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tensorflow::ops::SparseApplyFtrl::Attrs

#include <training_ops.h>

Optional attribute setters for SparseApplyFtrl.

Summary

Public attributes
use_locking_ = 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.

Public attributes

use_locking_

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

Public functions

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

© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/struct/tensorflow/ops/sparse-apply-ftrl/attrs.html