#include <training_ops.h>
Optional attribute setters for SparseApplyFtrl.
| 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. |
bool tensorflow::ops::SparseApplyFtrl::Attrs::use_locking_ = 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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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