diff options
Diffstat (limited to 'fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_fast_q15.c')
| -rw-r--r-- | fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_fast_q15.c | 1494 |
1 files changed, 1494 insertions, 0 deletions
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_fast_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_fast_q15.c new file mode 100644 index 0000000..0d4486a --- /dev/null +++ b/fw/hid-dials/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_conv_partial_fast_q15.c @@ -0,0 +1,1494 @@ +/* ----------------------------------------------------------------------
+ * Project: CMSIS DSP Library
+ * Title: arm_conv_partial_fast_q15.c
+ * Description: Fast Q15 Partial convolution
+ *
+ * $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 groupFilters
+ */
+
+/**
+ * @addtogroup PartialConv
+ * @{
+ */
+
+/**
+ * @brief Partial convolution of Q15 sequences (fast version) for Cortex-M3 and Cortex-M4.
+ * @param[in] *pSrcA points to the first input sequence.
+ * @param[in] srcALen length of the first input sequence.
+ * @param[in] *pSrcB points to the second input sequence.
+ * @param[in] srcBLen length of the second input sequence.
+ * @param[out] *pDst points to the location where the output result is written.
+ * @param[in] firstIndex is the first output sample to start with.
+ * @param[in] numPoints is the number of output points to be computed.
+ * @return Returns either ARM_MATH_SUCCESS if the function completed correctly or ARM_MATH_ARGUMENT_ERROR if the requested subset is not in the range [0 srcALen+srcBLen-2].
+ *
+ * See <code>arm_conv_partial_q15()</code> for a slower implementation of this function which uses a 64-bit accumulator to avoid wrap around distortion.
+ */
+
+
+arm_status arm_conv_partial_fast_q15(
+ q15_t * pSrcA,
+ uint32_t srcALen,
+ q15_t * pSrcB,
+ uint32_t srcBLen,
+ q15_t * pDst,
+ uint32_t firstIndex,
+ uint32_t numPoints)
+{
+#ifndef UNALIGNED_SUPPORT_DISABLE
+
+ q15_t *pIn1; /* inputA pointer */
+ q15_t *pIn2; /* inputB pointer */
+ q15_t *pOut = pDst; /* output pointer */
+ q31_t sum, acc0, acc1, acc2, acc3; /* Accumulator */
+ q15_t *px; /* Intermediate inputA pointer */
+ q15_t *py; /* Intermediate inputB pointer */
+ q15_t *pSrc1, *pSrc2; /* Intermediate pointers */
+ q31_t x0, x1, x2, x3, c0;
+ uint32_t j, k, count, check, blkCnt;
+ int32_t blockSize1, blockSize2, blockSize3; /* loop counters */
+ arm_status status; /* status of Partial convolution */
+
+ /* Check for range of output samples to be calculated */
+ if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U))))
+ {
+ /* Set status as ARM_MATH_ARGUMENT_ERROR */
+ status = ARM_MATH_ARGUMENT_ERROR;
+ }
+ else
+ {
+
+ /* The algorithm implementation is based on the lengths of the inputs. */
+ /* srcB is always made to slide across srcA. */
+ /* So srcBLen is always considered as shorter or equal to srcALen */
+ if (srcALen >=srcBLen)
+ {
+ /* Initialization of inputA pointer */
+ pIn1 = pSrcA;
+
+ /* Initialization of inputB pointer */
+ pIn2 = pSrcB;
+ }
+ else
+ {
+ /* Initialization of inputA pointer */
+ pIn1 = pSrcB;
+
+ /* Initialization of inputB pointer */
+ pIn2 = pSrcA;
+
+ /* srcBLen is always considered as shorter or equal to srcALen */
+ j = srcBLen;
+ srcBLen = srcALen;
+ srcALen = j;
+ }
+
+ /* Conditions to check which loopCounter holds
+ * the first and last indices of the output samples to be calculated. */
+ check = firstIndex + numPoints;
+ blockSize3 = ((int32_t)check > (int32_t)srcALen) ? (int32_t)check - (int32_t)srcALen : 0;
+ blockSize3 = ((int32_t)firstIndex > (int32_t)srcALen - 1) ? blockSize3 - (int32_t)firstIndex + (int32_t)srcALen : blockSize3;
+ blockSize1 = (((int32_t) srcBLen - 1) - (int32_t) firstIndex);
+ blockSize1 = (blockSize1 > 0) ? ((check > (srcBLen - 1U)) ? blockSize1 :
+ (int32_t) numPoints) : 0;
+ blockSize2 = (int32_t) check - ((blockSize3 + blockSize1) +
+ (int32_t) firstIndex);
+ blockSize2 = (blockSize2 > 0) ? blockSize2 : 0;
+
+ /* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */
+ /* The function is internally
+ * divided into three stages according to the number of multiplications that has to be
+ * taken place between inputA samples and inputB samples. In the first stage of the
+ * algorithm, the multiplications increase by one for every iteration.
+ * In the second stage of the algorithm, srcBLen number of multiplications are done.
+ * In the third stage of the algorithm, the multiplications decrease by one
+ * for every iteration. */
+
+ /* Set the output pointer to point to the firstIndex
+ * of the output sample to be calculated. */
+ pOut = pDst + firstIndex;
+
+ /* --------------------------
+ * Initializations of stage1
+ * -------------------------*/
+
+ /* sum = x[0] * y[0]
+ * sum = x[0] * y[1] + x[1] * y[0]
+ * ....
+ * sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0]
+ */
+
+ /* In this stage the MAC operations are increased by 1 for every iteration.
+ The count variable holds the number of MAC operations performed.
