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

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Last updated 2023-03-27 UTC.