1 | namespace dnnl { |
2 | namespace impl { |
3 | namespace gpu { |
4 | namespace ocl { |
5 | const char *ref_bnorm_kernel = R"==(/******************************************************************************* )==" "\n" |
6 | R"==(* Copyright 2019-2022 Intel Corporation )==" "\n" |
7 | R"==(* )==" "\n" |
8 | R"==(* Licensed under the Apache License, Version 2.0 (the "License"); )==" "\n" |
9 | R"==(* you may not use this file except in compliance with the License. )==" "\n" |
10 | R"==(* You may obtain a copy of the License at )==" "\n" |
11 | R"==(* )==" "\n" |
12 | R"==(* http: )==" "\n" |
13 | R"==(* )==" "\n" |
14 | R"==(* Unless required by applicable law or agreed to in writing, software )==" "\n" |
15 | R"==(* distributed under the License is distributed on an "AS IS" BASIS, )==" "\n" |
16 | R"==(* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. )==" "\n" |
17 | R"==(* See the License for the specific language governing permissions and )==" "\n" |
18 | R"==(* limitations under the License. )==" "\n" |
19 | R"==(*******************************************************************************/ )==" "\n" |
20 | R"==(#if MB_BLOCK == 16 )==" "\n" |
21 | R"==(#define MB16 )==" "\n" |
22 | R"==(#define VECT_DT_N 8 )==" "\n" |
23 | R"==(#elif VECTORIZE_CALC_STATS == 1 )==" "\n" |
24 | R"==(#define VECT_DT_N VECT_SIZE )==" "\n" |
25 | R"==(#else )==" "\n" |
26 | R"==(#define VECT_DT_N 1 )==" "\n" |
27 | R"==(#endif )==" "\n" |
28 | R"==(#if VECT_DT_N == 1 )==" "\n" |
29 | R"==(#define VECT_CHAR_TO_INT convert_int )==" "\n" |
30 | R"==(#else )==" "\n" |
31 | R"==(#define VECT_CHAR_TO_INT CONCAT2(convert_int, VECT_DT_N) )==" "\n" |
32 | R"==(#endif )==" "\n" |
33 | R"==(#if USE_16MB_UNROLL == 0 && (CALCULATE_STATS == 1 || IS_BWD == 1) )==" "\n" |
34 | R"==(int reduce_index(int x[5]) { )==" "\n" |
35 | R"==(int dim[5] = {MB, IC, ID, IH, IW}; )==" "\n" |
36 | R"==(dim[REDUCE_DIM_IDX] = 1; )==" "\n" |
37 | R"==(return x[0] * (dim[2] * dim[3] * dim[4]) + x[2] * (dim[3] * dim[4]) )==" "\n" |
38 | R"==(+ x[3] * dim[4] + x[4]; )==" "\n" |
39 | R"==(} )==" "\n" |
40 | R"==(#endif )==" "\n" |
41 | R"==(#include "gpu/ocl/ocl_types.h" )==" "\n" |
42 | R"==(#if IS_FWD == 1 )==" "\n" |
43 | R"==(#if USE_16MB_UNROLL == 0 && CALCULATE_STATS == 1 )==" "\n" |
44 | R"==(#if VECTORIZE_CALC_STATS == 1 )==" "\n" |
45 | R"==(NAMED_KERNEL_ATTR(CALC) )==" "\n" |
46 | R"==(__kernel void calculate_mean(__global DATA_T *src, __global float *mean) { )==" "\n" |
47 | R"==(int x[5]; )==" "\n" |
48 | R"==(x[0] = GWS_GET_STAT_MB(); )==" "\n" |
49 | R"==(x[1] = GWS_GET_STAT_IC(); )==" "\n" |
50 | R"==(x[2] = GWS_GET_STAT_ID(); )==" "\n" |
51 | R"==(x[3] = GWS_GET_STAT_IH(); )==" "\n" |
52 | R"==(x[4] = GWS_GET_STAT_IW(); )==" "\n" |
53 | R"==(VECT_FLOAT_T vect_sum = 0; )==" "\n" |
54 | R"==(for (int i = 0; i < REDUCE_DIM; i += SUB_GROUP_SIZE * VECT_DT_N) { )==" "\n" |
55 | R"==(x[REDUCE_DIM_IDX] = i; )==" "\n" |
56 | R"==(int src_off = SRC_OFF(x[0], x[1], x[2], x[3], x[4]); )==" "\n" |
57 | R"==(vect_sum += CONVERT_VECT_FLOAT_T(AS_VECT_DATA_T( )==" "\n" |
58 | R"==(VECT_BLOCK_READ((const __global BLOCK_DATA_T *)&src[src_off]))); )==" "\n" |
59 | R"==(} )==" "\n" |
60 | R"==(#if VECT_DT_N == 1 )==" "\n" |
61 | R"==(float sum = vect_sum; )==" "\n" |
62 | R"==(#else )==" "\n" |
63 | R"==(float sum = 0; )==" "\n" |
64 | R"==(for (int i = 0; i < VECT_DT_N; ++i) { )==" "\n" |
65 | R"==(sum += vect_sum[i]; )==" "\n" |
66 | R"==(} )==" "\n" |
67 | R"==(#endif )==" "\n" |
68 | R"==(x[REDUCE_DIM_IDX] = 0; )==" "\n" |
69 | R"==(int reduce_idx = reduce_index(x); )==" "\n" |
70 | R"==(float total_sum = sub_group_reduce_add(sum); )==" "\n" |
