arm_mean_f16.c
1 /* ---------------------------------------------------------------------- 2 * Project: CMSIS DSP Library 3 * Title: arm_mean_f16.c 4 * Description: Mean value of a floating-point vector 5 * 6 * $Date: 23 April 2021 7 * $Revision: V1.9.0 8 * 9 * Target Processor: Cortex-M and Cortex-A cores 10 * -------------------------------------------------------------------- */ 11 /* 12 * Copyright (C) 2010-2021 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 "dsp/statistics_functions_f16.h" 30 31 #if defined(ARM_FLOAT16_SUPPORTED) 32 33 34 /** 35 @ingroup groupStats 36 */ 37 38 /** 39 @defgroup mean Mean 40 41 Calculates the mean of the input vector. Mean is defined as the average of the elements in the vector. 42 The underlying algorithm is used: 43 44 <pre> 45 Result = (pSrc[0] + pSrc[1] + pSrc[2] + ... + pSrc[blockSize-1]) / blockSize; 46 </pre> 47 48 There are separate functions for floating-point, Q31, Q15, and Q7 data types. 49 */ 50 51 /** 52 @addtogroup mean 53 @{ 54 */ 55 56 /** 57 @brief Mean value of a floating-point vector. 58 @param[in] pSrc points to the input vector. 59 @param[in] blockSize number of samples in input vector. 60 @param[out] pResult mean value returned here. 61 @return none 62 */ 63 #if defined(ARM_MATH_MVE_FLOAT16) && !defined(ARM_MATH_AUTOVECTORIZE) 64 65 #include "arm_helium_utils.h" 66 67 void arm_mean_f16( 68 const float16_t * pSrc, 69 uint32_t blockSize, 70 float16_t * pResult) 71 { 72 int32_t blkCnt; /* loop counters */ 73 f16x8_t vecSrc; 74 f16x8_t sumVec = vdupq_n_f16(0.0f16); 75 76 blkCnt = blockSize; 77 do { 78 mve_pred16_t p = vctp16q(blkCnt); 79 80 vecSrc = vldrhq_z_f16((float16_t const *) pSrc, p); 81 sumVec = vaddq_m_f16(sumVec, sumVec, vecSrc, p); 82 83 blkCnt -= 8; 84 pSrc += 8; 85 } 86 while (blkCnt > 0); 87 88 *pResult = vecAddAcrossF16Mve(sumVec) / (float16_t) blockSize; 89 } 90 91 92 #else 93 94 void arm_mean_f16( 95 const float16_t * pSrc, 96 uint32_t blockSize, 97 float16_t * pResult) 98 { 99 uint32_t blkCnt; /* Loop counter */ 100 float16_t sum = 0.0f; /* Temporary result storage */ 101 102 #if defined (ARM_MATH_LOOPUNROLL) && !defined(ARM_MATH_AUTOVECTORIZE) 103 104 /* Loop unrolling: Compute 4 outputs at a time */ 105 blkCnt = blockSize >> 2U; 106 107 while (blkCnt > 0U) 108 { 109 /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ 110 sum += *pSrc++; 111 112 sum += *pSrc++; 113 114 sum += *pSrc++; 115 116 sum += *pSrc++; 117 118 /* Decrement the loop counter */ 119 blkCnt--; 120 } 121 122 /* Loop unrolling: Compute remaining outputs */ 123 blkCnt = blockSize % 0x4U; 124 125 #else 126 127 /* Initialize blkCnt with number of samples */ 128 blkCnt = blockSize; 129 130 #endif /* #if defined (ARM_MATH_LOOPUNROLL) */ 131 132 while (blkCnt > 0U) 133 { 134 /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ 135 sum += *pSrc++; 136 137 /* Decrement loop counter */ 138 blkCnt--; 139 } 140 141 /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize */ 142 /* Store result to destination */ 143 *pResult = (sum / (float16_t)blockSize); 144 } 145 #endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */ 146 147 /** 148 @} end of mean group 149 */ 150 151 #endif /* #if defined(ARM_FLOAT16_SUPPORTED) */ 152