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51b601fa6b
This is a necessary first step before actually using it in XLA/JAX. PiperOrigin-RevId: 576659802
36 lines
1.2 KiB
C++
36 lines
1.2 KiB
C++
/* Copyright 2023 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#ifndef THIRD_PARTY_DUCC_GOOGLE_DUCC0_CUSTOM_LOWLEVEL_THREADING_H_
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#define THIRD_PARTY_DUCC_GOOGLE_DUCC0_CUSTOM_LOWLEVEL_THREADING_H_
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#include "tsl/platform/mutex.h"
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namespace ducc0 {
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namespace detail_threading {
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using Mutex = tsl::mutex;
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using UniqueLock = tsl::mutex_lock;
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using LockGuard = tsl::mutex_lock;
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using CondVar = tsl::condition_variable;
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// Missing variable used by DUCC threading.cc.
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extern thread_local bool in_parallel_region;
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} // namespace detail_threading
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} // namespace ducc0
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#endif // THIRD_PARTY_DUCC_GOOGLE_DUCC0_CUSTOM_LOWLEVEL_THREADING_H_
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