org.bytedeco.javacpp

Class tensorflow.AccumulatorApplyGradient

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.AccumulatorApplyGradient

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

\defgroup data_flow_ops Data Flow Ops \{

Applies a gradient to a given accumulator. Does not add if local_step is lesser than the accumulator's global_step. Arguments: * scope: A Scope object * handle: The handle to a accumulator. * local_step: The local_step value at which the gradient was computed. * gradient: A tensor of the gradient to be accumulated. Returns: * the created Operation

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
AccumulatorApplyGradient(Pointer p) Pointer cast constructor.
AccumulatorApplyGradient(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input local_step, tensorflow.Input gradient)

Method Summary

Modifier and Type	Method and Description
tensorflow.Operation	asOperation()
tensorflow.Operation	operation()
tensorflow.AccumulatorApplyGradient	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

AccumulatorApplyGradient

public AccumulatorApplyGradient(Pointer p)

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

AccumulatorApplyGradient

public AccumulatorApplyGradient(@Const @ByRef
                                tensorflow.Scope scope,
                                @ByVal
                                tensorflow.Input handle,
                                @ByVal
                                tensorflow.Input local_step,
                                @ByVal
                                tensorflow.Input gradient)

Method Detail

asOperation

@ByVal
 @Name(value="operator tensorflow::Operation")
public tensorflow.Operation asOperation()

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.AccumulatorApplyGradient operation(tensorflow.Operation operation)