71 | R"==(int local_id = get_sub_group_local_id(); )==" "\n" |
72 | R"==(if (local_id == 0) { mean[reduce_idx * IC + x[1]] = total_sum; } )==" "\n" |
73 | R"==(} )==" "\n" |
74 | R"==(NAMED_KERNEL_ATTR(CALC) )==" "\n" |
75 | R"==(__kernel void calculate_variance( )==" "\n" |
76 | R"==(__global DATA_T *src, __global float *mean, __global float *variance) { )==" "\n" |
77 | R"==(int x[5]; )==" "\n" |
78 | R"==(x[0] = GWS_GET_STAT_MB(); )==" "\n" |
79 | R"==(x[1] = GWS_GET_STAT_IC(); )==" "\n" |
80 | R"==(x[2] = GWS_GET_STAT_ID(); )==" "\n" |
81 | R"==(x[3] = GWS_GET_STAT_IH(); )==" "\n" |
82 | R"==(x[4] = GWS_GET_STAT_IW(); )==" "\n" |
83 | R"==(VECT_FLOAT_T mean_tmp = mean[x[1]]; )==" "\n" |
84 | R"==(VECT_FLOAT_T vect_sum = 0; )==" "\n" |
85 | R"==(for (int i = 0; i < REDUCE_DIM; i += SUB_GROUP_SIZE * VECT_DT_N) { )==" "\n" |
86 | R"==(x[REDUCE_DIM_IDX] = i; )==" "\n" |
87 | R"==(int src_off = SRC_OFF(x[0], x[1], x[2], x[3], x[4]); )==" "\n" |
88 | R"==(VECT_FLOAT_T v0 = CONVERT_VECT_FLOAT_T(AS_VECT_DATA_T( )==" "\n" |
89 | R"==(VECT_BLOCK_READ((const __global BLOCK_DATA_T *)&src[src_off]))); )==" "\n" |
90 | R"==(v0 -= mean_tmp; )==" "\n" |
91 | R"==(vect_sum += v0 * v0; )==" "\n" |
92 | R"==(} )==" "\n" |
93 | R"==(#if VECT_DT_N == 1 )==" "\n" |
94 | R"==(float sum = vect_sum; )==" "\n" |
95 | R"==(#else )==" "\n" |
96 | R"==(float sum = 0; )==" "\n" |
97 | R"==(for (int i = 0; i < VECT_DT_N; ++i) { )==" "\n" |
98 | R"==(sum += vect_sum[i]; )==" "\n" |
99 | R"==(} )==" "\n" |
100 | R"==(#endif )==" "\n" |
101 | R"==(x[REDUCE_DIM_IDX] = 0; )==" "\n" |
102 | R"==(int reduce_idx = reduce_index(x); )==" "\n" |
103 | R"==(float total_sum = sub_group_reduce_add(sum); )==" "\n" |
104 | R"==(int local_id = get_sub_group_local_id(); )==" "\n" |
105 | R"==(if (local_id == 0) { )==" "\n" |
106 | R"==(variance += MB * ID * IH * IW * IC / REDUCE_DIM; )==" "\n" |
107 | R"==(variance[reduce_idx * IC + x[1]] = total_sum; )==" "\n" |
108 | R"==(} )==" "\n" |
109 | R"==(} )==" "\n" |
110 | R"==(NAMED_KERNEL_ATTR(CALC) )==" "\n" |
111 | R"==(__kernel void calculate_mean_variance( )==" "\n" |
112 | R"==(__global DATA_T *src, __global float *mean, __global float *variance) { )==" "\n" |
113 | R"==(#if SKIP_REDUCE_STATS == 1 )==" "\n" |
114 | R"==(int x[5]; )==" "\n" |
115 | R"==(x[0] = GWS_GET_STAT_MB(); )==" "\n" |
116 | R"==(x[1] = GWS_GET_STAT_IC(); )==" "\n" |
117 | R"==(x[2] = GWS_GET_STAT_ID(); )==" "\n" |
118 | R"==(x[3] = GWS_GET_STAT_IH(); )==" "\n" |
119 | R"==(x[4] = GWS_GET_STAT_IW(); )==" "\n" |
120 | R"==(VECT_FLOAT_T src_sum = 0; )==" "\n" |
121 | R"==(VECT_FLOAT_T src_pow_sum = 0; )==" "\n" |
122 | R"==(for (int i = 0; i < REDUCE_DIM; i += SUB_GROUP_SIZE * VECT_DT_N) { )==" "\n" |
123 | R"==(x[REDUCE_DIM_IDX] = i; )==" "\n" |
124 | R"==(int src_off = SRC_OFF(x[0], x[1], x[2], x[3], x[4]); )==" "\n" |
125 | R"==(VECT_FLOAT_T src_vect = CONVERT_VECT_FLOAT_T(AS_VECT_DATA_T( )==" "\n" |
126 | R"==(VECT_BLOCK_READ((const __global BLOCK_DATA_T *)&src[src_off]))); )==" "\n" |
127 | R"==(src_sum += src_vect; )==" "\n" |
128 | R"==(src_pow_sum += src_vect * src_vect; )==" "\n" |
129 | R"==(} )==" "\n" |
130 | R"==(#if VECT_DT_N == 1 )==" "\n" |
131 | R"==(float sum = src_sum; )==" "\n" |
132 | R"==(float pow_sum = src_pow_sum; )==" "\n" |
133 | R"==(#else )==" "\n" |
134 | R"==(float sum = 0; )==" "\n" |
135 | R"==(float pow_sum = 0; )==" "\n" |
136 | R"==(for (int i = 0; i < VECT_DT_N; ++i) { )==" "\n" |
137 | R"==(sum += src_sum[i]; )==" "\n" |
138 | R"==(pow_sum += src_pow_sum[i]; )==" "\n" |
139 | R"==(} )==" "\n" |
140 | R"==(#endif )==" "\n" |
141 | R"==(x[REDUCE_DIM_IDX] = 0; )==" "\n" |
