() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes local_device = 1;
addLocalDeviceBuilder(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes local_device = 1;
addLoopEnterNames(String) - Method in class org.tensorflow.framework.WhileContextDef.Builder
List of names for enter tensors.
addLoopEnterNamesBytes(ByteString) - Method in class org.tensorflow.framework.WhileContextDef.Builder
List of names for enter tensors.
addLoopExitNames(String) - Method in class org.tensorflow.framework.WhileContextDef.Builder
List of names for exit tensors.
addLoopExitNamesBytes(ByteString) - Method in class org.tensorflow.framework.WhileContextDef.Builder
List of names for exit tensors.
addLossAndCopy(Loss) - Method in class org.nd4j.autodiff.listeners.records.LossCurve
Return a new LossCurve with the given losses added on as the most recent epoch
addLossAndCopy(double[], List<String>) - Method in class org.nd4j.autodiff.listeners.records.LossCurve
Return a new LossCurve with the given losses added on as the most recent epoch
addLossVariable(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
Mark the specified variable as a loss function variable.
addLossVariable(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
addLossVariables(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
 
addMax(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UISummaryStatistics
 
addMaxByteSize(int) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
repeated int32 max_byte_size = 2;
addMean(FlatBufferBuilder, double) - Static method in class org.nd4j.graph.UISummaryStatistics
 
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;
addMemoryLimitMb(float) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
Per "virtual" device memory limit, in MB.
addMemoryTransaction(int, long, long) - Method in class org.nd4j.linalg.api.ops.performance.PerformanceTracker
This method stores bandwidth used for given transaction.
addMemoryTransaction(int, long, long, MemcpyDirection) - Method in class org.nd4j.linalg.api.ops.performance.PerformanceTracker
This method stores bandwidth used for given transaction.
addMetadataProps(Onnx.StringStringEntryProto) - Method in class onnx.Onnx.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataProps(int, Onnx.StringStringEntryProto) - Method in class onnx.Onnx.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataProps(Onnx.StringStringEntryProto.Builder) - Method in class onnx.Onnx.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataProps(int, Onnx.StringStringEntryProto.Builder) - Method in class onnx.Onnx.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataProps(OnnxMl.StringStringEntryProto) - Method in class onnx.OnnxMl.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataProps(int, OnnxMl.StringStringEntryProto) - Method in class onnx.OnnxMl.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataProps(OnnxMl.StringStringEntryProto.Builder) - Method in class onnx.OnnxMl.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataProps(int, OnnxMl.StringStringEntryProto.Builder) - Method in class onnx.OnnxMl.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataPropsBuilder() - Method in class onnx.Onnx.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataPropsBuilder(int) - Method in class onnx.Onnx.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataPropsBuilder() - Method in class onnx.OnnxMl.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataPropsBuilder(int) - Method in class onnx.OnnxMl.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetaGraphs(MetaGraphDef) - Method in class org.tensorflow.framework.SavedModel.Builder
One or more MetaGraphs.
addMetaGraphs(int, MetaGraphDef) - Method in class org.tensorflow.framework.SavedModel.Builder
One or more MetaGraphs.
addMetaGraphs(MetaGraphDef.Builder) - Method in class org.tensorflow.framework.SavedModel.Builder
One or more MetaGraphs.
addMetaGraphs(int, MetaGraphDef.Builder) - Method in class org.tensorflow.framework.SavedModel.Builder
One or more MetaGraphs.
addMetaGraphsBuilder() - Method in class org.tensorflow.framework.SavedModel.Builder
One or more MetaGraphs.
addMetaGraphsBuilder(int) - Method in class org.tensorflow.framework.SavedModel.Builder
One or more MetaGraphs.
addMin(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UISummaryStatistics
 
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
 
addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIAddName
 
addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp
 
addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
 
addNameIdx(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIAddName
 
addNameIdx(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIEvent
 
addNdarray(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
 
addNestedContexts(ControlFlowContextDef) - Method in class org.tensorflow.framework.CondContextDef.Builder
Contexts contained inside this context (e.g.
addNestedContexts(int, ControlFlowContextDef) - Method in class org.tensorflow.framework.CondContextDef.Builder
Contexts contained inside this context (e.g.
addNestedContexts(ControlFlowContextDef.Builder) - Method in class org.tensorflow.framework.CondContextDef.Builder
Contexts contained inside this context (e.g.
addNestedContexts(int, ControlFlowContextDef.Builder) - Method in class org.tensorflow.framework.CondContextDef.Builder
Contexts contained inside this context (e.g.
addNestedContexts(ControlFlowContextDef) - Method in class org.tensorflow.framework.WhileContextDef.Builder
Contexts contained inside this context (e.g.
addNestedContexts(int, ControlFlowContextDef) - Method in class org.tensorflow.framework.WhileContextDef.Builder
Contexts contained inside this context (e.g.
addNestedContexts(ControlFlowContextDef.Builder) - Method in class org.tensorflow.framework.WhileContextDef.Builder
Contexts contained inside this context (e.g.
addNestedContexts(int, ControlFlowContextDef.Builder) - Method in class org.tensorflow.framework.WhileContextDef.Builder
Contexts contained inside this context (e.g.
addNestedContextsBuilder() - Method in class org.tensorflow.framework.CondContextDef.Builder
Contexts contained inside this context (e.g.
addNestedContextsBuilder(int) - Method in class org.tensorflow.framework.CondContextDef.Builder
Contexts contained inside this context (e.g.
addNestedContextsBuilder() - Method in class org.tensorflow.framework.WhileContextDef.Builder
Contexts contained inside this context (e.g.
addNestedContextsBuilder(int) - Method in class org.tensorflow.framework.WhileContextDef.Builder
Contexts contained inside this context (e.g.
addNode(Onnx.NodeProto) - Method in class onnx.Onnx.GraphProto.Builder
The nodes in the graph.
addNode(int, Onnx.NodeProto) - Method in class onnx.Onnx.GraphProto.Builder
The nodes in the graph.
addNode(Onnx.NodeProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder
The nodes in the graph.
addNode(int, Onnx.NodeProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder
The nodes in the graph.
addNode(OnnxMl.NodeProto) - Method in class onnx.OnnxMl.GraphProto.Builder
The nodes in the graph.
addNode(int, OnnxMl.NodeProto) - Method in class onnx.OnnxMl.GraphProto.Builder
The nodes in the graph.
addNode(OnnxMl.NodeProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder
The nodes in the graph.
addNode(int, OnnxMl.NodeProto.Builder) - Method in class onnx.OnnxMl.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.Onnx.GraphProto.Builder
The nodes in the graph.
addNodeBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder
The nodes in the graph.
addNodeBuilder() - Method in class onnx.OnnxMl.GraphProto.Builder
The nodes in the graph.
addNodeBuilder(int) - Method in class onnx.OnnxMl.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(GraphTransferNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfo(int, GraphTransferNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfo(GraphTransferNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfo(int, GraphTransferNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInput(GraphTransferNodeInput) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInput(int, GraphTransferNodeInput) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInput(GraphTransferNodeInput.Builder) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInput(int, GraphTransferNodeInput.Builder) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInputBuilder() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInputBuilder(int) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInputInfo(GraphTransferNodeInputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfo(int, GraphTransferNodeInputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfo(GraphTransferNodeInputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfo(int, GraphTransferNodeInputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeOutputInfo(GraphTransferNodeOutputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfo(int, GraphTransferNodeOutputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfo(GraphTransferNodeOutputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfo(int, GraphTransferNodeOutputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodes(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
 
addNodes(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
addNodes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
addNodes(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
addNodes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
addNodesBuilder() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
addNodesBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
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;
addNumbins(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UIHistogram
 
AddOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic
Addition operation
AddOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.AddOp
 
AddOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.AddOp
 
AddOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.AddOp
 
AddOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.AddOp
 
AddOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.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;
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;
addOperator(OnnxOperators.OperatorProto) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder
The operators specified by this operator set.
addOperator(int, OnnxOperators.OperatorProto) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder
The operators specified by this operator set.
addOperator(OnnxOperators.OperatorProto.Builder) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder
The operators specified by this operator set.
addOperator(int, OnnxOperators.OperatorProto.Builder) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder
The operators specified by this operator set.
addOperatorBuilder() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder
The operators specified by this operator set.
addOperatorBuilder(int) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder
The operators specified by this operator set.
addOpId(long) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
Ids to wait on.
addOpName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addOpName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp
 
addOpNum(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatNode
 
addOps(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure
 
addOpsetImport(Onnx.OperatorSetIdProto) - Method in class onnx.Onnx.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImport(int, Onnx.OperatorSetIdProto) - Method in class onnx.Onnx.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImport(Onnx.OperatorSetIdProto.Builder) - Method in class onnx.Onnx.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImport(int, Onnx.OperatorSetIdProto.Builder) - Method in class onnx.Onnx.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImport(OnnxMl.OperatorSetIdProto) - Method in class onnx.OnnxMl.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImport(int, OnnxMl.OperatorSetIdProto) - Method in class onnx.OnnxMl.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImport(OnnxMl.OperatorSetIdProto.Builder) - Method in class onnx.OnnxMl.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImport(int, OnnxMl.OperatorSetIdProto.Builder) - Method in class onnx.OnnxMl.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImportBuilder() - Method in class onnx.Onnx.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImportBuilder(int) - Method in class onnx.Onnx.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImportBuilder() - Method in class onnx.OnnxMl.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImportBuilder(int) - Method in class onnx.OnnxMl.ModelProto.Builder
The OperatorSets this model relies on.
addOptimizers(String) - Method in class org.tensorflow.framework.RewriterConfig.Builder
If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
addOptimizersBytes(ByteString) - Method in class org.tensorflow.framework.RewriterConfig.Builder
If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
addOpType(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatNode
 
