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Anthony Barbier6ff3b192017-09-04 18:44:23 +01001/*
Michele Di Giorgiod9eaf612020-07-08 11:12:57 +01002 * Copyright (c) 2017-2020 Arm Limited.
Anthony Barbier6ff3b192017-09-04 18:44:23 +01003 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24#include "arm_compute/runtime/OMP/OMPScheduler.h"
25
26#include "arm_compute/core/CPP/ICPPKernel.h"
27#include "arm_compute/core/Error.h"
28#include "arm_compute/core/Helpers.h"
29#include "arm_compute/core/Utils.h"
Pablo Tello7fad9b12018-03-14 17:55:27 +000030#include "arm_compute/runtime/CPUUtils.h"
Anthony Barbier6ff3b192017-09-04 18:44:23 +010031
32#include <omp.h>
33
Georgios Pinitas12833d02019-07-25 13:31:10 +010034namespace arm_compute
Anthony Barbier6ff3b192017-09-04 18:44:23 +010035{
Moritz Pflanzerf4af76e2017-09-06 07:42:43 +010036OMPScheduler::OMPScheduler() // NOLINT
Anthony Barbier6ff3b192017-09-04 18:44:23 +010037 : _num_threads(omp_get_max_threads())
38{
39}
40
41unsigned int OMPScheduler::num_threads() const
42{
43 return _num_threads;
44}
45
46void OMPScheduler::set_num_threads(unsigned int num_threads)
47{
48 const unsigned int num_cores = omp_get_max_threads();
Georgios Pinitas4bd9fda2017-10-04 12:35:58 +010049 _num_threads = (num_threads == 0) ? num_cores : num_threads;
Anthony Barbier6ff3b192017-09-04 18:44:23 +010050}
51
Anthony Barbier376c85f2018-05-25 14:17:21 +010052void OMPScheduler::schedule(ICPPKernel *kernel, const Hints &hints)
Anthony Barbier6ff3b192017-09-04 18:44:23 +010053{
54 ARM_COMPUTE_ERROR_ON_MSG(!kernel, "The child class didn't set the kernel");
Georgios Pinitas584252d2018-06-29 18:25:22 +010055 ARM_COMPUTE_ERROR_ON_MSG(hints.strategy() == StrategyHint::DYNAMIC,
56 "Dynamic scheduling is not supported in OMPScheduler");
Georgios Pinitas4bd9fda2017-10-04 12:35:58 +010057
Anthony Barbier6ff3b192017-09-04 18:44:23 +010058 const Window &max_window = kernel->window();
Anthony Barbier376c85f2018-05-25 14:17:21 +010059 const unsigned int num_iterations = max_window.num_iterations(hints.split_dimension());
Georgios Pinitas584252d2018-06-29 18:25:22 +010060 const unsigned int num_threads = std::min(num_iterations, _num_threads);
Anthony Barbier6ff3b192017-09-04 18:44:23 +010061
Georgios Pinitas584252d2018-06-29 18:25:22 +010062 if(!kernel->is_parallelisable() || num_threads == 1)
Anthony Barbier6ff3b192017-09-04 18:44:23 +010063 {
Georgios Pinitas584252d2018-06-29 18:25:22 +010064 ThreadInfo info;
65 info.cpu_info = &_cpu_info;
Georgios Pinitas4bd9fda2017-10-04 12:35:58 +010066 kernel->run(max_window, info);
Anthony Barbier6ff3b192017-09-04 18:44:23 +010067 }
68 else
69 {
Georgios Pinitas584252d2018-06-29 18:25:22 +010070 const unsigned int num_windows = num_threads;
71 std::vector<IScheduler::Workload> workloads(num_windows);
72 for(unsigned int t = 0; t < num_windows; t++)
Anthony Barbier6ff3b192017-09-04 18:44:23 +010073 {
Georgios Pinitas584252d2018-06-29 18:25:22 +010074 //Capture 't' by copy, all the other variables by reference:
75 workloads[t] = [t, &hints, &max_window, &num_windows, &kernel](const ThreadInfo & info)
76 {
77 Window win = max_window.split_window(hints.split_dimension(), t, num_windows);
78 win.validate();
79 kernel->run(win, info);
80 };
Anthony Barbier6ff3b192017-09-04 18:44:23 +010081 }
Georgios Pinitas584252d2018-06-29 18:25:22 +010082 run_workloads(workloads);
83 }
84}
85
Georgios Pinitas0499dff2020-07-31 22:21:38 +010086void OMPScheduler::schedule_op(ICPPKernel *kernel, const Hints &hints, ITensorPack &tensors)
Michalis Spyroubcd23522020-05-21 15:02:36 +010087{
88 ARM_COMPUTE_ERROR_ON_MSG(!kernel, "The child class didn't set the kernel");
89 ARM_COMPUTE_ERROR_ON_MSG(hints.strategy() == StrategyHint::DYNAMIC,
90 "Dynamic scheduling is not supported in OMPScheduler");
91
92 const Window &max_window = kernel->window();
93 const unsigned int num_iterations = max_window.num_iterations(hints.split_dimension());
94 const unsigned int num_threads = std::min(num_iterations, _num_threads);
95
96 if(!kernel->is_parallelisable() || num_threads == 1)
97 {
98 ThreadInfo info;
99 info.cpu_info = &_cpu_info;
Georgios Pinitas0499dff2020-07-31 22:21:38 +0100100 kernel->run_op(tensors, max_window, info);
Michalis Spyroubcd23522020-05-21 15:02:36 +0100101 }
102 else
103 {
104 const unsigned int num_windows = num_threads;
105 std::vector<IScheduler::Workload> workloads(num_windows);
106 for(unsigned int t = 0; t < num_windows; t++)
107 {
108 //Capture 't' by copy, all the other variables by reference:
Georgios Pinitas0499dff2020-07-31 22:21:38 +0100109 workloads[t] = [t, &hints, &max_window, &num_windows, &kernel, &tensors](const ThreadInfo & info)
Michalis Spyroubcd23522020-05-21 15:02:36 +0100110 {
111 Window win = max_window.split_window(hints.split_dimension(), t, num_windows);
112 win.validate();
Georgios Pinitas0499dff2020-07-31 22:21:38 +0100113 kernel->run_op(tensors, win, info);
Michalis Spyroubcd23522020-05-21 15:02:36 +0100114 };
115 }
116 run_workloads(workloads);
117 }
118}
Vidhya Sudhan Loganathand646ae12018-11-19 15:18:20 +0000119#ifndef DOXYGEN_SKIP_THIS
Georgios Pinitas584252d2018-06-29 18:25:22 +0100120void OMPScheduler::run_workloads(std::vector<arm_compute::IScheduler::Workload> &workloads)
121{
122 const unsigned int num_threads = std::min(_num_threads, static_cast<unsigned int>(workloads.size()));
123 if(num_threads < 1)
124 {
125 return;
126 }
127
128 ThreadInfo info;
129 info.cpu_info = &_cpu_info;
130 info.num_threads = num_threads;
131 #pragma omp parallel firstprivate(info) num_threads(num_threads)
132 {
133 const int tid = omp_get_thread_num();
134 info.thread_id = tid;
135 workloads[tid](info);
Anthony Barbier6ff3b192017-09-04 18:44:23 +0100136 }
137}
Vidhya Sudhan Loganathand646ae12018-11-19 15:18:20 +0000138#endif /* DOXYGEN_SKIP_THIS */
Georgios Pinitas12833d02019-07-25 13:31:10 +0100139} // namespace arm_compute