142 | R"==(int reduce_idx = reduce_index(x); )==" "\n" |
143 | R"==(float total_sum = sub_group_reduce_add(sum); )==" "\n" |
144 | R"==(float total_pow_sum = sub_group_reduce_add(pow_sum); )==" "\n" |
145 | R"==(int local_id = get_sub_group_local_id(); )==" "\n" |
146 | R"==(if (local_id == 0) { )==" "\n" |
147 | R"==(float calc_mean = total_sum / (MB * ID * IH * IW); )==" "\n" |
148 | R"==(float calc_variance )==" "\n" |
149 | R"==(= total_pow_sum / (MB * ID * IH * IW) - calc_mean * calc_mean; )==" "\n" |
150 | R"==(mean[x[1]] = calc_mean; )==" "\n" |
151 | R"==(variance[x[1]] = calc_variance < 0 ? 0 : calc_variance; )==" "\n" |
152 | R"==(} )==" "\n" |
153 | R"==(#endif )==" "\n" |
154 | R"==(} )==" "\n" |
155 | R"==(#else )==" "\n" |
156 | R"==(NAMED_KERNEL_ATTR(CALC) )==" "\n" |
157 | R"==(__kernel void calculate_mean(__global DATA_T *src, __global float *mean) { )==" "\n" |
158 | R"==(int x[5]; )==" "\n" |
159 | R"==(x[0] = GWS_GET_STAT_MB(); )==" "\n" |
160 | R"==(x[1] = GWS_GET_STAT_IC(); )==" "\n" |
161 | R"==(x[2] = GWS_GET_STAT_ID(); )==" "\n" |
162 | R"==(x[3] = GWS_GET_STAT_IH(); )==" "\n" |
163 | R"==(x[4] = GWS_GET_STAT_IW(); )==" "\n" |
164 | R"==(float sum = 0; )==" "\n" |
165 | R"==(for (int i = 0; i < REDUCE_DIM; i++) { )==" "\n" |
166 | R"==(x[REDUCE_DIM_IDX] = i; )==" "\n" |
167 | R"==(sum += TO_DEF_ACC_DATA_T(src[SRC_OFF(x[0], x[1], x[2], x[3], x[4])]); )==" "\n" |
168 | R"==(} )==" "\n" |
169 | R"==(x[REDUCE_DIM_IDX] = 0; )==" "\n" |
170 | R"==(int reduce_idx = reduce_index(x); )==" "\n" |
171 | R"==(mean[reduce_idx * IC + x[1]] = sum; )==" "\n" |
172 | R"==(} )==" "\n" |
173 | R"==(NAMED_KERNEL_ATTR(CALC) )==" "\n" |
174 | R"==(__kernel void calculate_variance( )==" "\n" |
175 | R"==(__global DATA_T *src, __global float *mean, __global float *variance) { )==" "\n" |
176 | R"==(int x[5]; )==" "\n" |
177 | R"==(x[0] = GWS_GET_STAT_MB(); )==" "\n" |
178 | R"==(x[1] = GWS_GET_STAT_IC(); )==" "\n" |
179 | R"==(x[2] = GWS_GET_STAT_ID(); )==" "\n" |
180 | R"==(x[3] = GWS_GET_STAT_IH(); )==" "\n" |
181 | R"==(x[4] = GWS_GET_STAT_IW(); )==" "\n" |
182 | R"==(float sum = 0; )==" "\n" |
183 | R"==(for (int i = 0; i < REDUCE_DIM; i++) { )==" "\n" |
184 | R"==(x[REDUCE_DIM_IDX] = i; )==" "\n" |
185 | R"==(DEF_ACC_DATA_T v0 )==" "\n" |
186 | R"==(= TO_DEF_ACC_DATA_T(src[SRC_OFF(x[0], x[1], x[2], x[3], x[4])]) )==" "\n" |
187 | R"==(- mean[x[1]]; )==" "\n" |
188 | R"==(sum += v0 * v0; )==" "\n" |
189 | R"==(} )==" "\n" |
190 | R"==(variance += MB * ID * IH * IW * IC / REDUCE_DIM; )==" "\n" |
191 | R"==(x[REDUCE_DIM_IDX] = 0; )==" "\n" |
192 | R"==(int reduce_idx = reduce_index(x); )==" "\n" |
193 | R"==(variance[reduce_idx * IC + x[1]] = sum; )==" "\n" |
194 | R"==(} )==" "\n" |
195 | R"==(#endif )==" "\n" |
196 | R"==(NAMED_KERNEL_ATTR(REDUCE) )==" "\n" |
197 | R"==(__kernel void reduce_mean(__global float *reduce_temp, __global float *mean) { )==" "\n" |
198 | R"==(const int c = GWS_GET_REDUCE_STAT_IC(); )==" "\n" |
199 | R"==(reduce_temp += c; )==" "\n" |
200 | R"==(float sum = 0.0f; )==" "\n" |
201 | R"==(int reduce_size = MB * ID * IH * IW / REDUCE_DIM; )==" "\n" |
202 | R"==(for (int i = 0; i < reduce_size; i++) { )==" "\n" |
203 | R"==(sum += reduce_temp[i * IC]; )==" "\n" |
204 | R"==(} )==" "\n" |
205 | R"==(mean[c] = sum / (MB * ID * IH * IW); )==" "\n" |
206 | R"==(} )==" "\n" |
207 | R"==(NAMED_KERNEL_ATTR(REDUCE) )==" "\n" |
208 | R"==(__kernel void reduce_variance( )==" "\n" |
209 | R"==(__global float *reduce_temp, __global float *variance) { )==" "\n" |
210 | R"==(const int c = GWS_GET_REDUCE_STAT_IC(); )==" "\n" |
211 | R"==(#if SAVE_STATS == 0 )==" "\n" |
