default Tensor |
Tensor.add(Tensor argument) |
|
default Tensor |
Tensor.approxEqual(Tensor argument) |
|
default Tensor |
Tensor.argmax(java.lang.String dimension) |
|
default Tensor |
Tensor.argmin(java.lang.String dimension) |
|
default Tensor |
Tensor.atan2(Tensor argument) |
|
default Tensor |
Tensor.avg() |
|
default Tensor |
Tensor.avg(java.lang.String dimension) |
|
default Tensor |
Tensor.avg(java.util.List<java.lang.String> dimensions) |
|
Tensor |
Tensor.Builder.build() |
|
default Tensor |
Tensor.concat(double argument,
java.lang.String dimension) |
|
default Tensor |
Tensor.concat(Tensor argument,
java.lang.String dimension) |
|
default Tensor |
Tensor.count() |
|
default Tensor |
Tensor.count(java.lang.String dimension) |
|
default Tensor |
Tensor.count(java.util.List<java.lang.String> dimensions) |
|
static Tensor |
Tensor.diag(TensorType type) |
|
default Tensor |
Tensor.divide(Tensor argument) |
|
default Tensor |
Tensor.equal(Tensor argument) |
|
default Tensor |
Tensor.fmod(Tensor argument) |
|
static Tensor |
Tensor.from(double value) |
Returns a double as a tensor: A dimensionless tensor containing the value as its cell
|
static Tensor |
Tensor.from(TensorType type,
java.lang.String tensorString) |
Returns a tensor instance containing the given data on the standard string format returned by toString
|
static Tensor |
Tensor.from(java.lang.String tensorString) |
Returns a tensor instance containing the given data on the standard string format returned by toString.
|
static Tensor |
Tensor.from(java.lang.String tensorType,
java.lang.String tensorString) |
Returns a tensor instance containing the given data on the standard string format returned by toString
|
static Tensor |
Tensor.generate(TensorType type,
java.util.function.Function<java.util.List<java.lang.Long>,java.lang.Double> valueSupplier) |
|
default Tensor |
Tensor.join(Tensor argument,
java.util.function.DoubleBinaryOperator combinator) |
|
default Tensor |
Tensor.l1Normalize(java.lang.String dimension) |
|
default Tensor |
Tensor.l2Normalize(java.lang.String dimension) |
|
default Tensor |
Tensor.larger(Tensor argument) |
|
default Tensor |
Tensor.largerOrEqual(Tensor argument) |
|
default Tensor |
Tensor.ldexp(Tensor argument) |
|
default Tensor |
Tensor.map(java.util.function.DoubleUnaryOperator mapper) |
|
default Tensor |
Tensor.matmul(Tensor argument,
java.lang.String dimension) |
|
default Tensor |
Tensor.max() |
|
default Tensor |
Tensor.max(Tensor argument) |
|
default Tensor |
Tensor.max(java.lang.String dimension) |
|
default Tensor |
Tensor.max(java.util.List<java.lang.String> dimensions) |
|
Tensor |
IndexedTensor.merge(java.util.function.DoubleBinaryOperator op,
java.util.Map<TensorAddress,java.lang.Double> cells) |
|
Tensor |
MappedTensor.merge(java.util.function.DoubleBinaryOperator op,
java.util.Map<TensorAddress,java.lang.Double> addCells) |
|
Tensor |
MixedTensor.merge(java.util.function.DoubleBinaryOperator op,
java.util.Map<TensorAddress,java.lang.Double> addCells) |
|
Tensor |
Tensor.merge(java.util.function.DoubleBinaryOperator op,
java.util.Map<TensorAddress,java.lang.Double> cells) |
Returns a new tensor where existing cells in this tensor have been
modified according to the given operation and cells in the given map.
|
default Tensor |
Tensor.min() |
|
default Tensor |
Tensor.min(Tensor argument) |
|
default Tensor |
Tensor.min(java.lang.String dimension) |
|
default Tensor |
Tensor.min(java.util.List<java.lang.String> dimensions) |
|
default Tensor |
Tensor.modify(java.util.function.DoubleBinaryOperator op,
java.util.Map<TensorAddress,java.lang.Double> cells) |
Returns a new tensor where existing cells in this tensor have been
modified according to the given operation and cells in the given map.
|
default Tensor |
Tensor.multiply(Tensor argument) |
|
default Tensor |
Tensor.notEqual(Tensor argument) |
|
default Tensor |
Tensor.pow(Tensor argument) |
|
default Tensor |
Tensor.prod() |
|
default Tensor |
Tensor.prod(java.lang.String dimension) |
|
default Tensor |
Tensor.prod(java.util.List<java.lang.String> dimensions) |
|
static Tensor |
Tensor.random(TensorType type) |
|
static Tensor |
Tensor.range(TensorType type) |
|
default Tensor |
Tensor.reduce(Reduce.Aggregator aggregator,
java.lang.String... dimensions) |
Aggregates cells over a set of dimensions, or over all dimensions if no dimensions are specified
|
default Tensor |
Tensor.reduce(Reduce.Aggregator aggregator,
java.util.List<java.lang.String> dimensions) |
Aggregates cells over a set of dimensions, or over all dimensions if no dimensions are specified
|
Tensor |
IndexedTensor.remove(java.util.Set<TensorAddress> addresses) |
|
Tensor |
MappedTensor.remove(java.util.Set<TensorAddress> addresses) |
|
Tensor |
MixedTensor.remove(java.util.Set<TensorAddress> addresses) |
|
Tensor |
Tensor.remove(java.util.Set<TensorAddress> addresses) |
Returns a new tensor where existing cells in this tensor have been
removed according to the given set of addresses.
|
default Tensor |
Tensor.rename(java.lang.String fromDimension,
java.lang.String toDimension) |
|
default Tensor |
Tensor.rename(java.util.List<java.lang.String> fromDimensions,
java.util.List<java.lang.String> toDimensions) |
|
default Tensor |
Tensor.smaller(Tensor argument) |
|
default Tensor |
Tensor.smallerOrEqual(Tensor argument) |
|
default Tensor |
Tensor.softmax(java.lang.String dimension) |
|
default Tensor |
Tensor.subtract(Tensor argument) |
|
default Tensor |
Tensor.sum() |
|
default Tensor |
Tensor.sum(java.lang.String dimension) |
|
default Tensor |
Tensor.sum(java.util.List<java.lang.String> dimensions) |
|
Tensor |
MappedTensor.withType(TensorType other) |
|
Tensor |
MixedTensor.withType(TensorType other) |
|
Tensor |
Tensor.withType(TensorType type) |
Returns this tensor with the given type if types are compatible
|
default Tensor |
Tensor.xwPlusB(Tensor w,
Tensor b,
java.lang.String dimension) |
|