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conv_backdata_stride2.cpp 47 kB

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  1. /**
  2. * \file dnn/src/arm_common/convolution/int8x8x32/conv_backdata_stride2.cpp
  3. * MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
  4. *
  5. * Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
  6. *
  7. * Unless required by applicable law or agreed to in writing,
  8. * software distributed under the License is distributed on an
  9. * "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  10. */
  11. #if __ARM_FEATURE_DOTPROD
  12. #include "src/arm_common/convolution/int8x8x32/conv_backdata_stride2.h"
  13. #include "src/common/utils.h"
  14. #include <cstring>
  15. #include "src/arm_common/simd_macro/marm_neon.h"
  16. using namespace megdnn;
  17. using namespace arm_common;
  18. using namespace deconv;
  19. namespace {
  20. bool need_dst_copy(const NCBKernSizeParam& param) {
  21. if (param.osz[1] % 4 != 0) {
  22. // If the size of output is not multiples of 4, we need to copy it.
  23. return true;
  24. }
  25. return false;
  26. }
  27. void get_rectified_size(size_t IH, size_t IW, size_t OH, size_t OW, size_t FH,
  28. size_t FW, size_t PH, size_t PW, size_t& IH2,
  29. size_t& IW2, size_t& OW2) {
  30. MEGDNN_MARK_USED_VAR(OH);
  31. MEGDNN_MARK_USED_VAR(IW);
  32. //! OW should be a multiple of 4
  33. OW2 = (OW + 3) & ~3;
  34. IH2 = 2 * IH - 1 + 2 * (FH - PH - 1);
  35. IW2 = (OW2 - FW + 2 * PW) / 2 + 1 + (FW - PW - 1) + 16;
  36. }
  37. WorkspaceBundle get_bundle(const NCBKernSizeParam& param) {
  38. UNPACK_CONV_F32_NCB_KERN_SIZES(param);
  39. MEGDNN_MARK_USED_VAR(N);
  40. MEGDNN_MARK_USED_VAR(OC);
  41. MEGDNN_MARK_USED_VAR(SH);
  42. MEGDNN_MARK_USED_VAR(SW);
  43. size_t src_size = 0, dst_size = 0;
  44. size_t IH2, IW2, OW2;
  45. get_rectified_size(IH, IW, OH, OW, FH, FW, PH, PW, IH2, IW2, OW2);
  46. src_size = sizeof(int8_t) * IH2 * IW2;
  47. if (need_dst_copy(param)) {
  48. dst_size = sizeof(int32_t) * IC * OH * OW2;
  49. }
  50. return WorkspaceBundle(nullptr, {src_size, dst_size});
  51. }
  52. inline int8x16_t vqtbl1q_s8_common(int8x16_t a, uint8x16_t index) {
  53. int8x8x2_t src;
  54. src.val[0] = vget_low_s8(a);
  55. src.val[1] = vget_high_s8(a);
  56. uint8x8_t index_low = vget_low_u8(index);
  57. uint8x8_t index_high = vget_high_u8(index);
  58. int8x8_t r00 = vtbl2_s8(src, vreinterpret_s8_u8(index_low));
  59. int8x8_t r01 = vtbl2_s8(src, vreinterpret_s8_u8(index_high));
  60. int8x16_t r = vcombine_s8(r00, r01);
  61. return r;
  62. }
  63. #define CALC_0(_k_idx, _c_idx) \
  64. _elem = vqtbl1q_s8_common(_tmp, _idx##_c_idx); \
  65. _sum0##_c_idx = vdotq_s32(_sum0##_c_idx, _k##_k_idx, _elem);
  66. #define CALC_1(_k_idx, _c_idx) \
  67. _elem = vqtbl1q_s8_common(_tmp, _idx##_c_idx); \
  68. _sum1##_c_idx = vdotq_s32(_sum1##_c_idx, _k##_k_idx, _elem);
  69. #define CALC_2(_k1_idx, _k2_idx, _c_idx) \
  70. _elem = vqtbl1q_s8_common(_tmp, _idx##_c_idx); \
  71. _sum0##_c_idx = vdotq_s32(_sum0##_c_idx, _k##_k1_idx, _elem); \
  72. _sum1##_c_idx = vdotq_s32(_sum1##_c_idx, _k##_k2_idx, _elem);
  73. template <bool even>
  74. void deconv_direct_2x2(const int8_t* src, const int8_t* filter, int32_t* dst,
  75. size_t IH, size_t IW, size_t OH, size_t OW, size_t IC) {
  76. MEGDNN_MARK_USED_VAR(IH);
  77. const size_t tail_step = IW - OW / 2;
  78. const uint8x16_t _idx0 = {0, 1, 16, 16, 1, 2, 16, 16,
  79. 2, 3, 16, 16, 3, 4, 16, 16};
  80. const uint8x16_t _idx1 = {4, 5, 16, 16, 5, 6, 16, 16,
  81. 6, 7, 16, 16, 7, 8, 16, 16};
  82. uint8x16_t _idx_r_0, _idx_r_1;
  83. if (even) {
  84. _idx_r_0 = {0, 16, 1, 16, 2, 16, 3, 16, 4, 16, 5, 16, 6, 16, 7, 16};
  85. _idx_r_1 = {16, 1, 16, 2, 16, 3, 16, 4, 16, 5, 16, 6, 16, 7, 16, 8};
  86. } else {
  87. _idx_r_0 = {16, 0, 16, 1, 16, 2, 16, 3, 16, 4, 16, 5, 16, 6, 16, 7};
  88. _idx_r_1 = {0, 16, 1, 16, 2, 16, 3, 16, 4, 16, 5, 16, 6, 16, 7, 16};
  89. }
  90. rep(ic, IC) {
  91. const int8_t* src_ptr = src;
  92. int32_t* dst_ptr = dst + OW * OH * ic;
  93. int32_t* outptr = dst_ptr;
  94. int32_t* outptr2 = dst_ptr + OW;
  95. const int8_t* r0 = src_ptr;
  96. const int8_t* r1 = src_ptr + IW;
  97. const int8_t* r2 = src_ptr + 2 * IW;
  98. const int8_t* k0 = filter;
  99. int8x16_t _k0 = vreinterpretq_s8_s32(
  100. vdupq_n_s32(*reinterpret_cast<const int32_t*>(k0)));
  101. uint8x16_t _idx_k = {3, 2, 1, 0, 3, 2, 1, 0, 3, 2, 1, 0, 3, 2, 1, 0};
  102. int8x16_t _k = vqtbl1q_s8_common(_k0, _idx_k);
  103. uint8x16_t _idx = {0, 1, 16, 16, 0, 1, 16, 16,
  104. 0, 1, 16, 16, 0, 1, 16, 16};
  105. int8x16_t _k1 = vqtbl1q_s8_common(_k, _idx);
  106. _idx = {2, 3, 16, 16, 2, 3, 16, 16, 2, 3, 16, 16, 2, 3, 16, 16};
  107. int8x16_t _k23 = vqtbl1q_s8_common(_k, _idx);
  108. int8x16_t _tmp, _elem;
  109. const int width = OW >> 2;
  110. size_t h = 0;
  111. for (; h + 1 < OH; h += 2) {
  112. int w = 0;
  113. for (; w + 4 < width; w += 4) {
  114. int32x4x2_t _sum00, _sum01, _sum10, _sum11;
  115. _sum00 = vld2q_s32(outptr);
  116. _sum01 = vld2q_s32(outptr + 8);
  117. _sum10 = vld2q_s32(outptr2);
  118. _sum11 = vld2q_s32(outptr2 + 8);
  119. int8x16_t _r0_ori = vld1q_s8(r0);