212 | R"==(variance += IC; )==" "\n" |
213 | R"==(#endif )==" "\n" |
214 | R"==(float sum = 0.0f; )==" "\n" |
215 | R"==(int reduce_size = MB * ID * IH * IW / REDUCE_DIM; )==" "\n" |
216 | R"==(reduce_temp += reduce_size * IC + c; )==" "\n" |
217 | R"==(for (int i = 0; i < reduce_size; i++) )==" "\n" |
218 | R"==(sum += reduce_temp[i * IC]; )==" "\n" |
219 | R"==(variance[c] = sum / (MB * ID * IH * IW); )==" "\n" |
220 | R"==(} )==" "\n" |
221 | R"==(#endif )==" "\n" |
222 | R"==(KERNEL_ATTR )==" "\n" |
223 | R"==(__kernel void ref_bnorm_fwd(__global DATA_T *src, __global float *mean, )==" "\n" |
224 | R"==(__global float *variance, __global DATA_T *dst, __global float *scale, )==" "\n" |
225 | R"==(__global float *shift, __global char *ws, float eps, )==" "\n" |
226 | R"==(__global DATA_T *src_add) { )==" "\n" |
227 | R"==(const int n = GWS_GET_MB(); )==" "\n" |
228 | R"==(const int c = GWS_GET_IC(); )==" "\n" |
229 | R"==(const int d = GWS_GET_ID(); )==" "\n" |
230 | R"==(const int h = GWS_GET_IH(); )==" "\n" |
231 | R"==(const int w = GWS_GET_IW(); )==" "\n" |
232 | R"==(#if USE_SCALE == 1 )==" "\n" |
233 | R"==(float sm = scale[c]; )==" "\n" |
234 | R"==(#else )==" "\n" |
235 | R"==(float sm = 1; )==" "\n" |
236 | R"==(#endif )==" "\n" |
237 | R"==(#if USE_SHIFT == 1 )==" "\n" |
238 | R"==(float sv = shift[c]; )==" "\n" |
239 | R"==(#else )==" "\n" |
240 | R"==(float sv = 0; )==" "\n" |
241 | R"==(#endif )==" "\n" |
242 | R"==(#if SAVE_STATS == 0 && CALCULATE_STATS == 1 )==" "\n" |
243 | R"==(variance += IC; )==" "\n" |
244 | R"==(#endif )==" "\n" |
245 | R"==(float v_mean = mean[c]; )==" "\n" |
246 | R"==(float v_variance = variance[c]; )==" "\n" |
247 | R"==(const int off = SRC_OFF(n, c, d, h, w); )==" "\n" |
248 | R"==(float v0 = TO_DEF_ACC_DATA_T(src[off]); )==" "\n" |
249 | R"==(float sqrt_variance = 1.0f / sqrt(v_variance + eps); )==" "\n" |
250 | R"==(float bn_res = sm * (v0 - v_mean) * sqrt_variance + sv; )==" "\n" |
251 | R"==(#if FUSE_BN_ADD_RELU == 1 )==" "\n" |
252 | R"==(bn_res += TO_DEF_ACC_DATA_T(src_add[off]); )==" "\n" |
253 | R"==(#endif )==" "\n" |
254 | R"==(#if FUSE_BN_RELU == 1 )==" "\n" |
255 | R"==(if (bn_res <= 0) { )==" "\n" |
256 | R"==(bn_res = 0; )==" "\n" |
257 | R"==(#if IS_TRAINING == 1 )==" "\n" |
258 | R"==(ws[off] = 0; )==" "\n" |
259 | R"==(} else { )==" "\n" |
260 | R"==(ws[off] = -1; )==" "\n" |
261 | R"==(#endif )==" "\n" |
262 | R"==(} )==" "\n" |
263 | R"==(#endif )==" "\n" |
264 | R"==(#if WITH_RELU )==" "\n" |
265 | R"==(bn_res = max(bn_res, 0.0f); )==" "\n" |
266 | R"==(#endif )==" "\n" |
267 | R"==(dst[off] = TO_DATA_T(bn_res); )==" "\n" |
268 | R"==(} )==" "\n" |
269 | R"==(#endif )==" "\n" |
270 | R"==(#if IS_BWD == 1 )==" "\n" |
271 | R"==(#if USE_16MB_UNROLL == 1 )==" "\n" |
272 | R"==(NAMED_KERNEL_ATTR(CALC) )==" "\n" |
273 | R"==(__kernel void calculate_stats(__global DATA_T *src, __global float *mean, )==" "\n" |
274 | R"==(__global DATA_T *diff_dst, __global char *ws, )==" "\n" |
275 | R"==(__global float *reduce_temp) { )==" "\n" |
276 | R"==(const int mb = GWS_GET_STAT_MB(); )==" "\n" |
277 | R"==(const int stat_mb_block_idx = mb / MB_BLOCK; )==" "\n" |
278 | R"==(const int c = GWS_GET_STAT_IC(); )==" "\n" |
279 | R"==(const int sp_beg = GWS_GET_STAT_SP(); )==" "\n" |
280 | R"==(const int stat_sp_block = GWS_GET_STAT_SP_BLOCK(); )==" "\n" |
281 | R"==(const int stat_sp_nblocks = ID * IH * IW / stat_sp_block; )==" "\n" |
282 | R"==(const int stat_sp_block_idx = sp_beg / stat_sp_block; )==" "\n" |
283 | R"==(const int mb_sp_idx )==" "\n" |
284 | R"==(= stat_mb_block_idx * stat_sp_nblocks + stat_sp_block_idx; )==" "\n" |
