arm_mat_qr_f16.c 19 KB

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  1. /* ----------------------------------------------------------------------
  2. * Project: CMSIS DSP Library
  3. * Title: arm_mat_qr_f16.c
  4. * Description: Half floating-point matrix QR decomposition.
  5. *
  6. * $Date: 15 June 2022
  7. * $Revision: V1.11.0
  8. *
  9. * Target Processor: Cortex-M and Cortex-A cores
  10. * -------------------------------------------------------------------- */
  11. /*
  12. * Copyright (C) 2010-2022 ARM Limited or its affiliates. All rights reserved.
  13. *
  14. * SPDX-License-Identifier: Apache-2.0
  15. *
  16. * Licensed under the Apache License, Version 2.0 (the License); you may
  17. * not use this file except in compliance with the License.
  18. * You may obtain a copy of the License at
  19. *
  20. * www.apache.org/licenses/LICENSE-2.0
  21. *
  22. * Unless required by applicable law or agreed to in writing, software
  23. * distributed under the License is distributed on an AS IS BASIS, WITHOUT
  24. * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  25. * See the License for the specific language governing permissions and
  26. * limitations under the License.
  27. */
  28. #include "dsp/matrix_functions_f16.h"
  29. #include "dsp/matrix_utils.h"
  30. #if !defined(ARM_MATH_AUTOVECTORIZE)
  31. #if defined(ARM_MATH_MVE_FLOAT16)
  32. #include "arm_helium_utils.h"
  33. #endif
  34. #endif
  35. /**
  36. @ingroup groupMatrix
  37. */
  38. /**
  39. @addtogroup MatrixQR
  40. @{
  41. */
  42. /**
  43. @brief QR decomposition of a m x n half floating point matrix with m >= n.
  44. @param[in] pSrc points to input matrix structure. The source matrix is modified by the function.
  45. @param[in] threshold norm2 threshold.
  46. @param[out] pOutR points to output R matrix structure of dimension m x n
  47. @param[out] pOutQ points to output Q matrix structure of dimension m x m (can be NULL)
  48. @param[out] pOutTau points to Householder scaling factors of dimension n
  49. @param[inout] pTmpA points to a temporary vector of dimension m.
  50. @param[inout] pTmpB points to a temporary vector of dimension m.
  51. @return execution status
  52. - \ref ARM_MATH_SUCCESS : Operation successful
  53. - \ref ARM_MATH_SIZE_MISMATCH : Matrix size check failed
  54. @par pOutQ is optional:
  55. pOutQ can be a NULL pointer.
  56. In this case, the argument will be ignored
  57. and the output Q matrix won't be computed.
  58. @par f16 implementation
  59. The f16 implementation is not very accurate.
  60. @par Norm2 threshold
