/*
* Copyright (C) 2010-2018 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.
*/
/* ----------------------------------------------------------------------
* Project: CMSIS NN Library
* Title: arm_nn_mat_mult_kernel_q7_q15.c
* Description: Matrix-multiplication function for convolution
*
* $Date: 17. January 2018
* $Revision: V.1.0.0
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
#include "arm_math.h"
#include "arm_nnfunctions.h"
/**
* @brief Matrix-multiplication function for convolution
* @param[in] pA pointer to operand A
* @param[in] pInBuffer pointer to operand B, always conssists of 2 vectors
* @param[in] ch_im_out numRow of A
* @param[in] numCol_A numCol of A
* @param[in] bias_shift amount of left-shift for bias
* @param[in] out_shift amount of right-shift for output
* @param[in] bias the bias
* @param[in,out] pOut pointer to output
* @return The function returns the incremented output pointer
*
* @details
*
* This function does the matrix multiplication with weight matrix
* and 2 columns from im2col.
*/
q7_t *arm_nn_mat_mult_kernel_q7_q15(const q7_t * pA,
const q15_t * pInBuffer,
const uint16_t ch_im_out,
const uint16_t numCol_A,
const uint16_t bias_shift,
const uint16_t out_shift,
const q7_t * bias,
q7_t * pOut)
{
#if defined (ARM_MATH_DSP)
/* set up the second output pointers */
q7_t *pOut2 = pOut + ch_im_out;
const q7_t *pBias = bias;
uint16_t rowCnt = ch_im_out >> 1;
/* this loop over rows in A */
while (rowCnt)
{
/* setup pointers for B */
const q15_t *pB = pInBuffer;
const q15_t *pB2 = pB + numCol_A;
/* align the second pointer for A */
const q7_t *pA2 = pA + numCol_A;
/* init the sum with bias */
q31_t sum = ((q31_t)(*pBias) << bias_shift) + NN_ROUND(out_shift);
q31_t sum2 = ((q31_t)(*pBias++) << bias_shift) + NN_ROUND(out_shift);
q31_t sum3 = ((q31_t)(*pBias) << bias_shift) + NN_ROUND(out_shift);
q31_t sum4 = ((q31_t)(*pBias++) << bias_shift) + NN_ROUND(out_shift);
uint16_t colCnt = numCol_A >> 2;
/* accumulate over the vector */
while (colCnt)
{
q31_t inA11, inA12, inA21, inA22;
q31_t inB1 = *__SIMD32(pB)++;
q31_t inB2 = *__SIMD32(pB2)++;
pA = (q7_t *) read_and_pad((void *)pA, &inA11, &inA12);
pA2 = (q7_t *) read_and_pad((void *)pA2, &inA21, &inA22);
sum = __SMLAD(inA11, inB1, sum);
sum2 = __SMLAD(inA11, inB2, sum2);
sum3 = __SMLAD(inA21, inB1, sum3);
sum4 = __SMLAD(inA21, inB2, sum4);
inB1 = *__SIMD32(pB)++;
inB2 = *__SIMD32(pB2)++;
sum = __SMLAD(inA12, inB1, sum);
sum2 = __SMLAD(inA12, inB2, sum2);
sum3 = __SMLAD(inA22, inB1, sum3);
sum4 = __SMLAD(inA22, inB2, sum4);
colCnt--;
} /* while over colCnt */
colCnt = numCol_A & 0x3;
while (colCnt)
{
q7_t inA1 = *pA++;
q15_t inB1 = *pB++;
q7_t inA2 = *pA2++;
q15_t inB2 = *pB2++;
sum += inA1 * inB1;
sum2 += inA1 * inB2;
sum3 += inA2 * inB1;
sum4 += inA2 * inB2;
colCnt--;
} /* while over colCnt */
*pOut++ = (q7_t) __SSAT((sum >> out_shift), 8);
*pOut++ = (q7_t) __SSAT((sum3 >> out_shift), 8);
*pOut2++ = (q7_t) __SSAT((sum2 >> out_shift), 8);
*pOut2++ = (q7_t) __SSAT((sum4 >> out_shift), 8);
/* skip the row computed with A2 */
pA += numCol_A;
rowCnt--;
} /* for over ch_im_out */
/* compute left-over row if any */
if (ch_im_out & 0x1)
{
/* setup pointers for B */
const q15_t *pB = pInBuffer;
const q15_t *pB2 = pB + numCol_A;
/* load the bias */
q31_t sum = ((q31_t)(*pBias) << bias_shift) + NN_ROUND(out_shift);
q31_t sum2 = ((q31_t)(*pBias++) << bias_shift) + NN_ROUND(out_shift);
uint16_t colCnt = numCol_A >> 2;
while (colCnt)
{
q31_t inA11, inA12;
q31_t inB1 = *__SIMD32(pB)++;
q31_t inB2 = *__SIMD32(pB2)++;
pA = (q7_t *) read_and_pad((void *)pA, &inA11, &inA12);
sum = __SMLAD(inA11, inB1, sum);
sum2 = __SMLAD(inA11, inB2, sum2);
inB1 = *__SIMD32(pB)++;
inB2 = *__SIMD32(pB2)++;
sum = __SMLAD(inA12, inB1, sum);
sum2 = __SMLAD(inA12, inB2, sum2);
colCnt--;
}
colCnt = numCol_A & 0x3;
while (colCnt)
{
q7_t inA1 = *pA++;
q15_t inB1 = *pB++;
q15_t inB2 = *pB2++;
sum += inA1 * inB1;
sum2 += inA1 * inB2;
colCnt--;
}
*pOut++ = (q7_t) __SSAT((sum >> out_shift), 8);
*pOut2++ = (q7_t) __SSAT((sum2 >> out_shift), 8);
}
pOut += ch_im_out;
/* return the new output pointer with offset */
return pOut;
#else
/* To be completed */
return NULL;
#endif /* ARM_MATH_DSP */
}