org.bytedeco.javacpp

Class tensorflow.ApplyProximalGradientDescent

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.ApplyProximalGradientDescent

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Update '*var' as FOBOS algorithm with fixed learning rate. prox_v = var - alpha * delta var = sign(prox_v)/(1+alpha*l2) * max{|prox_v|-alpha*l1,0} Arguments: * scope: A Scope object * var: Should be from a Variable(). * alpha: Scaling factor. Must be a scalar. * l1: L1 regularization. Must be a scalar. * l2: L2 regularization. Must be a scalar. * delta: The change. Optional attributes (see Attrs): * use_locking: If True, the subtraction 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.ApplyProximalGradientDescent.Attrs Optional attribute setters for ApplyProximalGradientDescent

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
ApplyProximalGradientDescent(Pointer p) Pointer cast constructor.
ApplyProximalGradientDescent(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input alpha, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input delta)
ApplyProximalGradientDescent(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input alpha, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input delta, tensorflow.ApplyProximalGradientDescent.Attrs attrs)

Method Summary

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

ApplyProximalGradientDescent

public ApplyProximalGradientDescent(Pointer p)

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

ApplyProximalGradientDescent

public ApplyProximalGradientDescent(@Const @ByRef
                                    tensorflow.Scope scope,
                                    @ByVal
                                    tensorflow.Input var,
                                    @ByVal
                                    tensorflow.Input alpha,
                                    @ByVal
                                    tensorflow.Input l1,
                                    @ByVal
                                    tensorflow.Input l2,
                                    @ByVal
                                    tensorflow.Input delta)

ApplyProximalGradientDescent

public ApplyProximalGradientDescent(@Const @ByRef
                                    tensorflow.Scope scope,
                                    @ByVal
                                    tensorflow.Input var,
                                    @ByVal
                                    tensorflow.Input alpha,
                                    @ByVal
                                    tensorflow.Input l1,
                                    @ByVal
                                    tensorflow.Input l2,
                                    @ByVal
                                    tensorflow.Input delta,
                                    @Const @ByRef
                                    tensorflow.ApplyProximalGradientDescent.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.ApplyProximalGradientDescent.Attrs UseLocking(@Cast(value="bool")
                                                                               boolean x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.ApplyProximalGradientDescent operation(tensorflow.Operation operation)

out

@ByRef
public tensorflow.Output out()

out

public tensorflow.ApplyProximalGradientDescent out(tensorflow.Output out)