  120. int8x16_t _r00 = vqtbl1q_s8_common(_r0_ori, _idx_r_0);
  121. int8x16_t _r01 = vqtbl1q_s8_common(_r0_ori, _idx_r_1);
  122. int8x16_t _r1_ori = vld1q_s8(r1);
  123. int8x16_t _r10 = vqtbl1q_s8_common(_r1_ori, _idx_r_0);
  124. int8x16_t _r11 = vqtbl1q_s8_common(_r1_ori, _idx_r_1);
  125. int8x16_t _r2_ori = vld1q_s8(r2);
  126. int8x16_t _r20 = vqtbl1q_s8_common(_r2_ori, _idx_r_0);
  127. int8x16_t _r21 = vqtbl1q_s8_common(_r2_ori, _idx_r_1);
  128. int16x8x2_t r_00 = vzipq_s16(vreinterpretq_s16_s8(_r00),
  129. vreinterpretq_s16_s8(_r10));
  130. int8x16_t _r0 = r_00.val[0];
  131. int8x16_t _r2 = r_00.val[1];
  132. int16x8x2_t r_11 = vzipq_s16(vreinterpretq_s16_s8(_r01),
  133. vreinterpretq_s16_s8(_r11));
  134. int8x16_t _r1 = r_11.val[0];
  135. int8x16_t _r3 = r_11.val[1];
  136. _sum00.val[0] = vdotq_s32(_sum00.val[0], _k, _r0);
  137. _sum00.val[1] = vdotq_s32(_sum00.val[1], _k, _r1);
  138. _sum01.val[0] = vdotq_s32(_sum01.val[0], _k, _r2);
  139. _sum01.val[1] = vdotq_s32(_sum01.val[1], _k, _r3);
  140. r_00 = vzipq_s16(vreinterpretq_s16_s8(_r10),
  141. vreinterpretq_s16_s8(_r20));
  142. _r0 = r_00.val[0];
  143. _r2 = r_00.val[1];
  144. r_11 = vzipq_s16(vreinterpretq_s16_s8(_r11),
  145. vreinterpretq_s16_s8(_r21));
  146. _r1 = r_11.val[0];
  147. _r3 = r_11.val[1];
  148. _sum10.val[0] = vdotq_s32(_sum10.val[0], _k, _r0);
  149. _sum10.val[1] = vdotq_s32(_sum10.val[1], _k, _r1);
  150. _sum11.val[0] = vdotq_s32(_sum11.val[0], _k, _r2);
  151. _sum11.val[1] = vdotq_s32(_sum11.val[1], _k, _r3);
  152. vst2q_s32(outptr, _sum00);
  153. vst2q_s32(outptr + 8, _sum01);
  154. vst2q_s32(outptr2, _sum10);
  155. vst2q_s32(outptr2 + 8, _sum11);
  156. r0 += 8;
  157. r1 += 8;
  158. r2 += 8;
  159. outptr += 16;
  160. outptr2 += 16;
  161. }
  162. for (; w + 2 < width; w += 2) {
  163. int32x4_t _sum00 = vld1q_s32(outptr);
  164. int32x4_t _sum01 = vld1q_s32(outptr + 4);
  165. int32x4_t _sum10 = vld1q_s32(outptr2);
  166. int32x4_t _sum11 = vld1q_s32(outptr2 + 4);
  167. int8x16_t _r_ori = vld1q_s8(r0);
  168. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  169. CALC_0(1, 0);
  170. CALC_0(1, 1);
  171. _r_ori = vld1q_s8(r1);
  172. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  173. CALC_2(23, 1, 0);
  174. CALC_2(23, 1, 1);
  175. _r_ori = vld1q_s8(r2);
  176. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  177. CALC_1(23, 0);
  178. CALC_1(23, 1);
  179. vst1q_s32(outptr, _sum00);
  180. vst1q_s32(outptr + 4, _sum01);
  181. vst1q_s32(outptr2, _sum10);
  182. vst1q_s32(outptr2 + 4, _sum11);
  183. r0 += 4;
  184. r1 += 4;
  185. r2 += 4;
  186. outptr += 8;
  187. outptr2 += 8;
  188. }
  189. for (; w < width; w++) {
  190. int32x4_t _sum00 = vld1q_s32(outptr);
  191. int32x4_t _sum10 = vld1q_s32(outptr2);
  192. int8x16_t _r_ori = vtranslq_s8(vld1_s8(r0));
  193. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  194. CALC_0(1, 0);
  195. _r_ori = vtranslq_s8(vld1_s8(r1));
  196. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  197. CALC_2(23, 1, 0);
  198. _r_ori = vtranslq_s8(vld1_s8(r2));
  199. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  200. CALC_1(23, 0);
  201. vst1q_s32(outptr, _sum00);
  202. vst1q_s32(outptr2, _sum10);
  203. r0 += 2;
  204. r1 += 2;
  205. r2 += 2;
  206. outptr += 4;
  207. outptr2 += 4;
  208. }
  209. r0 += tail_step + IW;
  210. r1 += tail_step + IW;
  211. r2 += tail_step + IW;
  212. outptr += OW;
  213. outptr2 += OW;
  214. }
  215. for (; h < OH; h++) {
  216. int w = 0;
  217. for (; w + 4 < width; w += 4) {
  218. int32x4x2_t _sum0, _sum1;
  219. _sum0 = vld2q_s32(outptr);
  220. _sum1 = vld2q_s32(outptr + 8);
  221. int8x16_t _r0_ori = vld1q_s8(r0);
  222. int8x16_t _r00 = vqtbl1q_s8_common(_r0_ori, _idx_r_0);
  223. int8x16_t _r01 = vqtbl1q_s8_common(_r0_ori, _idx_r_1);
  224. int8x16_t _r1_ori = vld1q_s8(r1);
  225. int8x16_t _r10 = vqtbl1q_s8_common(_r1_ori, _idx_r_0);
  226. int8x16_t _r11 = vqtbl1q_s8_common(_r1_ori, _idx_r_1);
  227. int16x8x2_t r_00 = vzipq_s16(vreinterpretq_s16_s8(_r00),
  228. vreinterpretq_s16_s8(_r10));
  229. int8x16_t _r0 = r_00.val[0];
  230. int8x16_t _r2 = r_00.val[1];
  231. int16x8x2_t r_11 = vzipq_s16(vreinterpretq_s16_s8(_r01),
  232. vreinterpretq_s16_s8(_r11));
  233. int8x16_t _r1 = r_11.val[0];
  234. int8x16_t _r3 = r_11.val[1];
  235. _sum0.val[0] = vdotq_s32(_sum0.val[0], _k, _r0);
  236. _sum0.val[1] = vdotq_s32(_sum0.val[1], _k, _r1);
  237. _sum1.val[0] = vdotq_s32(_sum1.val[0], _k, _r2);
  238. _sum1.val[1] = vdotq_s32(_sum1.val[1], _k, _r3);
  239. vst2q_s32(outptr, _sum0);
  240. vst2q_s32(outptr + 8, _sum1);
  241. r0 += 8;
  242. r1 += 8;
  243. outptr += 16;
  244. }
  245. for (; w + 2 < width; w += 2) {
  246. int32x4_t _sum00 = vld1q_s32(outptr);
  247. int32x4_t _sum01 = vld1q_s32(outptr + 4);
  248. int8x16_t _r_ori = vld1q_s8(r0);
  249. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  250. CALC_0(1, 0);
  251. CALC_0(1, 1);
  252. _r_ori = vld1q_s8(r1);
  253. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  254. CALC_0(23, 0);
  255. CALC_0(23, 1);
  256. vst1q_s32(outptr, _sum00);
  257. vst1q_s32(outptr + 4, _sum01);