addOrDependency(T, D, D) - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker
Add an "Or" dependency: Y requires either x1 OR x2 - i.e., (x1 or x2) -> Y
If either x1 or x2 (or both) are marked satisfied via AbstractDependencyTracker.markSatisfied(Object, boolean) then the dependency is considered satisfied
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 arguments to the graph for the specified DifferentialFunction Also checks for input arguments and updates the graph adding an appropriate edge when the full graph is declared.
addOutgoingFor(String[], DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
Adds outgoing arguments to the graph for the specified DifferentialFunction Also checks for input arguments and updates the graph adding an appropriate edge when the full graph is declared.
addOutput(Onnx.ValueInfoProto) - Method in class onnx.Onnx.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(int, Onnx.ValueInfoProto) - Method in class onnx.Onnx.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(Onnx.ValueInfoProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(int, Onnx.ValueInfoProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(String) - Method in class onnx.Onnx.NodeProto.Builder
namespace Value
addOutput(OnnxMl.ValueInfoProto) - Method in class onnx.OnnxMl.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(int, OnnxMl.ValueInfoProto) - Method in class onnx.OnnxMl.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(OnnxMl.ValueInfoProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(int, OnnxMl.ValueInfoProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(String) - Method in class onnx.OnnxMl.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
 
addOutputBuilder() - Method in class onnx.Onnx.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutputBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutputBuilder() - Method in class onnx.OnnxMl.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutputBuilder(int) - Method in class onnx.OnnxMl.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.Onnx.NodeProto.Builder
namespace Value
addOutputBytes(ByteString) - Method in class onnx.OnnxMl.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
 
addOutputNames(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addOutputOfOp(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
 
addOutputs(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
 
addOutputs(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure
 
addOutputs(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp
 
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.
addOutputShape(LongShapeDescriptor) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
Adds an oup
addOutputTypes(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addParamName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UpdaterState
 
addPartitionGraph(GraphDef) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
repeated .tensorflow.GraphDef partition_graph = 4;
addPartitionGraph(int, GraphDef) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
repeated .tensorflow.GraphDef partition_graph = 4;
addPartitionGraph(GraphDef.Builder) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
repeated .tensorflow.GraphDef partition_graph = 4;
addPartitionGraph(int, GraphDef.Builder) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
repeated .tensorflow.GraphDef partition_graph = 4;
addPartitionGraphBuilder() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
repeated .tensorflow.GraphDef partition_graph = 4;
addPartitionGraphBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
repeated .tensorflow.GraphDef partition_graph = 4;
addPartitionGraphs(GraphDef) - Method in class org.tensorflow.framework.RunMetadata.Builder
Graphs of the partitions executed by executors.
addPartitionGraphs(int, GraphDef) - Method in class org.tensorflow.framework.RunMetadata.Builder
Graphs of the partitions executed by executors.
addPartitionGraphs(GraphDef.Builder) - Method in class org.tensorflow.framework.RunMetadata.Builder
Graphs of the partitions executed by executors.
addPartitionGraphs(int, GraphDef.Builder) - Method in class org.tensorflow.framework.RunMetadata.Builder
Graphs of the partitions executed by executors.
addPartitionGraphsBuilder() - Method in class org.tensorflow.framework.RunMetadata.Builder
Graphs of the partitions executed by executors.
addPartitionGraphsBuilder(int) - Method in class org.tensorflow.framework.RunMetadata.Builder
Graphs of the partitions executed by executors.
addPersistentTensorAllocIds(long) - Method in class org.tensorflow.framework.MemoryStats.Builder
repeated int64 persistent_tensor_alloc_ids = 5;
addPhysicalCores(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UISystemInfo
 
addPlaceholders(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
 
addPlugin(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIEvent
 
addProfilingMode(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatConfiguration
 
addProperties(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addQueue(EagerServiceOuterClass.QueueItem) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
repeated .tensorflow.eager.QueueItem queue = 3;
addQueue(int, EagerServiceOuterClass.QueueItem) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
repeated .tensorflow.eager.QueueItem queue = 3;
addQueue(EagerServiceOuterClass.QueueItem.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
repeated .tensorflow.eager.QueueItem queue = 3;
addQueue(int, EagerServiceOuterClass.QueueItem.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
repeated .tensorflow.eager.QueueItem queue = 3;
addQueueBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
repeated .tensorflow.eager.QueueItem queue = 3;
addQueueBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
repeated .tensorflow.eager.QueueItem queue = 3;
addQueueClosedExceptionTypes(Code) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
addQueueClosedExceptionTypesValue(int) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
addRecv(NamedTensorProto) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
addRecv(int, NamedTensorProto) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
addRecv(NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
addRecv(int, NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
addRecvBuilder() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
addRecvBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
addRecvKey(String) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
repeated string recv_key = 4;
addRecvKeyBytes(ByteString) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
repeated string recv_key = 4;
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;
addReferencing(String) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
Deprecated.
addReferencing(String) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Add a referencing element to this buffer
addRegularization(Regularization...) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder
Add regularization to all trainable parameters in the network
addRemoteDevice(DeviceAttributes) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes remote_device = 2;
addRemoteDevice(int, DeviceAttributes) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes remote_device = 2;
addRemoteDevice(DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes remote_device = 2;
addRemoteDevice(int, DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes remote_device = 2;
addRemoteDeviceBuilder() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes remote_device = 2;
addRemoteDeviceBuilder(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes remote_device = 2;
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.AttributeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.GraphProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.ModelProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.NodeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.OperatorSetIdProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.StringStringEntryProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TensorProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TensorProto.Segment.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TensorShapeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TypeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TypeProto.Tensor.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.ValueInfoProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.AttributeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.GraphProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.ModelProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.NodeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.StringStringEntryProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TensorProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TensorProto.Segment.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TensorShapeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.Map.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.ValueInfoProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxOperators.OperatorProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.JobDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ResetResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ServerDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.StepSequence.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.TraceOpts.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.TracingRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.TracingResponse.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.AssetFileDef.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.AutoParallelOptions.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CallableOptions.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CondContextDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ConfigProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ControlFlowContextDef.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.CriticalSectionDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DebugOptions.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DebugTensorWatch.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.GPUOptions.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.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.GraphOptions.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.HistogramProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.InterconnectLink.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.LocalLinks.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.MetaGraphDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NameAttrList.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NamedTensorProto.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.OptimizerOptions.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.QueueRunnerDef.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.RewriterConfig.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RPCOptions.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RunMetadata.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RunOptions.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SavedModel.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SignatureDef.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.TensorConnection.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorDescription.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.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.ThreadPoolOptionProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ValuesDef.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.framework.WhileContextDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.BundleEntryProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.BundleHeaderProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.SaverDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.TransportOptions.RecvBufRespExtra.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
address() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
address() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Returns the address of the pointer
addressPointer() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
addressPointer() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Returns the address of the pointer wrapped in a Pointer
addressPointer() - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
 
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.ndarray.BaseNDArray
 
addRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Addition of a row vector (copy)
addS(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
 
addS(ByteString) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(string)"
addScalar(FlatBufferBuilder, int) - 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
 
addSecond(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.LongTriple
 
addSend(NamedTensorProto) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
Runs the graph.
addSend(int, NamedTensorProto) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
Runs the graph.
addSend(NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
Runs the graph.
addSend(int, NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
Runs the graph.
addSendBuilder() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
Runs the graph.
addSendBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
Runs the graph.
addSessionInterOpThreadPool(ThreadPoolOptionProto) - Method in class org.tensorflow.framework.ConfigProto.Builder
This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPool(int, ThreadPoolOptionProto) - Method in class org.tensorflow.framework.ConfigProto.Builder
This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPool(ThreadPoolOptionProto.Builder) - Method in class org.tensorflow.framework.ConfigProto.Builder
This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPool(int, ThreadPoolOptionProto.Builder) - Method in class org.tensorflow.framework.ConfigProto.Builder
This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPoolBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder
This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPoolBuilder(int) - Method in class org.tensorflow.framework.ConfigProto.Builder
This option is experimental - it may be replaced with a different mechanism in the future.
addShape(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArray
 
