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ResourceSparseApplyAdadelta

public final class ResourceSparseApplyAdadelta

var: Should be from a Variable().

Nested Classes

class ResourceSparseApplyAdadelta.Options Optional attributes for ResourceSparseApplyAdadelta

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

static <T extends TType > ResourceSparseApplyAdadelta
create ( Scope scope, Operand <?> var, Operand <?> accum, Operand <?> accumUpdate, Operand <T> lr, Operand <T> rho, Operand <T> epsilon, Operand <T> grad, Operand <? extends TNumber > indices, Options... options)
Factory method to create a class wrapping a new ResourceSparseApplyAdadelta operation.
static ResourceSparseApplyAdadelta.Options
useLocking (Boolean useLocking)

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "ResourceSparseApplyAdadelta"

Public Methods

public static ResourceSparseApplyAdadelta create ( Scope scope, Operand <?> var, Operand <?> accum, Operand <?> accumUpdate, Operand <T> lr, Operand <T> rho, Operand <T> epsilon, Operand <T> grad, Operand <? extends TNumber > indices, Options... options)

Factory method to create a class wrapping a new ResourceSparseApplyAdadelta operation.

Parameters
scope current scope
accum Should be from a Variable().
accumUpdate : Should be from a Variable().
lr Learning rate. Must be a scalar.
rho Decay factor. Must be a scalar.
epsilon Constant factor. Must be a scalar.
grad The gradient.
indices A vector of indices into the first dimension of var and accum.
options carries optional attributes values
Returns
  • a new instance of ResourceSparseApplyAdadelta

public static ResourceSparseApplyAdadelta.Options useLocking (Boolean useLocking)

Parameters
useLocking 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.