  258. r0 += 4;
  259. r1 += 4;
  260. outptr += 8;
  261. }
  262. for (; w < width; w++) {
  263. int32x4_t _sum00 = vld1q_s32(outptr);
  264. int8x16_t _r_ori = vtranslq_s8(vld1_s8(r0));
  265. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  266. CALC_0(1, 0);
  267. _r_ori = vtranslq_s8(vld1_s8(r1));
  268. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  269. CALC_0(23, 0);
  270. vst1q_s32(outptr, _sum00);
  271. r0 += 2;
  272. r1 += 2;
  273. outptr += 4;
  274. }
  275. r0 += tail_step;
  276. r1 += tail_step;
  277. }
  278. filter += 4;
  279. }
  280. }
  281. template <bool even>
  282. void deconv_direct_3x3(const int8_t* src, const int8_t* filter, int32_t* dst,
  283. size_t IH, size_t IW, size_t OH, size_t OW, size_t IC) {
  284. MEGDNN_MARK_USED_VAR(IH);
  285. const size_t tail_step = IW - OW / 2;
  286. const uint8x16_t _idx0 = {0, 1, 2, 16, 1, 2, 3, 16,
  287. 2, 3, 4, 16, 3, 4, 5, 16};
  288. const uint8x16_t _idx1 = {4, 5, 6, 16, 5, 6, 7, 16,
  289. 6, 7, 8, 16, 7, 8, 9, 16};
  290. const uint8x16_t _idx2 = {8, 9, 10, 16, 9, 10, 11, 16,
  291. 10, 11, 12, 16, 11, 12, 13, 16};
  292. uint8x16_t _idx_r_0;
  293. if (even) {
  294. _idx_r_0 = {0, 16, 1, 16, 2, 16, 3, 16, 4, 16, 5, 16, 6, 16, 7, 16};
  295. } else {
  296. _idx_r_0 = {16, 0, 16, 1, 16, 2, 16, 3, 16, 4, 16, 5, 16, 6, 16, 7};
  297. }
  298. rep(ic, IC) {
  299. const int8_t* src_ptr = src;
  300. int32_t* dst_ptr = dst + OW * OH * ic;
  301. int32_t* outptr = dst_ptr;
  302. int32_t* outptr2 = outptr + OW;
  303. const int8_t* r0 = src_ptr;
  304. const int8_t* r1 = src_ptr + IW;
  305. const int8_t* r2 = src_ptr + IW * 2;
  306. const int8_t* r3 = src_ptr + IW * 3;
  307. const int8_t* k0 = filter;
  308. int8x16_t _k_tmp = vcombine_s8(vld1_s8(k0), vdup_n_s8(k0[8]));
  309. uint8x16_t _idx = {8, 7, 6, 16, 8, 7, 6, 16, 8, 7, 6, 16, 8, 7, 6, 16};
  310. int8x16_t _k12 = vqtbl1q_s8_common(_k_tmp, _idx);
  311. _idx = {5, 4, 3, 16, 5, 4, 3, 16, 5, 4, 3, 16, 5, 4, 3, 16};
  312. int8x16_t _k345 = vqtbl1q_s8_common(_k_tmp, _idx);
  313. _idx = {2, 1, 0, 16, 2, 1, 0, 16, 2, 1, 0, 16, 2, 1, 0, 16};
  314. int8x16_t _k678 = vqtbl1q_s8_common(_k_tmp, _idx);
  315. int8x16_t _tmp, _elem;
  316. size_t h = 0;
  317. for (; h + 1 < OH; h += 2) {
  318. int width = OW >> 2;
  319. int w = 0;
  320. for (; w + 3 < width; w += 3) {
  321. //! As the inner kernel read 16 elements, and IW is times of 16
  322. int32x4_t _sum00 = vld1q_s32(outptr);
  323. int32x4_t _sum01 = vld1q_s32(outptr + 4);
  324. int32x4_t _sum02 = vld1q_s32(outptr + 8);
  325. int32x4_t _sum10 = vld1q_s32(outptr2);
  326. int32x4_t _sum11 = vld1q_s32(outptr2 + 4);
  327. int32x4_t _sum12 = vld1q_s32(outptr2 + 8);
  328. int8x16_t _r_ori = vld1q_s8(r0);
  329. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  330. CALC_0(12, 0);
  331. CALC_0(12, 1);
  332. CALC_0(12, 2);
  333. _r_ori = vld1q_s8(r1);
  334. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  335. CALC_2(345, 12, 0);
  336. CALC_2(345, 12, 1);
  337. CALC_2(345, 12, 2);
  338. _r_ori = vld1q_s8(r2);
  339. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  340. CALC_2(678, 345, 0);
  341. CALC_2(678, 345, 1);
  342. CALC_2(678, 345, 2);
  343. _r_ori = vld1q_s8(r3);
  344. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  345. CALC_1(678, 0);
  346. CALC_1(678, 1);
  347. CALC_1(678, 2);
  348. vst1q_s32(outptr, _sum00);
  349. vst1q_s32(outptr + 4, _sum01);
  350. vst1q_s32(outptr + 8, _sum02);
  351. vst1q_s32(outptr2, _sum10);
  352. vst1q_s32(outptr2 + 4, _sum11);
  353. vst1q_s32(outptr2 + 8, _sum12);
  354. r0 += 6;
  355. r1 += 6;
  356. r2 += 6;
  357. r3 += 6;
  358. outptr += 12;
  359. outptr2 += 12;
  360. }
  361. for (; w < width; w++) {
  362. int32x4_t _sum00 = vld1q_s32(outptr);
  363. int32x4_t _sum10 = vld1q_s32(outptr2);
  364. int8x16_t _r_ori = vtranslq_s8(vld1_s8(r0));
  365. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  366. CALC_0(12, 0);
  367. _r_ori = vtranslq_s8(vld1_s8(r1));
  368. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  369. CALC_2(345, 12, 0);
  370. _r_ori = vtranslq_s8(vld1_s8(r2));
  371. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  372. CALC_2(678, 345, 0);
  373. _r_ori = vtranslq_s8(vld1_s8(r3));
  374. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  375. CALC_1(678, 0);
  376. vst1q_s32(outptr, _sum00);
  377. vst1q_s32(outptr2, _sum10);
  378. r0 += 2;
  379. r1 += 2;
  380. r2 += 2;
  381. r3 += 2;
  382. outptr += 4;
  383. outptr2 += 4;
  384. }
  385. r0 += tail_step + IW;
  386. r1 += tail_step + IW;
  387. r2 += tail_step + IW;
  388. r3 += tail_step + IW;
  389. outptr += OW;
  390. outptr2 += OW;
  391. }
  392. for (; h < OH; h++) {
  393. int width = OW >> 2;
  394. int w = 0;
  395. for (; w + 3 < width; w += 3) {
  396. int32x4_t _sum00 = vld1q_s32(outptr);
  397. int32x4_t _sum01 = vld1q_s32(outptr + 4);
  398. int32x4_t _sum02 = vld1q_s32(outptr + 8);
  399. int8x16_t _r_ori = vld1q_s8(r0);
  400. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  401. CALC_0(12, 0);
  402. CALC_0(12, 1);
  403. CALC_0(12, 2);
  404. _r_ori = vld1q_s8(r1);
  405. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  406. CALC_0(345, 0);
