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56 | mjames | 1 | /* |
2 | * Copyright (C) 2010-2018 Arm Limited or its affiliates. All rights reserved. |
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3 | * |
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4 | * SPDX-License-Identifier: Apache-2.0 |
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5 | * |
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6 | * Licensed under the Apache License, Version 2.0 (the License); you may |
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7 | * not use this file except in compliance with the License. |
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8 | * You may obtain a copy of the License at |
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9 | * |
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10 | * www.apache.org/licenses/LICENSE-2.0 |
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11 | * |
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12 | * Unless required by applicable law or agreed to in writing, software |
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13 | * distributed under the License is distributed on an AS IS BASIS, WITHOUT |
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14 | * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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15 | * See the License for the specific language governing permissions and |
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16 | * limitations under the License. |
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17 | */ |
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18 | |||
19 | /* ---------------------------------------------------------------------- |
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20 | * Project: CMSIS NN Library |
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21 | * Title: arm_nn_mult_q15.c |
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22 | * Description: Q15 vector multiplication with variable output shifts |
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23 | * |
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24 | * $Date: 13. July 2018 |
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25 | * $Revision: V.1.0.0 |
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26 | * |
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27 | * Target Processor: Cortex-M cores |
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28 | * |
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29 | * -------------------------------------------------------------------- */ |
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30 | |||
31 | #include "arm_nnfunctions.h" |
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32 | |||
33 | /** |
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34 | * @ingroup groupSupport |
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35 | */ |
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36 | |||
37 | /** |
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38 | * @addtogroup NNBasicMath |
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39 | * @{ |
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40 | */ |
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41 | |||
42 | |||
43 | /** |
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44 | * @brief Q7 vector multiplication with variable output shifts |
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45 | * @param[in] *pSrcA pointer to the first input vector |
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46 | * @param[in] *pSrcB pointer to the second input vector |
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47 | * @param[out] *pDst pointer to the output vector |
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48 | * @param[in] out_shift amount of right-shift for output |
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49 | * @param[in] blockSize number of samples in each vector |
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50 | * @return none. |
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51 | * |
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52 | * <b>Scaling and Overflow Behavior:</b> |
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53 | * \par |
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54 | * The function uses saturating arithmetic. |
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55 | * Results outside of the allowable Q15 range [0x8000 0x7FFF] will be saturated. |
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56 | */ |
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57 | |||
58 | void arm_nn_mult_q15( |
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59 | q15_t * pSrcA, |
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60 | q15_t * pSrcB, |
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61 | q15_t * pDst, |
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62 | const uint16_t out_shift, |
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63 | uint32_t blockSize) |
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64 | { |
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65 | uint32_t blkCnt; /* loop counters */ |
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66 | |||
67 | #if defined (ARM_MATH_DSP) |
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68 | |||
69 | /* Run the below code for Cortex-M4 and Cortex-M3 */ |
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70 | q31_t inA1, inA2, inB1, inB2; /* temporary input variables */ |
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71 | q15_t out1, out2, out3, out4; /* temporary output variables */ |
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72 | q31_t mul1, mul2, mul3, mul4; /* temporary variables */ |
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73 | |||
74 | /* loop Unrolling */ |
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75 | blkCnt = blockSize >> 2U; |
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76 | |||
77 | /* First part of the processing with loop unrolling. Compute 4 outputs at a time. |
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78 | ** a second loop below computes the remaining 1 to 3 samples. */ |
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79 | while (blkCnt > 0U) |
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80 | { |
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81 | /* read two samples at a time from sourceA */ |
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82 | inA1 = *__SIMD32(pSrcA)++; |
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83 | /* read two samples at a time from sourceB */ |
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84 | inB1 = *__SIMD32(pSrcB)++; |
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85 | /* read two samples at a time from sourceA */ |
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86 | inA2 = *__SIMD32(pSrcA)++; |
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87 | /* read two samples at a time from sourceB */ |
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88 | inB2 = *__SIMD32(pSrcB)++; |
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89 | |||
90 | /* multiply mul = sourceA * sourceB */ |
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91 | mul1 = (q31_t) ((q15_t) (inA1 >> 16) * (q15_t) (inB1 >> 16)); |
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92 | mul2 = (q31_t) ((q15_t) inA1 * (q15_t) inB1); |
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93 | mul3 = (q31_t) ((q15_t) (inA2 >> 16) * (q15_t) (inB2 >> 16)); |
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94 | mul4 = (q31_t) ((q15_t) inA2 * (q15_t) inB2); |
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95 | |||
96 | /* saturate result to 16 bit */ |
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97 | out1 = (q15_t) __SSAT((mul1 + NN_ROUND(out_shift)) >> out_shift, 16); |
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98 | out2 = (q15_t) __SSAT((mul2 + NN_ROUND(out_shift)) >> out_shift, 16); |
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99 | out3 = (q15_t) __SSAT((mul3 + NN_ROUND(out_shift)) >> out_shift, 16); |
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100 | out4 = (q15_t) __SSAT((mul4 + NN_ROUND(out_shift)) >> out_shift, 16); |
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101 | |||
102 | /* store the result */ |
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103 | #ifndef ARM_MATH_BIG_ENDIAN |
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104 | |||
105 | *__SIMD32(pDst)++ = __PKHBT(out2, out1, 16); |
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106 | *__SIMD32(pDst)++ = __PKHBT(out4, out3, 16); |
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107 | |||
108 | #else |
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109 | |||
110 | *__SIMD32(pDst)++ = __PKHBT(out2, out1, 16); |
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111 | *__SIMD32(pDst)++ = __PKHBT(out4, out3, 16); |
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112 | |||
113 | #endif /* #ifndef ARM_MATH_BIG_ENDIAN */ |
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114 | |||
115 | /* Decrement the blockSize loop counter */ |
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116 | blkCnt--; |
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117 | } |
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118 | |||
119 | /* If the blockSize is not a multiple of 4, compute any remaining output samples here. |
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120 | ** No loop unrolling is used. */ |
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121 | blkCnt = blockSize % 0x4U; |
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122 | |||
123 | #else |
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124 | |||
125 | /* Run the below code for Cortex-M0 */ |
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126 | |||
127 | /* Initialize blkCnt with number of samples */ |
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128 | blkCnt = blockSize; |
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129 | |||
130 | #endif /* #if defined (ARM_MATH_DSP) */ |
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131 | |||
132 | |||
133 | while (blkCnt > 0U) |
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134 | { |
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135 | /* C = A * B */ |
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136 | /* Multiply the inputs and store the result in the destination buffer */ |
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137 | *pDst++ = (q15_t) __SSAT((((q31_t) (*pSrcA++) * (*pSrcB++) + NN_ROUND(out_shift)) >> out_shift), 16); |
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138 | |||
139 | /* Decrement the blockSize loop counter */ |
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140 | blkCnt--; |
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141 | } |
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142 | } |
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143 | |||
144 | /** |
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145 | * @} end of NNBasicMath group |
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146 | */ |
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147 |