  61. For the meaning of this argument please
  62. refer to the \ref MatrixHouseholder documentation
  63. */
  64. #if !defined(ARM_MATH_AUTOVECTORIZE)
  65. #if defined(ARM_MATH_MVE_FLOAT16)
  66. arm_status arm_mat_qr_f16(
  67. const arm_matrix_instance_f16 * pSrc,
  68. const float16_t threshold,
  69. arm_matrix_instance_f16 * pOutR,
  70. arm_matrix_instance_f16 * pOutQ,
  71. float16_t * pOutTau,
  72. float16_t *pTmpA,
  73. float16_t *pTmpB
  74. )
  75. {
  76. int32_t col=0;
  77. int32_t nb,pos;
  78. float16_t *pa,*pc;
  79. float16_t beta;
  80. float16_t *pv;
  81. float16_t *pdst;
  82. float16_t *p;
  83. if (pSrc->numRows < pSrc->numCols)
  84. {
  85. return(ARM_MATH_SIZE_MISMATCH);
  86. }
  87. memcpy(pOutR->pData,pSrc->pData,pSrc->numCols * pSrc->numRows*sizeof(float16_t));
  88. pOutR->numCols = pSrc->numCols;
  89. pOutR->numRows = pSrc->numRows;
  90. p = pOutR->pData;
  91. pc = pOutTau;
  92. for(col=0 ; col < pSrc->numCols; col++)
  93. {
  94. int32_t j,k,blkCnt,blkCnt2;
  95. float16_t *pa0,*pa1,*pa2,*pa3,*ptemp;
  96. float16_t temp;
  97. float16x8_t v1,v2,vtemp;
  98. COPY_COL_F16(pOutR,col,col,pTmpA);
  99. beta = arm_householder_f16(pTmpA,threshold,pSrc->numRows - col,pTmpA);
  100. *pc++ = beta;
  101. pdst = pTmpB;
  102. /* v.T A(col:,col:) -> tmpb */
  103. pv = pTmpA;
  104. pa = p;
  105. temp = *pv;
  106. blkCnt = (pSrc->numCols-col) >> 3;
  107. while (blkCnt > 0)
  108. {
  109. v1 = vld1q_f16(pa);
  110. v2 = vmulq_n_f16(v1,temp);
  111. vst1q_f16(pdst,v2);
  112. pa += 8;
  113. pdst += 8;
  114. blkCnt--;
  115. }
  116. blkCnt = (pSrc->numCols-col) & 7;
  117. if (blkCnt > 0)
  118. {
  119. mve_pred16_t p0 = vctp16q(blkCnt);
  120. v1 = vld1q_f16(pa);
  121. v2 = vmulq_n_f16(v1,temp);
  122. vst1q_p_f16(pdst,v2,p0);
  123. pa += blkCnt;
  124. }
  125. pa += col;
  126. pv++;
  127. pdst = pTmpB;
  128. pa0 = pa;
  129. pa1 = pa0 + pSrc->numCols;
  130. pa2 = pa1 + pSrc->numCols;
  131. pa3 = pa2 + pSrc->numCols;
  132. /* Unrolled loop */
  133. blkCnt = (pSrc->numRows-col - 1) >> 2;
  134. k=1;
  135. while(blkCnt > 0)
  136. {
  137. vtemp=vld1q_f16(pv);
  138. blkCnt2 = (pSrc->numCols-col) >> 3;
  139. while (blkCnt2 > 0)
  140. {
  141. v1 = vld1q_f16(pdst);
  142. v2 = vld1q_f16(pa0);
  143. v1 = vfmaq_n_f16(v1,v2,vgetq_lane(vtemp,0));
  144. v2 = vld1q_f16(pa1);
  145. v1 = vfmaq_n_f16(v1,v2,vgetq_lane(vtemp,1));
  146. v2 = vld1q_f16(pa2);
  147. v1 = vfmaq_n_f16(v1,v2,vgetq_lane(vtemp,2));
  148. v2 = vld1q_f16(pa3);
  149. v1 = vfmaq_n_f16(v1,v2,vgetq_lane(vtemp,3));
  150. vst1q_f16(pdst,v1);
