org.bytedeco.javacpp

Class tensorflow.ResourceSparseApplyAdagrad

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.ResourceSparseApplyAdagrad

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Update relevant entries in '*var' and '*accum' according to the adagrad scheme. That is for rows we have grad for, we update var and accum as follows: accum += grad * grad var -= lr * grad * (1 / sqrt(accum)) Arguments: * scope: A Scope object * var: Should be from a Variable(). * accum: Should be from a Variable(). * lr: Learning rate. 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, 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.ResourceSparseApplyAdagrad.Attrs Optional attribute setters for ResourceSparseApplyAdagrad

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
ResourceSparseApplyAdagrad(Pointer p) Pointer cast constructor.
ResourceSparseApplyAdagrad(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input grad, tensorflow.Input indices)
ResourceSparseApplyAdagrad(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input grad, tensorflow.Input indices, tensorflow.ResourceSparseApplyAdagrad.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Operation	asOperation()
tensorflow.Operation	operation()
tensorflow.ResourceSparseApplyAdagrad	operation(tensorflow.Operation operation)
static tensorflow.ResourceSparseApplyAdagrad.Attrs	UpdateSlots(boolean x)
static tensorflow.ResourceSparseApplyAdagrad.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

ResourceSparseApplyAdagrad

public ResourceSparseApplyAdagrad(Pointer p)

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

ResourceSparseApplyAdagrad

public ResourceSparseApplyAdagrad(@Const @ByRef
                                  tensorflow.Scope scope,
                                  @ByVal
                                  tensorflow.Input var,
                                  @ByVal
                                  tensorflow.Input accum,
                                  @ByVal
                                  tensorflow.Input lr,
                                  @ByVal
                                  tensorflow.Input grad,
                                  @ByVal
                                  tensorflow.Input indices)

ResourceSparseApplyAdagrad

public ResourceSparseApplyAdagrad(@Const @ByRef
                                  tensorflow.Scope scope,
                                  @ByVal
                                  tensorflow.Input var,
                                  @ByVal
                                  tensorflow.Input accum,
                                  @ByVal
                                  tensorflow.Input lr,
                                  @ByVal
                                  tensorflow.Input grad,
                                  @ByVal
                                  tensorflow.Input indices,
                                  @Const @ByRef
                                  tensorflow.ResourceSparseApplyAdagrad.Attrs attrs)

Method Detail

asOperation

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

UseLocking

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

UpdateSlots

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

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.ResourceSparseApplyAdagrad operation(tensorflow.Operation operation)