org.bytedeco.javacpp

Class tensorflow.SparseAccumulatorTakeGradient

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.SparseAccumulatorTakeGradient

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

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(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input num_required, int dtype)

Method Summary

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

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

SparseAccumulatorTakeGradient

public SparseAccumulatorTakeGradient(Pointer p)

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

SparseAccumulatorTakeGradient

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

Method Detail

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.SparseAccumulatorTakeGradient operation(tensorflow.Operation operation)

indices

@ByRef
public tensorflow.Output indices()

indices

public tensorflow.SparseAccumulatorTakeGradient indices(tensorflow.Output indices)

values

@ByRef
public tensorflow.Output values()

values

public tensorflow.SparseAccumulatorTakeGradient values(tensorflow.Output values)

shape

@ByRef
public tensorflow.Output shape()

shape

public tensorflow.SparseAccumulatorTakeGradient shape(tensorflow.Output shape)