tensorflow::ops::SparseApplyRMSProp::Attrs

#include <training_ops.h>

Optional attribute setters for SparseApplyRMSProp.

Summary

Public attributes
`use_locking_ = false`	`bool`

Public functions
`UseLocking(bool x)`	`TF_MUST_USE_RESULT Attrs` If `True`, updating of the var, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.

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

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

If True, updating of the var, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.

Defaults to false

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.

Last updated 2022-11-04 UTC.