+ Since the partial convolution starts from firstIndex
+ Number of Macs to be performed is firstIndex + 1 */
+ count = 1U + firstIndex;
+
+ /* Working pointer of inputA */
+ px = pIn1;
+
+ /* Working pointer of inputB */
+ pSrc2 = pIn2 + firstIndex;
+ py = pSrc2;
+
+ /* ------------------------
+ * Stage1 process
+ * ----------------------*/
+
+ /* For loop unrolling by 4, this stage is divided into two. */
+ /* First part of this stage computes the MAC operations less than 4 */
+ /* Second part of this stage computes the MAC operations greater than or equal to 4 */
+
+ /* The first part of the stage starts here */
+ while ((count < 4U) && (blockSize1 > 0))
+ {
+ /* Accumulator is made zero for every iteration */
+ sum = 0;
+
+ /* Loop over number of MAC operations between
+ * inputA samples and inputB samples */
+ k = count;
+
+ while (k > 0U)
+ {
+ /* Perform the multiply-accumulates */
+ sum = __SMLAD(*px++, *py--, sum);
+
+ /* Decrement the loop counter */
+ k--;
+ }
+
+ /* Store the result in the accumulator in the destination buffer. */
+ *pOut++ = (q15_t) (sum >> 15);
+
+ /* Update the inputA and inputB pointers for next MAC calculation */
+ py = ++pSrc2;
+ px = pIn1;
+
+ /* Increment the MAC count */
+ count++;
+
+ /* Decrement the loop counter */
+ blockSize1--;
+ }
+
+ /* The second part of the stage starts here */
+ /* The internal loop, over count, is unrolled by 4 */
+ /* To, read the last two inputB samples using SIMD:
+ * y[srcBLen] and y[srcBLen-1] coefficients, py is decremented by 1 */
+ py = py - 1;
+
+ while (blockSize1 > 0)
+ {
+ /* Accumulator is made zero for every iteration */
+ sum = 0;
+
+ /* Apply loop unrolling and compute 4 MACs simultaneously. */
+ k = count >> 2U;
+
+ /* First part of the processing with loop unrolling. Compute 4 MACs at a time.
+ ** a second loop below computes MACs for the remaining 1 to 3 samples. */
+ while (k > 0U)
+ {
+ /* Perform the multiply-accumulates */
+ /* x[0], x[1] are multiplied with y[srcBLen - 1], y[srcBLen - 2] respectively */
+ sum = __SMLADX(*__SIMD32(px)++, *__SIMD32(py)--, sum);
+ /* x[2], x[3] are multiplied with y[srcBLen - 3], y[srcBLen - 4] respectively */
+ sum = __SMLADX(*__SIMD32(px)++, *__SIMD32(py)--, sum);
+
+ /* Decrement the loop counter */
+ k--;
+ }
+
+ /* For the next MAC operations, the pointer py is used without SIMD
+ * So, py is incremented by 1 */
+ py = py + 1U;
+
+ /* If the count is not a multiple of 4, compute any remaining MACs here.
+ ** No loop unrolling is used. */
+ k = count % 0x4U;
+
+ while (k > 0U)
+ {
+ /* Perform the multiply-accumulates */
+ sum = __SMLAD(*px++, *py--, sum);
+
+ /* Decrement the loop counter */
+ k--;
+ }
+
+ /* Store the result in the accumulator in the destination buffer. */
+ *pOut++ = (q15_t) (sum >> 15);
+
+ /* Update the inputA and inputB pointers for next MAC calculation */
+ py = ++pSrc2 - 1U;
+ px = pIn1;
+
+ /* Increment the MAC count */
+ count++;
+
+ /* Decrement the loop counter */
+ blockSize1--;
+ }
+
+ /* --------------------------
+ * Initializations of stage2
+ * ------------------------*/
+
+ /* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0]
+ * sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0]
+ * ....
+ * sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0]
+ */
+
+ /* Working pointer of inputA */
+ if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
+ {
+ px = pIn1 + firstIndex - srcBLen + 1;
+ }
+ else
+ {
+ px = pIn1;
+ }
+
+ /* Working pointer of inputB */
+ pSrc2 = pIn2 + (srcBLen - 1U);
+ py = pSrc2;
+
+ /* count is the index by which the pointer pIn1 to be incremented */
+ count = 0U;
+
+
+ /* --------------------
+ * Stage2 process
+ * -------------------*/
+
+ /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed.
+ * So, to loop unroll over blockSize2,
+ * srcBLen should be greater than or equal to 4 */
+ if (srcBLen >= 4U)
+ {
+ /* Loop unroll over blockSize2, by 4 */
+ blkCnt = ((uint32_t) blockSize2 >> 2U);
+
+ while (blkCnt > 0U)
+ {
+ py = py - 1U;
+
+ /* Set all accumulators to zero */
+ acc0 = 0;
+ acc1 = 0;
+ acc2 = 0;
+ acc3 = 0;
+
+
+ /* read x[0], x[1] samples */
+ x0 = *__SIMD32(px);
+ /* read x[1], x[2] samples */
+ x1 = _SIMD32_OFFSET(px+1);
+ px+= 2U;
+
+
+ /* Apply loop unrolling and compute 4 MACs simultaneously. */
+ k = srcBLen >> 2U;
+
+ /* First part of the processing with loop unrolling. Compute 4 MACs at a time.