  407. CALC_0(345, 1);
  408. CALC_0(345, 2);
  409. _r_ori = vld1q_s8(r2);
  410. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  411. CALC_0(678, 0);
  412. CALC_0(678, 1);
  413. CALC_0(678, 2);
  414. vst1q_s32(outptr, _sum00);
  415. vst1q_s32(outptr + 4, _sum01);
  416. vst1q_s32(outptr + 8, _sum02);
  417. r0 += 6;
  418. r1 += 6;
  419. r2 += 6;
  420. outptr += 12;
  421. }
  422. for (; w < width; w++) {
  423. int32x4_t _sum00 = vld1q_s32(outptr);
  424. int8x16_t _r_ori = vtranslq_s8(vld1_s8(r0));
  425. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  426. CALC_0(12, 0);
  427. _r_ori = vtranslq_s8(vld1_s8(r1));
  428. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  429. CALC_0(345, 0);
  430. _r_ori = vtranslq_s8(vld1_s8(r2));
  431. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  432. CALC_0(678, 0);
  433. vst1q_s32(outptr, _sum00);
  434. r0 += 2;
  435. r1 += 2;
  436. r2 += 2;
  437. outptr += 4;
  438. }
  439. r0 += tail_step;
  440. r1 += tail_step;
  441. r2 += tail_step;
  442. }
  443. filter += 9;
  444. }
  445. }
  446. #undef CALC_0
  447. #undef CALC_1
  448. #undef CALC_2
  449. #define CALC_0(_k00_idx, _k01_idx, _c_idx) \
  450. _elem = vqtbl1q_s8_common(_tmp, _idx##_c_idx##0); \
  451. _sum0##_c_idx = vdotq_s32(_sum0##_c_idx, _k##_k00_idx, _elem); \
  452. _elem = vqtbl1q_s8_common(_tmp, _idx##_c_idx##1); \
  453. _sum0##_c_idx = vdotq_s32(_sum0##_c_idx, _k##_k01_idx, _elem);
  454. #define CALC_1(_k00_idx, _k01_idx, _c_idx) \
  455. _elem = vqtbl1q_s8_common(_tmp, _idx##_c_idx##0); \
  456. _sum1##_c_idx = vdotq_s32(_sum1##_c_idx, _k##_k00_idx, _elem); \
  457. _elem = vqtbl1q_s8_common(_tmp, _idx##_c_idx##1); \
  458. _sum1##_c_idx = vdotq_s32(_sum1##_c_idx, _k##_k01_idx, _elem);
  459. #define CALC_2(_k00_idx, _k01_idx, _k10_idx, _k11_idx, _c_idx) \
  460. _elem = vqtbl1q_s8_common(_tmp, _idx##_c_idx##0); \
  461. _sum0##_c_idx = vdotq_s32(_sum0##_c_idx, _k##_k00_idx, _elem); \
  462. _sum1##_c_idx = vdotq_s32(_sum1##_c_idx, _k##_k10_idx, _elem); \
  463. _elem = vqtbl1q_s8_common(_tmp, _idx##_c_idx##1); \
  464. _sum0##_c_idx = vdotq_s32(_sum0##_c_idx, _k##_k01_idx, _elem); \
  465. _sum1##_c_idx = vdotq_s32(_sum1##_c_idx, _k##_k11_idx, _elem);
  466. template <bool even>
  467. void deconv_direct_5x5(const int8_t* src, const int8_t* filter, int32_t* dst,
  468. size_t IH, size_t IW, size_t OH, size_t OW, size_t IC) {
  469. MEGDNN_MARK_USED_VAR(IH);
  470. const size_t tail_step = IW - OW / 2;
  471. const uint8x16_t _idx00 = {0, 1, 2, 3, 1, 2, 3, 4, 2, 3, 4, 5, 3, 4, 5, 6};
  472. const uint8x16_t _idx01 = {4, 16, 16, 16, 5, 16, 16, 16,
  473. 6, 16, 16, 16, 7, 16, 16, 16};
  474. const uint8x16_t _idx10 = {4, 5, 6, 7, 5, 6, 7, 8, 6, 7, 8, 9, 7, 8, 9, 10};
  475. const uint8x16_t _idx11 = {8, 16, 16, 16, 9, 16, 16, 16,
  476. 10, 16, 16, 16, 11, 16, 16, 16};
  477. const uint8x16_t _idx20 = {8, 9, 10, 11, 9, 10, 11, 12,
  478. 10, 11, 12, 13, 11, 12, 13, 14};
  479. const uint8x16_t _idx21 = {12, 16, 16, 16, 13, 16, 16, 16,
  480. 14, 16, 16, 16, 15, 16, 16, 16};
  481. uint8x16_t _idx_r_0;
  482. if (even) {
  483. _idx_r_0 = {0, 16, 1, 16, 2, 16, 3, 16, 4, 16, 5, 16, 6, 16, 7, 16};
  484. } else {
  485. _idx_r_0 = {16, 0, 16, 1, 16, 2, 16, 3, 16, 4, 16, 5, 16, 6, 16, 7};
  486. }
  487. int8x16_t _tmp, _elem;
  488. rep(ic, IC) {
  489. const int8_t* src_ptr = src;
  490. int32_t* dst_ptr = dst + OW * OH * ic;
  491. int32_t* outptr = dst_ptr;
  492. int32_t* outptr2 = outptr + OW;
  493. const int8_t* r0 = src_ptr;
  494. const int8_t* r1 = src_ptr + IW;
  495. const int8_t* r2 = src_ptr + IW * 2;
  496. const int8_t* r3 = src_ptr + IW * 3;
  497. const int8_t* r4 = src_ptr + IW * 4;
  498. const int8_t* r5 = src_ptr + IW * 5;
  499. const int8_t* k0 = filter;
  500. int8x16_t _k = vld1q_s8(k0 + 9);
  501. //! filter row 1
  502. uint8x16_t _idx = {15, 14, 13, 12, 15, 14, 13, 12,
  503. 15, 14, 13, 12, 15, 14, 13, 12};
  504. int8x16_t _k123 = vqtbl1q_s8_common(_k, _idx);
  505. _idx = {11, 16, 16, 16, 11, 16, 16, 16, 11, 16, 16, 16, 11, 16, 16, 16};
  506. int8x16_t _k4 = vqtbl1q_s8_common(_k, _idx);
  507. //! filter row 2
  508. _idx = {10, 9, 8, 7, 10, 9, 8, 7, 10, 9, 8, 7, 10, 9, 8, 7};
  509. int8x16_t _k5678 = vqtbl1q_s8_common(_k, _idx);
  510. _idx = {6, 16, 16, 16, 6, 16, 16, 16, 6, 16, 16, 16, 6, 16, 16, 16};
  511. int8x16_t _k9 = vqtbl1q_s8_common(_k, _idx);
  512. //! filter row 3
  513. _idx = {5, 4, 3, 2, 5, 4, 3, 2, 5, 4, 3, 2, 5, 4, 3, 2};
  514. int8x16_t _k10111213 = vqtbl1q_s8_common(_k, _idx);
  515. _idx = {1, 16, 16, 16, 1, 16, 16, 16, 1, 16, 16, 16, 1, 16, 16, 16};
  516. int8x16_t _k14 = vqtbl1q_s8_common(_k, _idx);
  517. //! 9 10 11 12 -> 13 14 15 16 -> 17 18 19 20 -> 21 22 23 24
  518. _k = vld1q_s8(k0);
  519. //! filter row 4
  520. _idx = {9, 8, 7, 6, 9, 8, 7, 6, 9, 8, 7, 6, 9, 8, 7, 6};
  521. int8x16_t _k15161718 = vqtbl1q_s8_common(_k, _idx);
  522. _idx = {5, 16, 16, 16, 5, 16, 16, 16, 5, 16, 16, 16, 5, 16, 16, 16};
  523. int8x16_t _k19 = vqtbl1q_s8_common(_k, _idx);
  524. //! filter row 5
  525. _idx = {4, 3, 2, 1, 4, 3, 2, 1, 4, 3, 2, 1, 4, 3, 2, 1};
