oneAPI Deep Neural Network Library (oneDNN)  1.4.0
Performance library for Deep Learning
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dnnl_threadpool_iface.hpp
1/*******************************************************************************
2* Copyright 2020 Intel Corporation
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4* Licensed under the Apache License, Version 2.0 (the "License");
5* you may not use this file except in compliance with the License.
6* You may obtain a copy of the License at
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8* http://www.apache.org/licenses/LICENSE-2.0
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10* Unless required by applicable law or agreed to in writing, software
11* distributed under the License is distributed on an "AS IS" BASIS,
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13* See the License for the specific language governing permissions and
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16
17#ifndef DNNL_THREADPOOL_IFACE_HPP
18#define DNNL_THREADPOOL_IFACE_HPP
19
20#include <functional>
21
22namespace dnnl {
23
29 virtual int get_num_threads() const = 0;
30
32 virtual bool get_in_parallel() const = 0;
33
38 virtual void parallel_for(int n, const std::function<void(int, int)> &fn)
39 = 0;
40
42 virtual uint64_t get_flags() const = 0;
43
46 static constexpr uint64_t ASYNCHRONOUS = 1;
47
48 virtual ~threadpool_iface() {}
49};
50
51} // namespace dnnl
52
53#endif
oneDNN namespace
Definition dnnl.hpp:81
Abstract threadpool interface.
Definition dnnl_threadpool_iface.hpp:27
static constexpr uint64_t ASYNCHRONOUS
If set, parallel_for() returns immediately and oneDNN needs implement waiting for the submitted closu...
Definition dnnl_threadpool_iface.hpp:46
virtual int get_num_threads() const =0
Returns the number of worker threads.
virtual bool get_in_parallel() const =0
Returns true if the calling thread belongs to this threadpool.
virtual void parallel_for(int n, const std::function< void(int, int)> &fn)=0
Submits n instances of a closure for execution in parallel:
virtual uint64_t get_flags() const =0
Returns threadpool behavior flags bit mask (see below).