| /* ---------------------------------------------------------------------- |
| * Copyright (C) 2010-2014 ARM Limited. All rights reserved. |
| * |
| * $Date: 19. March 2015 |
| * $Revision: V.1.4.5 |
| * |
| * Project: CMSIS DSP Library |
| * Title: arm_conv_partial_fast_q15.c |
| * |
| * Description: Fast Q15 Partial convolution. |
| * |
| * Target Processor: Cortex-M4/Cortex-M3 |
| * |
| * Redistribution and use in source and binary forms, with or without |
| * modification, are permitted provided that the following conditions |
| * are met: |
| * - Redistributions of source code must retain the above copyright |
| * notice, this list of conditions and the following disclaimer. |
| * - Redistributions in binary form must reproduce the above copyright |
| * notice, this list of conditions and the following disclaimer in |
| * the documentation and/or other materials provided with the |
| * distribution. |
| * - Neither the name of ARM LIMITED nor the names of its contributors |
| * may be used to endorse or promote products derived from this |
| * software without specific prior written permission. |
| * |
| * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS |
| * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT |
| * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS |
| * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE |
| * COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, |
| * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, |
| * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; |
| * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER |
| * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT |
| * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN |
| * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE |
| * POSSIBILITY OF SUCH DAMAGE. |
| * -------------------------------------------------------------------- */ |
| |
| #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 */ |
| 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. */ |
| 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 |
| */ |
