#include <training_ops.h>
Optional attribute setters for SparseApplyProximalGradientDescent.
| Public attributes | |
|---|---|
use_locking_ = false | bool |
| Public functions | |
|---|---|
UseLocking(bool x) | TF_MUST_USE_RESULT Attrs If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention. |
bool tensorflow::ops::SparseApplyProximalGradientDescent::Attrs::use_locking_ = false
TF_MUST_USE_RESULT Attrs tensorflow::ops::SparseApplyProximalGradientDescent::Attrs::UseLocking( bool x )
If True, the subtraction 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-proximal-gradient-descent/attrs.html