From 9c59a184dba820975e5da6fcd5d248aee87f7e2f Mon Sep 17 00:00:00 2001 From: Clyne Sullivan Date: Sun, 2 Feb 2025 11:26:53 -0500 Subject: add l476 implementation --- .../DSP/Source/StatisticsFunctions/arm_var_f32.c | 527 +++++++++------------ 1 file changed, 234 insertions(+), 293 deletions(-) (limited to 'Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_var_f32.c') diff --git a/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_var_f32.c b/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_var_f32.c index 7ff344c..18f5806 100644 --- a/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_var_f32.c +++ b/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_var_f32.c @@ -1,293 +1,234 @@ -/* ---------------------------------------------------------------------- - * Project: CMSIS DSP Library - * Title: arm_var_f32.c - * Description: Variance of the elements of a floating-point vector - * - * $Date: 23 April 2021 - * $Revision: V1.9.0 - * - * Target Processor: Cortex-M and Cortex-A cores - * -------------------------------------------------------------------- */ -/* - * Copyright (C) 2010-2021 ARM Limited or its affiliates. All rights reserved. - * - * SPDX-License-Identifier: Apache-2.0 - * - * Licensed under the Apache License, Version 2.0 (the License); you may - * not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an AS IS BASIS, WITHOUT - * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include "dsp/statistics_functions.h" - -/** - @ingroup groupStats - */ - -/** - @defgroup variance Variance - - Calculates the variance of the elements in the input vector. - The underlying algorithm used is the direct method sometimes referred to as the two-pass method: - - 
-      Result = sum(element - meanOfElements)^2) / numElement - 1
-
-      meanOfElements = ( pSrc[0] * pSrc[0] + pSrc[1] * pSrc[1] + ... + pSrc[blockSize-1] ) / blockSize
-
- - There are separate functions for floating point, Q31, and Q15 data types. - */ - -/** - @addtogroup variance - @{ - */ - -/** - @brief Variance of the elements of a floating-point vector. - @param[in] pSrc points to the input vector - @param[in] blockSize number of samples in input vector - @param[out] pResult variance value returned here - @return none - */ -#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) - -#include "arm_helium_utils.h" - -void arm_var_f32( - const float32_t * pSrc, - uint32_t blockSize, - float32_t * pResult) -{ - uint32_t blkCnt; /* loop counters */ - f32x4_t vecSrc; - f32x4_t sumVec = vdupq_n_f32(0.0f); - float32_t fMean; - float32_t sum = 0.0f; /* accumulator */ - float32_t in; /* Temporary variable to store input value */ - - if (blockSize <= 1U) { - *pResult = 0; - return; - } - - arm_mean_f32(pSrc, blockSize, &fMean); - - /* Compute 4 outputs at a time */ - blkCnt = blockSize >> 2U; - while (blkCnt > 0U) - { - - vecSrc = vldrwq_f32(pSrc); - /* - * sum lanes - */ - vecSrc = vsubq(vecSrc, fMean); - sumVec = vfmaq(sumVec, vecSrc, vecSrc); - - blkCnt --; - pSrc += 4; - } - - sum = vecAddAcrossF32Mve(sumVec); - - /* - * tail - */ - blkCnt = blockSize & 0x3; - while (blkCnt > 0U) - { - in = *pSrc++ - fMean; - sum += in * in; - - /* Decrement loop counter */ - blkCnt--; - } - - /* Variance */ - *pResult = sum / (float32_t) (blockSize - 1); -} -#else -#if defined(ARM_MATH_NEON_EXPERIMENTAL) && !defined(ARM_MATH_AUTOVECTORIZE) -void arm_var_f32( - const float32_t * pSrc, - uint32_t blockSize, - float32_t * pResult) -{ - float32_t mean; - - float32_t sum = 0.0f; /* accumulator */ - float32_t in; /* Temporary variable to store input value */ - uint32_t blkCnt; /* loop counter */ - - float32x4_t sumV = vdupq_n_f32(0.0f); /* Temporary result storage */ - float32x2_t sumV2; - float32x4_t inV; - float32x4_t avg; - - arm_mean_f32(pSrc,blockSize,&mean); - avg = vdupq_n_f32(mean); - - blkCnt = blockSize >> 2U; - - /* Compute 4 outputs at a time. - ** a second loop below computes the remaining 1 to 3 samples. */ - while (blkCnt > 0U) - { - /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */ - /* Compute Power and then store the result in a temporary variable, sum. */ - inV = vld1q_f32(pSrc); - inV = vsubq_f32(inV, avg); - sumV = vmlaq_f32(sumV, inV, inV); - pSrc += 4; - - /* Decrement the loop counter */ - blkCnt--; - } - - sumV2 = vpadd_f32(vget_low_f32(sumV),vget_high_f32(sumV)); - sum = vget_lane_f32(sumV2, 0) + vget_lane_f32(sumV2, 1); - - /* If the blockSize is not a multiple of 4, compute any remaining output samples here. - ** No loop unrolling is used. */ - blkCnt = blockSize % 0x4U; - - while (blkCnt > 0U) - { - /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */ - /* compute power and then store the result in a temporary variable, sum. */ - in = *pSrc++; - in = in - mean; - sum += in * in; - - /* Decrement the loop counter */ - blkCnt--; - } - - /* Variance */ - *pResult = sum / (float32_t)(blockSize - 1.0f); - -} - -#else -void arm_var_f32( - const float32_t * pSrc, - uint32_t blockSize, - float32_t * pResult) -{ - uint32_t blkCnt; /* Loop counter */ - float32_t sum = 0.0f; /* Temporary result storage */ - float32_t fSum = 0.0f; - float32_t fMean, fValue; - const float32_t * pInput = pSrc; - - if (blockSize <= 1U) - { - *pResult = 0; - return; - } - -#if defined (ARM_MATH_LOOPUNROLL) && !defined(ARM_MATH_AUTOVECTORIZE) - - /* Loop unrolling: Compute 4 outputs at a time */ - blkCnt = blockSize >> 2U; - - while (blkCnt > 0U) - { - /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ - - sum += *pInput++; - sum += *pInput++; - sum += *pInput++; - sum += *pInput++; - - - /* Decrement loop counter */ - blkCnt--; - } - - /* Loop unrolling: Compute remaining outputs */ - blkCnt = blockSize % 0x4U; - -#else - - /* Initialize blkCnt with number of samples */ - blkCnt = blockSize; - -#endif /* #if defined (ARM_MATH_LOOPUNROLL) */ - - while (blkCnt > 0U) - { - /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ - - sum += *pInput++; - - /* Decrement loop counter */ - blkCnt--; - } - - /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize */ - fMean = sum / (float32_t) blockSize; - - pInput = pSrc; - -#if defined (ARM_MATH_LOOPUNROLL) && !defined(ARM_MATH_AUTOVECTORIZE) - - /* Loop unrolling: Compute 4 outputs at a time */ - blkCnt = blockSize >> 2U; - - while (blkCnt > 0U) - { - fValue = *pInput++ - fMean; - fSum += fValue * fValue; - - fValue = *pInput++ - fMean; - fSum += fValue * fValue; - - fValue = *pInput++ - fMean; - fSum += fValue * fValue; - - fValue = *pInput++ - fMean; - fSum += fValue * fValue; - - /* Decrement loop counter */ - blkCnt--; - } - - /* Loop unrolling: Compute remaining outputs */ - blkCnt = blockSize % 0x4U; - -#else - - /* Initialize blkCnt with number of samples */ - blkCnt = blockSize; - -#endif /* #if defined (ARM_MATH_LOOPUNROLL) */ - - while (blkCnt > 0U) - { - fValue = *pInput++ - fMean; - fSum += fValue * fValue; - - /* Decrement loop counter */ - blkCnt--; - } - - /* Variance */ - *pResult = fSum / (float32_t)(blockSize - 1.0f); -} -#endif /* #if defined(ARM_MATH_NEON) */ -#endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */ - -/** - @} end of variance group - */ +/* ---------------------------------------------------------------------- + * Project: CMSIS DSP Library + * Title: arm_var_f32.c + * Description: Variance of the elements of a floating-point vector + * + * $Date: 18. March 2019 + * $Revision: V1.6.0 + * + * Target Processor: Cortex-M cores + * -------------------------------------------------------------------- */ +/* + * Copyright (C) 2010-2019 ARM Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "arm_math.h" + +/** + @ingroup groupStats + */ + +/** + @defgroup variance Variance + + Calculates the variance of the elements in the input vector. + The underlying algorithm used is the direct method sometimes referred to as the two-pass method: + + 
+      Result = sum(element - meanOfElements)^2) / numElement - 1
+