285 | R"==(const int s_off = c * ID * IH * IW * MB_BLOCK + mb * IC * ID * IH * IW )==" "\n" |
286 | R"==(+ sp_beg * MB_BLOCK * IC_BLOCK; )==" "\n" |
287 | R"==(src += s_off; )==" "\n" |
288 | R"==(diff_dst += s_off; )==" "\n" |
289 | R"==(#if FUSE_BN_RELU == 1 )==" "\n" |
290 | R"==(ws += s_off; )==" "\n" |
291 | R"==(#endif )==" "\n" |
292 | R"==(VECT_FLOAT_T diff_gamma0 = 0.0f, diff_beta0 = 0.0f; )==" "\n" |
293 | R"==(VECT_FLOAT_T diff_gamma1 = 0.0f, diff_beta1 = 0.0f; )==" "\n" |
294 | R"==(float v_mean = as_float( )==" "\n" |
295 | R"==(intel_sub_group_block_read((const __global uint *)&mean[c])); )==" "\n" |
296 | R"==(for (int sp = sp_beg; sp < sp_beg + stat_sp_block; sp++) { )==" "\n" |
297 | R"==(VECT_FLOAT_T dd0 = CONVERT_VECT_FLOAT_T(AS_VECT_DATA_T( )==" "\n" |
298 | R"==(VECT_BLOCK_READ((const __global BLOCK_DATA_T *)&diff_dst[0]))); )==" "\n" |
299 | R"==(VECT_FLOAT_T ss0 = CONVERT_VECT_FLOAT_T(AS_VECT_DATA_T( )==" "\n" |
300 | R"==(VECT_BLOCK_READ((const __global BLOCK_DATA_T *)&src[0]))); )==" "\n" |
301 | R"==(#ifdef MB16 )==" "\n" |
302 | R"==(VECT_FLOAT_T dd1 = CONVERT_VECT_FLOAT_T(AS_VECT_DATA_T(VECT_BLOCK_READ( )==" "\n" |
303 | R"==((const __global BLOCK_DATA_T *)&diff_dst[8 * 16]))); )==" "\n" |
304 | R"==(VECT_FLOAT_T ss1 = CONVERT_VECT_FLOAT_T(AS_VECT_DATA_T( )==" "\n" |
305 | R"==(VECT_BLOCK_READ((const __global BLOCK_DATA_T *)&src[8 * 16]))); )==" "\n" |
306 | R"==(#endif )==" "\n" |
307 | R"==(#if FUSE_BN_RELU == 1 )==" "\n" |
308 | R"==(VECT_INT_T ws0 = VECT_CHAR_TO_INT(AS_VECT_CHAR_T( )==" "\n" |
309 | R"==(VECT_UCHAR_READ((const __global uchar *)&ws[0]))); )==" "\n" |
310 | R"==(dd0 = select((VECT_FLOAT_T)0.0f, dd0, ws0); )==" "\n" |
311 | R"==(#ifdef MB16 )==" "\n" |
312 | R"==(VECT_INT_T ws1 = VECT_CHAR_TO_INT(AS_VECT_CHAR_T( )==" "\n" |
313 | R"==(VECT_UCHAR_READ((const __global uchar *)&ws[8 * 16]))); )==" "\n" |
314 | R"==(dd1 = select((VECT_FLOAT_T)0.0f, dd1, ws1); )==" "\n" |
315 | R"==(#endif )==" "\n" |
316 | R"==(ws += MB_BLOCK * IC_BLOCK; )==" "\n" |
317 | R"==(#endif )==" "\n" |
318 | R"==(diff_gamma0 = fma((ss0 - (VECT_FLOAT_T)v_mean), dd0, diff_gamma0); )==" "\n" |
319 | R"==(diff_beta0 += dd0; )==" "\n" |
320 | R"==(#ifdef MB16 )==" "\n" |
321 | R"==(diff_gamma1 = fma((ss1 - (VECT_FLOAT_T)v_mean), dd1, diff_gamma1); )==" "\n" |
322 | R"==(diff_beta1 += dd1; )==" "\n" |
323 | R"==(#endif )==" "\n" |
324 | R"==(src += MB_BLOCK * IC_BLOCK; )==" "\n" |
325 | R"==(diff_dst += MB_BLOCK * IC_BLOCK; )==" "\n" |
326 | R"==(} )==" "\n" |
327 | R"==(#ifdef MB16 )==" "\n" |
328 | R"==(float v_diff_gamma = 0.0f, v_diff_beta = 0.0; )==" "\n" |
329 | R"==(for (int i = 0; i < 8; i++) { )==" "\n" |
330 | R"==(v_diff_gamma += diff_gamma0[i] + diff_gamma1[i]; )==" "\n" |
331 | R"==(v_diff_beta += diff_beta0[i] + diff_beta1[i]; )==" "\n" |
332 | R"==(} )==" "\n" |
333 | R"==(#else )==" "\n" |
334 | R"==(float v_diff_gamma = diff_gamma0, v_diff_beta = diff_beta0; )==" "\n" |
335 | R"==(#endif )==" "\n" |
336 | R"==(intel_sub_group_block_write( )==" "\n" |
337 | R"==((__global uint *)&reduce_temp[mb_sp_idx * IC + c], )==" "\n" |
338 | R"==(as_uint(v_diff_gamma)); )==" "\n" |
339 | R"==(intel_sub_group_block_write( )==" "\n" |
340 | R"==((__global uint *)&reduce_temp[REDUCE_STAT_NBLOCKS * IC )==" "\n" |
341 | R"==(+ mb_sp_idx * IC + c], )==" "\n" |
342 | R"==(as_uint(v_diff_beta)); )==" "\n" |
343 | R"==(} )==" "\n" |
344 | R"==(NAMED_KERNEL_ATTR(REDUCE) )==" "\n" |
345 | R"==(__kernel void reduce_stats(__global float *reduce_temp, )==" "\n" |
346 | R"==(__global float *diff_scale, __global float *diff_shift, )==" "\n" |
