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arm_mat_mult_q31.c
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1 /* ----------------------------------------------------------------------
2 * Copyright (C) 2010-2014 ARM Limited. All rights reserved.
3 *
4 * $Date: 19. March 2015
5 * $Revision: V.1.4.5
6 *
7 * Project: CMSIS DSP Library
8 * Title: arm_mat_mult_q31.c
9 *
10 * Description: Q31 matrix multiplication.
11 *
12 * Target Processor: Cortex-M4/Cortex-M3/Cortex-M0
13 *
14 * Redistribution and use in source and binary forms, with or without
15 * modification, are permitted provided that the following conditions
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40 
41 #include "arm_math.h"
42 
79  const arm_matrix_instance_q31 * pSrcA,
80  const arm_matrix_instance_q31 * pSrcB,
82 {
83  q31_t *pIn1 = pSrcA->pData; /* input data matrix pointer A */
84  q31_t *pIn2 = pSrcB->pData; /* input data matrix pointer B */
85  q31_t *pInA = pSrcA->pData; /* input data matrix pointer A */
86  q31_t *pOut = pDst->pData; /* output data matrix pointer */
87  q31_t *px; /* Temporary output data matrix pointer */
88  q63_t sum; /* Accumulator */
89  uint16_t numRowsA = pSrcA->numRows; /* number of rows of input matrix A */
90  uint16_t numColsB = pSrcB->numCols; /* number of columns of input matrix B */
91  uint16_t numColsA = pSrcA->numCols; /* number of columns of input matrix A */
92 
93 #ifndef ARM_MATH_CM0_FAMILY
94 
95  /* Run the below code for Cortex-M4 and Cortex-M3 */
96 
97  uint16_t col, i = 0u, j, row = numRowsA, colCnt; /* loop counters */
98  arm_status status; /* status of matrix multiplication */
99  q31_t a0, a1, a2, a3, b0, b1, b2, b3;
100 
101 #ifdef ARM_MATH_MATRIX_CHECK
102 
103 
104  /* Check for matrix mismatch condition */
105  if((pSrcA->numCols != pSrcB->numRows) ||
106  (pSrcA->numRows != pDst->numRows) || (pSrcB->numCols != pDst->numCols))
107  {
108  /* Set status as ARM_MATH_SIZE_MISMATCH */
109  status = ARM_MATH_SIZE_MISMATCH;
110  }
111  else
112 #endif /* #ifdef ARM_MATH_MATRIX_CHECK */
113 
114  {
115  /* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */
116  /* row loop */
117  do
118  {
119  /* Output pointer is set to starting address of the row being processed */
120  px = pOut + i;
121 
122  /* For every row wise process, the column loop counter is to be initiated */
123  col = numColsB;
124 
125  /* For every row wise process, the pIn2 pointer is set
126  ** to the starting address of the pSrcB data */
127  pIn2 = pSrcB->pData;
128 
129  j = 0u;
130 
131  /* column loop */
132  do
133  {
134  /* Set the variable sum, that acts as accumulator, to zero */
135  sum = 0;
136 
137  /* Initiate the pointer pIn1 to point to the starting address of pInA */
138  pIn1 = pInA;
139 
140  /* Apply loop unrolling and compute 4 MACs simultaneously. */
141  colCnt = numColsA >> 2;
142 
143 
144  /* matrix multiplication */
145  while(colCnt > 0u)
146  {
147  /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */
148  /* Perform the multiply-accumulates */
149  b0 = *pIn2;
150  pIn2 += numColsB;
151 
152  a0 = *pIn1++;
153  a1 = *pIn1++;
154 
155  b1 = *pIn2;
156  pIn2 += numColsB;
157  b2 = *pIn2;
158  pIn2 += numColsB;
159 
160  sum += (q63_t) a0 *b0;
161  sum += (q63_t) a1 *b1;
162 
163  a2 = *pIn1++;
164  a3 = *pIn1++;
165 
166  b3 = *pIn2;
167  pIn2 += numColsB;
168 
169  sum += (q63_t) a2 *b2;
170  sum += (q63_t) a3 *b3;
171 
172  /* Decrement the loop counter */
173  colCnt--;
174  }
175 
176  /* If the columns of pSrcA is not a multiple of 4, compute any remaining output samples here.
