tensorflow::ops::SparseApplyAdadelta

#include <training_ops.h>

var: Should be from a Variable().

Summary

Args:

  • scope: A Scope object
  • accum: Should be from a Variable().
  • accum_update: : 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.

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:

Constructors and Destructors
SparseApplyAdadelta(const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input accum_update, ::tensorflow::Input lr, ::tensorflow::Input rho, ::tensorflow::Input epsilon, ::tensorflow::Input grad, ::tensorflow::Input indices)
SparseApplyAdadelta(const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input accum_update, ::tensorflow::Input lr, ::tensorflow::Input rho, ::tensorflow::Input epsilon, ::tensorflow::Input grad, ::tensorflow::Input indices, const SparseApplyAdadelta::Attrs & attrs)

Public attributes
operation
out

Public functions
node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public static functions
UseLocking(bool x)

Structs
tensorflow::ops::SparseApplyAdadelta::Attrs

Optional attribute setters for SparseApplyAdadelta.

Public attributes

operation

Operation operation

out

::tensorflow::Output out

Public functions

SparseApplyAdadelta

 SparseApplyAdadelta(  const ::tensorflow::Scope & scope,  ::tensorflow::Input var,  ::tensorflow::Input accum,  ::tensorflow::Input accum_update,  ::tensorflow::Input lr,  ::tensorflow::Input rho,  ::tensorflow::Input epsilon,  ::tensorflow::Input grad,  ::tensorflow::Input indices )

SparseApplyAdadelta

 SparseApplyAdadelta(  const ::tensorflow::Scope & scope,  ::tensorflow::Input var,  ::tensorflow::Input accum,  ::tensorflow::Input accum_update,  ::tensorflow::Input lr,  ::tensorflow::Input rho,  ::tensorflow::Input epsilon,  ::tensorflow::Input grad,  ::tensorflow::Input indices,  const SparseApplyAdadelta::Attrs & attrs )

node

::tensorflow::Node * node() const

operator::tensorflow::Input

 operator::tensorflow::Input() const

operator::tensorflow::Output

 operator::tensorflow::Output() const

Public static functions

UseLocking

Attrs UseLocking( bool x )