org.bytedeco.javacpp

Class tensorflow.SparseTensorDenseMatMul

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.SparseTensorDenseMatMul

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Multiply SparseTensor (of rank 2) "A" by dense matrix "B". No validity checking is performed on the indices of A. However, the following input format is recommended for optimal behavior: if adjoint_a == false: A should be sorted in lexicographically increasing order. Use SparseReorder if you're not sure. if adjoint_a == true: A should be sorted in order of increasing dimension 1 (i.e., "column major" order instead of "row major" order). Arguments: * scope: A Scope object * a_indices: 2-D. The indices of the SparseTensor, size [nnz, 2] Matrix. * a_values: 1-D. The values of the SparseTensor, size [nnz] Vector. * a_shape: 1-D. The shape of the SparseTensor, size [2] Vector. * b: 2-D. A dense Matrix. Optional attributes (see Attrs): * adjoint_a: Use the adjoint of A in the matrix multiply. If A is complex, this is transpose(conj(A)). Otherwise it's transpose(A). * adjoint_b: Use the adjoint of B in the matrix multiply. If B is complex, this is transpose(conj(B)). Otherwise it's transpose(B). Returns: * Output: The product tensor.

Nested Class Summary

Nested Classes

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

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
SparseTensorDenseMatMul(Pointer p) Pointer cast constructor.
SparseTensorDenseMatMul(tensorflow.Scope scope, tensorflow.Input a_indices, tensorflow.Input a_values, tensorflow.Input a_shape, tensorflow.Input b)
SparseTensorDenseMatMul(tensorflow.Scope scope, tensorflow.Input a_indices, tensorflow.Input a_values, tensorflow.Input a_shape, tensorflow.Input b, tensorflow.SparseTensorDenseMatMul.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
static tensorflow.SparseTensorDenseMatMul.Attrs	AdjointA(boolean x)
static tensorflow.SparseTensorDenseMatMul.Attrs	AdjointB(boolean x)
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.SparseTensorDenseMatMul	operation(tensorflow.Operation operation)
tensorflow.Output	product()
tensorflow.SparseTensorDenseMatMul	product(tensorflow.Output product)

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

SparseTensorDenseMatMul

public SparseTensorDenseMatMul(Pointer p)

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

SparseTensorDenseMatMul

public SparseTensorDenseMatMul(@Const @ByRef
                               tensorflow.Scope scope,
                               @ByVal
                               tensorflow.Input a_indices,
                               @ByVal
                               tensorflow.Input a_values,
                               @ByVal
                               tensorflow.Input a_shape,
                               @ByVal
                               tensorflow.Input b)

SparseTensorDenseMatMul

public SparseTensorDenseMatMul(@Const @ByRef
                               tensorflow.Scope scope,
                               @ByVal
                               tensorflow.Input a_indices,
                               @ByVal
                               tensorflow.Input a_values,
                               @ByVal
                               tensorflow.Input a_shape,
                               @ByVal
                               tensorflow.Input b,
                               @Const @ByRef
                               tensorflow.SparseTensorDenseMatMul.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()

AdjointA

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

AdjointB

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

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.SparseTensorDenseMatMul operation(tensorflow.Operation operation)

product

@ByRef
public tensorflow.Output product()

product

public tensorflow.SparseTensorDenseMatMul product(tensorflow.Output product)