addShape(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
 
addShape(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
 
addShape(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
 
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.GraphTransferConstNodeInfo.Builder
repeated int64 shape = 3;
addShape(long) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
repeated int64 shape = 2;
addShape(long) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.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)"
addSlices(TensorSliceProto) - Method in class org.tensorflow.util.BundleEntryProto.Builder
Iff present, this entry represents a partitioned tensor.
addSlices(int, TensorSliceProto) - Method in class org.tensorflow.util.BundleEntryProto.Builder
Iff present, this entry represents a partitioned tensor.
addSlices(TensorSliceProto.Builder) - Method in class org.tensorflow.util.BundleEntryProto.Builder
Iff present, this entry represents a partitioned tensor.
addSlices(int, TensorSliceProto.Builder) - Method in class org.tensorflow.util.BundleEntryProto.Builder
Iff present, this entry represents a partitioned tensor.
addSlicesBuilder() - Method in class org.tensorflow.util.BundleEntryProto.Builder
Iff present, this entry represents a partitioned tensor.
addSlicesBuilder(int) - Method in class org.tensorflow.util.BundleEntryProto.Builder
Iff present, this entry represents a partitioned tensor.
addSlotVariables(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Slot variables owned by this object.
addSlotVariables(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Slot variables owned by this object.
addSlotVariables(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Slot variables owned by this object.
addSlotVariables(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Slot variables owned by this object.
addSlotVariablesBuilder() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Slot variables owned by this object.
addSlotVariablesBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Slot variables owned by this object.
addSourceFiles(DebuggedSourceFile) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
A collection of source code files.
addSourceFiles(int, DebuggedSourceFile) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
A collection of source code files.
addSourceFiles(DebuggedSourceFile.Builder) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
A collection of source code files.
addSourceFiles(int, DebuggedSourceFile.Builder) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
A collection of source code files.
addSourceFilesBuilder() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
A collection of source code files.
addSourceFilesBuilder(int) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
A collection of source code files.
addStatus(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatResponse
 
addStdev(FlatBufferBuilder, double) - Static method in class org.nd4j.graph.UISummaryStatistics
 
addStep(LabeledStepStats) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
repeated .tensorflow.LabeledStepStats step = 1;
addStep(int, LabeledStepStats) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
repeated .tensorflow.LabeledStepStats step = 1;
addStep(LabeledStepStats.Builder) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
repeated .tensorflow.LabeledStepStats step = 1;
addStep(int, LabeledStepStats.Builder) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
repeated .tensorflow.LabeledStepStats step = 1;
addStepBuilder() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
repeated .tensorflow.LabeledStepStats step = 1;
addStepBuilder(int) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
repeated .tensorflow.LabeledStepStats step = 1;
addStepSequence(StepSequence) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
repeated .tensorflow.StepSequence step_sequence = 1;
addStepSequence(int, StepSequence) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
repeated .tensorflow.StepSequence step_sequence = 1;
addStepSequence(StepSequence.Builder) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
repeated .tensorflow.StepSequence step_sequence = 1;
addStepSequence(int, StepSequence.Builder) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
repeated .tensorflow.StepSequence step_sequence = 1;
addStepSequenceBuilder() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
repeated .tensorflow.StepSequence step_sequence = 1;
addStepSequenceBuilder(int) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
repeated .tensorflow.StepSequence step_sequence = 1;
addStrategy(NormalizerSerializerStrategy) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer
Add a normalizer serializer strategy
addStringData(ByteString) - Method in class onnx.Onnx.TensorProto.Builder
For strings.
addStringData(ByteString) - Method in class onnx.OnnxMl.TensorProto.Builder
For strings.
addStrings(ByteString) - Method in class onnx.Onnx.AttributeProto.Builder
list of UTF-8 strings
addStrings(ByteString) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of UTF-8 strings
addStringVal(ByteString) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_STRING
addSubdivOffset(int) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
repeated int32 subdiv_offset = 9;
addTags(String) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
User supplied tag(s) on the meta_graph and included graph_def.
addTagsBytes(ByteString) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
User supplied tag(s) on the meta_graph and included graph_def.
addTarget(String) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
Target Nodes.
addTarget(String) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Target Nodes.
addTarget(String) - Method in class org.tensorflow.framework.CallableOptions.Builder
Target Nodes.
addTargetBytes(ByteString) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
Target Nodes.
addTargetBytes(ByteString) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Target Nodes.
addTargetBytes(ByteString) - Method in class org.tensorflow.framework.CallableOptions.Builder
Target Nodes.
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
 
addTaskName(String) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
task name prefixes of device_names
addTaskNameBytes(ByteString) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
task name prefixes of device_names
addTensor(NamedTensorProto) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
addTensor(int, NamedTensorProto) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
addTensor(NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
addTensor(int, NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
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.distruntime.RunStepResponse.Builder
NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
addTensorBuilder(int) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
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)"
addTensorConnection(TensorConnection) - Method in class org.tensorflow.framework.CallableOptions.Builder
Tensors to be connected in the callable.
addTensorConnection(int, TensorConnection) - Method in class org.tensorflow.framework.CallableOptions.Builder
Tensors to be connected in the callable.
addTensorConnection(TensorConnection.Builder) - Method in class org.tensorflow.framework.CallableOptions.Builder
Tensors to be connected in the callable.
addTensorConnection(int, TensorConnection.Builder) - Method in class org.tensorflow.framework.CallableOptions.Builder
Tensors to be connected in the callable.
addTensorConnectionBuilder() - Method in class org.tensorflow.framework.CallableOptions.Builder
Tensors to be connected in the callable.
addTensorConnectionBuilder(int) - Method in class org.tensorflow.framework.CallableOptions.Builder
Tensors to be connected in the callable.
addTensors(Onnx.TensorProto) - Method in class onnx.Onnx.AttributeProto.Builder
list of tensors
addTensors(int, Onnx.TensorProto) - Method in class onnx.Onnx.AttributeProto.Builder
list of tensors
addTensors(Onnx.TensorProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder
list of tensors
addTensors(int, Onnx.TensorProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder
list of tensors
addTensors(OnnxMl.TensorProto) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of tensors
addTensors(int, OnnxMl.TensorProto) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of tensors
addTensors(OnnxMl.TensorProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of tensors
addTensors(int, OnnxMl.TensorProto.Builder) - Method in class onnx.OnnxMl.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.Onnx.AttributeProto.Builder
list of tensors
addTensorsBuilder(int) - Method in class onnx.Onnx.AttributeProto.Builder
list of tensors
addTensorsBuilder() - Method in class onnx.OnnxMl.AttributeProto.Builder
list of tensors
addTensorsBuilder(int) - Method in class onnx.OnnxMl.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
 
addThird(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.LongTriple
 
addTime(long) - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
 
addTimestamp(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UIEvent
 
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
 
addToConfusion(Integer, Integer) - Method in class org.nd4j.evaluation.classification.Evaluation
Adds to the confusion matrix
addTrainingConfig(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
 
addType(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.UIHistogram
 
addType(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.UIVariable
 
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)"
addUiLabelExtra(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp
 
addUiLabelExtra(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
 
addUint32Val(int) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_UINT32
addUint64Data(long) - Method in class onnx.Onnx.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.OnnxMl.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
addUpdaterState(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
 
addUpdaterStateKeys(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UpdaterState
 
addUpdaterStateValues(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UpdaterState
 
addValue(MemcpyDirection, Long) - Method in class org.nd4j.linalg.api.ops.performance.primitives.AveragingTransactionsHolder
 
addValue(Any) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
repeated .google.protobuf.Any value = 1;
addValue(int, Any) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
repeated .google.protobuf.Any value = 1;
addValue(Any.Builder) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
repeated .google.protobuf.Any value = 1;
addValue(int, Any.Builder) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
repeated .google.protobuf.Any value = 1;
addValue(ByteString) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder
repeated bytes value = 1;
addValue(float) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder
repeated float value = 1 [packed = true];
addValue(long) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder
repeated int64 value = 1 [packed = true];
addValue(String) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
repeated string value = 1;
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.CollectionDef.AnyList.Builder
repeated .google.protobuf.Any value = 1;
addValueBuilder(int) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
repeated .google.protobuf.Any value = 1;
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.
addValueBytes(ByteString) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
repeated string value = 1;
addValueInfo(Onnx.ValueInfoProto) - Method in class onnx.Onnx.GraphProto.Builder
Information for the values in the graph.
addValueInfo(int, Onnx.ValueInfoProto) - Method in class onnx.Onnx.GraphProto.Builder
Information for the values in the graph.
addValueInfo(Onnx.ValueInfoProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder
Information for the values in the graph.
addValueInfo(int, Onnx.ValueInfoProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder
Information for the values in the graph.
addValueInfo(OnnxMl.ValueInfoProto) - Method in class onnx.OnnxMl.GraphProto.Builder
Information for the values in the graph.
addValueInfo(int, OnnxMl.ValueInfoProto) - Method in class onnx.OnnxMl.GraphProto.Builder
Information for the values in the graph.
addValueInfo(OnnxMl.ValueInfoProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder
Information for the values in the graph.
addValueInfo(int, OnnxMl.ValueInfoProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder
Information for the values in the graph.
addValueInfoBuilder() - Method in class onnx.Onnx.GraphProto.Builder
Information for the values in the graph.
addValueInfoBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder
Information for the values in the graph.
addValueInfoBuilder() - Method in class onnx.OnnxMl.GraphProto.Builder
Information for the values in the graph.
addValueInfoBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder
Information for the values in the graph.
addValues(String) - Method in class org.tensorflow.framework.ValuesDef.Builder
Value names that have been seen in this context.
addValuesBytes(ByteString) - Method in class org.tensorflow.framework.ValuesDef.Builder
Value names that have been seen in this context.
addVarControlDeps(AbstractSession.ExecStep, Variable) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession
Add the control dependency from Op -> variable
addVarControlDeps(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addVariable(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Add the specified variable to this SameDiff instance
addVariableId(FlatBufferBuilder, short) - Static method in class org.nd4j.graph.UIEvent
 
addVariables(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
 
addVariables(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatInferenceRequest
 
addVariables(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatResult
 
addVariables(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure
 
addVariabletype(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatVariable
 
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
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.
addVirtualDevices(GPUOptions.Experimental.VirtualDevices) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
The multi virtual device settings.
addVirtualDevices(int, GPUOptions.Experimental.VirtualDevices) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
The multi virtual device settings.
addVirtualDevices(GPUOptions.Experimental.VirtualDevices.Builder) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
The multi virtual device settings.
addVirtualDevices(int, GPUOptions.Experimental.VirtualDevices.Builder) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
The multi virtual device settings.
addVirtualDevicesBuilder() - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
The multi virtual device settings.
addVirtualDevicesBuilder(int) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
The multi virtual device settings.
addY(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIHistogram
 
adjustContrast(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDImage
Adjusts contrast of RGB or grayscale images.
adjustContrast(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDImage
Adjusts contrast of RGB or grayscale images.
AdjustContrast - Class in org.nd4j.linalg.api.ops.custom
 
