org.bytedeco.javacpp

Class tensorflow.ResourceApplyProximalAdagrad

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.ResourceApplyProximalAdagrad

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Update '*var' and '*accum' according to FOBOS with Adagrad learning rate. accum += grad * grad prox_v = var - lr * grad * (1 / sqrt(accum)) var = sign(prox_v)/(1+lr*l2) * max{|prox_v|-lr*l1,0} Arguments: * scope: A Scope object * var: Should be from a Variable(). * accum: Should be from a Variable(). * lr: Scaling factor. Must be a scalar. * l1: L1 regularization. Must be a scalar. * l2: L2 regularization. Must be a scalar. * grad: The gradient. Optional attributes (see Attrs): * use_locking: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention. Returns: * the created Operation

Nested Class Summary

Nested Classes

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

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
ResourceApplyProximalAdagrad(Pointer p) Pointer cast constructor.
ResourceApplyProximalAdagrad(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input grad)
ResourceApplyProximalAdagrad(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input grad, tensorflow.ResourceApplyProximalAdagrad.Attrs attrs)

Method Summary

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

ResourceApplyProximalAdagrad

public ResourceApplyProximalAdagrad(Pointer p)

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

ResourceApplyProximalAdagrad

public ResourceApplyProximalAdagrad(@Const @ByRef
                                    tensorflow.Scope scope,
                                    @ByVal
                                    tensorflow.Input var,
                                    @ByVal
                                    tensorflow.Input accum,
                                    @ByVal
                                    tensorflow.Input lr,
                                    @ByVal
                                    tensorflow.Input l1,
                                    @ByVal
                                    tensorflow.Input l2,
                                    @ByVal
                                    tensorflow.Input grad)

ResourceApplyProximalAdagrad

public ResourceApplyProximalAdagrad(@Const @ByRef
                                    tensorflow.Scope scope,
                                    @ByVal
                                    tensorflow.Input var,
                                    @ByVal
                                    tensorflow.Input accum,
                                    @ByVal
                                    tensorflow.Input lr,
                                    @ByVal
                                    tensorflow.Input l1,
                                    @ByVal
                                    tensorflow.Input l2,
                                    @ByVal
                                    tensorflow.Input grad,
                                    @Const @ByRef
                                    tensorflow.ResourceApplyProximalAdagrad.Attrs attrs)

Method Detail

asOperation

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

UseLocking

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

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.ResourceApplyProximalAdagrad operation(tensorflow.Operation operation)