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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.

Public attributes

multiply_linear_by_lr_

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

use_locking_

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

Public functions

MultiplyLinearByLr

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

Defaults to false.

UseLocking

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