-
Notifications
You must be signed in to change notification settings - Fork 0
/
dnnl_thread.hpp
511 lines (471 loc) · 19.4 KB
/
dnnl_thread.hpp
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
/*******************************************************************************
* Copyright 2017-2022 Intel Corporation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*******************************************************************************/
#ifndef COMMON_DNNL_THREAD_HPP
#define COMMON_DNNL_THREAD_HPP
#include <algorithm>
#include <functional>
#include <mutex>
#include <stdio.h>
#define DNNL_RUNTIME_IGNORE 0
#define DNNL_RUNTIME_SEQ 1
#define DNNL_RUNTIME_OMP 2
#if DNNL_CPU_THREADING_RUNTIME != DNNL_RUNTIME_IGNORE
#if DNNL_CPU_THREADING_RUNTIME == DNNL_RUNTIME_SEQ
#pragma GCC diagnostic warning "----DNNL_RUNTIME_SEQ-----"
#define DNNL_THR_SYNC 1
inline int dnnl_get_max_threads() {
return 1;
}
inline int dnnl_in_parallel() {
return 0;
}
inline void dnnl_thr_barrier() {}
#elif DNNL_CPU_THREADING_RUNTIME == DNNL_RUNTIME_OMP
#pragma GCC diagnostic warning "----OPENMP-----"
#include "omp.h"
#define DNNL_THR_SYNC 1
inline int dnnl_get_max_threads() {
return omp_get_max_threads();
}
inline int dnnl_in_parallel() {
return omp_in_parallel();
}
inline void dnnl_thr_barrier() {
#pragma omp barrier
}
#endif
/* The purpose of this function is to provide the number of threads the library
* is aware of when this function is invoked. Since oneDNN does not allow nested
* parallelism, inside a parallel region the number of available threads is 1.
* Otherwise, the number of current threads varies between threading runtimes:
* - for OpenMP and TBB, return the max number of threads since the number of
* threads is held in a global object throughout the entire execution.
* - for Threadpool, since the global object in oneDNN changes throughout
* execution, two situations can occur:
* a) if the library *is* aware of a threadpool when this function is invoked,
* return the number of available threads in the threadpool;
* b) if the library *is not* aware of a threadpool when this function is
* invoked, return 1 since the main thread will do the work.
*/
inline int dnnl_get_current_num_threads() {
if (dnnl_in_parallel()) return 1;
#if DNNL_CPU_THREADING_RUNTIME == DNNL_RUNTIME_OMP
return omp_get_max_threads();
#else
return 1;
#endif
}
#if DNNL_CPU_THREADING_RUNTIME == DNNL_RUNTIME_OMP
#define PRAGMA_OMP(...) PRAGMA_MACRO(CHAIN2(omp, __VA_ARGS__))
#define OMP_GET_THREAD_NUM() omp_get_thread_num()
#define OMP_GET_NUM_THREADS() omp_get_num_threads()
#else
#define PRAGMA_OMP(...)
#define OMP_GET_THREAD_NUM() 0
#define OMP_GET_NUM_THREADS() 1
#endif
namespace dnnl {
namespace impl {
inline bool dnnl_thr_syncable() {
return DNNL_THR_SYNC == 1;
}
template <typename T, typename U>
inline void balance211(T n, U team, U tid, T &n_start, T &n_end) {
T n_min = 1;
T &n_my = n_end;
if (team <= 1 || n == 0) {
n_start = 0;
n_my = n;
} else if (n_min == 1) {
// team = T1 + T2
// n = T1*n1 + T2*n2 (n1 - n2 = 1)
T n1 = utils::div_up(n, (T)team);
T n2 = n1 - 1;
T T1 = n - n2 * (T)team;
n_my = (T)tid < T1 ? n1 : n2;
n_start = (T)tid <= T1 ? tid * n1 : T1 * n1 + ((T)tid - T1) * n2;
}
n_end += n_start;
}
template <typename T, typename U>
void balance2D(U nthr, U ithr, T ny, T &ny_start, T &ny_end, T nx, T &nx_start,
T &nx_end, T nx_divider) {
