org.bytedeco.javacpp

Class tensorflow.ApplyAddSign

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.ApplyAddSign

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Update '*var' according to the AddSign update. m_t <- beta1 * m_{t-1} + (1 - beta1) * g update <- (alpha + sign_decay * sign(g) *sign(m)) * g variable <- variable - lr_t * update Arguments: * scope: A Scope object * var: Should be from a Variable(). * m: Should be from a Variable(). * lr: Scaling factor. Must be a scalar. * alpha: Must be a scalar. * sign_decay: Must be a scalar. * beta: Must be a scalar. * grad: The gradient. Optional attributes (see Attrs): * use_locking: If True, updating of the var and m tensors is 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.ApplyAddSign.Attrs Optional attribute setters for ApplyAddSign

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
ApplyAddSign(Pointer p) Pointer cast constructor.
ApplyAddSign(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input m, tensorflow.Input lr, tensorflow.Input alpha, tensorflow.Input sign_decay, tensorflow.Input beta, tensorflow.Input grad)
ApplyAddSign(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input m, tensorflow.Input lr, tensorflow.Input alpha, tensorflow.Input sign_decay, tensorflow.Input beta, tensorflow.Input grad, tensorflow.ApplyAddSign.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.ApplyAddSign	operation(tensorflow.Operation operation)
tensorflow.Output	out()
tensorflow.ApplyAddSign	out(tensorflow.Output out)
static tensorflow.ApplyAddSign.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

ApplyAddSign

public ApplyAddSign(Pointer p)

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

ApplyAddSign

public ApplyAddSign(@Const @ByRef
                    tensorflow.Scope scope,
                    @ByVal
                    tensorflow.Input var,
                    @ByVal
                    tensorflow.Input m,
                    @ByVal
                    tensorflow.Input lr,
                    @ByVal
                    tensorflow.Input alpha,
                    @ByVal
                    tensorflow.Input sign_decay,
                    @ByVal
                    tensorflow.Input beta,
                    @ByVal
                    tensorflow.Input grad)

ApplyAddSign

public ApplyAddSign(@Const @ByRef
                    tensorflow.Scope scope,
                    @ByVal
                    tensorflow.Input var,
                    @ByVal
                    tensorflow.Input m,
                    @ByVal
                    tensorflow.Input lr,
                    @ByVal
                    tensorflow.Input alpha,
                    @ByVal
                    tensorflow.Input sign_decay,
                    @ByVal
                    tensorflow.Input beta,
                    @ByVal
                    tensorflow.Input grad,
                    @Const @ByRef
                    tensorflow.ApplyAddSign.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.ApplyAddSign.Attrs UseLocking(@Cast(value="bool")
                                                               boolean x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.ApplyAddSign operation(tensorflow.Operation operation)

out

@ByRef
public tensorflow.Output out()

out

public tensorflow.ApplyAddSign out(tensorflow.Output out)