AdjustContrast() - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustContrast
 
AdjustContrast(INDArray, double, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustContrast
 
AdjustContrast(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustContrast
 
AdjustContrast(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustContrast
 
AdjustContrast(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustContrast
 
adjustContrast(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDImage
Adjusts contrast of RGB or grayscale images.
AdjustContrastV2 - Class in org.nd4j.linalg.api.ops.custom
 
AdjustContrastV2() - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustContrastV2
 
AdjustContrastV2(INDArray, double, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustContrastV2
 
AdjustContrastV2(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustContrastV2
 
adjustHue(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDImage
Adjust hue of RGB image
adjustHue(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDImage
Adjust hue of RGB image
AdjustHue - Class in org.nd4j.linalg.api.ops.custom
 
AdjustHue() - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustHue
 
AdjustHue(INDArray, double, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustHue
 
AdjustHue(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustHue
 
AdjustHue(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustHue
 
AdjustHue(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustHue
 
adjustHue(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDImage
Adjust hue of RGB image
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
 
adjustSaturation(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDImage
Adjust saturation of RGB images
adjustSaturation(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.ops.SDImage
Adjust saturation of RGB images
AdjustSaturation - Class in org.nd4j.linalg.api.ops.custom
 
AdjustSaturation() - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustSaturation
 
AdjustSaturation(INDArray, double, INDArray) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustSaturation
 
AdjustSaturation(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustSaturation
 
AdjustSaturation(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustSaturation
 
AdjustSaturation(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.custom.AdjustSaturation
 
adjustSaturation(INDArray, double) - Method in class org.nd4j.linalg.factory.ops.NDImage
Adjust saturation of RGB images
AffinityManager - Interface in org.nd4j.linalg.api.concurrency
 
AffinityManager.Location - Enum in org.nd4j.linalg.api.concurrency
 
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
Deprecated.
AggregateAxpy(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
Deprecated.
 
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
 
aggregateOpClass(int) - Static method in class org.nd4j.autodiff.samediff.serde.LegacyOpMapper
 
AGGREGATION - Static variable in class org.nd4j.graph.OpType
 
AGGRESSIVE_VALUE - Static variable in enum org.tensorflow.framework.RewriterConfig.Toggle
Enable some aggressive optimizations that use assumptions that TF graphs may break.
aLength() - Method in class org.nd4j.graph.FlatProperties
 
ALIAS_INPUT_PORT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
 
alignCorners - Variable in class org.nd4j.linalg.api.ops.impl.image.ResizeArea
 
alignCorners - Variable in class org.nd4j.linalg.api.ops.impl.image.ResizeBicubic
 
alignCorners - Variable in class org.nd4j.linalg.api.ops.impl.image.ResizeBilinear
 
alignPixelCenters - Variable in class org.nd4j.linalg.api.ops.impl.image.ResizeBicubic
 
all(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
Boolean and array reduction operation, optionally along specified dimensions
all(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
Boolean and array reduction operation, optionally along specified dimensions
all() - Static method in class org.nd4j.autodiff.samediff.SDIndex
 
all() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
all() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
This method checks if all elements within this array are non-zero (or true, in case of boolean)
All - Class in org.nd4j.linalg.api.ops.impl.reduce.bool
Boolean AND accumulation
All(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All
 
All() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All
 
All(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All
 
All(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.All
 
all(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase
Boolean and array reduction operation, optionally along specified dimensions
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
 
allData - Variable in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
 
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
allFunctionsInSubgraph() - Method in class org.nd4j.autodiff.samediff.transform.SubGraph
 
allManhattanDistances(INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
alloc(DataBuffer, int, int, int) - Method in interface org.nd4j.linalg.api.buffer.allocation.MemoryStrategy
Allocate memory for the given buffer
alloc(long, DataType, boolean) - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace
This method does allocation from a given Workspace
alloc(long, MemoryKind, DataType, boolean) - Method in class org.nd4j.linalg.api.memory.abstracts.DummyWorkspace
This method does allocation from a given Workspace
alloc(long, DataType, boolean) - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace
 
alloc(long, MemoryKind, DataType, boolean) - Method in class org.nd4j.linalg.api.memory.abstracts.Nd4jWorkspace
 
alloc(long, DataType, boolean) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace
This method does allocation from a given Workspace
alloc(long, MemoryKind, DataType, boolean) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace
This method does allocation from a given Workspace
alloc - Static variable in class org.nd4j.linalg.factory.Nd4j
 
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(boolean, DataType, long...) - Method in class org.nd4j.autodiff.samediff.internal.memory.ArrayCacheMemoryMgr
 
allocate(boolean, LongShapeDescriptor) - Method in class org.nd4j.autodiff.samediff.internal.memory.ArrayCacheMemoryMgr
 
allocate(boolean, DataType, long...) - Method in class org.nd4j.autodiff.samediff.internal.memory.ArrayCloseMemoryMgr
 
allocate(boolean, LongShapeDescriptor) - Method in class org.nd4j.autodiff.samediff.internal.memory.ArrayCloseMemoryMgr
 
allocate(boolean, DataType, long...) - Method in class org.nd4j.autodiff.samediff.internal.memory.CloseValidationMemoryMgr
 
allocate(boolean, LongShapeDescriptor) - Method in class org.nd4j.autodiff.samediff.internal.memory.CloseValidationMemoryMgr
 
allocate(boolean, DataType, long...) - Method in class org.nd4j.autodiff.samediff.internal.memory.NoOpMemoryMgr
 
allocate(boolean, LongShapeDescriptor) - Method in class org.nd4j.autodiff.samediff.internal.memory.NoOpMemoryMgr
 
allocate(boolean, DataType, long...) - Method in interface org.nd4j.autodiff.samediff.internal.SessionMemMgr
Allocate an array with the specified datatype and shape.
NOTE: This array should be assumed to be uninitialized - i.e., contains random values.
allocate(boolean, LongShapeDescriptor) - Method in interface org.nd4j.autodiff.samediff.internal.SessionMemMgr
As per SessionMemMgr.allocate(boolean, DataType, long...) but from a LongShapeDescriptor instead
allocate(int, LongShapeDescriptor) - Method in interface org.nd4j.linalg.api.concurrency.DistributedINDArray
This method allocates INDArray for specified entry
allocate(int, DataType, long...) - Method in interface org.nd4j.linalg.api.concurrency.DistributedINDArray
This method allocates INDArray for specified entry
allocate(long, MemoryKind, boolean) - Method in class org.nd4j.linalg.api.memory.BasicMemoryManager
This method returns PLEASE NOTE: Cache options depend on specific implementations
allocate(long, MemoryKind, boolean) - Method in interface org.nd4j.linalg.api.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
 
allocatedMemory(Integer) - Method in interface org.nd4j.linalg.api.memory.MemoryManager
This method returns number of bytes allocated on specified device
allocateOutputArrays(CustomOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
 
allocateOutputArrays(CustomOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
Equivalent to calli
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
 
AllocationKind - Enum in org.nd4j.linalg.api.memory.enums
This enum describes different allocation kinds
allocationMode - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
allocationMode() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
allocationMode() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Allocation mode for buffers
allocationMode() - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory
Allocation mode for the data buffer
AllocationPolicy - Enum in org.nd4j.linalg.api.memory.enums
 
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
 
AllocationsTracker - Class in org.nd4j.linalg.api.memory
This class provides methods for tracking different memory allocations
AllocationsTracker() - Constructor for class org.nd4j.linalg.api.memory.AllocationsTracker
 
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
 
ALLOCATOR_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GPUOptions
 
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
 
AllocUtil - Class in org.nd4j.linalg.api.buffer.util
Used for manipulating the allocation variable in nd4j's context
AllocUtil() - Constructor for class org.nd4j.linalg.api.buffer.util.AllocUtil
 
allOpenWorkspaces() - Static method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
 
ALLOW_GROWTH_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GPUOptions
 
ALLOW_SOFT_PLACEMENT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ConfigProto
 
