170 lines
		
	
	
		
			4.9 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
			
		
		
	
	
			170 lines
		
	
	
		
			4.9 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:        27. January 2017
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 * $Revision:    V.1.5.1
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 *
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 * Target Processor: Cortex-M cores
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 * -------------------------------------------------------------------- */
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/*
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 * Copyright (C) 2010-2017 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 "arm_math.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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 *
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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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 *
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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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 *
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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 structure
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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     		The function returns either <code>ARM_MATH_SIZE_MISMATCH</code>
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 * or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.
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 *
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 */
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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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#if defined (ARM_MATH_DSP)
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  float32_t in1, in2, in3, in4;                  /* temporary variables */
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  float32_t out1, out2, out3, out4;              /* temporary variables */
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#endif //      #if defined (ARM_MATH_DSP)
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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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    /* Total number of samples in the input matrix */
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    numSamples = (uint32_t) pSrc->numRows * pSrc->numCols;
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#if defined (ARM_MATH_DSP)
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    /* Run the below code for Cortex-M4 and Cortex-M3 */
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    /* Loop Unrolling */
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    blkCnt = numSamples >> 2;
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    /* First part of the processing with loop unrolling.  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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      in1 = pIn[0];
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      in2 = pIn[1];
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      in3 = pIn[2];
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      in4 = pIn[3];
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      out1 = in1 * scale;
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      out2 = in2 * scale;
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      out3 = in3 * scale;
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      out4 = in4 * scale;
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      pOut[0] = out1;
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      pOut[1] = out2;
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      pOut[2] = out3;
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      pOut[3] = out4;
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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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#else
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    /* Run the below code for Cortex-M0 */
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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_DSP) */
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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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/**
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 * @} end of MatrixScale group
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 */
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