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https://github.com/IcedRooibos/py32f0-template.git
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288 lines
8.2 KiB
C
288 lines
8.2 KiB
C
/* ----------------------------------------------------------------------
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* Project: CMSIS DSP Library
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* Title: arm_mat_scale_f32.c
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* Description: Multiplies a floating-point matrix by a scalar
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*
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* $Date: 23 April 2021
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* $Revision: V1.9.0
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*
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* Target Processor: Cortex-M and Cortex-A cores
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* -------------------------------------------------------------------- */
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/*
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* Copyright (C) 2010-2021 ARM Limited or its affiliates. All rights reserved.
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*
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* SPDX-License-Identifier: Apache-2.0
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*
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* Licensed under the Apache License, Version 2.0 (the License); you may
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* not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an AS IS BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "dsp/matrix_functions.h"
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/**
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@ingroup groupMatrix
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*/
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/**
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@defgroup MatrixScale Matrix Scale
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Multiplies a matrix by a scalar. This is accomplished by multiplying each element in the
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matrix by the scalar. For example:
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\image html MatrixScale.gif "Matrix Scaling of a 3 x 3 matrix"
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The function checks to make sure that the input and output matrices are of the same size.
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In the fixed-point Q15 and Q31 functions, <code>scale</code> is represented by
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a fractional multiplication <code>scaleFract</code> and an arithmetic shift <code>shift</code>.
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The shift allows the gain of the scaling operation to exceed 1.0.
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The overall scale factor applied to the fixed-point data is
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<pre>
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scale = scaleFract * 2^shift.
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</pre>
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*/
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/**
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@addtogroup MatrixScale
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@{
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*/
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/**
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@brief Floating-point matrix scaling.
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@param[in] pSrc points to input matrix
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@param[in] scale scale factor to be applied
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@param[out] pDst points to output matrix structure
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@return execution status
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- \ref ARM_MATH_SUCCESS : Operation successful
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- \ref ARM_MATH_SIZE_MISMATCH : Matrix size check failed
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*/
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#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
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arm_status arm_mat_scale_f32(
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const arm_matrix_instance_f32 * pSrc,
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float32_t scale,
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arm_matrix_instance_f32 * pDst)
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{
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arm_status status; /* status of matrix scaling */
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#ifdef ARM_MATH_MATRIX_CHECK
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/* Check for matrix mismatch condition */
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if ((pSrc->numRows != pDst->numRows) || (pSrc->numCols != pDst->numCols))
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{
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/* Set status as ARM_MATH_SIZE_MISMATCH */
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status = ARM_MATH_SIZE_MISMATCH;
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}
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else
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#endif /* #ifdef ARM_MATH_MATRIX_CHECK */
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{
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float32_t *pIn = pSrc->pData; /* input data matrix pointer */
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float32_t *pOut = pDst->pData; /* output data matrix pointer */
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uint32_t numSamples; /* total number of elements in the matrix */
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uint32_t blkCnt; /* loop counters */
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f32x4_t vecIn, vecOut;
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float32_t const *pInVec;
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pInVec = (float32_t const *) pIn;
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/*
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* Total number of samples in the input matrix
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*/
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numSamples = (uint32_t) pSrc->numRows * pSrc->numCols;
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blkCnt = numSamples >> 2;
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while (blkCnt > 0U)
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{
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/*
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* C(m,n) = A(m,n) * scale
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* Scaling and results are stored in the destination buffer.
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*/
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vecIn = vld1q(pInVec);
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pInVec += 4;
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vecOut = vecIn * scale;
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vst1q(pOut, vecOut);
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pOut += 4;
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/*
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* Decrement the blockSize loop counter
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*/
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blkCnt--;
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}
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/*
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* tail
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*/
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blkCnt = numSamples & 3;
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if (blkCnt > 0U)
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{
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mve_pred16_t p0 = vctp32q(blkCnt);
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vecIn = vld1q(pInVec);
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vecOut = vecIn * scale;
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vstrwq_p(pOut, vecOut, p0);
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}
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/* Set status as ARM_MATH_SUCCESS */
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status = ARM_MATH_SUCCESS;
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}
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/* Return to application */
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return (status);
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}
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#else
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#if defined(ARM_MATH_NEON_EXPERIMENTAL)
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arm_status arm_mat_scale_f32(
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const arm_matrix_instance_f32 * pSrc,
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float32_t scale,
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arm_matrix_instance_f32 * pDst)
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{
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float32_t *pIn = pSrc->pData; /* input data matrix pointer */
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float32_t *pOut = pDst->pData; /* output data matrix pointer */
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uint32_t numSamples; /* total number of elements in the matrix */
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uint32_t blkCnt; /* loop counters */
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arm_status status; /* status of matrix scaling */
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#ifdef ARM_MATH_MATRIX_CHECK
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/* Check for matrix mismatch condition */
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if ((pSrc->numRows != pDst->numRows) || (pSrc->numCols != pDst->numCols))
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{
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/* Set status as ARM_MATH_SIZE_MISMATCH */
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status = ARM_MATH_SIZE_MISMATCH;
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}
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else
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#endif /* #ifdef ARM_MATH_MATRIX_CHECK */
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{
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float32x4_t vec1;
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float32x4_t res;
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/* Total number of samples in the input matrix */
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numSamples = (uint32_t) pSrc->numRows * pSrc->numCols;
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blkCnt = numSamples >> 2;
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/* Compute 4 outputs at a time.