  526. int8x16_t _k20212223 = vqtbl1q_s8_common(_k, _idx);
  527. _idx = {0, 16, 16, 16, 0, 16, 16, 16, 0, 16, 16, 16, 0, 16, 16, 16};
  528. int8x16_t _k24 = vqtbl1q_s8_common(_k, _idx);
  529. const int width = OW >> 2;
  530. size_t h = 0;
  531. for (; h + 1 < OH; h += 2) {
  532. int w = 0;
  533. for (; w + 3 < width; w += 3) {
  534. //! As the inner kernel read 16 elements, and IW is times of 16
  535. int32x4_t _sum00 = vld1q_s32(outptr);
  536. int32x4_t _sum01 = vld1q_s32(outptr + 4);
  537. int32x4_t _sum02 = vld1q_s32(outptr + 8);
  538. int32x4_t _sum10 = vld1q_s32(outptr2);
  539. int32x4_t _sum11 = vld1q_s32(outptr2 + 4);
  540. int32x4_t _sum12 = vld1q_s32(outptr2 + 8);
  541. int8x16_t _r_ori = vld1q_s8(r0);
  542. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  543. CALC_0(123, 4, 0);
  544. CALC_0(123, 4, 1);
  545. CALC_0(123, 4, 2);
  546. _r_ori = vld1q_s8(r1);
  547. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  548. CALC_2(5678, 9, 123, 4, 0);
  549. CALC_2(5678, 9, 123, 4, 1);
  550. CALC_2(5678, 9, 123, 4, 2);
  551. _r_ori = vld1q_s8(r2);
  552. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  553. CALC_2(10111213, 14, 5678, 9, 0);
  554. CALC_2(10111213, 14, 5678, 9, 1);
  555. CALC_2(10111213, 14, 5678, 9, 2);
  556. _r_ori = vld1q_s8(r3);
  557. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  558. CALC_2(15161718, 19, 10111213, 14, 0);
  559. CALC_2(15161718, 19, 10111213, 14, 1);
  560. CALC_2(15161718, 19, 10111213, 14, 2);
  561. _r_ori = vld1q_s8(r4);
  562. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  563. CALC_2(20212223, 24, 15161718, 19, 0);
  564. CALC_2(20212223, 24, 15161718, 19, 1);
  565. CALC_2(20212223, 24, 15161718, 19, 2);
  566. _r_ori = vld1q_s8(r5);
  567. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  568. CALC_1(20212223, 24, 0);
  569. CALC_1(20212223, 24, 1);
  570. CALC_1(20212223, 24, 2);
  571. vst1q_s32(outptr, _sum00);
  572. vst1q_s32(outptr + 4, _sum01);
  573. vst1q_s32(outptr + 8, _sum02);
  574. vst1q_s32(outptr2, _sum10);
  575. vst1q_s32(outptr2 + 4, _sum11);
  576. vst1q_s32(outptr2 + 8, _sum12);
  577. r0 += 6;
  578. r1 += 6;
  579. r2 += 6;
  580. r3 += 6;
  581. r4 += 6;
  582. r5 += 6;
  583. outptr += 12;
  584. outptr2 += 12;
  585. }
  586. for (; w < width; w++) {
  587. int32x4_t _sum00 = vld1q_s32(outptr);
  588. int32x4_t _sum10 = vld1q_s32(outptr2);
  589. int8x16_t _r_ori = vtranslq_s8(vld1_s8(r0));
  590. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  591. CALC_0(123, 4, 0);
  592. _r_ori = vtranslq_s8(vld1_s8(r1));
  593. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  594. CALC_2(5678, 9, 123, 4, 0);
  595. _r_ori = vtranslq_s8(vld1_s8(r2));
  596. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  597. CALC_2(10111213, 14, 5678, 9, 0);
  598. _r_ori = vtranslq_s8(vld1_s8(r3));
  599. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  600. CALC_2(15161718, 19, 10111213, 14, 0);
  601. _r_ori = vtranslq_s8(vld1_s8(r4));
  602. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  603. CALC_2(20212223, 24, 15161718, 19, 0);
  604. _r_ori = vtranslq_s8(vld1_s8(r5));
  605. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  606. CALC_1(20212223, 24, 0);
  607. vst1q_s32(outptr, _sum00);
  608. vst1q_s32(outptr2, _sum10);
  609. r0 += 2;
  610. r1 += 2;
  611. r2 += 2;
  612. r3 += 2;
  613. r4 += 2;
  614. r5 += 2;
  615. outptr += 4;
  616. outptr2 += 4;
  617. }
  618. r0 += tail_step + IW;
  619. r1 += tail_step + IW;
  620. r2 += tail_step + IW;
  621. r3 += tail_step + IW;
  622. r4 += tail_step + IW;
  623. r5 += tail_step + IW;
  624. outptr += OW;
  625. outptr2 += OW;
  626. }
  627. for (; h < OH; h++) {
  628. int w = 0;
  629. for (; w + 3 < width; w += 3) {
  630. int32x4_t _sum00 = vld1q_s32(outptr);
  631. int32x4_t _sum01 = vld1q_s32(outptr + 4);
  632. int32x4_t _sum02 = vld1q_s32(outptr + 8);
  633. int8x16_t _r_ori = vld1q_s8(r0);
  634. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  635. CALC_0(123, 4, 0);
  636. CALC_0(123, 4, 1);
  637. CALC_0(123, 4, 2);
  638. _r_ori = vld1q_s8(r1);
  639. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  640. CALC_0(5678, 9, 0);
  641. CALC_0(5678, 9, 1);
  642. CALC_0(5678, 9, 2);
  643. _r_ori = vld1q_s8(r2);
  644. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  645. CALC_0(10111213, 14, 0);
  646. CALC_0(10111213, 14, 1);
  647. CALC_0(10111213, 14, 2);
  648. _r_ori = vld1q_s8(r3);
  649. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  650. CALC_0(15161718, 19, 0);
  651. CALC_0(15161718, 19, 1);
  652. CALC_0(15161718, 19, 2);
  653. _r_ori = vld1q_s8(r4);
  654. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  655. CALC_0(20212223, 24, 0);
  656. CALC_0(20212223, 24, 1);
  657. CALC_0(20212223, 24, 2);
  658. vst1q_s32(outptr, _sum00);
  659. vst1q_s32(outptr + 4, _sum01);
  660. vst1q_s32(outptr + 8, _sum02);
  661. r0 += 6;
  662. r1 += 6;
  663. r2 += 6;
  664. r3 += 6;
  665. r4 += 6;
  666. outptr += 12;
  667. }
  668. for (; w < width; w++) {
  669. int32x4_t _sum00 = vld1q_s32(outptr);
  670. int8x16_t _r_ori = vtranslq_s8(vld1_s8(r0));
  671. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  672. CALC_0(123, 4, 0);
