org.bytedeco.tensorflow

Class SparseAccumulatorTakeGradient

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.tensorflow.SparseAccumulatorTakeGradient

All Implemented Interfaces:

AutoCloseable

@Namespace(value="tensorflow::ops")
 @NoOffset
 @Properties(inherit=tensorflow.class)
public class SparseAccumulatorTakeGradient
extends Pointer

Extracts the average sparse gradient in a SparseConditionalAccumulator. The op will blocks until sufficient (i.e., more than num_required) gradients have been accumulated. If the accumulator has already aggregated more than num_required gradients, it will return its average of the accumulated gradients. Also automatically increments the recorded global_step in the accumulator by 1, and resets the aggregate to 0. Arguments: * scope: A Scope object * handle: The handle to a SparseConditionalAccumulator. * num_required: Number of gradients required before we return an aggregate. * dtype: The data type of accumulated gradients. Needs to correspond to the type of the accumulator. Returns: * Output indices: Indices of the average of the accumulated sparse gradients. * Output values: Values of the average of the accumulated sparse gradients. * Output shape: Shape of the average of the accumulated sparse gradients.

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
SparseAccumulatorTakeGradient(Pointer p) Pointer cast constructor.
SparseAccumulatorTakeGradient(Scope scope, Input handle, Input num_required, int dtype)

Method Summary

Modifier and Type	Method and Description
Output	indices()
SparseAccumulatorTakeGradient	indices(Output setter)
Operation	operation()
SparseAccumulatorTakeGradient	operation(Operation setter)
Output	shape()
SparseAccumulatorTakeGradient	shape(Output setter)
Output	values()
SparseAccumulatorTakeGradient	values(Output setter)

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, getDirectBufferAddress, getPointer, getPointer, getPointer, getPointer, hashCode, interruptDeallocatorThread, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, physicalBytesInaccurate, position, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

SparseAccumulatorTakeGradient

public SparseAccumulatorTakeGradient(Pointer p)

Pointer cast constructor. Invokes Pointer(Pointer).

SparseAccumulatorTakeGradient

public SparseAccumulatorTakeGradient(@Const @ByRef
                                     Scope scope,
                                     @ByVal
                                     Input handle,
                                     @ByVal
                                     Input num_required,
                                     @Cast(value="tensorflow::DataType")
                                     int dtype)

Method Detail

operation

@ByRef
public Operation operation()

operation

public SparseAccumulatorTakeGradient operation(Operation setter)

indices

@ByRef
public Output indices()

indices

public SparseAccumulatorTakeGradient indices(Output setter)

values

@ByRef
public Output values()

values

public SparseAccumulatorTakeGradient values(Output setter)

shape

@ByRef
public Output shape()

shape

public SparseAccumulatorTakeGradient shape(Output setter)