org.bytedeco.javacpp

Class tensorflow.BatchMatMul

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.BatchMatMul

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.BatchMatMul
extends Pointer

Multiplies slices of two tensors in batches. Multiplies all slices of Tensor x and y (each slice can be viewed as an element of a batch), and arranges the individual results in a single output tensor of the same batch size. Each of the individual slices can optionally be adjointed (to adjoint a matrix means to transpose and conjugate it) before multiplication by setting the adj_x or adj_y flag to True, which are by default False. The input tensors x and y are 2-D or higher with shape [..., r_x, c_x] and [..., r_y, c_y]. The output tensor is 2-D or higher with shape [..., r_o, c_o], where: r_o = c_x if adj_x else r_x c_o = r_y if adj_y else c_y It is computed as: output[..., :, :] = matrix(x[..., :, :]) * matrix(y[..., :, :]) Arguments: * scope: A Scope object * x: 2-D or higher with shape [..., r_x, c_x]. * y: 2-D or higher with shape [..., r_y, c_y]. Optional attributes (see Attrs): * adj_x: If True, adjoint the slices of x. Defaults to False. * adj_y: If True, adjoint the slices of y. Defaults to False. Returns: * Output: 3-D or higher with shape [..., r_o, c_o]

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.BatchMatMul.Attrs Optional attribute setters for BatchMatMul

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
BatchMatMul(Pointer p) Pointer cast constructor.
BatchMatMul(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
BatchMatMul(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y, tensorflow.BatchMatMul.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
static tensorflow.BatchMatMul.Attrs	AdjX(boolean x)
static tensorflow.BatchMatMul.Attrs	AdjY(boolean x)
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.BatchMatMul	operation(tensorflow.Operation operation)
tensorflow.Output	output()
tensorflow.BatchMatMul	output(tensorflow.Output output)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

BatchMatMul

public BatchMatMul(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

BatchMatMul

public BatchMatMul(@Const @ByRef
                   tensorflow.Scope scope,
                   @ByVal
                   tensorflow.Input x,
                   @ByVal
                   tensorflow.Input y)

BatchMatMul

public BatchMatMul(@Const @ByRef
                   tensorflow.Scope scope,
                   @ByVal
                   tensorflow.Input x,
                   @ByVal
                   tensorflow.Input y,
                   @Const @ByRef
                   tensorflow.BatchMatMul.Attrs attrs)

Method Detail

asOutput

@ByVal
 @Name(value="operator tensorflow::Output")
public tensorflow.Output asOutput()

asInput

@ByVal
 @Name(value="operator tensorflow::Input")
public tensorflow.Input asInput()

node

public tensorflow.Node node()

AdjX

@ByVal
public static tensorflow.BatchMatMul.Attrs AdjX(@Cast(value="bool")
                                                        boolean x)

AdjY

@ByVal
public static tensorflow.BatchMatMul.Attrs AdjY(@Cast(value="bool")
                                                        boolean x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.BatchMatMul operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.BatchMatMul output(tensorflow.Output output)