tensorflow::ops::SparseApplyAdagrad::Attrs

#include <training_ops.h>

Optional attribute setters for SparseApplyAdagrad.

Summary

Public attributes
`update_slots_ = true`	`bool`
`use_locking_ = false`	`bool`

Public functions
`UpdateSlots(bool x)`	`TF_MUST_USE_RESULT Attrs` Defaults to true.
`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::SparseApplyAdagrad::Attrs::update_slots_ = true

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

TF_MUST_USE_RESULT Attrs tensorflow::ops::SparseApplyAdagrad::Attrs::UpdateSlots(
  bool x
)

Defaults to true.

TF_MUST_USE_RESULT Attrs tensorflow::ops::SparseApplyAdagrad::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

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/cc/struct/tensorflow/ops/sparse-apply-adagrad/attrs