const T grp_count = std::min(nx_divider, static_cast<T>(nthr));
const int grp_size_big = nthr / static_cast<int>(grp_count) + 1;
const int grp_size_small = nthr / static_cast<int>(grp_count);
const int n_grp_big = nthr % static_cast<int>(grp_count);
const int threads_in_big_groups = n_grp_big * grp_size_big;
const int ithr_bound_distance = ithr - threads_in_big_groups;
T grp, grp_ithr, grp_nthr;
if (ithr_bound_distance < 0) { // ithr in first groups
grp = ithr / grp_size_big;
grp_ithr = ithr % grp_size_big;
grp_nthr = grp_size_big;
} else { // ithr in last groups
grp = n_grp_big + ithr_bound_distance / grp_size_small;
grp_ithr = ithr_bound_distance % grp_size_small;
grp_nthr = grp_size_small;
}
balance211(nx, grp_count, grp, nx_start, nx_end);
balance211(ny, grp_nthr, grp_ithr, ny_start, ny_end);
}
/* Functions:
* - parallel(nthr, f) - executes f in parallel using at
* most nthr threads. If nthr equals
* 0 dnnl_get_current_num_threads() threads
* is used
* - for_nd(ithr, nthr, dims..., f) - multidimensional for loop for
* already created threads
* - for_nd_ext(ithr, nthr, dims..., f) - multidimensional for loop for
* already created threads that passes
* ithr and nthr
* - parallel_nd(dims..., f) - creates a parallel section and then
* calls for_nd
* - parallel_nd_ext(dims..., f) - creates a parallel section and then
* calls for_nd_ext
* - parallel_nd_in_omp(dims..., f) - queries current nthr and ithr and
* then calls for_nd (mostly for
* convenience)
*/
/* general parallelization */
inline int adjust_num_threads(int nthr, dim_t work_amount) {
if (nthr == 0) nthr = dnnl_get_current_num_threads();
#if DNNL_CPU_THREADING_RUNTIME == DNNL_RUNTIME_OMP
return (work_amount == 1 || omp_in_parallel()) ? 1 : nthr;
#else
return (int)std::min((dim_t)nthr, work_amount);
#endif
}
static inline void parallel(int nthr, const std::function<void(int, int)> &f) {
nthr = adjust_num_threads(nthr, INT64_MAX);
#if DNNL_CPU_THREADING_RUNTIME == DNNL_RUNTIME_SEQ
for (int i = 0; i < nthr; ++i) {
f(i, nthr);
}
#else
#if defined(DNNL_ENABLE_ITT_TASKS)
auto task_primitive_kind = itt::primitive_task_get_current_kind();
bool itt_enable = itt::get_itt(itt::__itt_task_level_high);
#endif
if (nthr == 1) {
f(0, 1);
return;
}
#if DNNL_CPU_THREADING_RUNTIME == DNNL_RUNTIME_OMP
#pragma omp parallel num_threads(nthr)
{
int nthr_ = omp_get_num_threads();
int ithr_ = omp_get_thread_num();
assert(nthr_ == nthr);
#if defined(DNNL_ENABLE_ITT_TASKS)
if (ithr_ && itt_enable) itt::primitive_task_start(task_primitive_kind);
#endif
f(ithr_, nthr_);
#if defined(DNNL_ENABLE_ITT_TASKS)
if (ithr_ && itt_enable) itt::primitive_task_end();
#endif
}
#endif
#endif
}
// XXX: IMPORTANT!!!
// Keep the functions below static.
//
// The threading file is included in gtests and benchdnn. When
// the functions are not static it can cause a crash in gtests and
// benchdnn on macOS with Intel 2021 compiler.
/* for_nd section */
static inline void for_nd(const int ithr, const int nthr, dim_t D0,
const std::function<void(dim_t)> &f) {
dim_t start {0}, end {0};
balance211(D0, nthr, ithr, start, end);
for (dim_t d0 = start; d0 < end; ++d0)
f(d0);
}
static inline void for_nd(const int ithr, const int nthr, dim_t D0, dim_t D1,
const std::function<void(dim_t, dim_t)> &f) {
const dim_t work_amount = D0 * D1;
if (work_amount == 0) return;
dim_t start {0}, end {0};