347 | R"==(__global float *variance, float eps) { )==" "\n" |
348 | R"==(const int c = GWS_GET_REDUCE_STAT_IC(); )==" "\n" |
349 | R"==(reduce_temp += c; )==" "\n" |
350 | R"==(float diff_gamma = 0.0f, diff_beta = 0.0f; )==" "\n" |
351 | R"==(for (int i = 0; i < REDUCE_STAT_NBLOCKS; i++) { )==" "\n" |
352 | R"==(diff_gamma += reduce_temp[i * IC]; )==" "\n" |
353 | R"==(diff_beta += reduce_temp[REDUCE_STAT_NBLOCKS * IC + i * IC]; )==" "\n" |
354 | R"==(} )==" "\n" |
355 | R"==(float sqrt_variance = 1.0f / sqrt(variance[c] + eps); )==" "\n" |
356 | R"==(diff_scale[c] = diff_gamma * sqrt_variance; )==" "\n" |
357 | R"==(#if DIFF_SHIFT == 1 )==" "\n" |
358 | R"==(diff_shift[c] = diff_beta; )==" "\n" |
359 | R"==(#else )==" "\n" |
360 | R"==(diff_shift[REDUCE_STAT_NBLOCKS * IC + c] = diff_beta; )==" "\n" |
361 | R"==(#endif )==" "\n" |
362 | R"==(} )==" "\n" |
363 | R"==(#else )==" "\n" |
364 | R"==(NAMED_KERNEL_ATTR(CALC) )==" "\n" |
365 | R"==(__kernel void calculate_stats(__global DATA_T *src, __global float *mean, )==" "\n" |
366 | R"==(__global DATA_T *diff_dst, __global char *ws, )==" "\n" |
367 | R"==(__global float *reduce_temp) { )==" "\n" |
368 | R"==(float diff_gamma = 0; )==" "\n" |
369 | R"==(float diff_beta = 0; )==" "\n" |
370 | R"==(int x[5]; )==" "\n" |
371 | R"==(x[0] = GWS_GET_STAT_MB(); )==" "\n" |
372 | R"==(x[1] = GWS_GET_STAT_IC(); )==" "\n" |
373 | R"==(x[2] = GWS_GET_STAT_ID(); )==" "\n" |
374 | R"==(x[3] = GWS_GET_STAT_IH(); )==" "\n" |
375 | R"==(x[4] = GWS_GET_STAT_IW(); )==" "\n" |
376 | R"==(for (int i = 0; i < REDUCE_DIM; i++) { )==" "\n" |
377 | R"==(x[REDUCE_DIM_IDX] = i; )==" "\n" |
378 | R"==(int off = SRC_OFF(x[0], x[1], x[2], x[3], x[4]); )==" "\n" |
379 | R"==(float dd = CONVERT_FLOAT_T(diff_dst[off]); )==" "\n" |
380 | R"==(#if FUSE_BN_RELU == 1 )==" "\n" |
381 | R"==(if (!ws[off]) dd = 0; )==" "\n" |
382 | R"==(#endif )==" "\n" |
383 | R"==(diff_gamma += (CONVERT_FLOAT_T(src[off]) - mean[x[1]]) * dd; )==" "\n" |
384 | R"==(diff_beta += dd; )==" "\n" |
385 | R"==(} )==" "\n" |
386 | R"==(int ss_off = MB * ID * IH * IW * IC / REDUCE_DIM; )==" "\n" |
387 | R"==(x[REDUCE_DIM_IDX] = 0; )==" "\n" |
388 | R"==(int reduce_idx = reduce_index(x); )==" "\n" |
389 | R"==(reduce_temp[reduce_idx * IC + x[1]] = diff_gamma; )==" "\n" |
390 | R"==(reduce_temp[ss_off + reduce_idx * IC + x[1]] = diff_beta; )==" "\n" |
391 | R"==(} )==" "\n" |
392 | R"==(NAMED_KERNEL_ATTR(REDUCE) )==" "\n" |
393 | R"==(__kernel void reduce_stats(__global float *reduce_temp, )==" "\n" |
394 | R"==(__global float *diff_scale, __global float *diff_shift, )==" "\n" |
395 | R"==(__global float *variance, float eps) { )==" "\n" |
396 | R"==(const int c = GWS_GET_REDUCE_STAT_IC(); )==" "\n" |
397 | R"==(float diff_gamma = 0.0f; )==" "\n" |
398 | R"==(float diff_beta = 0.0f; )==" "\n" |
399 | R"==(int reduce_size = MB * ID * IH * IW / REDUCE_DIM; )==" "\n" |
400 | R"==(for (int i = 0; i < reduce_size; i++) { )==" "\n" |
401 | R"==(diff_gamma += reduce_temp[c + i * IC]; )==" "\n" |
402 | R"==(diff_beta += reduce_temp[IC * reduce_size + c + i * IC]; )==" "\n" |
403 | R"==(} )==" "\n" |
404 | R"==(float sqrt_variance = 1.0f / sqrt(variance[c] + eps); )==" "\n" |
405 | R"==(diff_scale[c] = diff_gamma * sqrt_variance; )==" "\n" |
406 | R"==(#if DIFF_SHIFT == 1 )==" "\n" |
407 | R"==(diff_shift[c] = diff_beta; )==" "\n" |
408 | R"==(#else )==" "\n" |
409 | R"==(diff_shift[IC * reduce_size + c] = diff_beta; )==" "\n" |
410 | R"==(#endif )==" "\n" |
411 | R"==(} )==" "\n" |
412 | R"==(#endif )==" "\n" |
413 | R"==(KERNEL_ATTR )==" "\n" |
414 | R"==(__kernel void ref_bnorm_bwd(__global DATA_T *src, __global float *mean, )==" "\n" |