  151. pdst += 8;
  152. pa0 += 8;
  153. pa1 += 8;
  154. pa2 += 8;
  155. pa3 += 8;
  156. blkCnt2--;
  157. }
  158. blkCnt2 = (pSrc->numCols-col) & 7;
  159. if (blkCnt2 > 0)
  160. {
  161. mve_pred16_t p0 = vctp16q(blkCnt2);
  162. v1 = vld1q_f16(pdst);
  163. v2 = vld1q_f16(pa0);
  164. v1 = vfmaq_n_f16(v1,v2,vgetq_lane(vtemp,0));
  165. v2 = vld1q_f16(pa1);
  166. v1 = vfmaq_n_f16(v1,v2,vgetq_lane(vtemp,1));
  167. v2 = vld1q_f16(pa2);
  168. v1 = vfmaq_n_f16(v1,v2,vgetq_lane(vtemp,2));
  169. v2 = vld1q_f16(pa3);
  170. v1 = vfmaq_n_f16(v1,v2,vgetq_lane(vtemp,3));
  171. vst1q_p_f16(pdst,v1,p0);
  172. pa0 += blkCnt2;
  173. pa1 += blkCnt2;
  174. pa2 += blkCnt2;
  175. pa3 += blkCnt2;
  176. }
  177. pa0 += col + 3*pSrc->numCols;
  178. pa1 += col + 3*pSrc->numCols;
  179. pa2 += col + 3*pSrc->numCols;
  180. pa3 += col + 3*pSrc->numCols;
  181. pv += 4;
  182. pdst = pTmpB;
  183. k += 4;
  184. blkCnt--;
  185. }
  186. pa = pa0;
  187. for(;k<pSrc->numRows-col; k++)
  188. {
  189. temp = *pv;
  190. blkCnt2 = (pSrc->numCols-col) >> 3;
  191. while (blkCnt2 > 0)
  192. {
  193. v1 = vld1q_f16(pa);
  194. v2 = vld1q_f16(pdst);
  195. v2 = vfmaq_n_f16(v2,v1,temp);
  196. vst1q_f16(pdst,v2);
  197. pa += 8;
  198. pdst += 8;
  199. blkCnt2--;
  200. }
  201. blkCnt2 = (pSrc->numCols-col) & 7;
  202. if (blkCnt2 > 0)
  203. {
  204. mve_pred16_t p0 = vctp16q(blkCnt2);
  205. v1 = vld1q_f16(pa);
  206. v2 = vld1q_f16(pdst);
  207. v2 = vfmaq_n_f16(v2,v1,temp);
  208. vst1q_p_f16(pdst,v2,p0);
  209. pa += blkCnt2;
  210. }
  211. pa += col;
  212. pv++;
  213. pdst = pTmpB;
  214. }
  215. /* A(col:,col:) - beta v tmpb */
  216. pa = p;
  217. for(j=0;j<pSrc->numRows-col; j++)
  218. {
  219. float16_t f = -(_Float16)beta * (_Float16)pTmpA[j];
  220. ptemp = pTmpB;
  221. blkCnt2 = (pSrc->numCols-col) >> 3;
  222. while (blkCnt2 > 0)
  223. {
  224. v1 = vld1q_f16(pa);
  225. v2 = vld1q_f16(ptemp);
  226. v1 = vfmaq_n_f16(v1,v2,f);
  227. vst1q_f16(pa,v1);
  228. pa += 8;
  229. ptemp += 8;
  230. blkCnt2--;
  231. }
  232. blkCnt2 = (pSrc->numCols-col) & 7;
  233. if (blkCnt2 > 0)
  234. {
  235. mve_pred16_t p0 = vctp16q(blkCnt2);
  236. v1 = vld1q_f16(pa);
  237. v2 = vld1q_f16(ptemp);
  238. v1 = vfmaq_n_f16(v1,v2,f);
  239. vst1q_p_f16(pa,v1,p0);
  240. pa += blkCnt2;
  241. }
  242. pa += col;
  243. }
  244. /* Copy Householder reflectors into R matrix */
  245. pa = p + pOutR->numCols;
  246. for(k=0;k<pSrc->numRows-col-1; k++)
  247. {
  248. *pa = pTmpA[k+1];
  249. pa += pOutR->numCols;
  250. }
  251. p += 1 + pOutR->numCols;
  252. }
