org.bytedeco.javacpp

Class tensorflow.SparseSliceGrad

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.SparseSliceGrad

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

The gradient operator for the SparseSlice op. This op takes in the upstream gradient w.r.t. non-empty values of the sliced SparseTensor, and outputs the gradients w.r.t. the non-empty values of input SparseTensor. Arguments: * scope: A Scope object * backprop_val_grad: 1-D. The gradient with respect to the non-empty values of the sliced SparseTensor. * input_indices: 2-D. The indices of the input SparseTensor. * input_start: 1-D. tensor represents the start of the slice. * output_indices: 2-D. The indices of the sliced SparseTensor. Returns: * Output: 1-D. The gradient with respect to the non-empty values of input SparseTensor.

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
SparseSliceGrad(Pointer p) Pointer cast constructor.
SparseSliceGrad(tensorflow.Scope scope, tensorflow.Input backprop_val_grad, tensorflow.Input input_indices, tensorflow.Input input_start, tensorflow.Input output_indices)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.SparseSliceGrad	operation(tensorflow.Operation operation)
tensorflow.Output	val_grad()
tensorflow.SparseSliceGrad	val_grad(tensorflow.Output val_grad)

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

SparseSliceGrad

public SparseSliceGrad(Pointer p)

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

SparseSliceGrad

public SparseSliceGrad(@Const @ByRef
                       tensorflow.Scope scope,
                       @ByVal
                       tensorflow.Input backprop_val_grad,
                       @ByVal
                       tensorflow.Input input_indices,
                       @ByVal
                       tensorflow.Input input_start,
                       @ByVal
                       tensorflow.Input output_indices)

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()

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.SparseSliceGrad operation(tensorflow.Operation operation)

val_grad

@ByRef
public tensorflow.Output val_grad()

val_grad

public tensorflow.SparseSliceGrad val_grad(tensorflow.Output val_grad)