  673. _r_ori = vtranslq_s8(vld1_s8(r1));
  674. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  675. CALC_0(5678, 9, 0);
  676. _r_ori = vtranslq_s8(vld1_s8(r2));
  677. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  678. CALC_0(10111213, 14, 0);
  679. _r_ori = vtranslq_s8(vld1_s8(r3));
  680. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  681. CALC_0(15161718, 19, 0);
  682. _r_ori = vtranslq_s8(vld1_s8(r4));
  683. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  684. CALC_0(20212223, 24, 0);
  685. vst1q_s32(outptr, _sum00);
  686. r0 += 2;
  687. r1 += 2;
  688. r2 += 2;
  689. r3 += 2;
  690. r4 += 2;
  691. outptr += 4;
  692. }
  693. r0 += tail_step;
  694. r1 += tail_step;
  695. r2 += tail_step;
  696. r3 += tail_step;
  697. r4 += tail_step;
  698. }
  699. filter += 25;
  700. }
  701. }
  702. template <bool even>
  703. void deconv_direct_7x7(const int8_t* src, const int8_t* filter, int32_t* dst,
  704. size_t IH, size_t IW, size_t OH, size_t OW, size_t IC) {
  705. MEGDNN_MARK_USED_VAR(IH);
  706. const size_t tail_step = IW - OW / 2;
  707. const uint8x16_t _idx00 = {0, 1, 2, 3, 1, 2, 3, 4, 2, 3, 4, 5, 3, 4, 5, 6};
  708. const uint8x16_t _idx01 = {4, 5, 6, 16, 5, 6, 7, 16,
  709. 6, 7, 8, 16, 7, 8, 9, 16};
  710. const uint8x16_t _idx10 = {4, 5, 6, 7, 5, 6, 7, 8, 6, 7, 8, 9, 7, 8, 9, 10};
  711. const uint8x16_t _idx11 = {8, 9, 10, 16, 9, 10, 11, 16,
  712. 10, 11, 12, 16, 11, 12, 13, 16};
  713. uint8x16_t _idx_r_0;
  714. if (even) {
  715. _idx_r_0 = {0, 16, 1, 16, 2, 16, 3, 16, 4, 16, 5, 16, 6, 16, 7, 16};
  716. } else {
  717. _idx_r_0 = {16, 0, 16, 1, 16, 2, 16, 3, 16, 4, 16, 5, 16, 6, 16, 7};
  718. }
  719. int8x16_t _tmp, _elem;
  720. rep(ic, IC) {
  721. const int8_t* src_ptr = src;
  722. int32_t* dst_ptr = dst + OW * OH * ic;
  723. int32_t* outptr = dst_ptr;
  724. int32_t* outptr2 = outptr + OW;
  725. const int8_t* r0 = src_ptr;
  726. const int8_t* r1 = src_ptr + IW;
  727. const int8_t* r2 = src_ptr + IW * 2;
  728. const int8_t* r3 = src_ptr + IW * 3;
  729. const int8_t* r4 = src_ptr + IW * 4;
  730. const int8_t* r5 = src_ptr + IW * 5;
  731. const int8_t* r6 = src_ptr + IW * 6;
  732. const int8_t* r7 = src_ptr + IW * 7;
  733. const int8_t* k0 = filter;
  734. int8x16_t _k = vld1q_s8(k0 + 33);
  735. //! filter row 1
  736. uint8x16_t _idx = {15, 14, 13, 12, 15, 14, 13, 12,
  737. 15, 14, 13, 12, 15, 14, 13, 12};
  738. int8x16_t _k123 = vqtbl1q_s8_common(_k, _idx);
  739. _idx = {11, 10, 9, 16, 11, 10, 9, 16, 11, 10, 9, 16, 11, 10, 9, 16};
  740. int8x16_t _k456 = vqtbl1q_s8_common(_k, _idx);
  741. //! filter row 2
  742. _idx = {8, 7, 6, 5, 8, 7, 6, 5, 8, 7, 6, 5, 8, 7, 6, 5};
  743. int8x16_t _k78910 = vqtbl1q_s8_common(_k, _idx);
  744. _idx = {4, 3, 2, 16, 4, 3, 2, 16, 4, 3, 2, 16, 4, 3, 2, 16};
  745. int8x16_t _k111213 = vqtbl1q_s8_common(_k, _idx);
  746. //! 12 13 14 15 -> 16 17 18 19 -> 20 21 22 23 -> 24 25 26 27
  747. _k = vld1q_s8(k0 + 19);
  748. //! filter row 3
  749. _idx = {15, 14, 13, 12, 15, 14, 13, 12, 15, 14, 13, 12, 15, 14, 13, 12};
  750. int8x16_t _k14151617 = vqtbl1q_s8_common(_k, _idx);
  751. _idx = {11, 10, 9, 16, 11, 10, 9, 16, 11, 10, 9, 16, 11, 10, 9, 16};
  752. int8x16_t _k181920 = vqtbl1q_s8_common(_k, _idx);
  753. //! filter row 4
  754. _idx = {8, 7, 6, 5, 8, 7, 6, 5, 8, 7, 6, 5, 8, 7, 6, 5};
  755. int8x16_t _k21222324 = vqtbl1q_s8_common(_k, _idx);
  756. _idx = {4, 3, 2, 16, 4, 3, 2, 16, 4, 3, 2, 16, 4, 3, 2, 16};
  757. int8x16_t _k252627 = vqtbl1q_s8_common(_k, _idx);
  758. //! 24 25 26 27->28 29 30 31 -> 32 33 34 35 -> 36 37 38 39
  759. _k = vld1q_s8(k0 + 5);
  760. //! filter row 5
  761. _idx = {15, 14, 13, 12, 15, 14, 13, 12, 15, 14, 13, 12, 15, 14, 13, 12};
  762. int8x16_t _k28293031 = vqtbl1q_s8_common(_k, _idx);
  763. _idx = {11, 10, 9, 16, 11, 10, 9, 16, 11, 10, 9, 16, 11, 10, 9, 16};
  764. int8x16_t _k323334 = vqtbl1q_s8_common(_k, _idx);
  765. //! 33 34 35 36 -> 37 38 39 40 -> 41 42 43 44 -> 45 46 47 48
  766. _k = vld1q_s8(k0);
  767. //! filter row 6
  768. _idx = {13, 12, 11, 10, 13, 12, 11, 10, 13, 12, 11, 10, 13, 12, 11, 10};
  769. int8x16_t _k35363738 = vqtbl1q_s8_common(_k, _idx);
  770. _idx = {9, 8, 7, 16, 9, 8, 7, 16, 9, 8, 7, 16, 9, 8, 7, 16};
  771. int8x16_t _k394041 = vqtbl1q_s8_common(_k, _idx);
  772. //! filter row 7
  773. _idx = {6, 5, 4, 3, 6, 5, 4, 3, 6, 5, 4, 3, 6, 5, 4, 3};
  774. int8x16_t _k42434445 = vqtbl1q_s8_common(_k, _idx);
  775. _idx = {2, 1, 0, 16, 2, 1, 0, 16, 2, 1, 0, 16, 2, 1, 0, 16};
  776. int8x16_t _k464748 = vqtbl1q_s8_common(_k, _idx);
  777. const int width = OW >> 2;
  778. size_t h = 0;
  779. for (; h + 1 < OH; h += 2) {
  780. int w = 0;
  781. for (; w + 2 < width; w += 2) {
  782. //! As the inner kernel read 16 elements, and IW is times of 16
  783. int32x4_t _sum00 = vld1q_s32(outptr);
  784. int32x4_t _sum01 = vld1q_s32(outptr + 4);
  785. int32x4_t _sum10 = vld1q_s32(outptr2);
  786. int32x4_t _sum11 = vld1q_s32(outptr2 + 4);
  787. int8x16_t _r_ori = vld1q_s8(r0);
  788. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  789. CALC_0(123, 456, 0);
  790. CALC_0(123, 456, 1);
  791. _r_ori = vld1q_s8(r1);