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
 
allowHelpers(boolean) - Method in interface org.nd4j.linalg.api.ops.OpContext
This method allows to enable/disable use of platform helpers within ops.
allowHelpers(boolean) - Method in interface org.nd4j.linalg.factory.Environment
Set whether helpers (cuDNN, DNNL/MKLDNN etc) are allowed
ALLOWS_UNINITIALIZED_INPUT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef
 
allowsOrder() - Method in class org.nd4j.linalg.factory.Nd4jBackend
Returns true if the backend allows order to be specified on blas operations (cblas)
allowsSpecifyOrdering() - Static method in class org.nd4j.linalg.factory.Nd4j
Backend specific: Returns whether specifying the order for the blas impl is allowed (cblas)
alpha - Variable in class org.nd4j.linalg.api.ops.impl.reduce.Mmul
 
alpha - Variable in class org.nd4j.linalg.api.ops.impl.transforms.strict.ELU
 
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
 
ALREADY_EXISTS_VALUE - Static variable in enum org.tensorflow.framework.Code
Some entity that we attempted to create (e.g., file or directory) already exists.
amax(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Absolute max array reduction operation, optionally along specified dimensions: out = max(abs(x))
amax(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Absolute max array reduction operation, optionally along specified dimensions: out = max(abs(x))
amax(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
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.reduce.same
Calculate the absolute max over a vector
AMax(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax
 
AMax(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax
 
AMax(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax
 
AMax() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax
 
AMax(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMax
 
AMax - Class in org.nd4j.linalg.api.ops.impl.transforms.same
Calculate the absolute minimum over a vector
AMax(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.AMax
 
AMax() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.AMax
 
AMax(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.AMax
 
amax(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
Broadcast absolute max op.
amax(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath
Absolute max array reduction operation, optionally along specified dimensions: out = max(abs(x))
amaxNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
amaxNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns maximum (absolute) value in this INDArray
amean(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Absolute mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))
amean(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Absolute mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))
amean(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
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.reduce.floating
Calculate the absolute mean of the given vector
AMean(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean
 
AMean(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean
 
AMean() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean
 
AMean(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean
 
AMean(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.floating.AMean
 
amean(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath
Absolute mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))
ameanNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
ameanNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the absolute overall mean of this ndarray
amin(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Absolute min array reduction operation, optionally along specified dimensions: out = min(abs(x))
amin(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Absolute min array reduction operation, optionally along specified dimensions: out = min(abs(x))
amin(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
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.reduce.same
Calculate the absolute minimum over a vector
AMin(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin
 
AMin(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin
 
AMin() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin
 
AMin(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin
 
AMin(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.AMin
 
AMin - Class in org.nd4j.linalg.api.ops.impl.transforms.same
Calculate the absolute minimum over a vector
AMin(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.AMin
 
AMin() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.AMin
 
AMin(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.AMin
 
amin(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
Broadcast absolute min op.
amin(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath
Absolute min array reduction operation, optionally along specified dimensions: out = min(abs(x))
aminNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
aminNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns absolute min value in this INDArray
AMSGrad - Class in org.nd4j.linalg.learning.config
The AMSGrad updater
Reference: On the Convergence of Adam and Beyond - https://openreview.net/forum?id=ryQu7f-RZ
AMSGrad() - Constructor for class org.nd4j.linalg.learning.config.AMSGrad
 
AMSGrad(double) - Constructor for class org.nd4j.linalg.learning.config.AMSGrad
 
AMSGrad(ISchedule) - Constructor for class org.nd4j.linalg.learning.config.AMSGrad
 
AMSGrad(double, double, double, double) - Constructor for class org.nd4j.linalg.learning.config.AMSGrad
 
AMSGrad.Builder - Class in org.nd4j.linalg.learning.config
 
AmsGradUpdater - Class in org.nd4j.linalg.api.ops.impl.updaters
 
AmsGradUpdater() - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AmsGradUpdater
 
AmsGradUpdater(INDArray, INDArray, INDArray, INDArray, double, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AmsGradUpdater
 
AmsGradUpdater(INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, INDArray, double, double, double, double, int) - Constructor for class org.nd4j.linalg.api.ops.impl.updaters.AmsGradUpdater
 
AMSGradUpdater - Class in org.nd4j.linalg.learning
The AMSGrad updater
Reference: On the Convergence of Adam and Beyond - https://openreview.net/forum?id=ryQu7f-RZ
AMSGradUpdater(AMSGrad) - Constructor for class org.nd4j.linalg.learning.AMSGradUpdater
 
and(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise
Bitwise AND operation.
and(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDBitwise
Bitwise AND operation.
and(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Boolean AND operation: elementwise (x != 0) && (y != 0)
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.
and(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Boolean AND operation: elementwise (x != 0) && (y != 0)
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.
And - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool
Boolean AND pairwise transform
And(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And
 
And(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And
 
And(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And
 
And() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And
 
And(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And
 
And(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And
 
And(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And
 
And(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And
 
and(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDBitwise
Bitwise AND operation.
and(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath
Boolean AND operation: elementwise (x != 0) && (y != 0)
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.
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
 
Angle - Class in org.nd4j.linalg.api.ops.impl.transforms
Angle op for tensorflow import
Given ND4J currently only supports real arrays; hence by definition this always outputs 0
Angle(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Angle
 
Angle() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Angle
 
any(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
Boolean or array reduction operation, optionally along specified dimensions
any(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
Boolean or array reduction operation, optionally along specified dimensions
any() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
any() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
This method checks if any of the elements within this array are non-zero (or true, in case of boolean)
Any - Class in org.nd4j.linalg.api.ops.impl.reduce.bool
Boolean AND pairwise transform
Any(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any
 
Any() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any
 
Any(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any
 
Any(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.bool.Any
 
any(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase
Boolean or array reduction operation, optionally along specified dimensions
ANY_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef
 
ANY_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CollectionDef
 
ANY_PANIC - Static variable in class org.nd4j.graph.ProfilingMode
 
anyWorkspaceActiveForCurrentThread() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager
Determine if there are any workspaces open for the current thread.
anyWorkspaceActiveForCurrentThread() - Method in class org.nd4j.linalg.api.memory.provider.BasicWorkspaceManager
 
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(I) - Method in interface org.nd4j.adapters.InputAdapter
This method converts input object to MultiDataSet
apply(INDArray...) - Method in interface org.nd4j.adapters.OutputAdapter
This method provides conversion from multiple INDArrays to T
apply(INDArray) - Method in class org.nd4j.autodiff.validation.functions.EqualityFn
 
apply(INDArray) - Method in class org.nd4j.autodiff.validation.functions.RelErrorFn
 
apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterOrEqualsThan
 
apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan
 
apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessOrEqualsThan
 
apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessThan
 
apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.And
 
apply(Number) - Method in interface org.nd4j.linalg.indexing.conditions.Condition
 
apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.ConditionEquals
 
apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.EpsilonEquals
 
apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals
 
apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.EqualsCondition
 
apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.GreaterThan
 
apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual
 
apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.IsFinite
 
apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.IsInfinite
 
apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.IsNaN
 
apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.LessThan
 
apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.LessThanOrEqual
 
apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.Not
 
apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.NotEqualsCondition
 
apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.NotFinite
 
apply(Number) - 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
 
apply(INDArray, INDArray, double, int, int) - Method in class org.nd4j.linalg.learning.regularization.L1Regularization
 
apply(INDArray, INDArray, double, int, int) - Method in class org.nd4j.linalg.learning.regularization.L2Regularization
 
apply(INDArray, INDArray, double, int, int) - Method in interface org.nd4j.linalg.learning.regularization.Regularization
Apply the regularization by modifying the gradient array in-place
apply(INDArray, INDArray, double, int, int) - Method in class org.nd4j.linalg.learning.regularization.WeightDecay
 
apply(INDArray, INDArray) - Method in class org.nd4j.linalg.util.ND4JTestUtils.EqualsFn
 
apply(INDArray, INDArray) - Method in class org.nd4j.linalg.util.ND4JTestUtils.EqualsWithEpsFn
 
ApplyGradientDescent - Class in org.nd4j.linalg.api.ops.impl.shape
Reshape function
ApplyGradientDescent() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ApplyGradientDescent
 
applyLR - Variable in class org.nd4j.linalg.learning.regularization.WeightDecay
 
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
applyStep() - Method in class org.nd4j.linalg.learning.regularization.L1Regularization
 
applyStep() - Method in class org.nd4j.linalg.learning.regularization.L2Regularization
 
applyStep() - Method in interface org.nd4j.linalg.learning.regularization.Regularization
 
applyStep() - Method in class org.nd4j.linalg.learning.regularization.WeightDecay
 
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 class org.nd4j.linalg.learning.AMSGradUpdater
 
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
 
arange(double, double, double) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Array of evenly spaced values.
arange(double, double, double) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a 1D array of evenly spaced values between begin (inclusive) and end (exclusive) with a step size.
arange(double, double) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a 1D array of evenly spaced values between begin (inclusive) and end (exclusive) with a step size of 1 See Nd4j.arange(double, double, double) with step size 1.
arange(double) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a 1D array of evenly spaced values between 0 (inclusive) and end (exclusive) with a step size of 1 See Nd4j.arange(double, double, double) with begin = 0 and step size 1.
arange(double, double, double) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Array of evenly spaced values.
areEqualShapes(INDArray...) - Static method in class org.nd4j.linalg.api.ops.impl.shape.MergeMaxIndex
 
areShapesBroadcastable(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
 
areShapesBroadcastable(long[], long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
 
arg(int) - Method in class org.nd4j.autodiff.functions.DifferentialFunction
Return the specified argument for this function
arg() - Method in class org.nd4j.autodiff.functions.DifferentialFunction
Return the first argument
ARG_ORDER_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef
 
argmax(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
Argmax array reduction operation, optionally along specified dimensions.
Output values are the index of the maximum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.
argmax(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
Argmax array reduction operation, optionally along specified dimensions.
Output values are the index of the maximum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.
argmax(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
Argmax array reduction operation, optionally along specified dimensions.
Output values are the index of the maximum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.
argmax(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
Argmax array reduction operation, optionally along specified dimensions.
Output values are the index of the maximum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.
argmax(int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
argmax(String, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
argmax(String, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
Argmax array reduction operation, optionally along specified dimensions.
Output values are the index of the maximum value of each slice along the specified dimension.