177  ** No loop unrolling is used. */
178  colCnt = numColsA % 0x4u;
179 
180  while(colCnt > 0u)
181  {
182  /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */
183  /* Perform the multiply-accumulates */
184  sum += (q63_t) * pIn1++ * *pIn2;
185  pIn2 += numColsB;
186 
187  /* Decrement the loop counter */
188  colCnt--;
189  }
190 
191  /* Convert the result from 2.62 to 1.31 format and store in destination buffer */
192  *px++ = (q31_t) (sum >> 31);
193 
194  /* Update the pointer pIn2 to point to the starting address of the next column */
195  j++;
196  pIn2 = (pSrcB->pData) + j;
197 
198  /* Decrement the column loop counter */
199  col--;
200 
201  } while(col > 0u);
202 
203 #else
204 
205  /* Run the below code for Cortex-M0 */
206 
207  q31_t *pInB = pSrcB->pData; /* input data matrix pointer B */
208  uint16_t col, i = 0u, row = numRowsA, colCnt; /* loop counters */
209  arm_status status; /* status of matrix multiplication */
210 
211 
212 #ifdef ARM_MATH_MATRIX_CHECK
213 
214  /* Check for matrix mismatch condition */
215  if((pSrcA->numCols != pSrcB->numRows) ||
216  (pSrcA->numRows != pDst->numRows) || (pSrcB->numCols != pDst->numCols))
217  {
218  /* Set status as ARM_MATH_SIZE_MISMATCH */
219  status = ARM_MATH_SIZE_MISMATCH;
220  }
221  else
222 #endif /* #ifdef ARM_MATH_MATRIX_CHECK */
223 
224  {
225  /* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */
226  /* row loop */
227  do
228  {
229  /* Output pointer is set to starting address of the row being processed */
230  px = pOut + i;
231 
232  /* For every row wise process, the column loop counter is to be initiated */
233  col = numColsB;
234 
235  /* For every row wise process, the pIn2 pointer is set
236  ** to the starting address of the pSrcB data */
237  pIn2 = pSrcB->pData;
238 
239  /* column loop */
240  do
241  {
242  /* Set the variable sum, that acts as accumulator, to zero */
243  sum = 0;
244 
245  /* Initiate the pointer pIn1 to point to the starting address of pInA */
246  pIn1 = pInA;
247 
248  /* Matrix A columns number of MAC operations are to be performed */
249  colCnt = numColsA;
250 
251  /* matrix multiplication */
252  while(colCnt > 0u)
253  {
254  /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */
255  /* Perform the multiply-accumulates */
256  sum += (q63_t) * pIn1++ * *pIn2;
257  pIn2 += numColsB;
258 
259  /* Decrement the loop counter */
260  colCnt--;
261  }
262 
263  /* Convert the result from 2.62 to 1.31 format and store in destination buffer */
264  *px++ = (q31_t) clip_q63_to_q31(sum >> 31);
265 
266  /* Decrement the column loop counter */
267  col--;
268 
269  /* Update the pointer pIn2 to point to the starting address of the next column */
270  pIn2 = pInB + (numColsB - col);
271 
272  } while(col > 0u);
273 
274 #endif
275 
276  /* Update the pointer pInA to point to the starting address of the next row */
277  i = i + numColsB;
278  pInA = pInA + numColsA;
279 
280  /* Decrement the row loop counter */
281  row--;
282 
283  } while(row > 0u);
284 
285  /* set status as ARM_MATH_SUCCESS */
286  status = ARM_MATH_SUCCESS;
287  }
288  /* Return to application */
289  return (status);
290 }
291 
arm_status arm_mat_mult_q31(const arm_matrix_instance_q31 *pSrcA, const arm_matrix_instance_q31 *pSrcB, arm_matrix_instance_q31 *pDst)
Q31 matrix multiplication.
int64_t q63_t
64-bit fractional data type in 1.63 format.
Definition: arm_math.h:402
int32_t q31_t
32-bit fractional data type in 1.31 format.
Definition: arm_math.h:397
arm_status
Error status returned by some functions in the library.
Definition: arm_math.h:373
Instance structure for the Q31 matrix structure.
Definition: arm_math.h:1400