+ ** a second loop below computes MACs for the remaining 1 to 3 samples. */
+ do
+ {
+ /* Read the last two inputB samples using SIMD:
+ * y[srcBLen - 1] and y[srcBLen - 2] */
+ c0 = *__SIMD32(py)--;
+
+ /* acc0 += x[0] * y[srcBLen - 1] + x[1] * y[srcBLen - 2] */
+ acc0 = __SMLADX(x0, c0, acc0);
+
+ /* acc1 += x[1] * y[srcBLen - 1] + x[2] * y[srcBLen - 2] */
+ acc1 = __SMLADX(x1, c0, acc1);
+
+ /* Read x[2], x[3] */
+ x2 = *__SIMD32(px);
+
+ /* Read x[3], x[4] */
+ x3 = _SIMD32_OFFSET(px+1);
+
+ /* acc2 += x[2] * y[srcBLen - 1] + x[3] * y[srcBLen - 2] */
+ acc2 = __SMLADX(x2, c0, acc2);
+
+ /* acc3 += x[3] * y[srcBLen - 1] + x[4] * y[srcBLen - 2] */
+ acc3 = __SMLADX(x3, c0, acc3);
+
+ /* Read y[srcBLen - 3] and y[srcBLen - 4] */
+ c0 = *__SIMD32(py)--;
+
+ /* acc0 += x[2] * y[srcBLen - 3] + x[3] * y[srcBLen - 4] */
+ acc0 = __SMLADX(x2, c0, acc0);
+
+ /* acc1 += x[3] * y[srcBLen - 3] + x[4] * y[srcBLen - 4] */
+ acc1 = __SMLADX(x3, c0, acc1);
+
+ /* Read x[4], x[5] */
+ x0 = _SIMD32_OFFSET(px+2);
+
+ /* Read x[5], x[6] */
+ x1 = _SIMD32_OFFSET(px+3);
+ px += 4U;
+
+ /* acc2 += x[4] * y[srcBLen - 3] + x[5] * y[srcBLen - 4] */
+ acc2 = __SMLADX(x0, c0, acc2);
+
+ /* acc3 += x[5] * y[srcBLen - 3] + x[6] * y[srcBLen - 4] */
+ acc3 = __SMLADX(x1, c0, acc3);
+
+ } while (--k);
+
+ /* For the next MAC operations, SIMD is not used
+ * So, the 16 bit pointer if inputB, py is updated */
+
+ /* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
+ ** No loop unrolling is used. */
+ k = srcBLen % 0x4U;
+
+ if (k == 1U)
+ {
+ /* Read y[srcBLen - 5] */
+ c0 = *(py+1);
+#ifdef ARM_MATH_BIG_ENDIAN
+
+ c0 = c0 << 16U;
+
+#else
+
+ c0 = c0 & 0x0000FFFF;
+
+#endif /* #ifdef ARM_MATH_BIG_ENDIAN */
+
+ /* Read x[7] */
+ x3 = *__SIMD32(px);
+ px++;
+
+ /* Perform the multiply-accumulates */
+ acc0 = __SMLAD(x0, c0, acc0);
+ acc1 = __SMLAD(x1, c0, acc1);
+ acc2 = __SMLADX(x1, c0, acc2);
+ acc3 = __SMLADX(x3, c0, acc3);
+ }
+
+ if (k == 2U)
+ {
+ /* Read y[srcBLen - 5], y[srcBLen - 6] */
+ c0 = _SIMD32_OFFSET(py);
+
+ /* Read x[7], x[8] */
+ x3 = *__SIMD32(px);
+
+ /* Read x[9] */
+ x2 = _SIMD32_OFFSET(px+1);
+ px += 2U;
+
+ /* Perform the multiply-accumulates */
+ acc0 = __SMLADX(x0, c0, acc0);
+ acc1 = __SMLADX(x1, c0, acc1);
+ acc2 = __SMLADX(x3, c0, acc2);
+ acc3 = __SMLADX(x2, c0, acc3);
+ }
+
+ if (k == 3U)
+ {
+ /* Read y[srcBLen - 5], y[srcBLen - 6] */
+ c0 = _SIMD32_OFFSET(py);
+
+ /* Read x[7], x[8] */
+ x3 = *__SIMD32(px);
+
+ /* Read x[9] */
+ x2 = _SIMD32_OFFSET(px+1);
+
+ /* Perform the multiply-accumulates */
+ acc0 = __SMLADX(x0, c0, acc0);
+ acc1 = __SMLADX(x1, c0, acc1);
+ acc2 = __SMLADX(x3, c0, acc2);
+ acc3 = __SMLADX(x2, c0, acc3);
+
+ c0 = *(py-1);
+#ifdef ARM_MATH_BIG_ENDIAN
+
+ c0 = c0 << 16U;
+#else
+
+ c0 = c0 & 0x0000FFFF;
+#endif /* #ifdef ARM_MATH_BIG_ENDIAN */
+
+ /* Read x[10] */
+ x3 = _SIMD32_OFFSET(px+2);
+ px += 3U;
+
+ /* Perform the multiply-accumulates */
+ acc0 = __SMLADX(x1, c0, acc0);
+ acc1 = __SMLAD(x2, c0, acc1);
+ acc2 = __SMLADX(x2, c0, acc2);
+ acc3 = __SMLADX(x3, c0, acc3);
+ }
+
+ /* Store the results in the accumulators in the destination buffer. */
+#ifndef ARM_MATH_BIG_ENDIAN
+
+ *__SIMD32(pOut)++ = __PKHBT(acc0 >> 15, acc1 >> 15, 16);
+ *__SIMD32(pOut)++ = __PKHBT(acc2 >> 15, acc3 >> 15, 16);
+
+#else
+
+ *__SIMD32(pOut)++ = __PKHBT(acc1 >> 15, acc0 >> 15, 16);
+ *__SIMD32(pOut)++ = __PKHBT(acc3 >> 15, acc2 >> 15, 16);
+
+#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
+
+ /* Increment the pointer pIn1 index, count by 4 */
+ count += 4U;
+
+ /* Update the inputA and inputB pointers for next MAC calculation */
+ px = pIn1 + count;
+ py = pSrc2;
+
+ /* Decrement the loop counter */
+ blkCnt--;
+ }
+
+ /* If the blockSize2 is not a multiple of 4, compute any remaining output samples here.
+ ** No loop unrolling is used. */
+ blkCnt = (uint32_t) blockSize2 % 0x4U;
+
+ while (blkCnt > 0U)
+ {
+ /* Accumulator is made zero for every iteration */
+ sum = 0;
+
+ /* Apply loop unrolling and compute 4 MACs simultaneously. */
+ k = srcBLen >> 2U;
+
+ /* First part of the processing with loop unrolling. Compute 4 MACs at a time.