Note that if keepDims = true, the output variable has the same rank as the input variable, with the reduced dimensions having size 1.
argMax(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
argMax(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
This method returns index of highest value along specified dimension(s)
ArgMax - Class in org.nd4j.linalg.api.ops.impl.indexaccum.custom
 
ArgMax() - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax
 
argMax(INDArray, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
Get the maximum values for a dimension.
argmax(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase
Argmax array reduction operation, optionally along specified dimensions.
Output values are the index of the maximum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.
argmax(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase
Argmax array reduction operation, optionally along specified dimensions.
Output values are the index of the maximum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.
argmin(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
Argmin array reduction operation, optionally along specified dimensions.
Output values are the index of the minimum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.
argmin(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
Argmin array reduction operation, optionally along specified dimensions.
Output values are the index of the minimum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.
argmin(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
Argmin array reduction operation, optionally along specified dimensions.
Output values are the index of the minimum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.
argmin(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDBaseOps
Argmin array reduction operation, optionally along specified dimensions.
Output values are the index of the minimum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.
argmin(int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
argmin(String, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
argmin(String, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SDVariable
Argmin array reduction operation, optionally along specified dimensions.
Output values are the index of the minimum value of each slice along the specified dimension.

Note that if keepDims = true, the output variable has the same rank as the input variable, with the reduced dimensions having size 1.
ArgMin - Class in org.nd4j.linalg.api.ops.impl.indexaccum.custom
ArgMin function
ArgMin() - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMin
 
argMin(INDArray, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
See Nd4j.argMax(INDArray, int...) but return minimum values.
argmin(INDArray, boolean, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase
Argmin array reduction operation, optionally along specified dimensions.
Output values are the index of the minimum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.
argmin(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDBase
Argmin array reduction operation, optionally along specified dimensions.
Output values are the index of the minimum value of each slice along the specified dimension.
Note that if keepDims = true, the output variable has the same rank as the input variable,
with the reduced dimensions having size 1.
argNames() - Method in class org.nd4j.autodiff.functions.DifferentialFunction
 
args() - Method in class org.nd4j.autodiff.functions.DifferentialFunction
Return the arguments for a given function
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.weights.GRUWeights
 
args() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.LSTMLayerWeights
 
args() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.LSTMWeights
 
args() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.RNNWeights
 
args() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.SRUWeights
 
argsWithInputs(SDVariable...) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.LSTMLayerWeights
 
argsWithInputs(INDArray...) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.LSTMLayerWeights
 
argsWithInputs(SDVariable...) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.RNNWeights
 
argsWithInputs(INDArray...) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.RNNWeights
 
ArgumentInterceptor - Interface in org.nd4j.autodiff.samediff
Internal interface used to apply a transform to any arguments used within a certain block Intended for internal use only.
arguments - Variable in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
 
ARITHMETIC_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig
 
ARRAY - Static variable in class org.nd4j.graph.UIEventType
 
ARRAY - Static variable in class org.nd4j.graph.VarType
 
array() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
array() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Returns the backing array of this buffer (if there is one)
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.NDArrayList
Get a view of the underlying array relative to the size of the actual array.
ARRAY_LIST - Static variable in class org.nd4j.graph.UIEventType
 
arrayAlreadyExistsForVarName(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
Returns true if the given vertex id and INDArray already exist.
arrayArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.GRUWeights
 
arrayArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.LSTMLayerWeights
 
arrayArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.LSTMWeights
 
arrayArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.RNNWeights
 
arrayArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.SRUWeights
 
ArrayCacheMemoryMgr - Class in org.nd4j.autodiff.samediff.internal.memory
ArrayCacheMemoryMgr reuses arrays to reduce the number of memory allocations and deallocations.
Memory allocations and deallocations can be quite expensive, especially on GPUs.
Note that when arrays are reused, they are reused for the same datatype only.
If caching a released array would result in the the maximum cache size being is exceeded, the oldest arrays will be deallocated first, until the new array can in the cache.
ArrayCacheMemoryMgr() - Constructor for class org.nd4j.autodiff.samediff.internal.memory.ArrayCacheMemoryMgr
Create an ArrayCacheMemoryMgr with default settings as per ArrayCacheMemoryMgr
ArrayCacheMemoryMgr(double, long, double) - Constructor for class org.nd4j.autodiff.samediff.internal.memory.ArrayCacheMemoryMgr
 
ArrayCacheMemoryMgr.ArrayStore - Class in org.nd4j.autodiff.samediff.internal.memory
 
ArrayCloseMemoryMgr - Class in org.nd4j.autodiff.samediff.internal.memory
A simple memory management strategy that deallocates memory as soon as it is no longer needed.
This should result in a minimal amount of memory, but will have some overhead - notably, the cost of deallocating and reallocating memory all the time.
ArrayCloseMemoryMgr() - Constructor for class org.nd4j.autodiff.samediff.internal.memory.ArrayCloseMemoryMgr
 
ArrayDescriptor - Class in org.nd4j.linalg.cache
This is utility class, made to compare java arrays for caching purposes.
ArrayDescriptor(boolean[], DataType) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor
 
ArrayDescriptor(int[], DataType) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor
 
ArrayDescriptor(float[], DataType) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor
 
ArrayDescriptor(double[], DataType) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor
 
ArrayDescriptor(long[], DataType) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor
 
arrayFor(long[], J) - Method in interface org.nd4j.imports.graphmapper.tf.tensors.TFTensorMapper
 
arrayFor(long[], float[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BFloat16TensorMapper
 
arrayFor(long[], boolean[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.BoolTensorMapper
 
arrayFor(long[], float[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float16TensorMapper
 
arrayFor(long[], float[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float32TensorMapper
 
arrayFor(long[], double[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Float64TensorMapper
 
arrayFor(long[], int[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int16TensorMapper
 
arrayFor(long[], int[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int32TensorMapper
 
arrayFor(long[], long[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int64TensorMapper
 
arrayFor(long[], int[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.Int8TensorMapper
 
arrayFor(long[], String[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.StringTensorMapper
 
arrayFor(long[], int[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt16TensorMapper
 
arrayFor(long[], long[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt32TensorMapper
 
arrayFor(long[], long[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt64TensorMapper
 
arrayFor(long[], int[]) - Method in class org.nd4j.imports.graphmapper.tf.tensors.TFTensorMappers.UInt8TensorMapper
 
ArrayHolder - Interface in org.nd4j.autodiff.samediff
Holds a set of arrays keyed by a String name, functioning essentially like a Map<String,INDArray>.
Implementations may have different internal ways of storing arrays, however.
For example for single threaded applications: SingleThreadArrayHolder
And for multi-threaded: ThreadSafeArrayHolder
arrayId - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
arrayInfo(INDArray) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
 
arrayNames() - Method in class org.nd4j.autodiff.samediff.array.SingleThreadArrayHolder
 
arrayNames() - Method in class org.nd4j.autodiff.samediff.array.ThreadSafeArrayHolder
 
arrayNames() - Method in interface org.nd4j.autodiff.samediff.ArrayHolder
 
ArrayOptionsHelper - Class in org.nd4j.linalg.api.shape.options
 
ArrayOptionsHelper() - Constructor for class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper
 
arrayOrdering - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy
 
ArraySavingListener - Class in org.nd4j.autodiff.listeners.debugging
 
ArraySavingListener(File) - Constructor for class org.nd4j.autodiff.listeners.debugging.ArraySavingListener
 
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
ArrayStore() - Constructor for class org.nd4j.autodiff.samediff.internal.memory.ArrayCacheMemoryMgr.ArrayStore
 
ArrayType - Enum in org.nd4j.linalg.api.concurrency
This enum describes possible types of DistributedINDArray
arrayType(long[]) - Static method in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper
 
