org.bytedeco.javacpp

Class tensorflow.SparseMatMul

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.SparseMatMul

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Multiply matrix "a" by matrix "b". The inputs must be two-dimensional matrices and the inner dimension of "a" must match the outer dimension of "b". Both "a" and "b" must be Tensors not SparseTensors. This op is optimized for the case where at least one of "a" or "b" is sparse, in the sense that they have a large proportion of zero values. The breakeven for using this versus a dense matrix multiply on one platform was 30% zero values in the sparse matrix. The gradient computation of this operation will only take advantage of sparsity in the input gradient when that gradient comes from a Relu. Arguments: * scope: A Scope object Returns: * Output: The product tensor.

Nested Class Summary

Nested Classes

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

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

Method Summary

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

SparseMatMul

public SparseMatMul(Pointer p)

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

SparseMatMul

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

SparseMatMul

public SparseMatMul(@Const @ByRef
                    tensorflow.Scope scope,
                    @ByVal
                    tensorflow.Input a,
                    @ByVal
                    tensorflow.Input b,
                    @Const @ByRef
                    tensorflow.SparseMatMul.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.SparseMatMul.Attrs TransposeA(@Cast(value="bool")
                                                               boolean x)

TransposeB

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

AIsSparse

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

BIsSparse

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

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.SparseMatMul operation(tensorflow.Operation operation)

product

@ByRef
public tensorflow.Output product()

product

public tensorflow.SparseMatMul product(tensorflow.Output product)