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** a second loop below computes the remaining 1 to 3 samples. */
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while (blkCnt > 0U)
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{
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/* C(m,n) = A(m,n) * scale */
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/* Scaling and results are stored in the destination buffer. */
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vec1 = vld1q_f32(pIn);
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res = vmulq_f32(vec1, vdupq_n_f32(scale));
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vst1q_f32(pOut, res);
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/* update pointers to process next sampels */
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pIn += 4U;
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pOut += 4U;
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/* Decrement the numSamples loop counter */
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blkCnt--;
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}
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/* If the numSamples is not a multiple of 4, compute any remaining output samples here.
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** No loop unrolling is used. */
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blkCnt = numSamples % 0x4U;
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while (blkCnt > 0U)
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{
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/* C(m,n) = A(m,n) * scale */
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/* The results are stored in the destination buffer. */
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*pOut++ = (*pIn++) * scale;
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/* Decrement the loop counter */
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blkCnt--;
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}
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/* Set status as ARM_MATH_SUCCESS */
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status = ARM_MATH_SUCCESS;
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}
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/* Return to application */
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return (status);
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}
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#else
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arm_status arm_mat_scale_f32(
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const arm_matrix_instance_f32 * pSrc,
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float32_t scale,
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arm_matrix_instance_f32 * pDst)
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{
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float32_t *pIn = pSrc->pData; /* Input data matrix pointer */
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float32_t *pOut = pDst->pData; /* Output data matrix pointer */
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uint32_t numSamples; /* Total number of elements in the matrix */
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uint32_t blkCnt; /* Loop counters */
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arm_status status; /* Status of matrix scaling */
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#ifdef ARM_MATH_MATRIX_CHECK
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/* Check for matrix mismatch condition */
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if ((pSrc->numRows != pDst->numRows) ||
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(pSrc->numCols != pDst->numCols) )
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{
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/* Set status as ARM_MATH_SIZE_MISMATCH */
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status = ARM_MATH_SIZE_MISMATCH;
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}
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else
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#endif /* #ifdef ARM_MATH_MATRIX_CHECK */
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{
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/* Total number of samples in input matrix */
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numSamples = (uint32_t) pSrc->numRows * pSrc->numCols;
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#if defined (ARM_MATH_LOOPUNROLL)
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/* Loop unrolling: Compute 4 outputs at a time */
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blkCnt = numSamples >> 2U;
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while (blkCnt > 0U)
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{
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/* C(m,n) = A(m,n) * scale */
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/* Scale and store result in destination buffer. */
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*pOut++ = (*pIn++) * scale;
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*pOut++ = (*pIn++) * scale;
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*pOut++ = (*pIn++) * scale;
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*pOut++ = (*pIn++) * scale;
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/* Decrement loop counter */
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blkCnt--;
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}
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/* Loop unrolling: Compute remaining outputs */
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blkCnt = numSamples % 0x4U;
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#else
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/* Initialize blkCnt with number of samples */
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blkCnt = numSamples;
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#endif /* #if defined (ARM_MATH_LOOPUNROLL) */
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while (blkCnt > 0U)
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{
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/* C(m,n) = A(m,n) * scale */
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/* Scale and store result in destination buffer. */
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*pOut++ = (*pIn++) * scale;
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/* Decrement loop counter */
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blkCnt--;
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}
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/* Set status as ARM_MATH_SUCCESS */
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status = ARM_MATH_SUCCESS;
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}
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/* Return to application */
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return (status);
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}
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#endif /* #if defined(ARM_MATH_NEON) */
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#endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */
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/**
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@} end of MatrixScale group
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*/
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