org.bytedeco.javacpp

Class tensorflow.SparseApplyProximalGradientDescent

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.SparseApplyProximalGradientDescent

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Sparse update '*var' as FOBOS algorithm with fixed learning rate. That is for rows we have grad for, we update var as follows: $$prox_v = var - alpha * grad$$ $$var = sign(prox_v)/(1+alpha*l2) * max{|prox_v|-alpha*l1,0}$$ 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. * grad: The gradient. * indices: A vector of indices into the first dimension of var and accum. 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.SparseApplyProximalGradientDescent.Attrs Optional attribute setters for SparseApplyProximalGradientDescent

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
SparseApplyProximalGradientDescent(Pointer p) Pointer cast constructor.
SparseApplyProximalGradientDescent(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input alpha, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input grad, tensorflow.Input indices)
SparseApplyProximalGradientDescent(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input alpha, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input grad, tensorflow.Input indices, tensorflow.SparseApplyProximalGradientDescent.Attrs attrs)

Method Summary

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

SparseApplyProximalGradientDescent

public SparseApplyProximalGradientDescent(Pointer p)

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

SparseApplyProximalGradientDescent

public SparseApplyProximalGradientDescent(@Const @ByRef
                                          tensorflow.Scope scope,
                                          @ByVal
                                          tensorflow.Input var,
                                          @ByVal
                                          tensorflow.Input alpha,
                                          @ByVal
                                          tensorflow.Input l1,
                                          @ByVal
                                          tensorflow.Input l2,
                                          @ByVal
                                          tensorflow.Input grad,
                                          @ByVal
                                          tensorflow.Input indices)

SparseApplyProximalGradientDescent

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

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.SparseApplyProximalGradientDescent operation(tensorflow.Operation operation)

out

@ByRef
public tensorflow.Output out()

out

public tensorflow.SparseApplyProximalGradientDescent out(tensorflow.Output out)