ArrayType - Enum in org.nd4j.linalg.api.shape.options
 
asArray() - Method in class org.nd4j.autodiff.execution.input.Operands
This method return operands as array, in order of addition
asBoolPointer() - Method in class org.nd4j.linalg.api.memory.pointers.PagedPointer
 
asBytePointer() - Method in class org.nd4j.linalg.api.memory.pointers.PagedPointer
 
asBytes() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
asBytes() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Raw byte array storage
asCollection() - Method in class org.nd4j.autodiff.execution.input.Operands
This method returns contents of this entity as collection of key->value pairs
asDataType(DataType) - Method in class org.nd4j.linalg.api.shape.LongShapeDescriptor
Return a new LongShapeDescriptor with the same shape, strides, order etc but with the specified datatype instead
asDouble() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
asDouble() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Return the buffer as a double array Relative to the datatype, this will either be a copy or a reference.
asDoublePointer() - Method in class org.nd4j.linalg.api.memory.pointers.PagedPointer
 
asFlatBuffers(ExecutorConfiguration, boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff
This method exports the current SameDiff instance into FlatBuffers format, returning the array ops and all arrays as a ByteBuffer containing the FlatBuffers format data
asFlatBuffers(long, ExecutorConfiguration, boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff
This method exports the current SameDiff instance into FlatBuffers format, returning the array ops and all arrays as a ByteBuffer containing the FlatBuffers format data
asFlatBuffers(boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff
This method exports the current SameDiff instance into FlatBuffers format, returning the array ops and all arrays as a ByteBuffer containing the FlatBuffers format data Uses the default ExecutorConfiguration with output mode as OutputMode.VARIABLE_SPACE, execution mode as ExecutionMode.SEQUENTIAL, with profiling disabled and gather timings enabled.
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
This includes the updater state, if applicable.
asFlatFile(File, boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff
asFlatFile(File, ExecutorConfiguration, boolean) - 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
asFlatGraph(boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff
asFlatGraph(long, ExecutorConfiguration, boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff
This method returns FlatGraph structure
asFlatNode(String, SameDiff, FlatBufferBuilder) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
asFlatNode(SameDiff, DifferentialFunction, FlatBufferBuilder, List<SDVariable>, Map<String, Integer>, Map<String, Integer>, Map<String, Integer>, AtomicInteger, Integer) - Static method in class org.nd4j.autodiff.samediff.serde.FlatBuffersMapper
 
asFlatPrint() - Method in class org.nd4j.autodiff.samediff.SameDiff
This method returns a text representation of the "flattened" graph.
asFloat() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
asFloat() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Return the buffer as a float array Relative to the datatype, this will either be a copy or a reference.
asFloatPointer() - Method in class org.nd4j.linalg.api.memory.pointers.PagedPointer
 
asin(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise asin (arcsin, inverse sine) operation: out = arcsin(x)
asin(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise asin (arcsin, inverse sine) operation: out = arcsin(x)
ASin - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
Arcsin elementwise function
ASin(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ASin
 
ASin(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ASin
 
ASin(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ASin
 
ASin(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ASin
 
asin(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath
Elementwise asin (arcsin, inverse sine) operation: out = arcsin(x)
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
 
asinh(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise asinh (inverse hyperbolic sine) function: out = asinh(x)
asinh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise asinh (inverse hyperbolic sine) function: out = asinh(x)
ASinh - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
Arcsin elementwise function
ASinh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ASinh
 
ASinh(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ASinh
 
ASinh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ASinh
 
ASinh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ASinh
 
ASinh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ASinh
 
asinh(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath
Elementwise asinh (inverse hyperbolic sine) function: out = asinh(x)
asInt() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
asInt() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Return the buffer as an int array Relative to the datatype, this will either be a copy or a reference.
asIntPointer() - Method in class org.nd4j.linalg.api.memory.pointers.PagedPointer
 
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
 
asLong() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
asLong() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Return the buffer as an long array Relative to the datatype, this will either be a copy or a reference.
asLongPointer() - Method in class org.nd4j.linalg.api.memory.pointers.PagedPointer
 
asNio() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
asNio() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Returns a view of this as an nio byte buffer
asNioDouble() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
asNioDouble() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Returns a view of this as an nio byte buffer
asNioFloat() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
asNioFloat() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Returns a view of this as an nio byte buffer
asNioInt() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
asNioInt() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Returns a view of this as an nio byte buffer
asNioLong() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
asNioLong() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
 
asPercentageString() - Method in class org.nd4j.linalg.profiler.data.StringAggregator
 
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
Assert - Class in org.nd4j.linalg.api.ops.impl.transforms
Assertion op wrapper
Assert() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Assert
 
assertAllReleasedExcept(Collection<INDArray>) - Method in class org.nd4j.autodiff.samediff.internal.memory.CloseValidationMemoryMgr
Check that all arrays have been released (after an inference call) except for the specified arrays.
assertBroadcastable(String, INDArray, INDArray, INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
Assert that the broadcast operation result = first.op(second) is valid, given the shapes of first, second, and result.
Throws an exception otherwise
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
 
assertBroadcastable(long[], long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
 
assertBroadcastable(long[], long[], Class<?>) - Static method in class org.nd4j.linalg.api.shape.Shape
 
assertColumns(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
 
assertConfigValid() - Method in class org.nd4j.autodiff.validation.TestCase
 
assertCurrentWorkspace(T, String) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr
 
assertCurrentWorkspace(T, String) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr
Assert that the current workspace is the one for the specified array type.
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)
assertNotOpen(T, String) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr
 
assertNotOpen(T, String) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr
Assert thath the workspace for the specified array type is not open.
assertNoWorkspacesOpen(String) - Static method in class org.nd4j.linalg.workspace.WorkspaceUtils
Assert that no workspaces are currently open
assertNoWorkspacesOpen(String, boolean) - Static method in class org.nd4j.linalg.workspace.WorkspaceUtils
Assert that no workspaces are currently open
assertOpen(T, String) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr
 
assertOpen(T, String) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr
Assert thath the workspace for the specified array type is open.
assertOpenActiveAndCurrent(String, String) - Static method in class org.nd4j.linalg.workspace.WorkspaceUtils
Assert that the specified workspace is open, active, and is the current workspace
assertOpenAndActive(String, String) - Static method in class org.nd4j.linalg.workspace.WorkspaceUtils
Assert that the specified workspace is open and active
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
assertSameLength(INDArray, INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
 
assertSameShape(INDArray, INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
 
assertSameShape(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
 
assertShape(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.BaseActivationFunction
 
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]
assertShapeLessThan(long[], long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
 
assertSlice(INDArray, long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
assertValidArray(INDArray, String) - Static method in class org.nd4j.linalg.workspace.WorkspaceUtils
Assert that the specified array is valid, in terms of workspaces: i.e., if it is attached (and not in a circular workspace), assert that the workspace is open, and that the data is not from an old generation.
assertValidForExecution() - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
 
assertValidForExecution() - Method in interface org.nd4j.linalg.api.ops.CustomOp
Asserts a valid state for execution, otherwise throws an ND4JIllegalStateException
assertValidForExecution() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
assertValidForExecution() - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.SliceBp
 
assertValidForExecution() - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.StridedSliceBp
 
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.StridedSlice
 
assertValidForExecution() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Fill
 
assertValidNum(INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
 
assertValidOrder(char) - Static method in class org.nd4j.linalg.api.shape.Shape
 
assertVector(INDArray...) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
 
assertVector(INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
 
ASSET_FILE_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MetaGraphDef
 
AssetFileDef - Class in org.tensorflow.framework
An asset file def for a single file or a set of sharded files with the same name.
AssetFileDef.Builder - Class in org.tensorflow.framework
An asset file def for a single file or a set of sharded files with the same name.
AssetFileDefOrBuilder - Interface in org.tensorflow.framework
 
asShortPointer() - Method in class org.nd4j.linalg.api.memory.pointers.PagedPointer
 
assign(Number) - Method in class org.nd4j.autodiff.samediff.SDVariable
Return a variable with equal shape to the input, but all elements set to the specified value
assign(long[], float[], boolean, long) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
assign(long[], double[], boolean, long) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
assign(DataBuffer) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
assign(long[], float[], boolean) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
assign(long[], double[], boolean) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
assign(Number) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
assign(long[], long[], DataBuffer...) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
assign(Number, long) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
assign(long[], long[], long, DataBuffer...) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
assign(DataBuffer...) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
assign(long[], float[], boolean, long) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Assign the given elements to the given indices
assign(long[], double[], boolean, long) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Assign the given elements to the given indices
assign(long[], float[], boolean) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Assign the given elements to the given indices
assign(long[], double[], boolean) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Assign the given elements to the given indices
assign(Number) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Assign the given value to the buffer
assign(Number, long) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Assign the given value to the buffer starting at offset
assign(DataBuffer) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Assign the contents of this buffer to this buffer
assign(long[], long[], long, DataBuffer...) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Assign the given buffers to this buffer based on the given offsets and strides.
assign(DataBuffer...) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Assign the given data buffers to this buffer
assign(long[], long[], DataBuffer...) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Assign the given buffers to this buffer based on the given offsets and strides.
assign(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
assign(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
assign(boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
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(boolean) - 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.any
Identity function
Assign(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.any.Assign
 
Assign() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.any.Assign
 
Assign(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.any.Assign
 
Assign(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.any.Assign
 
Assign - Class in org.nd4j.linalg.api.ops.impl.transforms.custom
Assign op: x = y, with broadcast as required
Assign() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Assign
 