+ ** a second loop below computes MACs for the remaining 1 to 3 samples. */
+ while (k > 0U)
+ {
+ /* Perform the multiply-accumulates */
+ sum += ((q31_t) * px++ * *py--);
+ sum += ((q31_t) * px++ * *py--);
+ sum += ((q31_t) * px++ * *py--);
+ sum += ((q31_t) * px++ * *py--);
+
+ /* Decrement the loop counter */
+ k--;
+ }
+
+ /* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
+ ** No loop unrolling is used. */
+ k = srcBLen % 0x4U;
+
+ while (k > 0U)
+ {
+ /* Perform the multiply-accumulates */
+ sum += ((q31_t) * px++ * *py--);
+
+ /* Decrement the loop counter */
+ k--;
+ }
+
+ /* Store the result in the accumulator in the destination buffer. */
+ *pOut++ = (q15_t) (sum >> 15);
+
+ /* Increment the pointer pIn1 index, count by 1 */
+ count++;
+
+ /* Update the inputA and inputB pointers for next MAC calculation */
+ if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
+ {
+ px = pIn1 + firstIndex - srcBLen + 1 + count;
+ }
+ else
+ {
+ px = pIn1 + count;
+ }
+ py = pSrc2;
+
+ /* Decrement the loop counter */
+ blkCnt--;
+ }
+ }
+ else
+ {
+ /* If the srcBLen is not a multiple of 4,
+ * the blockSize2 loop cannot be unrolled by 4 */
+ blkCnt = (uint32_t) blockSize2;
+
+ while (blkCnt > 0U)
+ {
+ /* Accumulator is made zero for every iteration */
+ sum = 0;
+
+ /* srcBLen number of MACS should be performed */
+ k = srcBLen;
+
+ while (k > 0U)
+ {
+ /* Perform the multiply-accumulate */
+ sum += ((q31_t) * px++ * *py--);
+
+ /* Decrement the loop counter */
+ k--;
+ }
+
+ /* Store the result in the accumulator in the destination buffer. */
+ *pOut++ = (q15_t) (sum >> 15);
+
+ /* Increment the MAC count */
+ count++;
+
+ /* Update the inputA and inputB pointers for next MAC calculation */
+ if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
+ {
+ px = pIn1 + firstIndex - srcBLen + 1 + count;
+ }
+ else
+ {
+ px = pIn1 + count;
+ }
+ py = pSrc2;
+
+ /* Decrement the loop counter */
+ blkCnt--;
+ }
+ }
+
+
+ /* --------------------------
+ * Initializations of stage3
+ * -------------------------*/
+
+ /* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1]
+ * sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2]
+ * ....
+ * sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2]
+ * sum += x[srcALen-1] * y[srcBLen-1]
+ */
+
+ /* In this stage the MAC operations are decreased by 1 for every iteration.
+ The count variable holds the number of MAC operations performed */
+ count = srcBLen - 1U;
+
+ /* Working pointer of inputA */
+ pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U);
+ px = pSrc1;
+
+ /* Working pointer of inputB */
+ pSrc2 = pIn2 + (srcBLen - 1U);
+ pIn2 = pSrc2 - 1U;
+ py = pIn2;
+
+ /* -------------------
+ * Stage3 process
+ * ------------------*/
+
+ /* For loop unrolling by 4, this stage is divided into two. */
+ /* First part of this stage computes the MAC operations greater than 4 */
+ /* Second part of this stage computes the MAC operations less than or equal to 4 */
+
+ /* The first part of the stage starts here */
+ j = count >> 2U;
+
+ while ((j > 0U) && (blockSize3 > 0))
+ {
+ /* Accumulator is made zero for every iteration */
+ sum = 0;
+
+ /* Apply loop unrolling and compute 4 MACs simultaneously. */
+ k = count >> 2U;
+
+ /* First part of the processing with loop unrolling. Compute 4 MACs at a time.
+ ** a second loop below computes MACs for the remaining 1 to 3 samples. */
+ while (k > 0U)
+ {
+ /* x[srcALen - srcBLen + 1], x[srcALen - srcBLen + 2] are multiplied
+ * with y[srcBLen - 1], y[srcBLen - 2] respectively */
+ sum = __SMLADX(*__SIMD32(px)++, *__SIMD32(py)--, sum);
+ /* x[srcALen - srcBLen + 3], x[srcALen - srcBLen + 4] are multiplied
+ * with y[srcBLen - 3], y[srcBLen - 4] respectively */
+ sum = __SMLADX(*__SIMD32(px)++, *__SIMD32(py)--, sum);
+
+ /* Decrement the loop counter */
+ k--;
+ }
+
+ /* For the next MAC operations, the pointer py is used without SIMD
+ * So, py is incremented by 1 */
+ py = py + 1U;
+
+ /* If the count is not a multiple of 4, compute any remaining MACs here.
