org.bytedeco.javacpp

Class tensorflow.MatMul

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.MatMul

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Multiply the matrix "a" by the matrix "b". The inputs must be two-dimensional matrices and the inner dimension of "a" (after being transposed if transpose_a is true) must match the outer dimension of "b" (after being transposed if transposed_b is true). *Note*: The default kernel implementation for MatMul on GPUs uses cublas. Arguments: * scope: A Scope object Optional attributes (see Attrs): * transpose_a: If true, "a" is transposed before multiplication. * transpose_b: If true, "b" is transposed before multiplication. Returns: * Output: The product tensor.

Nested Class Summary

Nested Classes

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

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
MatMul(Pointer p) Pointer cast constructor.
MatMul(tensorflow.Scope scope, tensorflow.Input a, tensorflow.Input b)
MatMul(tensorflow.Scope scope, tensorflow.Input a, tensorflow.Input b, tensorflow.MatMul.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.MatMul	operation(tensorflow.Operation operation)
tensorflow.Output	product()
tensorflow.MatMul	product(tensorflow.Output product)
static tensorflow.MatMul.Attrs	TransposeA(boolean x)
static tensorflow.MatMul.Attrs	TransposeB(boolean x)

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

MatMul

public MatMul(Pointer p)

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

MatMul

public MatMul(@Const @ByRef
              tensorflow.Scope scope,
              @ByVal
              tensorflow.Input a,
              @ByVal
              tensorflow.Input b)

MatMul

public MatMul(@Const @ByRef
              tensorflow.Scope scope,
              @ByVal
              tensorflow.Input a,
              @ByVal
              tensorflow.Input b,
              @Const @ByRef
              tensorflow.MatMul.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()

TransposeA

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

TransposeB

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

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.MatMul operation(tensorflow.Operation operation)

product

@ByRef
public tensorflow.Output product()

product

public tensorflow.MatMul product(tensorflow.Output product)