balance211(work_amount, nthr, ithr, start, end);
dim_t d0 {0}, d1 {0};
utils::nd_iterator_init(start, d0, D0, d1, D1);
for (dim_t iwork = start; iwork < end; ++iwork) {
f(d0, d1);
utils::nd_iterator_step(d0, D0, d1, D1);
}
}
static inline void for_nd(const int ithr, const int nthr, dim_t D0, dim_t D1,
dim_t D2, const std::function<void(dim_t, dim_t, dim_t)> &f) {
const dim_t work_amount = D0 * D1 * D2;
if (work_amount == 0) return;
dim_t start {0}, end {0};
balance211(work_amount, nthr, ithr, start, end);
dim_t d0 {0}, d1 {0}, d2 {0};
utils::nd_iterator_init(start, d0, D0, d1, D1, d2, D2);
for (dim_t iwork = start; iwork < end; ++iwork) {
f(d0, d1, d2);
utils::nd_iterator_step(d0, D0, d1, D1, d2, D2);
}
}
static inline void for_nd(const int ithr, const int nthr, dim_t D0, dim_t D1,
dim_t D2, dim_t D3,
const std::function<void(dim_t, dim_t, dim_t, dim_t)> &f) {
const dim_t work_amount = D0 * D1 * D2 * D3;
if (work_amount == 0) return;
dim_t start {0}, end {0};
balance211(work_amount, nthr, ithr, start, end);
dim_t d0 {0}, d1 {0}, d2 {0}, d3 {0};
utils::nd_iterator_init(start, d0, D0, d1, D1, d2, D2, d3, D3);
for (dim_t iwork = start; iwork < end; ++iwork) {
f(d0, d1, d2, d3);
utils::nd_iterator_step(d0, D0, d1, D1, d2, D2, d3, D3);
}
}
static inline void for_nd(const int ithr, const int nthr, dim_t D0, dim_t D1,
dim_t D2, dim_t D3, dim_t D4,
const std::function<void(dim_t, dim_t, dim_t, dim_t, dim_t)> &f) {
const dim_t work_amount = D0 * D1 * D2 * D3 * D4;
if (work_amount == 0) return;
dim_t start {0}, end {0};
balance211(work_amount, nthr, ithr, start, end);
dim_t d0 {0}, d1 {0}, d2 {0}, d3 {0}, d4 {0};
utils::nd_iterator_init(start, d0, D0, d1, D1, d2, D2, d3, D3, d4, D4);
for (dim_t iwork = start; iwork < end; ++iwork) {
f(d0, d1, d2, d3, d4);
utils::nd_iterator_step(d0, D0, d1, D1, d2, D2, d3, D3, d4, D4);
}
}
static inline void for_nd(const int ithr, const int nthr, dim_t D0, dim_t D1,
dim_t D2, dim_t D3, dim_t D4, dim_t D5,
const std::function<void(dim_t, dim_t, dim_t, dim_t, dim_t, dim_t)>
&f) {
const dim_t work_amount = D0 * D1 * D2 * D3 * D4 * D5;
if (work_amount == 0) return;
dim_t start {0}, end {0};
balance211(work_amount, nthr, ithr, start, end);
dim_t d0 {0}, d1 {0}, d2 {0}, d3 {0}, d4 {0}, d5 {0};
utils::nd_iterator_init(
start, d0, D0, d1, D1, d2, D2, d3, D3, d4, D4, d5, D5);
for (dim_t iwork = start; iwork < end; ++iwork) {
f(d0, d1, d2, d3, d4, d5);
utils::nd_iterator_step(d0, D0, d1, D1, d2, D2, d3, D3, d4, D4, d5, D5);
}
}
/* for_nd_ext section */
static inline void for_nd_ext(const int ithr, const int nthr, dim_t D0,
const std::function<void(int, int, dim_t)> &f) {
dim_t start {0}, end {0};
balance211(D0, nthr, ithr, start, end);
for (dim_t d0 = start; d0 < end; ++d0)
f(ithr, nthr, d0);
}
static inline void for_nd_ext(const int ithr, const int nthr, dim_t D0,
dim_t D1, const std::function<void(int, int, dim_t, dim_t)> &f) {
const dim_t work_amount = D0 * D1;
if (work_amount == 0) return;
dim_t start {0}, end {0};
balance211(work_amount, nthr, ithr, start, end);
dim_t d0 {0}, d1 {0};
utils::nd_iterator_init(start, d0, D0, d1, D1);
for (dim_t iwork = start; iwork < end; ++iwork) {
f(ithr, nthr, d0, d1);
utils::nd_iterator_step(d0, D0, d1, D1);
}
}
static inline void for_nd_ext(const int ithr, const int nthr, dim_t D0,
dim_t D1, dim_t D2,
const std::function<void(int, int, dim_t, dim_t, dim_t)> &f) {