+ ** No loop unrolling is used. */
+ k = count % 0x4U;
+
+ while (k > 0U)
+ {
+ /* sum += x[srcALen - srcBLen + 5] * y[srcBLen - 5] */
+ sum = __SMLAD(*px++, *py--, sum);
+
+ /* Decrement the loop counter */
+ k--;
+ }
+
+ /* Store the result in the accumulator in the destination buffer. */
+ *pOut++ = (q15_t) (sum >> 15);
+
+ /* Update the inputA and inputB pointers for next MAC calculation */
+ px = ++pSrc1;
+ py = pIn2;
+
+ /* Decrement the MAC count */
+ count--;
+
+ /* Decrement the loop counter */
+ blockSize3--;
+
+ j--;
+ }
+
+ /* The second part of the stage starts here */
+ /* SIMD is not used for the next MAC operations,
+ * so pointer py is updated to read only one sample at a time */
+ py = py + 1U;
+
+ while (blockSize3 > 0)
+ {
+ /* Accumulator is made zero for every iteration */
+ sum = 0;
+
+ /* Apply loop unrolling and compute 4 MACs simultaneously. */
+ k = count;
+
+ while (k > 0U)
+ {
+ /* Perform the multiply-accumulates */
+ /* sum += x[srcALen-1] * y[srcBLen-1] */
+ sum = __SMLAD(*px++, *py--, sum);
+
+ /* Decrement the loop counter */
+ k--;
+ }
+
+ /* Store the result in the accumulator in the destination buffer. */
+ *pOut++ = (q15_t) (sum >> 15);
+
+ /* Update the inputA and inputB pointers for next MAC calculation */
+ px = ++pSrc1;
+ py = pSrc2;
+
+ /* Decrement the MAC count */
+ count--;
+
+ /* Decrement the loop counter */
+ blockSize3--;
+ }
+
+ /* set status as ARM_MATH_SUCCESS */
+ status = ARM_MATH_SUCCESS;
+ }
+
+ /* Return to application */
+ return (status);
+
+#else
+
+ q15_t *pIn1; /* inputA pointer */
+ q15_t *pIn2; /* inputB pointer */
+ q15_t *pOut = pDst; /* output pointer */
+ q31_t sum, acc0, acc1, acc2, acc3; /* Accumulator */
+ q15_t *px; /* Intermediate inputA pointer */
+ q15_t *py; /* Intermediate inputB pointer */
+ q15_t *pSrc1, *pSrc2; /* Intermediate pointers */
+ q31_t x0, x1, x2, x3, c0;
+ uint32_t j, k, count, check, blkCnt;
+ int32_t blockSize1, blockSize2, blockSize3; /* loop counters */
+ arm_status status; /* status of Partial convolution */
+ q15_t a, b;
+
+ /* Check for range of output samples to be calculated */
+ if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U))))
+ {
+ /* Set status as ARM_MATH_ARGUMENT_ERROR */
+ status = ARM_MATH_ARGUMENT_ERROR;
+ }
+ else
+ {
+
+ /* The algorithm implementation is based on the lengths of the inputs. */
+ /* srcB is always made to slide across srcA. */
+ /* So srcBLen is always considered as shorter or equal to srcALen */
+ if (srcALen >=srcBLen)
+ {
+ /* Initialization of inputA pointer */
+ pIn1 = pSrcA;
+
+ /* Initialization of inputB pointer */
+ pIn2 = pSrcB;
+ }
+ else
+ {
+ /* Initialization of inputA pointer */
+ pIn1 = pSrcB;
+
+ /* Initialization of inputB pointer */
+ pIn2 = pSrcA;
+
+ /* srcBLen is always considered as shorter or equal to srcALen */
+ j = srcBLen;
+ srcBLen = srcALen;
+ srcALen = j;
+ }
+
+ /* Conditions to check which loopCounter holds
+ * the first and last indices of the output samples to be calculated. */
+ check = firstIndex + numPoints;
+ blockSize3 = ((int32_t)check > (int32_t)srcALen) ? (int32_t)check - (int32_t)srcALen : 0;
+ blockSize3 = ((int32_t)firstIndex > (int32_t)srcALen - 1) ? blockSize3 - (int32_t)firstIndex + (int32_t)srcALen : blockSize3;
+ blockSize1 = ((int32_t) srcBLen - 1) - (int32_t) firstIndex;
+ blockSize1 = (blockSize1 > 0) ? ((check > (srcBLen - 1U)) ? blockSize1 :
+ (int32_t) numPoints) : 0;
+ blockSize2 = ((int32_t) check - blockSize3) -
+ (blockSize1 + (int32_t) firstIndex);
+ blockSize2 = (blockSize2 > 0) ? blockSize2 : 0;
+
+ /* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */
+ /* The function is internally
+ * divided into three stages according to the number of multiplications that has to be
+ * taken place between inputA samples and inputB samples. In the first stage of the
+ * algorithm, the multiplications increase by one for every iteration.
+ * In the second stage of the algorithm, srcBLen number of multiplications are done.
+ * In the third stage of the algorithm, the multiplications decrease by one
+ * for every iteration. */
+
+ /* Set the output pointer to point to the firstIndex
+ * of the output sample to be calculated. */
+ pOut = pDst + firstIndex;
+
+ /* --------------------------
+ * Initializations of stage1
+ * -------------------------*/
+
+ /* sum = x[0] * y[0]
+ * sum = x[0] * y[1] + x[1] * y[0]
+ * ....
+ * sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0]
+ */
+
+ /* In this stage the MAC operations are increased by 1 for every iteration.
+ The count variable holds the number of MAC operations performed.
+ Since the partial convolution starts from firstIndex
+ Number of Macs to be performed is firstIndex + 1 */
+ count = 1U + firstIndex;
+
+ /* Working pointer of inputA */
+ px = pIn1;
+
+ /* Working pointer of inputB */
+ pSrc2 = pIn2 + firstIndex;
+ py = pSrc2;
+
+ /* ------------------------
+ * Stage1 process
+ * ----------------------*/
+
+ /* For loop unrolling by 4, this stage is divided into two. */
+ /* First part of this stage computes the MAC operations less than 4 */
+ /* Second part of this stage computes the MAC operations greater than or equal to 4 */
+
+ /* The first part of the stage starts here */
+ while ((count < 4U) && (blockSize1 > 0))
+ {
+ /* Accumulator is made zero for every iteration */
+ sum = 0;
+
+ /* Loop over number of MAC operations between
+ * inputA samples and inputB samples */
+ k = count;
+
+ while (k > 0U)
+ {
+ /* Perform the multiply-accumulates */
+ sum += ((q31_t) * px++ * *py--);
+
+ /* Decrement the loop counter */
+ k--;
+ }
+
+ /* Store the result in the accumulator in the destination buffer. */
+ *pOut++ = (q15_t) (sum >> 15);
+
+ /* Update the inputA and inputB pointers for next MAC calculation */
+ py = ++pSrc2;
+ px = pIn1;
+
+ /* Increment the MAC count */
+ count++;
+
+ /* Decrement the loop counter */
+ blockSize1--;
+ }
+
+ /* The second part of the stage starts here */
+ /* The internal loop, over count, is unrolled by 4 */
+ /* To, read the last two inputB samples using SIMD:
+ * y[srcBLen] and y[srcBLen-1] coefficients, py is decremented by 1 */
+ py = py - 1;
+
+ while (blockSize1 > 0)
+ {
+ /* Accumulator is made zero for every iteration */
+ sum = 0;
+
+ /* Apply loop unrolling and compute 4 MACs simultaneously. */
+ k = count >> 2U;
+
+ /* First part of the processing with loop unrolling. Compute 4 MACs at a time.