  253. /* Generate Q if requested by user matrix */
  254. if (pOutQ != NULL)
  255. {
  256. /* Initialize Q matrix to identity */
  257. memset(pOutQ->pData,0,sizeof(float16_t)*pOutQ->numRows*pOutQ->numRows);
  258. pa = pOutQ->pData;
  259. for(col=0 ; col < pOutQ->numCols; col++)
  260. {
  261. *pa = 1.0f16;
  262. pa += pOutQ->numCols+1;
  263. }
  264. nb = pOutQ->numRows - pOutQ->numCols + 1;
  265. pc = pOutTau + pOutQ->numCols - 1;
  266. for(col=0 ; col < pOutQ->numCols; col++)
  267. {
  268. int32_t j,k, blkCnt, blkCnt2;
  269. float16_t *pa0,*pa1,*pa2,*pa3,*ptemp;
  270. float16_t temp;
  271. float16x8_t v1,v2,vtemp;
  272. pos = pSrc->numRows - nb;
  273. p = pOutQ->pData + pos + pOutQ->numCols*pos ;
  274. COPY_COL_F16(pOutR,pos,pos,pTmpA);
  275. pTmpA[0] = 1.0f16;
  276. pdst = pTmpB;
  277. /* v.T A(col:,col:) -> tmpb */
  278. pv = pTmpA;
  279. pa = p;
  280. temp = *pv;
  281. blkCnt2 = (pOutQ->numRows-pos) >> 3;
  282. while (blkCnt2 > 0)
  283. {
  284. v1 = vld1q_f16(pa);
  285. v1 = vmulq_n_f16(v1, temp);
  286. vst1q_f16(pdst,v1);
  287. pa += 8;
  288. pdst += 8;
  289. blkCnt2--;
  290. }
  291. blkCnt2 = (pOutQ->numRows-pos) & 7;
  292. if (blkCnt2 > 0)
  293. {
  294. mve_pred16_t p0 = vctp16q(blkCnt2);
  295. v1 = vld1q_f16(pa);
  296. v1 = vmulq_n_f16(v1, temp);
  297. vst1q_p_f16(pdst,v1,p0);
  298. pa += blkCnt2;
  299. }
  300. pa += pos;
  301. pv++;
  302. pdst = pTmpB;
  303. pa0 = pa;
  304. pa1 = pa0 + pOutQ->numRows;
  305. pa2 = pa1 + pOutQ->numRows;
  306. pa3 = pa2 + pOutQ->numRows;
  307. /* Unrolled loop */
  308. blkCnt = (pOutQ->numRows-pos - 1) >> 2;
  309. k=1;
  310. while(blkCnt > 0)
  311. {
  312. vtemp = vld1q_f16(pv);
  313. blkCnt2 = (pOutQ->numRows-pos) >> 3;
  314. while (blkCnt2 > 0)
  315. {
  316. v1 = vld1q_f16(pdst);
  317. v2 = vld1q_f16(pa0);
  318. v1 = vfmaq_n_f16(v1, v2, vgetq_lane(vtemp,0));
  319. v2 = vld1q_f16(pa1);
  320. v1 = vfmaq_n_f16(v1, v2, vgetq_lane(vtemp,1));
  321. v2 = vld1q_f16(pa2);
  322. v1 = vfmaq_n_f16(v1, v2, vgetq_lane(vtemp,2));
  323. v2 = vld1q_f16(pa3);
  324. v1 = vfmaq_n_f16(v1, v2, vgetq_lane(vtemp,3));
  325. vst1q_f16(pdst,v1);
  326. pa0 += 8;
  327. pa1 += 8;
  328. pa2 += 8;
  329. pa3 += 8;
  330. pdst += 8;
  331. blkCnt2--;
  332. }
  333. blkCnt2 = (pOutQ->numRows-pos) & 7;
  334. if (blkCnt2 > 0)
  335. {
  336. mve_pred16_t p0 = vctp16q(blkCnt2);
  337. v1 = vld1q_f16(pdst);
  338. v2 = vld1q_f16(pa0);
  339. v1 = vfmaq_n_f16(v1, v2, vgetq_lane(vtemp,0));
  340. v2 = vld1q_f16(pa1);
  341. v1 = vfmaq_n_f16(v1, v2, vgetq_lane(vtemp,1));