const dim_t work_amount = D0 * D1 * D2;
if (work_amount == 0) return;
dim_t start {0}, end {0};
balance211(work_amount, nthr, ithr, start, end);
dim_t d0 {0}, d1 {0}, d2 {0};
utils::nd_iterator_init(start, d0, D0, d1, D1, d2, D2);
for (dim_t iwork = start; iwork < end; ++iwork) {
f(ithr, nthr, d0, d1, d2);
utils::nd_iterator_step(d0, D0, d1, D1, d2, D2);
}
}
static inline void for_nd_ext(const int ithr, const int nthr, dim_t D0,
dim_t D1, dim_t D2, dim_t D3,
const std::function<void(int, int, dim_t, dim_t, dim_t, dim_t)> &f) {
const dim_t work_amount = D0 * D1 * D2 * D3;
if (work_amount == 0) return;
dim_t start {0}, end {0};
balance211(work_amount, nthr, ithr, start, end);
dim_t d0 {0}, d1 {0}, d2 {0}, d3 {0};
utils::nd_iterator_init(start, d0, D0, d1, D1, d2, D2, d3, D3);
for (dim_t iwork = start; iwork < end; ++iwork) {
f(ithr, nthr, d0, d1, d2, d3);
utils::nd_iterator_step(d0, D0, d1, D1, d2, D2, d3, D3);
}
}
static inline void for_nd_ext(const int ithr, const int nthr, dim_t D0,
dim_t D1, dim_t D2, dim_t D3, dim_t D4,
const std::function<void(int, int, dim_t, dim_t, dim_t, dim_t, dim_t)>
&f) {
const dim_t work_amount = D0 * D1 * D2 * D3 * D4;
if (work_amount == 0) return;
dim_t start {0}, end {0};
balance211(work_amount, nthr, ithr, start, end);
dim_t d0 {0}, d1 {0}, d2 {0}, d3 {0}, d4 {0};
utils::nd_iterator_init(start, d0, D0, d1, D1, d2, D2, d3, D3, d4, D4);
for (dim_t iwork = start; iwork < end; ++iwork) {
f(ithr, nthr, d0, d1, d2, d3, d4);
utils::nd_iterator_step(d0, D0, d1, D1, d2, D2, d3, D3, d4, D4);
}
}
static inline void for_nd_ext(const int ithr, const int nthr, dim_t D0,
dim_t D1, dim_t D2, dim_t D3, dim_t D4, dim_t D5,
const std::function<void(
int, int, dim_t, dim_t, dim_t, dim_t, dim_t, dim_t)> &f) {
const dim_t work_amount = D0 * D1 * D2 * D3 * D4 * D5;
if (work_amount == 0) return;
dim_t start {0}, end {0};
balance211(work_amount, nthr, ithr, start, end);
dim_t d0 {0}, d1 {0}, d2 {0}, d3 {0}, d4 {0}, d5 {0};
utils::nd_iterator_init(
start, d0, D0, d1, D1, d2, D2, d3, D3, d4, D4, d5, D5);
for (dim_t iwork = start; iwork < end; ++iwork) {
f(ithr, nthr, d0, d1, d2, d3, d4, d5);
utils::nd_iterator_step(d0, D0, d1, D1, d2, D2, d3, D3, d4, D4, d5, D5);
}
}
/* parallel_nd_ext section */
static inline void parallel_nd_ext(
int nthr, dim_t D0, const std::function<void(int, int, dim_t)> &f) {
const dim_t work_amount = D0;
nthr = adjust_num_threads(nthr, work_amount);
if (nthr)
parallel(nthr,
[&](int ithr, int nthr) { for_nd_ext(ithr, nthr, D0, f); });
}
static inline void parallel_nd_ext(int nthr, dim_t D0, dim_t D1,
const std::function<void(int, int, dim_t, dim_t)> &f) {
const dim_t work_amount = D0 * D1;
nthr = adjust_num_threads(nthr, work_amount);
if (nthr)
parallel(nthr,
[&](int ithr, int nthr) { for_nd_ext(ithr, nthr, D0, D1, f); });
}
static inline void parallel_nd_ext(int nthr, dim_t D0, dim_t D1, dim_t D2,
const std::function<void(int, int, dim_t, dim_t, dim_t)> &f) {
const dim_t work_amount = D0 * D1 * D2;
nthr = adjust_num_threads(nthr, work_amount);
if (nthr)
parallel(nthr, [&](int ithr, int nthr) {
for_nd_ext(ithr, nthr, D0, D1, D2, f);
});
}
static inline void parallel_nd_ext(int nthr, dim_t D0, dim_t D1, dim_t D2,
dim_t D3,
const std::function<void(int, int, dim_t, dim_t, dim_t, dim_t)> &f) {
const dim_t work_amount = D0 * D1 * D2 * D3;
nthr = adjust_num_threads(nthr, work_amount);
