54 lines
1.8 KiB
C++
54 lines
1.8 KiB
C++
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/*******************************************************************************
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* Copyright 2020 Intel Corporation
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*
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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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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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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 DNNL_THREADPOOL_IFACE_HPP
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#define DNNL_THREADPOOL_IFACE_HPP
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#include <functional>
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namespace dnnl {
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/// Abstract threadpool interface. The users are expected to subclass this
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/// interface and pass an object to the library during CPU stream creation or
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/// directly in case of BLAS functions.
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struct threadpool_iface {
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/// Returns the number of worker threads.
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virtual int get_num_threads() const = 0;
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/// Returns true if the calling thread belongs to this threadpool.
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virtual bool get_in_parallel() const = 0;
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/// Submits n instances of a closure for execution in parallel:
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///
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/// for (int i = 0; i < n; i++) fn(i, n);
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///
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virtual void parallel_for(int n, const std::function<void(int, int)> &fn)
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= 0;
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/// Returns threadpool behavior flags bit mask (see below).
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virtual uint64_t get_flags() const = 0;
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/// If set, parallel_for() returns immediately and oneDNN needs implement
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/// waiting for the submitted closures to finish execution on its own.
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static constexpr uint64_t ASYNCHRONOUS = 1;
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virtual ~threadpool_iface() {}
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};
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} // namespace dnnl
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#endif
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