  792. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  793. CALC_2(78910, 111213, 123, 456, 0);
  794. CALC_2(78910, 111213, 123, 456, 1);
  795. _r_ori = vld1q_s8(r2);
  796. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  797. CALC_2(14151617, 181920, 78910, 111213, 0);
  798. CALC_2(14151617, 181920, 78910, 111213, 1);
  799. _r_ori = vld1q_s8(r3);
  800. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  801. CALC_2(21222324, 252627, 14151617, 181920, 0);
  802. CALC_2(21222324, 252627, 14151617, 181920, 1);
  803. _r_ori = vld1q_s8(r4);
  804. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  805. CALC_2(28293031, 323334, 21222324, 252627, 0);
  806. CALC_2(28293031, 323334, 21222324, 252627, 1);
  807. _r_ori = vld1q_s8(r5);
  808. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  809. CALC_2(35363738, 394041, 28293031, 323334, 0);
  810. CALC_2(35363738, 394041, 28293031, 323334, 1);
  811. _r_ori = vld1q_s8(r6);
  812. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  813. CALC_2(42434445, 464748, 35363738, 394041, 0);
  814. CALC_2(42434445, 464748, 35363738, 394041, 1);
  815. _r_ori = vld1q_s8(r7);
  816. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  817. CALC_1(42434445, 464748, 0);
  818. CALC_1(42434445, 464748, 1);
  819. vst1q_s32(outptr, _sum00);
  820. vst1q_s32(outptr + 4, _sum01);
  821. vst1q_s32(outptr2, _sum10);
  822. vst1q_s32(outptr2 + 4, _sum11);
  823. r0 += 4;
  824. r1 += 4;
  825. r2 += 4;
  826. r3 += 4;
  827. r4 += 4;
  828. r5 += 4;
  829. r6 += 4;
  830. r7 += 4;
  831. outptr += 8;
  832. outptr2 += 8;
  833. }
  834. for (; w < width; w++) {
  835. int32x4_t _sum00 = vld1q_s32(outptr);
  836. int32x4_t _sum10 = vld1q_s32(outptr2);
  837. int8x16_t _r_ori = vld1q_s8(r0);
  838. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  839. CALC_0(123, 456, 0);
  840. _r_ori = vld1q_s8(r1);
  841. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  842. CALC_2(78910, 111213, 123, 456, 0);
  843. _r_ori = vld1q_s8(r2);
  844. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  845. CALC_2(14151617, 181920, 78910, 111213, 0);
  846. _r_ori = vld1q_s8(r3);
  847. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  848. CALC_2(21222324, 252627, 14151617, 181920, 0);
  849. _r_ori = vld1q_s8(r4);
  850. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  851. CALC_2(28293031, 323334, 21222324, 252627, 0);
  852. _r_ori = vld1q_s8(r5);
  853. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  854. CALC_2(35363738, 394041, 28293031, 323334, 0);
  855. _r_ori = vld1q_s8(r6);
  856. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  857. CALC_2(42434445, 464748, 35363738, 394041, 0);
  858. _r_ori = vld1q_s8(r7);
  859. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  860. CALC_1(42434445, 464748, 0);
  861. vst1q_s32(outptr, _sum00);
  862. vst1q_s32(outptr2, _sum10);
  863. r0 += 2;
  864. r1 += 2;
  865. r2 += 2;
  866. r3 += 2;
  867. r4 += 2;
  868. r5 += 2;
  869. r6 += 2;
  870. r7 += 2;
  871. outptr += 4;
  872. outptr2 += 4;
  873. }
  874. r0 += tail_step + IW;
  875. r1 += tail_step + IW;
  876. r2 += tail_step + IW;
  877. r3 += tail_step + IW;
  878. r4 += tail_step + IW;
  879. r5 += tail_step + IW;
  880. r6 += tail_step + IW;
  881. r7 += tail_step + IW;
  882. outptr += OW;
  883. outptr2 += OW;
  884. }
  885. for (; h < OH; h++) {
  886. int w = 0;
  887. for (; w + 2 < width; w += 2) {
  888. int32x4_t _sum00 = vld1q_s32(outptr);
  889. int32x4_t _sum01 = vld1q_s32(outptr + 4);
  890. int8x16_t _r_ori = vld1q_s8(r0);
  891. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  892. CALC_0(123, 456, 0);
  893. CALC_0(123, 456, 1);
  894. _r_ori = vld1q_s8(r1);
  895. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  896. CALC_0(78910, 111213, 0);
  897. CALC_0(78910, 111213, 1);
  898. _r_ori = vld1q_s8(r2);
  899. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  900. CALC_0(14151617, 181920, 0);
  901. CALC_0(14151617, 181920, 1);
  902. _r_ori = vld1q_s8(r3);
  903. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  904. CALC_0(21222324, 252627, 0);
  905. CALC_0(21222324, 252627, 1);
  906. _r_ori = vld1q_s8(r4);
  907. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  908. CALC_0(28293031, 323334, 0);
  909. CALC_0(28293031, 323334, 1);
  910. _r_ori = vld1q_s8(r5);
  911. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  912. CALC_0(35363738, 394041, 0);
  913. CALC_0(35363738, 394041, 1);
  914. _r_ori = vld1q_s8(r6);
  915. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  916. CALC_0(42434445, 464748, 0);
  917. CALC_0(42434445, 464748, 1);
  918. vst1q_s32(outptr, _sum00);
  919. vst1q_s32(outptr + 4, _sum01);
  920. r0 += 4;
  921. r1 += 4;
  922. r2 += 4;
  923. r3 += 4;
  924. r4 += 4;
  925. r5 += 4;
  926. r6 += 4;
  927. outptr += 8;
  928. }
  929. for (; w < width; w++) {
  930. int32x4_t _sum00 = vld1q_s32(outptr);
  931. int8x16_t _r_ori = vld1q_s8(r0);
  932. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  933. CALC_0(123, 456, 0);
  934. _r_ori = vld1q_s8(r1);
  935. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  936. CALC_0(78910, 111213, 0);