+ ** a second loop below computes MACs for the remaining 1 to 3 samples. */
+ py++;
+
+ while (k > 0U)
+ {
+ /* Perform the multiply-accumulates */
+ sum += ((q31_t) * px++ * *py--);
+ sum += ((q31_t) * px++ * *py--);
+ sum += ((q31_t) * px++ * *py--);
+ sum += ((q31_t) * px++ * *py--);
+
+ /* Decrement the loop counter */
+ k--;
+ }
+
+ /* If the count is not a multiple of 4, compute any remaining MACs here.
+ ** No loop unrolling is used. */
+ k = count % 0x4U;
+
+ while (k > 0U)
+ {
+ /* Perform the multiply-accumulates */
+ sum += ((q31_t) * px++ * *py--);
+
+ /* Decrement the loop counter */
+ k--;
+ }
+
+ /* Store the result in the accumulator in the destination buffer. */
+ *pOut++ = (q15_t) (sum >> 15);
+
+ /* Update the inputA and inputB pointers for next MAC calculation */
+ py = ++pSrc2 - 1U;
+ px = pIn1;
+
+ /* Increment the MAC count */
+ count++;
+
+ /* Decrement the loop counter */
+ blockSize1--;
+ }
+
+ /* --------------------------
+ * Initializations of stage2
+ * ------------------------*/
+
+ /* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0]
+ * sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0]
+ * ....
+ * sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0]
+ */
+
+ /* Working pointer of inputA */
+ if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
+ {
+ px = pIn1 + firstIndex - srcBLen + 1;
+ }
+ else
+ {
+ px = pIn1;
+ }
+
+ /* Working pointer of inputB */
+ pSrc2 = pIn2 + (srcBLen - 1U);
+ py = pSrc2;
+
+ /* count is the index by which the pointer pIn1 to be incremented */
+ count = 0U;
+
+
+ /* --------------------
+ * Stage2 process
+ * -------------------*/
+
+ /* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed.
+ * So, to loop unroll over blockSize2,
+ * srcBLen should be greater than or equal to 4 */
+ if (srcBLen >= 4U)
+ {
+ /* Loop unroll over blockSize2, by 4 */
+ blkCnt = ((uint32_t) blockSize2 >> 2U);
+
+ while (blkCnt > 0U)
+ {
+ py = py - 1U;
+
+ /* Set all accumulators to zero */
+ acc0 = 0;
+ acc1 = 0;
+ acc2 = 0;
+ acc3 = 0;
+
+ /* read x[0], x[1] samples */
+ a = *px++;
+ b = *px++;
+
+#ifndef ARM_MATH_BIG_ENDIAN
+
+ x0 = __PKHBT(a, b, 16);
+ a = *px;
+ x1 = __PKHBT(b, a, 16);
+
+#else
+
+ x0 = __PKHBT(b, a, 16);
+ a = *px;
+ x1 = __PKHBT(a, b, 16);
+
+#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
+
+ /* Apply loop unrolling and compute 4 MACs simultaneously. */
+ k = srcBLen >> 2U;
+
+ /* First part of the processing with loop unrolling. Compute 4 MACs at a time.
+ ** a second loop below computes MACs for the remaining 1 to 3 samples. */
+ do
+ {
+ /* Read the last two inputB samples using SIMD:
+ * y[srcBLen - 1] and y[srcBLen - 2] */
+ a = *py;
+ b = *(py+1);
+ py -= 2;
+
+#ifndef ARM_MATH_BIG_ENDIAN
+
+ c0 = __PKHBT(a, b, 16);
+
+#else
+
+ c0 = __PKHBT(b, a, 16);;
+
+#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
+
+ /* acc0 += x[0] * y[srcBLen - 1] + x[1] * y[srcBLen - 2] */
+ acc0 = __SMLADX(x0, c0, acc0);
+
+ /* acc1 += x[1] * y[srcBLen - 1] + x[2] * y[srcBLen - 2] */
+ acc1 = __SMLADX(x1, c0, acc1);
+
+ a = *px;
+ b = *(px + 1);
+
+#ifndef ARM_MATH_BIG_ENDIAN
+
+ x2 = __PKHBT(a, b, 16);
+ a = *(px + 2);
+ x3 = __PKHBT(b, a, 16);
+
+#else
+
+ x2 = __PKHBT(b, a, 16);
+ a = *(px + 2);
+ x3 = __PKHBT(a, b, 16);
+
+#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
+
+ /* acc2 += x[2] * y[srcBLen - 1] + x[3] * y[srcBLen - 2] */
+ acc2 = __SMLADX(x2, c0, acc2);
+
+ /* acc3 += x[3] * y[srcBLen - 1] + x[4] * y[srcBLen - 2] */
+ acc3 = __SMLADX(x3, c0, acc3);
+
+ /* Read y[srcBLen - 3] and y[srcBLen - 4] */
+ a = *py;
+ b = *(py+1);
+ py -= 2;
+
+#ifndef ARM_MATH_BIG_ENDIAN
+
+ c0 = __PKHBT(a, b, 16);
+
+#else
+
+ c0 = __PKHBT(b, a, 16);;
+
+#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
+
+ /* acc0 += x[2] * y[srcBLen - 3] + x[3] * y[srcBLen - 4] */
+ acc0 = __SMLADX(x2, c0, acc0);
+
+ /* acc1 += x[3] * y[srcBLen - 3] + x[4] * y[srcBLen - 4] */
+ acc1 = __SMLADX(x3, c0, acc1);
+
+ /* Read x[4], x[5], x[6] */
+ a = *(px + 2);
+ b = *(px + 3);
+
+#ifndef ARM_MATH_BIG_ENDIAN
+
+ x0 = __PKHBT(a, b, 16);
+ a = *(px + 4);