  342. v2 = vld1q_f16(pa2);
  343. v1 = vfmaq_n_f16(v1, v2, vgetq_lane(vtemp,2));
  344. v2 = vld1q_f16(pa3);
  345. v1 = vfmaq_n_f16(v1, v2, vgetq_lane(vtemp,3));
  346. vst1q_p_f16(pdst,v1,p0);
  347. pa0 += blkCnt2;
  348. pa1 += blkCnt2;
  349. pa2 += blkCnt2;
  350. pa3 += blkCnt2;
  351. }
  352. pa0 += pos + 3*pOutQ->numRows;
  353. pa1 += pos + 3*pOutQ->numRows;
  354. pa2 += pos + 3*pOutQ->numRows;
  355. pa3 += pos + 3*pOutQ->numRows;
  356. pv += 4;
  357. pdst = pTmpB;
  358. k += 4;
  359. blkCnt--;
  360. }
  361. pa = pa0;
  362. for(;k<pOutQ->numRows-pos; k++)
  363. {
  364. temp = *pv;
  365. blkCnt2 = (pOutQ->numRows-pos) >> 3;
  366. while (blkCnt2 > 0)
  367. {
  368. v1 = vld1q_f16(pdst);
  369. v2 = vld1q_f16(pa);
  370. v1 = vfmaq_n_f16(v1, v2, temp);
  371. vst1q_f16(pdst,v1);
  372. pdst += 8;
  373. pa += 8;
  374. blkCnt2--;
  375. }
  376. blkCnt2 = (pOutQ->numRows-pos) & 7;
  377. if (blkCnt2 > 0)
  378. {
  379. mve_pred16_t p0 = vctp16q(blkCnt2);
  380. v1 = vld1q_f16(pdst);
  381. v2 = vld1q_f16(pa);
  382. v1 = vfmaq_n_f16(v1, v2, temp);
  383. vst1q_p_f16(pdst,v1,p0);
  384. pa += blkCnt2;
  385. }
  386. pa += pos;
  387. pv++;
  388. pdst = pTmpB;
  389. }
  390. pa = p;
  391. beta = *pc--;
  392. for(j=0;j<pOutQ->numRows-pos; j++)
  393. {
  394. float16_t f = -(_Float16)beta * (_Float16)pTmpA[j];
  395. ptemp = pTmpB;
  396. blkCnt2 = (pOutQ->numCols-pos) >> 3;
  397. while (blkCnt2 > 0)
  398. {
  399. v1 = vld1q_f16(pa);
  400. v2 = vld1q_f16(ptemp);
  401. v1 = vfmaq_n_f16(v1,v2,f);
  402. vst1q_f16(pa,v1);
  403. pa += 8;
  404. ptemp += 8;
  405. blkCnt2--;
  406. }
  407. blkCnt2 = (pOutQ->numCols-pos) & 7;
  408. if (blkCnt2 > 0)
  409. {
  410. mve_pred16_t p0 = vctp16q(blkCnt2);
  411. v1 = vld1q_f16(pa);
  412. v2 = vld1q_f16(ptemp);
  413. v1 = vfmaq_n_f16(v1,v2,f);
  414. vst1q_p_f16(pa,v1,p0);
  415. pa += blkCnt2;
  416. }
  417. pa += pos;
  418. }
  419. nb++;
  420. }
  421. }
  422. arm_status status = ARM_MATH_SUCCESS;
  423. /* Return to application */
  424. return (status);
  425. }
  426. #endif /*#if !defined(ARM_MATH_MVEF)*/
  427. #endif /*#if !defined(ARM_MATH_AUTOVECTORIZE)*/
  428. #if defined(ARM_FLOAT16_SUPPORTED)
  429. #if (!defined(ARM_MATH_MVE_FLOAT16)) || defined(ARM_MATH_AUTOVECTORIZE)
  430. arm_status arm_mat_qr_f16(
  431. const arm_matrix_instance_f16 * pSrc,
  432. const float16_t threshold,
  433. arm_matrix_instance_f16 * pOutR,
  434. arm_matrix_instance_f16 * pOutQ,
  435. float16_t * pOutTau,
  436. float16_t *pTmpA,
  437. float16_t *pTmpB
  438. )
  439. {
  440. int32_t col=0;
