1 /* ----------------------------------------------------------------------
2  * Project:      CMSIS DSP Library
3  * Title:        arm_dot_prod_q7.c
4  * Description:  Q7 dot product
5  *
6  * $Date:        27. January 2017
7  * $Revision:    V.1.5.1
8  *
9  * Target Processor: Cortex-M cores
10  * -------------------------------------------------------------------- */
11 /*
12  * Copyright (C) 2010-2017 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 
29 #include "arm_math.h"
30 
31 /**
32  * @ingroup groupMath
33  */
34 
35 /**
36  * @addtogroup dot_prod
37  * @{
38  */
39 
40 /**
41  * @brief Dot product of Q7 vectors.
42  * @param[in]       *pSrcA points to the first input vector
43  * @param[in]       *pSrcB points to the second input vector
44  * @param[in]       blockSize number of samples in each vector
45  * @param[out]      *result output result returned here
46  * @return none.
47  *
48  * <b>Scaling and Overflow Behavior:</b>
49  * \par
50  * The intermediate multiplications are in 1.7 x 1.7 = 2.14 format and these
51  * results are added to an accumulator in 18.14 format.
52  * Nonsaturating additions are used and there is no danger of wrap around as long as
53  * the vectors are less than 2^18 elements long.
54  * The return result is in 18.14 format.
55  */
56 
arm_dot_prod_q7(q7_t * pSrcA,q7_t * pSrcB,uint32_t blockSize,q31_t * result)57 void arm_dot_prod_q7(
58   q7_t * pSrcA,
59   q7_t * pSrcB,
60   uint32_t blockSize,
61   q31_t * result)
62 {
63   uint32_t blkCnt;                               /* loop counter */
64 
65   q31_t sum = 0;                                 /* Temporary variables to store output */
66 
67 #if defined (ARM_MATH_DSP)
68 
69 /* Run the below code for Cortex-M4 and Cortex-M3 */
70 
71   q31_t input1, input2;                          /* Temporary variables to store input */
72   q31_t inA1, inA2, inB1, inB2;                  /* Temporary variables to store input */
73 
74 
75 
76   /*loop Unrolling */
77   blkCnt = blockSize >> 2u;
78 
79   /* First part of the processing with loop unrolling.  Compute 4 outputs at a time.
80    ** a second loop below computes the remaining 1 to 3 samples. */
81   while (blkCnt > 0u)
82   {
83     /* read 4 samples at a time from sourceA */
84     input1 = *__SIMD32(pSrcA)++;
85     /* read 4 samples at a time from sourceB */
86     input2 = *__SIMD32(pSrcB)++;
87 
88     /* extract two q7_t samples to q15_t samples */
89     inA1 = __SXTB16(__ROR(input1, 8));
90     /* extract reminaing two samples */
91     inA2 = __SXTB16(input1);
92     /* extract two q7_t samples to q15_t samples */
93     inB1 = __SXTB16(__ROR(input2, 8));
94     /* extract reminaing two samples */
95     inB2 = __SXTB16(input2);
96 
97     /* multiply and accumulate two samples at a time */
98     sum = __SMLAD(inA1, inB1, sum);
99     sum = __SMLAD(inA2, inB2, sum);
100 
101     /* Decrement the loop counter */
102     blkCnt--;
103   }
104 
105   /* If the blockSize is not a multiple of 4, compute any remaining output samples here.
106    ** No loop unrolling is used. */
107   blkCnt = blockSize % 0x4u;
108 
109   while (blkCnt > 0u)
110   {
111     /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
112     /* Dot product and then store the results in a temporary buffer. */
113     sum = __SMLAD(*pSrcA++, *pSrcB++, sum);
114 
115     /* Decrement the loop counter */
116     blkCnt--;
117   }
118 
119 #else
120 
121   /* Run the below code for Cortex-M0 */
122 
123 
124 
125   /* Initialize blkCnt with number of samples */
126   blkCnt = blockSize;
127 
128   while (blkCnt > 0u)
129   {
130     /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
131     /* Dot product and then store the results in a temporary buffer. */
132     sum += (q31_t) ((q15_t) * pSrcA++ * *pSrcB++);
133 
134     /* Decrement the loop counter */
135     blkCnt--;
136   }
137 
138 #endif /* #if defined (ARM_MATH_DSP) */
139 
140 
141   /* Store the result in the destination buffer in 18.14 format */
142   *result = sum;
143 }
144 
145 /**
146  * @} end of dot_prod group
147  */
148