if (nthr)
parallel(nthr, [&](int ithr, int nthr) {
for_nd_ext(ithr, nthr, D0, D1, D2, D3, f);
});
}
static inline void parallel_nd_ext(int nthr, dim_t D0, dim_t D1, dim_t D2,
dim_t D3, dim_t D4,
const std::function<void(int, int, dim_t, dim_t, dim_t, dim_t, dim_t)>
&f) {
const dim_t work_amount = D0 * D1 * D2 * D3 * D4;
nthr = adjust_num_threads(nthr, work_amount);
if (nthr)
parallel(nthr, [&](int ithr, int nthr) {
for_nd_ext(ithr, nthr, D0, D1, D2, D3, D4, f);
});
}
static inline void parallel_nd_ext(int nthr, dim_t D0, dim_t D1, dim_t D2,
dim_t D3, dim_t D4, dim_t D5,
const std::function<void(
int, int, dim_t, dim_t, dim_t, dim_t, dim_t, dim_t)> &f) {
const dim_t work_amount = D0 * D1 * D2 * D3 * D4 * D5;
nthr = adjust_num_threads(nthr, work_amount);
if (nthr)
parallel(nthr, [&](int ithr, int nthr) {
for_nd_ext(ithr, nthr, D0, D1, D2, D3, D4, D5, f);
});
}
/* parallel_nd section */
static inline void parallel_nd(dim_t D0, const std::function<void(dim_t)> &f) {
int nthr = adjust_num_threads(dnnl_get_current_num_threads(), D0);
if (nthr)
parallel(nthr, [&](int ithr, int nthr) { for_nd(ithr, nthr, D0, f); });
}
static inline void parallel_nd(
dim_t D0, dim_t D1, const std::function<void(dim_t, dim_t)> &f) {
const dim_t work_amount = D0 * D1;
int nthr = adjust_num_threads(dnnl_get_current_num_threads(), work_amount);
// printf("--- %d %d %d nthr %d\n",(int)D0,(int)D1, (int)work_amount, nthr);
if (nthr)
parallel(nthr,
[&](int ithr, int nthr) { for_nd(ithr, nthr, D0, D1, f); });
}
static inline void parallel_nd(dim_t D0, dim_t D1, dim_t D2,
const std::function<void(dim_t, dim_t, dim_t)> &f) {
const dim_t work_amount = D0 * D1 * D2;
int nthr = adjust_num_threads(dnnl_get_current_num_threads(), work_amount);
if (nthr)
parallel(nthr,
[&](int ithr, int nthr) { for_nd(ithr, nthr, D0, D1, D2, f); });
}
static inline void parallel_nd(dim_t D0, dim_t D1, dim_t D2, dim_t D3,
const std::function<void(dim_t, dim_t, dim_t, dim_t)> &f) {
const dim_t work_amount = D0 * D1 * D2 * D3;
int nthr = adjust_num_threads(dnnl_get_current_num_threads(), work_amount);
if (nthr)
parallel(nthr, [&](int ithr, int nthr) {
for_nd(ithr, nthr, D0, D1, D2, D3, f);
});
}
static inline void parallel_nd(dim_t D0, dim_t D1, dim_t D2, dim_t D3, dim_t D4,
const std::function<void(dim_t, dim_t, dim_t, dim_t, dim_t)> &f) {
const dim_t work_amount = D0 * D1 * D2 * D3 * D4;
int nthr = adjust_num_threads(dnnl_get_current_num_threads(), work_amount);
if (nthr)
parallel(nthr, [&](int ithr, int nthr) {
for_nd(ithr, nthr, D0, D1, D2, D3, D4, f);
});
}
static inline void parallel_nd(dim_t D0, dim_t D1, dim_t D2, dim_t D3, dim_t D4,
dim_t D5,
const std::function<void(dim_t, dim_t, dim_t, dim_t, dim_t, dim_t)>
&f) {
const dim_t work_amount = D0 * D1 * D2 * D3 * D4 * D5;
int nthr = adjust_num_threads(dnnl_get_current_num_threads(), work_amount);
if (nthr)
parallel(nthr, [&](int ithr, int nthr) {
for_nd(ithr, nthr, D0, D1, D2, D3, D4, D5, f);
});
}
/* parallel_nd_in_omp section */
template <typename... Args>
void parallel_nd_in_omp(Args &&... args) {
#if DNNL_CPU_THREADING_RUNTIME == DNNL_RUNTIME_SEQ
for_nd(0, 1, std::forward<Args>(args)...);
#elif DNNL_CPU_THREADING_RUNTIME == DNNL_RUNTIME_OMP
for_nd(omp_get_thread_num(), omp_get_num_threads(),
std::forward<Args>(args)...);
#endif
}
} // namespace impl
} // namespace dnnl
#endif
#endif