  441. int32_t nb,pos;
  442. float16_t *pa,*pc;
  443. float16_t beta;
  444. float16_t *pv;
  445. float16_t *pdst;
  446. float16_t *p;
  447. if (pSrc->numRows < pSrc->numCols)
  448. {
  449. return(ARM_MATH_SIZE_MISMATCH);
  450. }
  451. memcpy(pOutR->pData,pSrc->pData,pSrc->numCols * pSrc->numRows*sizeof(float16_t));
  452. pOutR->numCols = pSrc->numCols;
  453. pOutR->numRows = pSrc->numRows;
  454. p = pOutR->pData;
  455. pc = pOutTau;
  456. for(col=0 ; col < pSrc->numCols; col++)
  457. {
  458. int32_t i,j,k,blkCnt;
  459. float16_t *pa0,*pa1,*pa2,*pa3;
  460. COPY_COL_F16(pOutR,col,col,pTmpA);
  461. beta = arm_householder_f16(pTmpA,threshold,pSrc->numRows - col,pTmpA);
  462. *pc++ = beta;
  463. pdst = pTmpB;
  464. /* v.T A(col:,col:) -> tmpb */
  465. pv = pTmpA;
  466. pa = p;
  467. for(j=0;j<pSrc->numCols-col; j++)
  468. {
  469. *pdst++ = (_Float16)*pv * (_Float16)*pa++;
  470. }
  471. pa += col;
  472. pv++;
  473. pdst = pTmpB;
  474. pa0 = pa;
  475. pa1 = pa0 + pSrc->numCols;
  476. pa2 = pa1 + pSrc->numCols;
  477. pa3 = pa2 + pSrc->numCols;
  478. /* Unrolled loop */
  479. blkCnt = (pSrc->numRows-col - 1) >> 2;
  480. k=1;
  481. while(blkCnt > 0)
  482. {
  483. float16_t sum;
  484. for(j=0;j<pSrc->numCols-col; j++)
  485. {
  486. sum = *pdst;
  487. sum += (_Float16)pv[0] * (_Float16)*pa0++;
  488. sum += (_Float16)pv[1] * (_Float16)*pa1++;
  489. sum += (_Float16)pv[2] * (_Float16)*pa2++;
  490. sum += (_Float16)pv[3] * (_Float16)*pa3++;
  491. *pdst++ = sum;
  492. }
  493. pa0 += col + 3*pSrc->numCols;
  494. pa1 += col + 3*pSrc->numCols;
  495. pa2 += col + 3*pSrc->numCols;
  496. pa3 += col + 3*pSrc->numCols;
  497. pv += 4;
  498. pdst = pTmpB;
  499. k += 4;
  500. blkCnt--;
  501. }
  502. pa = pa0;
  503. for(;k<pSrc->numRows-col; k++)
  504. {
  505. for(j=0;j<pSrc->numCols-col; j++)
  506. {
  507. *pdst++ += (_Float16)*pv * (_Float16)*pa++;
  508. }
  509. pa += col;
  510. pv++;
  511. pdst = pTmpB;
  512. }
  513. /* A(col:,col:) - beta v tmpb */
  514. pa = p;
  515. for(j=0;j<pSrc->numRows-col; j++)
  516. {
  517. float16_t f = (_Float16)beta * (_Float16)pTmpA[j];
  518. for(i=0;i<pSrc->numCols-col; i++)
  519. {
  520. *pa = (_Float16)*pa - (_Float16)f * (_Float16)pTmpB[i] ;
  521. pa++;
  522. }
  523. pa += col;
  524. }
  525. /* Copy Householder reflectors into R matrix */
  526. pa = p + pOutR->numCols;
  527. for(k=0;k<pSrc->numRows-col-1; k++)
  528. {
  529. *pa = pTmpA[k+1];
  530. pa += pOutR->numCols;
  531. }
  532. p += 1 + pOutR->numCols;
  533. }
  534. /* Generate Q if requested by user matrix */