  937. _r_ori = vld1q_s8(r2);
  938. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  939. CALC_0(14151617, 181920, 0);
  940. _r_ori = vld1q_s8(r3);
  941. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  942. CALC_0(21222324, 252627, 0);
  943. _r_ori = vld1q_s8(r4);
  944. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  945. CALC_0(28293031, 323334, 0);
  946. _r_ori = vld1q_s8(r5);
  947. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  948. CALC_0(35363738, 394041, 0);
  949. _r_ori = vld1q_s8(r6);
  950. _tmp = vqtbl1q_s8_common(_r_ori, _idx_r_0);
  951. CALC_0(42434445, 464748, 0);
  952. vst1q_s32(outptr, _sum00);
  953. r0 += 2;
  954. r1 += 2;
  955. r2 += 2;
  956. r3 += 2;
  957. r4 += 2;
  958. r5 += 2;
  959. r6 += 2;
  960. outptr += 4;
  961. }
  962. r0 += tail_step;
  963. r1 += tail_step;
  964. r2 += tail_step;
  965. r3 += tail_step;
  966. r4 += tail_step;
  967. r5 += tail_step;
  968. r6 += tail_step;
  969. }
  970. filter += 49;
  971. }
  972. }
  973. #undef CALC_0
  974. #undef CALC_1
  975. #undef CALC_2
  976. } // anonymous namespace
  977. size_t deconv::get_workspace_in_bytes_stride2_int8x8x32_dot(
  978. const NCBKernSizeParam& param) {
  979. return get_bundle(param).total_size_in_bytes();
  980. }
  981. bool deconv::can_stride2_int8x8x32_dot(const NCBKernSizeParam& param) {
  982. auto&& fm = param.filter_meta;
  983. auto FH = fm.spatial[0], FW = fm.spatial[1], OC = fm.ocpg,
  984. PH = fm.padding[0], PW = fm.padding[1];
  985. bool avaiable = fm.format == param::Convolution::Format::NCHW &&
  986. !fm.should_flip && fm.spatial_ndim == 2 &&
  987. fm.dilation[0] == 1 && fm.dilation[1] == 1 &&
  988. fm.stride[0] == 2 && fm.stride[1] == 2 && FH == FW &&
  989. (FH == 2 || FH == 3 || FH == 5 || FH == 7) &&
  990. FH >= PH + 1 && FW >= PW + 1;
  991. avaiable &= (param.filter_type.enumv() == DTypeEnum::QuantizedS8 ||
  992. param.filter_type.enumv() == DTypeEnum::Int8) &&
  993. (param.grad_type.enumv() == DTypeEnum::QuantizedS32 ||
  994. param.grad_type.enumv() == DTypeEnum::Int32);
  995. return avaiable && ((FH == 2 && OC <= 4) || (FH == 3 && OC <= 8) ||
  996. (FH == 5 && OC <= 16) || (FH == 7 && OC < 32));
  997. }
  998. void deconv::stride2_int8x8x32_dot(const NCBKernParam& param) {
  999. auto bundle = get_bundle(param);
  1000. bundle.set(param.workspace_ptr);
  1001. UNPACK_CONV_F32_NCB_KERN_SIZES(param);
  1002. MEGDNN_MARK_USED_VAR(SH);
  1003. MEGDNN_MARK_USED_VAR(SW);
  1004. size_t IH2, IW2, OW2;
  1005. int padding_h = FH - PH - 1, padding_w = FW - PW - 1;
  1006. get_rectified_size(IH, IW, OH, OW, FH, FW, PH, PW, IH2, IW2, OW2);
  1007. using Func = std::function<void(const int8_t*, const int8_t*, int32_t*,
  1008. size_t, size_t, size_t, size_t, size_t)>;
  1009. Func conv = nullptr;
  1010. if (FH == 2) {
  1011. if ((padding_w & 1) == 0)
  1012. conv = deconv_direct_2x2<true>;
  1013. else
  1014. conv = deconv_direct_2x2<false>;
  1015. } else if (FH == 3) {
  1016. if ((padding_w & 1) == 0)
  1017. conv = deconv_direct_3x3<true>;
  1018. else
  1019. conv = deconv_direct_3x3<false>;
  1020. } else if (FH == 5) {
  1021. if ((padding_w & 1) == 0)
  1022. conv = deconv_direct_5x5<true>;
  1023. else
  1024. conv = deconv_direct_5x5<false>;
  1025. } else if (FH == 7) {
  1026. if ((padding_w & 1) == 0)
  1027. conv = deconv_direct_7x7<true>;
  1028. else
  1029. conv = deconv_direct_7x7<false>;
  1030. } else {
  1031. megdnn_assert(0);
  1032. }
  1033. bool need_dst_copy_var = need_dst_copy(param);
  1034. int8_t* base_src_ptr = const_cast<int8_t*>(param.diff<int8_t>());
  1035. int32_t* base_dst_ptr = param.grad<int32_t>();
  1036. const int8_t* fptr = param.filter<int8_t>();
  1037. for (size_t n = 0; n < N; ++n) {
  1038. int32_t* dptr_copied = static_cast<int32_t*>(bundle.get(1));
  1039. int32_t* dptr_ori = base_dst_ptr + n * param.out_bs;
  1040. int32_t* dptr = nullptr;
  1041. size_t OW_real = OW;
  1042. if (need_dst_copy_var) {
  1043. dptr = dptr_copied;
  1044. OW_real = OW2;
  1045. } else {
  1046. dptr = dptr_ori;
  1047. }
  1048. std::memset(dptr, 0, sizeof(int32_t) * IC * OH * OW_real);
  1049. int8_t* sptr_ori = base_src_ptr + n * param.inp_bs;
  1050. int8_t* sptr_copied = static_cast<int8_t*>(bundle.get(0));
  1051. int8_t* sptr = nullptr;
  1052. rep(oc, OC) {
  1053. std::memset(sptr_copied, 0, sizeof(int8_t) * IH2 * IW2);
  1054. copy_plane_in_bytes(sptr_copied + padding_h * IW2 + padding_w / 2,
  1055. sptr_ori + oc * IH * IW, IH,
  1056. IW * sizeof(int8_t), 2 * IW2 * sizeof(int8_t),
  1057. IW * sizeof(int8_t));
  1058. sptr = sptr_copied;
  1059. conv(sptr, fptr + oc * IC * FH * FW, dptr, IH2, IW2, OH, OW_real,
  1060. IC);
  1061. }
  1062. if (need_dst_copy_var) {
  1063. for (size_t ic = 0; ic < IC; ++ic) {
  1064. copy_plane_in_bytes(dptr_ori + ic * OH * OW,
  1065. dptr + ic * OH * OW2, OH,
  1066. OW * sizeof(int32_t), OW * sizeof(int32_t),
  1067. OW2 * sizeof(int32_t));
  1068. }
  1069. }
  1070. }
  1071. }
  1072. #endif
  1073. // vim: syntax=cpp.doxygen

MegEngine 安装包中集成了使用 GPU 运行代码所需的 CUDA 环境,不用区分 CPU 和 GPU 版。 如果想要运行 GPU 程序,请确保机器本身配有 GPU 硬件设备并安装好驱动。 如果你想体验在云端 GPU 算力平台进行深度学习开发的感觉,欢迎访问 MegStudio 平台