415 | R"==(__global float *variance, __global DATA_T *diff_dst, )==" "\n" |
416 | R"==(__global float *scale, __global char *ws, __global DATA_T *diff_src, )==" "\n" |
417 | R"==(__global float *diff_scale, __global float *diff_shift, float eps, )==" "\n" |
418 | R"==(__global DATA_T *diff_src_add) { )==" "\n" |
419 | R"==(#if USE_16MB_UNROLL == 1 )==" "\n" |
420 | R"==(const int n = GWS_GET_MB(); )==" "\n" |
421 | R"==(const int c = GWS_GET_IC(); )==" "\n" |
422 | R"==(const int d = GWS_GET_ID(); )==" "\n" |
423 | R"==(const int h = GWS_GET_IH(); )==" "\n" |
424 | R"==(const int w = GWS_GET_IW(); )==" "\n" |
425 | R"==(#if USE_SCALE == 1 )==" "\n" |
426 | R"==(float gamma = as_float( )==" "\n" |
427 | R"==(intel_sub_group_block_read((const __global uint *)&scale[c])); )==" "\n" |
428 | R"==(#else )==" "\n" |
429 | R"==(float gamma = 1.0f; )==" "\n" |
430 | R"==(#endif )==" "\n" |
431 | R"==(float v_variance = as_float( )==" "\n" |
432 | R"==(intel_sub_group_block_read((const __global uint *)&variance[c])); )==" "\n" |
433 | R"==(float sqrt_variance = 1.0f / sqrt(v_variance + eps); )==" "\n" |
434 | R"==(#if CALCULATE_DIFF_STATS == 1 )==" "\n" |
435 | R"==(float v_mean = as_float( )==" "\n" |
436 | R"==(intel_sub_group_block_read((const __global uint *)&mean[c])); )==" "\n" |
437 | R"==(float diff_gamma = as_float( )==" "\n" |
438 | R"==(intel_sub_group_block_read((const __global uint *)&diff_scale[c])); )==" "\n" |
439 | R"==(#if DIFF_SHIFT == 1 )==" "\n" |
440 | R"==(float diff_beta = as_float( )==" "\n" |
441 | R"==(intel_sub_group_block_read((const __global uint *)&diff_shift[c])); )==" "\n" |
442 | R"==(#else )==" "\n" |
443 | R"==(float diff_beta = as_float(intel_sub_group_block_read( )==" "\n" |
444 | R"==((const __global uint *)&diff_shift[REDUCE_STAT_NBLOCKS * IC + c])); )==" "\n" |
445 | R"==(#endif )==" "\n" |
446 | R"==(#endif )==" "\n" |
447 | R"==(const uint d_off = SRC_OFF(n, c, d, h, w); )==" "\n" |
448 | R"==(diff_src += d_off; )==" "\n" |
449 | R"==(#if FUSE_BN_ADD_RELU == 1 )==" "\n" |
450 | R"==(diff_src_add += d_off; )==" "\n" |
451 | R"==(#endif )==" "\n" |
452 | R"==(diff_dst += d_off; )==" "\n" |
453 | R"==(src += d_off; )==" "\n" |
454 | R"==(VECT_FLOAT_T blockD0 = CONVERT_VECT_FLOAT_T(AS_VECT_DATA_T( )==" "\n" |
455 | R"==(VECT_BLOCK_READ((const __global BLOCK_DATA_T *)&diff_dst[0]))); )==" "\n" |
456 | R"==(#ifdef MB16 )==" "\n" |
457 | R"==(VECT_FLOAT_T blockD1 = CONVERT_VECT_FLOAT_T(AS_VECT_DATA_T(VECT_BLOCK_READ( )==" "\n" |
458 | R"==((const __global BLOCK_DATA_T *)&diff_dst[8 * IC_BLOCK]))); )==" "\n" |
459 | R"==(#endif )==" "\n" |
460 | R"==(#if FUSE_BN_RELU == 1 )==" "\n" |
461 | R"==(ws += d_off; )==" "\n" |
462 | R"==(VECT_INT_T blockWS0 = VECT_CHAR_TO_INT( )==" "\n" |
463 | R"==(AS_VECT_CHAR_T(VECT_UCHAR_READ((const __global uchar *)&ws[0]))); )==" "\n" |
464 | R"==(blockD0 = select((VECT_FLOAT_T)0.0f, blockD0, blockWS0); )==" "\n" |
465 | R"==(#if FUSE_BN_ADD_RELU == 1 )==" "\n" |
466 | R"==(VECT_BLOCK_WRITE((__global BLOCK_DATA_T *)&diff_src_add[0], )==" "\n" |
467 | R"==(AS_VECT_BLOCK_DATA_T(CONVERT_VECTOR_DATA_T(blockD0))); )==" "\n" |
468 | R"==(#endif )==" "\n" |
469 | R"==(#ifdef MB16 )==" "\n" |
470 | R"==(VECT_INT_T blockWS1 = VECT_CHAR_TO_INT(AS_VECT_CHAR_T( )==" "\n" |
471 | R"==(VECT_UCHAR_READ((const __global uchar *)&ws[8 * IC_BLOCK]))); )==" "\n" |
472 | R"==(blockD1 = select((VECT_FLOAT_T)0.0f, blockD1, blockWS1); )==" "\n" |
473 | R"==(#if FUSE_BN_ADD_RELU == 1 )==" "\n" |
474 | R"==(VECT_BLOCK_WRITE((__global BLOCK_DATA_T *)&diff_src_add[8 * 16], )==" "\n" |
475 | R"==(AS_VECT_BLOCK_DATA_T(CONVERT_VECTOR_DATA_T(blockD1))); )==" "\n" |