+      meanOfElements = ( pSrc[0] * pSrc[0] + pSrc[1] * pSrc[1] + ... + pSrc[blockSize-1] ) / blockSize
+
+ + There are separate functions for floating point, Q31, and Q15 data types. + */ + +/** + @addtogroup variance + @{ + */ + +/** + @brief Variance of the elements of a floating-point vector. + @param[in] pSrc points to the input vector + @param[in] blockSize number of samples in input vector + @param[out] pResult variance value returned here + @return none + */ +#if defined(ARM_MATH_NEON_EXPERIMENTAL) +void arm_var_f32( + const float32_t * pSrc, + uint32_t blockSize, + float32_t * pResult) +{ + float32_t mean; + + float32_t sum = 0.0f; /* accumulator */ + float32_t in; /* Temporary variable to store input value */ + uint32_t blkCnt; /* loop counter */ + + float32x4_t sumV = vdupq_n_f32(0.0f); /* Temporary result storage */ + float32x2_t sumV2; + float32x4_t inV; + float32x4_t avg; + + arm_mean_f32(pSrc,blockSize,&mean); + avg = vdupq_n_f32(mean); + + blkCnt = blockSize >> 2U; + + /* Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while (blkCnt > 0U) + { + /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */ + /* Compute Power and then store the result in a temporary variable, sum. */ + inV = vld1q_f32(pSrc); + inV = vsubq_f32(inV, avg); + sumV = vmlaq_f32(sumV, inV, inV); + pSrc += 4; + + /* Decrement the loop counter */ + blkCnt--; + } + + sumV2 = vpadd_f32(vget_low_f32(sumV),vget_high_f32(sumV)); + sum = sumV2[0] + sumV2[1]; + + /* If the blockSize is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + blkCnt = blockSize % 0x4U; + + while (blkCnt > 0U) + { + /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */ + /* compute power and then store the result in a temporary variable, sum. */ + in = *pSrc++; + in = in - mean; + sum += in * in; + + /* Decrement the loop counter */ + blkCnt--; + } + + /* Variance */ + *pResult = sum / (float32_t)(blockSize - 1.0f); + +} + +#else +void arm_var_f32( + const float32_t * pSrc, + uint32_t blockSize, + float32_t * pResult) +{ + uint32_t blkCnt; /* Loop counter */ + float32_t sum = 0.0f; /* Temporary result storage */ + float32_t fSum = 0.0f; + float32_t fMean, fValue; + const float32_t * pInput = pSrc; + + if (blockSize <= 1U) + { + *pResult = 0; + return; + } + +#if defined (ARM_MATH_LOOPUNROLL) + + /* Loop unrolling: Compute 4 outputs at a time */ + blkCnt = blockSize >> 2U; + + while (blkCnt > 0U) + { + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ + + sum += *pInput++; + sum += *pInput++; + sum += *pInput++; + sum += *pInput++; + + + /* Decrement loop counter */ + blkCnt--; + } + + /* Loop unrolling: Compute remaining outputs */ + blkCnt = blockSize % 0x4U; + +#else + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_LOOPUNROLL) */ + + while (blkCnt > 0U) + { + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ + + sum += *pInput++; + + /* Decrement loop counter */ + blkCnt--; + } + + /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize */ + fMean = sum / (float32_t) blockSize; + + pInput = pSrc; + +#if defined (ARM_MATH_LOOPUNROLL) + + /* Loop unrolling: Compute 4 outputs at a time */ + blkCnt = blockSize >> 2U; + + while (blkCnt > 0U) + { + fValue = *pInput++ - fMean; + fSum += fValue * fValue; + + fValue = *pInput++ - fMean; + fSum += fValue * fValue; + + fValue = *pInput++ - fMean; + fSum += fValue * fValue; + + fValue = *pInput++ - fMean; + fSum += fValue * fValue; + + /* Decrement loop counter */ + blkCnt--; + } + + /* Loop unrolling: Compute remaining outputs */ + blkCnt = blockSize % 0x4U; + +#else + + /* Initialize blkCnt with number of samples */ + blkCnt = blockSize; + +#endif /* #if defined (ARM_MATH_LOOPUNROLL) */ + + while (blkCnt > 0U) + { + fValue = *pInput++ - fMean; + fSum += fValue * fValue; + + /* Decrement loop counter */ + blkCnt--; + } + + /* Variance */ + *pResult = fSum / (float32_t)(blockSize - 1.0f); +} +#endif /* #if defined(ARM_MATH_NEON) */ + +/** + @} end of variance group + */ -- cgit v1.2.3