tensorflow::ops::SparseApplyFtrl::Attrs

#include <training_ops.h>

Optional attribute setters for SparseApplyFtrl.

Summary

Public attributes
`multiply_linear_by_lr_ = false`	`bool`
`use_locking_ = false`	`bool`

Public functions
`MultiplyLinearByLr(bool x)`	`TF_MUST_USE_RESULT Attrs` Defaults to false.
`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.

bool tensorflow::ops::SparseApplyFtrl::Attrs::multiply_linear_by_lr_ = false

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

TF_MUST_USE_RESULT Attrs tensorflow::ops::SparseApplyFtrl::Attrs::MultiplyLinearByLr(
  bool x
)

Defaults to false.

TF_MUST_USE_RESULT Attrs tensorflow::ops::SparseApplyFtrl::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

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Last updated 2021-11-15 UTC.