  535. if (pOutQ != NULL)
  536. {
  537. /* Initialize Q matrix to identity */
  538. memset(pOutQ->pData,0,sizeof(float16_t)*pOutQ->numRows*pOutQ->numRows);
  539. pa = pOutQ->pData;
  540. for(col=0 ; col < pOutQ->numCols; col++)
  541. {
  542. *pa = 1.0f16;
  543. pa += pOutQ->numCols+1;
  544. }
  545. nb = pOutQ->numRows - pOutQ->numCols + 1;
  546. pc = pOutTau + pOutQ->numCols - 1;
  547. for(col=0 ; col < pOutQ->numCols; col++)
  548. {
  549. int32_t i,j,k, blkCnt;
  550. float16_t *pa0,*pa1,*pa2,*pa3;
  551. pos = pSrc->numRows - nb;
  552. p = pOutQ->pData + pos + pOutQ->numCols*pos ;
  553. COPY_COL_F16(pOutR,pos,pos,pTmpA);
  554. pTmpA[0] = 1.0f16;
  555. pdst = pTmpB;
  556. /* v.T A(col:,col:) -> tmpb */
  557. pv = pTmpA;
  558. pa = p;
  559. for(j=0;j<pOutQ->numRows-pos; j++)
  560. {
  561. *pdst++ = (_Float16)*pv * (_Float16)*pa++;
  562. }
  563. pa += pos;
  564. pv++;
  565. pdst = pTmpB;
  566. pa0 = pa;
  567. pa1 = pa0 + pOutQ->numRows;
  568. pa2 = pa1 + pOutQ->numRows;
  569. pa3 = pa2 + pOutQ->numRows;
  570. /* Unrolled loop */
  571. blkCnt = (pOutQ->numRows-pos - 1) >> 2;
  572. k=1;
  573. while(blkCnt > 0)
  574. {
  575. float16_t sum;
  576. for(j=0;j<pOutQ->numRows-pos; j++)
  577. {
  578. sum = *pdst;
  579. sum += (_Float16)pv[0] * (_Float16)*pa0++;
  580. sum += (_Float16)pv[1] * (_Float16)*pa1++;
  581. sum += (_Float16)pv[2] * (_Float16)*pa2++;
  582. sum += (_Float16)pv[3] * (_Float16)*pa3++;
  583. *pdst++ = sum;
  584. }
  585. pa0 += pos + 3*pOutQ->numRows;
  586. pa1 += pos + 3*pOutQ->numRows;
  587. pa2 += pos + 3*pOutQ->numRows;
  588. pa3 += pos + 3*pOutQ->numRows;
  589. pv += 4;
  590. pdst = pTmpB;
  591. k += 4;
  592. blkCnt--;
  593. }
  594. pa = pa0;
  595. for(;k<pOutQ->numRows-pos; k++)
  596. {
  597. for(j=0;j<pOutQ->numRows-pos; j++)
  598. {
  599. *pdst++ += (_Float16)*pv * (_Float16)*pa++;
  600. }
  601. pa += pos;
  602. pv++;
  603. pdst = pTmpB;
  604. }
  605. pa = p;
  606. beta = *pc--;
  607. for(j=0;j<pOutQ->numRows-pos; j++)
  608. {
  609. float16_t f = (_Float16)beta * (_Float16)pTmpA[j];
  610. for(i=0;i<pOutQ->numCols-pos; i++)
  611. {
  612. *pa = (_Float16)*pa - (_Float16)f * (_Float16)pTmpB[i] ;
  613. pa++;
  614. }
  615. pa += pos;
  616. }
  617. nb++;
  618. }
  619. }
  620. arm_status status = ARM_MATH_SUCCESS;
  621. /* Return to application */
  622. return (status);
  623. }
  624. #endif /* end of test for Helium or Neon availability */
  625. #endif /* #if defined(ARM_FLOAT16_SUPPORTED) */
  626. /**
  627. @} end of MatrixQR group
  628. */