tensorflow::ops::ApplyMomentum::Attrs

#include <training_ops.h>

Optional attribute setters for ApplyMomentum.

Summary

Public attributes
use_locking_ = false	bool
use_nesterov_ = false	bool

Public functions
UseLocking(bool x)	TF_MUST_USE_RESULT Attrs 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.
UseNesterov(bool x)	TF_MUST_USE_RESULT Attrs If True, the tensor passed to compute grad will be var - lr * momentum * accum, so in the end, the var you get is actually var - lr * momentum * accum.

Public attributes

use_locking_

bool tensorflow::ops::ApplyMomentum::Attrs::use_locking_ = false

use_nesterov_

bool tensorflow::ops::ApplyMomentum::Attrs::use_nesterov_ = false

Public functions

UseLocking

TF_MUST_USE_RESULT Attrs tensorflow::ops::ApplyMomentum::Attrs::UseLocking(
  bool x
)

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.

Defaults to false

UseNesterov

TF_MUST_USE_RESULT Attrs tensorflow::ops::ApplyMomentum::Attrs::UseNesterov(
  bool x
)

If True, the tensor passed to compute grad will be var - lr * momentum * accum, so in the end, the var you get is actually var - lr * momentum * accum.

Defaults to false