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-rw-r--r--fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_q7.c147
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diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_q7.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_q7.c
deleted file mode 100644
index ef08038..0000000
--- a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_q7.c
+++ /dev/null
@@ -1,147 +0,0 @@
-/* ----------------------------------------------------------------------
- * Project: CMSIS DSP Library
- * Title: arm_dot_prod_q7.c
- * Description: Q7 dot product
- *
- * $Date: 27. January 2017
- * $Revision: V.1.5.1
- *
- * Target Processor: Cortex-M cores
- * -------------------------------------------------------------------- */
-/*
- * Copyright (C) 2010-2017 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 groupMath
- */
-
-/**
- * @addtogroup dot_prod
- * @{
- */
-
-/**
- * @brief Dot product of Q7 vectors.
- * @param[in] *pSrcA points to the first input vector
- * @param[in] *pSrcB points to the second input vector
- * @param[in] blockSize number of samples in each vector
- * @param[out] *result output result returned here
- * @return none.
- *
- * <b>Scaling and Overflow Behavior:</b>
- * \par
- * The intermediate multiplications are in 1.7 x 1.7 = 2.14 format and these
- * results are added to an accumulator in 18.14 format.
- * Nonsaturating additions are used and there is no danger of wrap around as long as
- * the vectors are less than 2^18 elements long.
- * The return result is in 18.14 format.
- */
-
-void arm_dot_prod_q7(
- q7_t * pSrcA,
- q7_t * pSrcB,
- uint32_t blockSize,
- q31_t * result)
-{
- uint32_t blkCnt; /* loop counter */
-
- q31_t sum = 0; /* Temporary variables to store output */
-
-#if defined (ARM_MATH_DSP)
-
-/* Run the below code for Cortex-M4 and Cortex-M3 */
-
- q31_t input1, input2; /* Temporary variables to store input */
- q31_t inA1, inA2, inB1, inB2; /* Temporary variables to store input */
-
-
-
- /*loop Unrolling */
- blkCnt = blockSize >> 2U;
-
- /* First part of the processing with loop unrolling. Compute 4 outputs at a time.
- ** a second loop below computes the remaining 1 to 3 samples. */
- while (blkCnt > 0U)
- {
- /* read 4 samples at a time from sourceA */
- input1 = *__SIMD32(pSrcA)++;
- /* read 4 samples at a time from sourceB */
- input2 = *__SIMD32(pSrcB)++;
-
- /* extract two q7_t samples to q15_t samples */
- inA1 = __SXTB16(__ROR(input1, 8));
- /* extract reminaing two samples */
- inA2 = __SXTB16(input1);
- /* extract two q7_t samples to q15_t samples */
- inB1 = __SXTB16(__ROR(input2, 8));
- /* extract reminaing two samples */
- inB2 = __SXTB16(input2);
-
- /* multiply and accumulate two samples at a time */
- sum = __SMLAD(inA1, inB1, sum);
- sum = __SMLAD(inA2, inB2, sum);
-
- /* Decrement the loop counter */
- blkCnt--;
- }
-
- /* 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]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
- /* Dot product and then store the results in a temporary buffer. */
- sum = __SMLAD(*pSrcA++, *pSrcB++, sum);
-
- /* Decrement the loop counter */
- blkCnt--;
- }
-
-#else
-
- /* Run the below code for Cortex-M0 */
-
-
-
- /* Initialize blkCnt with number of samples */
- blkCnt = blockSize;
-
- while (blkCnt > 0U)
- {
- /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
- /* Dot product and then store the results in a temporary buffer. */
- sum += (q31_t) ((q15_t) * pSrcA++ * *pSrcB++);
-
- /* Decrement the loop counter */
- blkCnt--;
- }
-
-#endif /* #if defined (ARM_MATH_DSP) */
-
-
- /* Store the result in the destination buffer in 18.14 format */
- *result = sum;
-}
-
-/**
- * @} end of dot_prod group
- */