+ x1 = __PKHBT(b, a, 16);
+
+#else
+
+ x0 = __PKHBT(b, a, 16);
+ a = *(px + 4);
+ x1 = __PKHBT(a, b, 16);
+
+#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
+
+ px += 4U;
+
+ /* acc2 += x[4] * y[srcBLen - 3] + x[5] * y[srcBLen - 4] */
+ acc2 = __SMLADX(x0, c0, acc2);
+
+ /* acc3 += x[5] * y[srcBLen - 3] + x[6] * y[srcBLen - 4] */
+ acc3 = __SMLADX(x1, c0, acc3);
+
+ } while (--k);
+
+ /* For the next MAC operations, SIMD is not used
+ * So, the 16 bit pointer if inputB, py is updated */
+
+ /* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
+ ** No loop unrolling is used. */
+ k = srcBLen % 0x4U;
+
+ if (k == 1U)
+ {
+ /* Read y[srcBLen - 5] */
+ c0 = *(py+1);
+
+#ifdef ARM_MATH_BIG_ENDIAN
+
+ c0 = c0 << 16U;
+
+#else
+
+ c0 = c0 & 0x0000FFFF;
+
+#endif /* #ifdef ARM_MATH_BIG_ENDIAN */
+
+ /* Read x[7] */
+ a = *px;
+ b = *(px+1);
+ px++;
+
+#ifndef ARM_MATH_BIG_ENDIAN
+
+ x3 = __PKHBT(a, b, 16);
+
+#else
+
+ x3 = __PKHBT(b, a, 16);;
+
+#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
+
+
+ /* Perform the multiply-accumulates */
+ acc0 = __SMLAD(x0, c0, acc0);
+ acc1 = __SMLAD(x1, c0, acc1);
+ acc2 = __SMLADX(x1, c0, acc2);
+ acc3 = __SMLADX(x3, c0, acc3);
+ }
+
+ if (k == 2U)
+ {
+ /* Read y[srcBLen - 5], y[srcBLen - 6] */
+ a = *py;
+ b = *(py+1);
+
+#ifndef ARM_MATH_BIG_ENDIAN
+
+ c0 = __PKHBT(a, b, 16);
+
+#else
+
+ c0 = __PKHBT(b, a, 16);;
+
+#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
+
+ /* Read x[7], x[8], x[9] */
+ a = *px;
+ b = *(px + 1);
+
+#ifndef ARM_MATH_BIG_ENDIAN
+
+ x3 = __PKHBT(a, b, 16);
+ a = *(px + 2);
+ x2 = __PKHBT(b, a, 16);
+
+#else
+
+ x3 = __PKHBT(b, a, 16);
+ a = *(px + 2);
+ x2 = __PKHBT(a, b, 16);
+
+#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
+ px += 2U;
+
+ /* Perform the multiply-accumulates */
+ acc0 = __SMLADX(x0, c0, acc0);
+ acc1 = __SMLADX(x1, c0, acc1);
+ acc2 = __SMLADX(x3, c0, acc2);
+ acc3 = __SMLADX(x2, c0, acc3);
+ }
+
+ if (k == 3U)
+ {
+ /* Read y[srcBLen - 5], y[srcBLen - 6] */
+ a = *py;
+ b = *(py+1);
+
+#ifndef ARM_MATH_BIG_ENDIAN
+
+ c0 = __PKHBT(a, b, 16);
+
+#else
+
+ c0 = __PKHBT(b, a, 16);;
+
+#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
+
+ /* Read x[7], x[8], x[9] */
+ a = *px;
+ b = *(px + 1);
+
+#ifndef ARM_MATH_BIG_ENDIAN
+
+ x3 = __PKHBT(a, b, 16);
+ a = *(px + 2);
+ x2 = __PKHBT(b, a, 16);
+
+#else
+
+ x3 = __PKHBT(b, a, 16);
+ a = *(px + 2);
+ x2 = __PKHBT(a, b, 16);
+
+#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
+
+ /* Perform the multiply-accumulates */
+ acc0 = __SMLADX(x0, c0, acc0);
+ acc1 = __SMLADX(x1, c0, acc1);
+ acc2 = __SMLADX(x3, c0, acc2);
+ acc3 = __SMLADX(x2, c0, acc3);
+
+ /* Read y[srcBLen - 7] */
+ c0 = *(py-1);
+#ifdef ARM_MATH_BIG_ENDIAN
+
+ c0 = c0 << 16U;
+#else
+
+ c0 = c0 & 0x0000FFFF;
+#endif /* #ifdef ARM_MATH_BIG_ENDIAN */
+
+ /* Read x[10] */
+ a = *(px+2);
+ b = *(px+3);
+
+#ifndef ARM_MATH_BIG_ENDIAN
+
+ x3 = __PKHBT(a, b, 16);
+
+#else
+
+ x3 = __PKHBT(b, a, 16);;
+
+#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
+
+ px += 3U;
+
+ /* Perform the multiply-accumulates */
+ acc0 = __SMLADX(x1, c0, acc0);
+ acc1 = __SMLAD(x2, c0, acc1);
+ acc2 = __SMLADX(x2, c0, acc2);
+ acc3 = __SMLADX(x3, c0, acc3);
+ }
+
+ /* Store the results in the accumulators in the destination buffer. */
+ *pOut++ = (q15_t)(acc0 >> 15);
+ *pOut++ = (q15_t)(acc1 >> 15);
+ *pOut++ = (q15_t)(acc2 >> 15);
+ *pOut++ = (q15_t)(acc3 >> 15);
+
+ /* Increment the pointer pIn1 index, count by 4 */
+ count += 4U;
+
+ /* Update the inputA and inputB pointers for next MAC calculation */
+ px = pIn1 + count;
+ py = pSrc2;
+
+ /* Decrement the loop counter */
+ blkCnt--;
+ }
+
+ /* If the blockSize2 is not a multiple of 4, compute any remaining output samples here.
+ ** No loop unrolling is used. */
+ blkCnt = (uint32_t) blockSize2 % 0x4U;
+
+ while (blkCnt > 0U)
+ {
+ /* Accumulator is made zero for every iteration */
+ sum = 0;
+
+ /* Apply loop unrolling and compute 4 MACs simultaneously. */
+ k = srcBLen >> 2U;
+
+ /* First part of the processing with loop unrolling. Compute 4 MACs at a time.