476 | R"==(#endif )==" "\n" |
477 | R"==(#endif )==" "\n" |
478 | R"==(#endif )==" "\n" |
479 | R"==(gamma *= sqrt_variance; )==" "\n" |
480 | R"==(#if CALCULATE_DIFF_STATS == 1 )==" "\n" |
481 | R"==(diff_gamma *= sqrt_variance; )==" "\n" |
482 | R"==(diff_gamma /= (MB * ID * IH * IW); )==" "\n" |
483 | R"==(diff_beta /= (MB * ID * IH * IW); )==" "\n" |
484 | R"==(VECT_FLOAT_T blockS0 = CONVERT_VECT_FLOAT_T(AS_VECT_DATA_T( )==" "\n" |
485 | R"==(VECT_BLOCK_READ((const __global BLOCK_DATA_T *)&src[0]))); )==" "\n" |
486 | R"==(blockD0 -= fma((VECT_FLOAT_T)diff_gamma, (blockS0 - (VECT_FLOAT_T)v_mean), )==" "\n" |
487 | R"==((VECT_FLOAT_T)diff_beta); )==" "\n" |
488 | R"==(#ifdef MB16 )==" "\n" |
489 | R"==(VECT_FLOAT_T blockS1 = CONVERT_VECT_FLOAT_T(AS_VECT_DATA_T(VECT_BLOCK_READ( )==" "\n" |
490 | R"==((const __global BLOCK_DATA_T *)&src[8 * IC_BLOCK]))); )==" "\n" |
491 | R"==(blockD1 -= fma((VECT_FLOAT_T)diff_gamma, (blockS1 - (VECT_FLOAT_T)v_mean), )==" "\n" |
492 | R"==((VECT_FLOAT_T)diff_beta); )==" "\n" |
493 | R"==(#endif )==" "\n" |
494 | R"==(#endif )==" "\n" |
495 | R"==(blockD0 *= gamma; )==" "\n" |
496 | R"==(VECT_BLOCK_WRITE((__global BLOCK_DATA_T *)&diff_src[0], )==" "\n" |
497 | R"==(AS_VECT_BLOCK_DATA_T(CONVERT_VECTOR_DATA_T(blockD0))); )==" "\n" |
498 | R"==(#ifdef MB16 )==" "\n" |
499 | R"==(blockD1 *= gamma; )==" "\n" |
500 | R"==(VECT_BLOCK_WRITE((__global BLOCK_DATA_T *)&diff_src[8 * 16], )==" "\n" |
501 | R"==(AS_VECT_BLOCK_DATA_T(CONVERT_VECTOR_DATA_T(blockD1))); )==" "\n" |
502 | R"==(#endif )==" "\n" |
503 | R"==(#else )==" "\n" |
504 | R"==(const int n = GWS_GET_MB(); )==" "\n" |
505 | R"==(const int c = GWS_GET_IC(); )==" "\n" |
506 | R"==(const int d = GWS_GET_ID(); )==" "\n" |
507 | R"==(const int h = GWS_GET_IH(); )==" "\n" |
508 | R"==(const int w = GWS_GET_IW(); )==" "\n" |
509 | R"==(float v_variance = variance[c]; )==" "\n" |
510 | R"==(float sqrt_variance = 1.0f / sqrt(v_variance + eps); )==" "\n" |
511 | R"==(#if USE_SCALE == 1 )==" "\n" |
512 | R"==(float gamma = scale[c]; )==" "\n" |
513 | R"==(#else )==" "\n" |
514 | R"==(float gamma = 1; )==" "\n" |
515 | R"==(#endif )==" "\n" |
516 | R"==(#if CALCULATE_DIFF_STATS == 1 )==" "\n" |
517 | R"==(float v_mean = mean[c]; )==" "\n" |
518 | R"==(float diff_gamma = diff_scale[c]; )==" "\n" |
519 | R"==(#if DIFF_SHIFT == 1 )==" "\n" |
520 | R"==(float diff_beta = diff_shift[c]; )==" "\n" |
521 | R"==(#else )==" "\n" |
522 | R"==(int reduce_size = MB * ID * IH * IW / REDUCE_DIM; )==" "\n" |
523 | R"==(float diff_beta = diff_shift[reduce_size * IC + c]; )==" "\n" |
524 | R"==(#endif )==" "\n" |
525 | R"==(#endif )==" "\n" |
526 | R"==(const int off = SRC_OFF(n, c, d, h, w); )==" "\n" |
527 | R"==(float dd = TO_DEF_ACC_DATA_T(diff_dst[off]); )==" "\n" |
528 | R"==(#if FUSE_BN_RELU == 1 )==" "\n" |
529 | R"==(if (!ws[off]) dd = 0; )==" "\n" |
530 | R"==(#if FUSE_BN_ADD_RELU == 1 )==" "\n" |
531 | R"==(diff_src_add[off] = TO_DATA_T(dd); )==" "\n" |
532 | R"==(#endif )==" "\n" |
533 | R"==(#endif )==" "\n" |
534 | R"==(float v_diff_src = dd; )==" "\n" |
535 | R"==(#if CALCULATE_DIFF_STATS == 1 )==" "\n" |
536 | R"==(v_diff_src -= diff_beta / (MB * ID * IH * IW) )==" "\n" |
537 | R"==(+ (CONVERT_FLOAT_T(src[off]) - v_mean) * diff_gamma * sqrt_variance )==" "\n" |
538 | R"==(/ (MB * ID * IH * IW); )==" "\n" |
539 | R"==(#endif )==" "\n" |
540 | R"==(v_diff_src *= gamma * sqrt_variance; )==" "\n" |
541 | R"==(diff_src[off] = TO_DATA_T(v_diff_src); )==" "\n" |
542 | R"==(#endif )==" "\n" |
543 | R"==(} )==" "\n" |
544 | R"==(#endif )==" "\n" |
545 | R"==()==" ; |
546 | } |
547 | } |
548 | } |
549 | } |