From 6ab94e0b318884bbcb95e2ea3835f951502e1d99 Mon Sep 17 00:00:00 2001 From: jaseg Date: Wed, 14 Oct 2020 12:47:28 +0200 Subject: Move firmware into subdirectory --- .../arm_fully_connected_mat_q7_vec_q15.c | 199 +++++++++++++++++++++ 1 file changed, 199 insertions(+) create mode 100644 fw/cdc-dials/Drivers/CMSIS/NN/Source/FullyConnectedFunctions/arm_fully_connected_mat_q7_vec_q15.c (limited to 'fw/cdc-dials/Drivers/CMSIS/NN/Source/FullyConnectedFunctions/arm_fully_connected_mat_q7_vec_q15.c') diff --git a/fw/cdc-dials/Drivers/CMSIS/NN/Source/FullyConnectedFunctions/arm_fully_connected_mat_q7_vec_q15.c b/fw/cdc-dials/Drivers/CMSIS/NN/Source/FullyConnectedFunctions/arm_fully_connected_mat_q7_vec_q15.c new file mode 100644 index 0000000..bb9a091 --- /dev/null +++ b/fw/cdc-dials/Drivers/CMSIS/NN/Source/FullyConnectedFunctions/arm_fully_connected_mat_q7_vec_q15.c @@ -0,0 +1,199 @@ +/* + * 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_fully_connected_mat_q7_vec_q15.c + * Description: Mixed Q15-Q7 fully-connected layer function + * + * $Date: 17. January 2018 + * $Revision: V.1.0.0 + * + * Target Processor: Cortex-M cores + * + * -------------------------------------------------------------------- */ + +#include "arm_math.h" +#include "arm_nnfunctions.h" + +/** + * @ingroup groupNN + */ + +/** + * @addtogroup FC + * @{ + */ + + /** + * @brief Mixed Q15-Q7 fully-connected layer function + * @param[in] pV pointer to input vector + * @param[in] pM pointer to matrix weights + * @param[in] dim_vec length of the vector + * @param[in] num_of_rows number of rows in weight matrix + * @param[in] bias_shift amount of left-shift for bias + * @param[in] out_shift amount of right-shift for output + * @param[in] bias pointer to bias + * @param[in,out] pOut pointer to output vector + * @param[in,out] vec_buffer pointer to buffer space for input + * @return The function returns ARM_MATH_SUCCESS + * + * @details + * + * Buffer size: + * + * vec_buffer size: 0 + * + * Q7_Q15 version of the fully connected layer + * + * Weights are in q7_t and Activations are in q15_t + * + */ + +arm_status +arm_fully_connected_mat_q7_vec_q15(const q15_t * pV, + const q7_t * pM, + const uint16_t dim_vec, + const uint16_t num_of_rows, + const uint16_t bias_shift, + const uint16_t out_shift, + const q7_t * bias, + q15_t * pOut, + q15_t * vec_buffer) +{ + +#if defined (ARM_MATH_DSP) + /* Run the following code for Cortex-M4 and Cortex-M7 */ + + const q7_t *pB = pM; + const q7_t *pB2; + q15_t *pO = pOut; + const q7_t *pBias = bias; + const q15_t *pA = pV; + + uint16_t rowCnt = num_of_rows >> 1; + + while (rowCnt) + { + 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 = dim_vec >> 2; + + pA = pV; + pB2 = pB + dim_vec; + + while (colCnt) + { + q31_t inV, inM11, inM12, inM21, inM22; + pB = (q7_t *) read_and_pad((void *)pB, &inM11, &inM12); + pB2 = (q7_t *) read_and_pad((void *)pB2, &inM21, &inM22); + + inV = *__SIMD32(pA)++; + + sum = __SMLAD(inV, inM11, sum); + sum2 = __SMLAD(inV, inM21, sum2); + + inV = *__SIMD32(pA)++; + + sum = __SMLAD(inV, inM12, sum); + sum2 = __SMLAD(inV, inM22, sum2); + + colCnt--; + } + colCnt = dim_vec & 0x3; + while (colCnt) + { + q15_t inV = *pA++; + q7_t inM = *pB++; + q7_t inM2 = *pB2++; + + sum += inV * inM; + sum2 += inV * inM2; + colCnt--; + } /* while over colCnt */ + *pO++ = (q15_t) (__SSAT((sum >> out_shift), 16)); + *pO++ = (q15_t) (__SSAT((sum2 >> out_shift), 16)); + + /*adjust the pointers and counters */ + pB += dim_vec; + rowCnt--; + } + + /* left-over part of the rows */ + rowCnt = num_of_rows & 0x1; + + while (rowCnt) + { + q31_t sum = ((q31_t)(*pBias++) << bias_shift) + NN_ROUND(out_shift); + uint16_t colCnt = dim_vec >> 2; + + pA = pV; + + while (colCnt) + { + q31_t inV1, inV2, inM11, inM12; + + pB = (q7_t *) read_and_pad((void *)pB, &inM11, &inM12); + + inV1 = *__SIMD32(pA)++; + sum = __SMLAD(inV1, inM11, sum); + + inV2 = *__SIMD32(pA)++; + sum = __SMLAD(inV2, inM12, sum); + + colCnt--; + } + + /* left-over of the vector */ + colCnt = dim_vec & 0x3; + while (colCnt) + { + q15_t inV = *pA++; + q7_t inM = *pB++; + sum += inV * inM; + colCnt--; + } + + *pO++ = (q15_t) (__SSAT((sum >> out_shift), 16)); + + rowCnt--; + } + +#else + int i, j; + /* Run the following code as reference implementation for Cortex-M0 and Cortex-M3 */ + for (i = 0; i < num_of_rows; i++) + { + int ip_out = ((q31_t)(bias[i]) << bias_shift) + NN_ROUND(out_shift); + for (j = 0; j < dim_vec; j++) + { + ip_out += pV[j] * pM[i * dim_vec + j]; + } + pOut[i] = (q15_t) __SSAT((ip_out >> out_shift), 16); + } + +#endif /* ARM_MATH_DSP */ + + /* Return to ARM_MATH_SUCCESS */ + return (ARM_MATH_SUCCESS); + +} + +/** + * @} end of FC group + */ -- cgit