61 lines
2.0 KiB
C
61 lines
2.0 KiB
C
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/* 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_THREADING_H_
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#define THIRD_PARTY_DUCC_GOOGLE_THREADING_H_
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#include "ducc/src/ducc0/infra/threading.h"
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#include "unsupported/Eigen/CXX11/ThreadPool"
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namespace ducc0 {
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namespace google {
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using std::size_t;
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// Pseudo thread-pool for single-threaded execution.
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class NoThreadPool : public ducc0::detail_threading::thread_pool {
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public:
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size_t nthreads() const override { return 1; }
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size_t adjust_nthreads(size_t nthreads_in) const override { return 1; };
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void submit(std::function<void()> work) override { work(); }
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};
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// Thread-pool wrapper around Eigen's ThreadPool.
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class EigenThreadPool : public ducc0::detail_threading::thread_pool {
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public:
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EigenThreadPool(Eigen::ThreadPoolInterface& pool) : pool_{&pool} {}
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size_t nthreads() const override { return pool_->NumThreads(); }
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size_t adjust_nthreads(size_t nthreads_in) const override {
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// If called by a thread in the pool, return 1
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if (pool_->CurrentThreadId() >= 0) {
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return 1;
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} else if (nthreads_in == 0) {
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return pool_->NumThreads();
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}
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return std::min<size_t>(nthreads_in, pool_->NumThreads());
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};
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void submit(std::function<void()> work) override {
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pool_->Schedule(std::move(work));
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}
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private:
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Eigen::ThreadPoolInterface* pool_;
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};
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} // namespace google
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} // namespace ducc0
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#endif // THIRD_PARTY_DUCC_GOOGLE_THREADING_H_
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