Assign(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Assign
 
Assign(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Assign
 
Assign(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.Assign
 
assignArray(INDArray, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Update the constant or variable type SDVariable with the values from the specified array.
assignIf(INDArray, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
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, String) - Method in class org.nd4j.autodiff.samediff.SameDiff
Associate the array with the given variable.
associateArrayWithVariable(INDArray, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Associate the array with the given variable.
associateSameDiffWithOpsAndVariables() - Method in class org.nd4j.autodiff.samediff.SameDiff
Associate the current SameDiff instance with all ops and variables.
asString() - Method in class org.nd4j.linalg.profiler.data.StringAggregator
 
asString() - Method in class org.nd4j.linalg.profiler.data.StringCounter
 
asUIEventSubtype() - Method in enum org.nd4j.graph.ui.LogFileWriter.EventSubtype
 
asum(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Absolute sum array reduction operation, optionally along specified dimensions: out = sum(abs(x))
asum(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Absolute sum array reduction operation, optionally along specified dimensions: out = sum(abs(x))
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(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
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(long, DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.blas.Level1
sum of magnitudes of all elements
ASum - Class in org.nd4j.linalg.api.ops.impl.reduce.same
Absolute sum the components
ASum(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum
 
ASum(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum
 
ASum() - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum
 
ASum(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum
 
ASum(INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.reduce.same.ASum
 
asum(INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
 
asum(INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
Compute || x ||_1 (1-norm, sum of absolute values)
asum(INDArray, int...) - Method in class org.nd4j.linalg.factory.ops.NDMath
Absolute sum array reduction operation, optionally along specified dimensions: out = sum(abs(x))
ASYNC_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest
 
AsyncDataSetIterator - Class in org.nd4j.linalg.dataset
Async prefetching iterator wrapper for DataSetIterator implementations.
AsyncDataSetIterator() - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator
 
AsyncDataSetIterator(DataSetIterator) - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator
Create an Async iterator with the default queue size of 8
AsyncDataSetIterator(DataSetIterator, int, BlockingQueue<DataSet>) - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator
Create an Async iterator with the default queue size of 8
AsyncDataSetIterator(DataSetIterator, int) - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator
 
AsyncDataSetIterator(DataSetIterator, int, boolean) - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator
 
AsyncDataSetIterator(DataSetIterator, int, boolean, Integer) - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator
 
AsyncDataSetIterator(DataSetIterator, int, boolean, DataSetCallback) - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator
 
AsyncDataSetIterator(DataSetIterator, int, BlockingQueue<DataSet>, boolean) - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator
 
AsyncDataSetIterator(DataSetIterator, int, BlockingQueue<DataSet>, boolean, DataSetCallback) - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator
 
AsyncDataSetIterator(DataSetIterator, int, BlockingQueue<DataSet>, boolean, DataSetCallback, Integer) - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator
 
AsyncDataSetIterator.AsyncPrefetchThread - Class in org.nd4j.linalg.dataset
 
AsyncMultiDataSetIterator - Class in org.nd4j.linalg.dataset
Async prefetching iterator wrapper for MultiDataSetIterator implementations This will asynchronously prefetch the specified number of minibatches from the underlying iterator.
Also has the option (enabled by default for most constructors) to use a cyclical workspace to avoid creating INDArrays with off-heap memory that needs to be cleaned up by the JVM garbage collector.
Note that appropriate DL4J fit methods automatically utilize this iterator, so users don't need to manually wrap their iterators when fitting a network
AsyncMultiDataSetIterator() - Constructor for class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator
 
AsyncMultiDataSetIterator(MultiDataSetIterator) - Constructor for class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator
 
AsyncMultiDataSetIterator(MultiDataSetIterator, int, BlockingQueue<MultiDataSet>) - Constructor for class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator
 
AsyncMultiDataSetIterator(MultiDataSetIterator, int) - Constructor for class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator
 
AsyncMultiDataSetIterator(MultiDataSetIterator, int, boolean) - Constructor for class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator
 
AsyncMultiDataSetIterator(MultiDataSetIterator, int, boolean, Integer) - Constructor for class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator
 
AsyncMultiDataSetIterator(MultiDataSetIterator, int, BlockingQueue<MultiDataSet>, boolean) - Constructor for class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator
 
AsyncMultiDataSetIterator(MultiDataSetIterator, int, BlockingQueue<MultiDataSet>, boolean, DataSetCallback) - Constructor for class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator
 
AsyncMultiDataSetIterator(MultiDataSetIterator, int, BlockingQueue<MultiDataSet>, boolean, DataSetCallback, Integer) - Constructor for class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator
 
AsyncMultiDataSetIterator.AsyncPrefetchThread - Class in org.nd4j.linalg.dataset
 
AsyncPrefetchThread(BlockingQueue<DataSet>, DataSetIterator, DataSet, MemoryWorkspace, int) - Constructor for class org.nd4j.linalg.dataset.AsyncDataSetIterator.AsyncPrefetchThread
 
AsyncPrefetchThread(BlockingQueue<MultiDataSet>, MultiDataSetIterator, MultiDataSet, int) - Constructor for class org.nd4j.linalg.dataset.AsyncMultiDataSetIterator.AsyncPrefetchThread
 
asyncSupported() - Method in class org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter
 
asyncSupported() - Method in class org.nd4j.linalg.dataset.adapter.SingletonDataSetIterator
 
asyncSupported() - Method in class org.nd4j.linalg.dataset.adapter.SingletonMultiDataSetIterator
 
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.AsyncDataSetIterator
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.AsyncMultiDataSetIterator
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.ExistingMiniBatchDataSetIterator
 
asyncSupported() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
 
asyncSupported() - Method in class org.nd4j.linalg.dataset.ViewIterator
 
At - Class in org.nd4j.autodiff.listeners
Used in SameDiff Listener instances.
At() - Constructor for class org.nd4j.autodiff.listeners.At
 
atan(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise atan (arctangent, inverse tangent) operation: out = arctangent(x)
atan(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise atan (arctangent, inverse tangent) operation: out = arctangent(x)
ATan - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
Arc Tangent elementwise function
ATan(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ATan
 
ATan(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ATan
 
ATan(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ATan
 
ATan(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ATan
 
atan(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath
Elementwise atan (arctangent, inverse tangent) operation: out = arctangent(x)
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
 
atan2(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise atan (arctangent, inverse tangent) operation: out = atan2(x,y).
Similar to atan(y/x) but sigts of x and y are used to determine the location of the result
atan2(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise atan (arctangent, inverse tangent) operation: out = atan2(x,y).
Similar to atan(y/x) but sigts of x and y are used to determine the location of the result
ATan2 - Class in org.nd4j.linalg.api.ops.impl.transforms.custom
Arc Tangent elementwise function
ATan2(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ATan2
 
ATan2(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ATan2
Note that the order of x and y match Math.atan2(double, double), and are reversed when compared to OldATan2.
ATan2(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ATan2
Note that the order of x and y match Math.atan2(double, double), and are reversed when compared to OldATan2.
ATan2() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.custom.ATan2
 
atan2(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath
Elementwise atan (arctangent, inverse tangent) operation: out = atan2(x,y).
Similar to atan(y/x) but sigts of x and y are used to determine the location of the result
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 Math.atan2(double, double)
atanh(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise atanh (inverse hyperbolic tangent) function: out = atanh(x)
atanh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise atanh (inverse hyperbolic tangent) function: out = atanh(x)
ATanh - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
tan elementwise function
ATanh(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ATanh
 
ATanh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ATanh
 
ATanh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ATanh
 
ATanh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ATanh
 
ATanh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ATanh
 
atanh(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath
Elementwise atanh (inverse hyperbolic tangent) function: out = atanh(x)
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
attached - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
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
attempFromLegacyFromJson(String, InvalidTypeIdException) - Static method in class org.nd4j.evaluation.BaseEvaluation
Attempt to load DL4J IEvaluation JSON from 1.0.0-beta2 or earlier.
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
 
ATTRIBUTE_FIELD_NUMBER - Static variable in class onnx.Onnx.NodeProto
 
ATTRIBUTE_FIELD_NUMBER - Static variable in class onnx.OnnxMl.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.controlflow.compat.BaseCompatOp
 
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.DeConv2DTF
 
attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D
 
attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd
 
attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum
 
attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D
 
attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.MirrorPad
 
attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.ParallelConcat
 
attributeAdaptersForFunction() - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast
 
ATTRIBUTES_FIELD_NUMBER - Static variable in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject
 
ATTRS_FIELD_NUMBER - Static variable in class tensorflow.eager.EagerServiceOuterClass.Operation
 
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
 
ATYPE_COMPRESSED_BIT - Static variable in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper
 
ATYPE_EMPTY_BIT - Static variable in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper
 
ATYPE_SPARSE_BIT - Static variable in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper
 
AUDIO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Value
 
AUTO - Static variable in class org.nd4j.graph.ExecutionMode
 
AUTO_PARALLEL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RewriterConfig
 
autoDecompress(INDArray...) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
Decompress several ndarrays
autoDecompress(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
 
AutoParallelOptions - Class in org.tensorflow.framework
Protobuf type tensorflow.AutoParallelOptions