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-rw-r--r--fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_f32.c123
1 files changed, 0 insertions, 123 deletions
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_f32.c
deleted file mode 100644
index 6c7aae1..0000000
--- a/fw/hid-dials/Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_f32.c
+++ /dev/null
@@ -1,123 +0,0 @@
-/* ----------------------------------------------------------------------
- * Project: CMSIS DSP Library
- * Title: arm_dot_prod_f32.c
- * Description: Floating-point 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
- */
-
-/**
- * @defgroup dot_prod Vector Dot Product
- *
- * Computes the dot product of two vectors.
- * The vectors are multiplied element-by-element and then summed.
- *
- * <pre>
- * sum = pSrcA[0]*pSrcB[0] + pSrcA[1]*pSrcB[1] + ... + pSrcA[blockSize-1]*pSrcB[blockSize-1]
- * </pre>
- *
- * There are separate functions for floating-point, Q7, Q15, and Q31 data types.
- */
-
-/**
- * @addtogroup dot_prod
- * @{
- */
-
-/**
- * @brief Dot product of floating-point 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.
- */
-
-
-void arm_dot_prod_f32(
- float32_t * pSrcA,
- float32_t * pSrcB,
- uint32_t blockSize,
- float32_t * result)
-{
- float32_t sum = 0.0f; /* Temporary result storage */
- uint32_t blkCnt; /* loop counter */
-
-
-#if defined (ARM_MATH_DSP)
-
-/* Run the below code for Cortex-M4 and Cortex-M3 */
- /*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)
- {
- /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
- /* Calculate dot product and then store the result in a temporary buffer */
- sum += (*pSrcA++) * (*pSrcB++);
- sum += (*pSrcA++) * (*pSrcB++);
- sum += (*pSrcA++) * (*pSrcB++);
- sum += (*pSrcA++) * (*pSrcB++);
-
- /* 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;
-
-#else
-
- /* Run the below code for Cortex-M0 */
-
- /* Initialize blkCnt with number of samples */
- blkCnt = blockSize;
-
-#endif /* #if defined (ARM_MATH_DSP) */
-
-
- while (blkCnt > 0U)
- {
- /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
- /* Calculate dot product and then store the result in a temporary buffer. */
- sum += (*pSrcA++) * (*pSrcB++);
-
- /* Decrement the loop counter */
- blkCnt--;
- }
- /* Store the result back in the destination buffer */
- *result = sum;
-}
-
-/**
- * @} end of dot_prod group
- */