org.bytedeco.javacpp

Class tensorflow.ApplyAdadelta

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.ApplyAdadelta

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

\defgroup training_ops Training Ops \{

Update '*var' according to the adadelta scheme. accum = rho() * accum + (1 - rho()) * grad.square(); update = (update_accum + epsilon).sqrt() * (accum + epsilon()).rsqrt() * grad; update_accum = rho() * update_accum + (1 - rho()) * update.square(); var -= update; Arguments: * scope: A Scope object * var: Should be from a Variable(). * accum: Should be from a Variable(). * accum_update: Should be from a Variable(). * lr: Scaling factor. Must be a scalar. * rho: Decay factor. Must be a scalar. * epsilon: Constant factor. Must be a scalar. * grad: The gradient. Optional attributes (see Attrs): * use_locking: If True, updating of the var, accum and update_accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention. Returns: * Output: Same as "var".

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.ApplyAdadelta.Attrs Optional attribute setters for ApplyAdadelta

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
ApplyAdadelta(Pointer p) Pointer cast constructor.
ApplyAdadelta(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input accum_update, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input epsilon, tensorflow.Input grad)
ApplyAdadelta(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input accum_update, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input epsilon, tensorflow.Input grad, tensorflow.ApplyAdadelta.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.ApplyAdadelta	operation(tensorflow.Operation operation)
tensorflow.Output	out()
tensorflow.ApplyAdadelta	out(tensorflow.Output out)
static tensorflow.ApplyAdadelta.Attrs	UseLocking(boolean x)

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

ApplyAdadelta

public ApplyAdadelta(Pointer p)

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

ApplyAdadelta

public ApplyAdadelta(@Const @ByRef
                     tensorflow.Scope scope,
                     @ByVal
                     tensorflow.Input var,
                     @ByVal
                     tensorflow.Input accum,
                     @ByVal
                     tensorflow.Input accum_update,
                     @ByVal
                     tensorflow.Input lr,
                     @ByVal
                     tensorflow.Input rho,
                     @ByVal
                     tensorflow.Input epsilon,
                     @ByVal
                     tensorflow.Input grad)

ApplyAdadelta

public ApplyAdadelta(@Const @ByRef
                     tensorflow.Scope scope,
                     @ByVal
                     tensorflow.Input var,
                     @ByVal
                     tensorflow.Input accum,
                     @ByVal
                     tensorflow.Input accum_update,
                     @ByVal
                     tensorflow.Input lr,
                     @ByVal
                     tensorflow.Input rho,
                     @ByVal
                     tensorflow.Input epsilon,
                     @ByVal
                     tensorflow.Input grad,
                     @Const @ByRef
                     tensorflow.ApplyAdadelta.Attrs attrs)

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()

UseLocking

@ByVal
public static tensorflow.ApplyAdadelta.Attrs UseLocking(@Cast(value="bool")
                                                                boolean x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.ApplyAdadelta operation(tensorflow.Operation operation)

out

@ByRef
public tensorflow.Output out()

out

public tensorflow.ApplyAdadelta out(tensorflow.Output out)