+ ** a second loop below computes MACs for the remaining 1 to 3 samples. */
+ while (k > 0U)
+ {
+ /* Perform the multiply-accumulates */
+ sum += ((q31_t) * px++ * *py--);
+ sum += ((q31_t) * px++ * *py--);
+ sum += ((q31_t) * px++ * *py--);
+ sum += ((q31_t) * px++ * *py--);
+
+ /* Decrement the loop counter */
+ k--;
+ }
+
+ /* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
+ ** No loop unrolling is used. */
+ k = srcBLen % 0x4U;
+
+ while (k > 0U)
+ {
+ /* Perform the multiply-accumulates */
+ sum += ((q31_t) * px++ * *py--);
+
+ /* Decrement the loop counter */
+ k--;
+ }
+
+ /* Store the result in the accumulator in the destination buffer. */
+ *pOut++ = (q15_t) (sum >> 15);
+
+ /* Increment the pointer pIn1 index, count by 1 */
+ count++;
+
+ /* Update the inputA and inputB pointers for next MAC calculation */
+ px = pIn1 + count;
+ py = pSrc2;
+
+ /* Decrement the loop counter */
+ blkCnt--;
+ }
+ }
+ else
+ {
+ /* If the srcBLen is not a multiple of 4,
+ * the blockSize2 loop cannot be unrolled by 4 */
+ blkCnt = (uint32_t) blockSize2;
+
+ while (blkCnt > 0U)
+ {
+ /* Accumulator is made zero for every iteration */
+ sum = 0;
+
+ /* srcBLen number of MACS should be performed */
+ k = srcBLen;
+
+ while (k > 0U)
+ {
+ /* Perform the multiply-accumulate */
+ sum += ((q31_t) * px++ * *py--);
+
+ /* Decrement the loop counter */
+ k--;
+ }
+
+ /* Store the result in the accumulator in the destination buffer. */
+ *pOut++ = (q15_t) (sum >> 15);
+
+ /* Increment the MAC count */
+ count++;
+
+ /* Update the inputA and inputB pointers for next MAC calculation */
+ px = pIn1 + count;
+ py = pSrc2;
+
+ /* Decrement the loop counter */
+ blkCnt--;
+ }
+ }
+
+
+ /* --------------------------
+ * Initializations of stage3
+ * -------------------------*/
+
+ /* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1]
+ * sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2]
+ * ....
+ * sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2]
+ * sum += x[srcALen-1] * y[srcBLen-1]
+ */
+
+ /* In this stage the MAC operations are decreased by 1 for every iteration.
+ The count variable holds the number of MAC operations performed */
+ count = srcBLen - 1U;
+
+ /* Working pointer of inputA */
+ pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U);
+ px = pSrc1;
+
+ /* Working pointer of inputB */
+ pSrc2 = pIn2 + (srcBLen - 1U);
+ pIn2 = pSrc2 - 1U;
+ py = pIn2;
+
+ /* -------------------
+ * Stage3 process
+ * ------------------*/
+
+ /* For loop unrolling by 4, this stage is divided into two. */
+ /* First part of this stage computes the MAC operations greater than 4 */
+ /* Second part of this stage computes the MAC operations less than or equal to 4 */
+
+ /* The first part of the stage starts here */
+ j = count >> 2U;
+
+ while ((j > 0U) && (blockSize3 > 0))
+ {
+ /* Accumulator is made zero for every iteration */
+ sum = 0;
+
+ /* Apply loop unrolling and compute 4 MACs simultaneously. */
+ k = count >> 2U;
+
+ /* First part of the processing with loop unrolling. Compute 4 MACs at a time.
+ ** a second loop below computes MACs for the remaining 1 to 3 samples. */
+ py++;
+
+ while (k > 0U)
+ {
+ /* Perform the multiply-accumulates */
+ sum += ((q31_t) * px++ * *py--);
+ sum += ((q31_t) * px++ * *py--);
+ sum += ((q31_t) * px++ * *py--);
+ sum += ((q31_t) * px++ * *py--);
+ /* Decrement the loop counter */
+ k--;
+ }
+
+
+ /* If the count is not a multiple of 4, compute any remaining MACs here.
+ ** No loop unrolling is used. */
+ k = count % 0x4U;
+
+ while (k > 0U)
+ {
+ /* Perform the multiply-accumulates */
+ sum += ((q31_t) * px++ * *py--);
+
+ /* Decrement the loop counter */
+ k--;
+ }
+
+ /* Store the result in the accumulator in the destination buffer. */
+ *pOut++ = (q15_t) (sum >> 15);
+
+ /* Update the inputA and inputB pointers for next MAC calculation */
+ px = ++pSrc1;
+ py = pIn2;
+
+ /* Decrement the MAC count */
+ count--;
+
+ /* Decrement the loop counter */
+ blockSize3--;
+
+ j--;
+ }
+
+ /* The second part of the stage starts here */
+ /* SIMD is not used for the next MAC operations,
+ * so pointer py is updated to read only one sample at a time */
+ py = py + 1U;
+
+ while (blockSize3 > 0)
+ {
+ /* Accumulator is made zero for every iteration */
+ sum = 0;
+
+ /* Apply loop unrolling and compute 4 MACs simultaneously. */
+ k = count;
+
+ while (k > 0U)
+ {
+ /* Perform the multiply-accumulates */
+ /* sum += x[srcALen-1] * y[srcBLen-1] */
+ sum += ((q31_t) * px++ * *py--);
+
+ /* Decrement the loop counter */
+ k--;
+ }
+
+ /* Store the result in the accumulator in the destination buffer. */
+ *pOut++ = (q15_t) (sum >> 15);
+
+ /* Update the inputA and inputB pointers for next MAC calculation */
+ px = ++pSrc1;
+ py = pSrc2;
+
+ /* Decrement the MAC count */
+ count--;
+
+ /* Decrement the loop counter */
+ blockSize3--;
+ }
+
+ /* set status as ARM_MATH_SUCCESS */
+ status = ARM_MATH_SUCCESS;
+ }
+
+ /* Return to application */
+ return (status);
+
+#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
+}
+
+/**
+ * @} end of PartialConv group
+ */
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