org.bytedeco.javacpp

Class tensorflow.SparseAddGrad

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.SparseAddGrad

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

The gradient operator for the SparseAdd op. The SparseAdd op calculates A + B, where A, B, and the sum are all represented as SparseTensor objects. This op takes in the upstream gradient w.r.t. non-empty values of the sum, and outputs the gradients w.r.t. the non-empty values of A and B. Arguments: * scope: A Scope object * backprop_val_grad: 1-D with shape [nnz(sum)]. The gradient with respect to the non-empty values of the sum. * a_indices: 2-D. The indices of the SparseTensor A, size [nnz(A), ndims]. * b_indices: 2-D. The indices of the SparseTensor B, size [nnz(B), ndims]. * sum_indices: 2-D. The indices of the sum SparseTensor, size [nnz(sum), ndims]. Returns: * Output a_val_grad: 1-D with shape [nnz(A)]. The gradient with respect to the non-empty values of A. * Output b_val_grad: 1-D with shape [nnz(B)]. The gradient with respect to the non-empty values of B.

Nested Class Summary

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
SparseAddGrad(Pointer p) Pointer cast constructor.
SparseAddGrad(tensorflow.Scope scope, tensorflow.Input backprop_val_grad, tensorflow.Input a_indices, tensorflow.Input b_indices, tensorflow.Input sum_indices)

Method Summary

Modifier and Type	Method and Description
tensorflow.Output	a_val_grad()
tensorflow.SparseAddGrad	a_val_grad(tensorflow.Output a_val_grad)
tensorflow.Output	b_val_grad()
tensorflow.SparseAddGrad	b_val_grad(tensorflow.Output b_val_grad)
tensorflow.Operation	operation()
tensorflow.SparseAddGrad	operation(tensorflow.Operation operation)

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

SparseAddGrad

public SparseAddGrad(Pointer p)

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

SparseAddGrad

public SparseAddGrad(@Const @ByRef
                     tensorflow.Scope scope,
                     @ByVal
                     tensorflow.Input backprop_val_grad,
                     @ByVal
                     tensorflow.Input a_indices,
                     @ByVal
                     tensorflow.Input b_indices,
                     @ByVal
                     tensorflow.Input sum_indices)

Method Detail

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.SparseAddGrad operation(tensorflow.Operation operation)

a_val_grad

@ByRef
public tensorflow.Output a_val_grad()

a_val_grad

public tensorflow.SparseAddGrad a_val_grad(tensorflow.Output a_val_grad)

b_val_grad

@ByRef
public tensorflow.Output b_val_grad()

b_val_grad

public tensorflow.SparseAddGrad b_val_grad(tensorflow.Output b_val_grad)