/* * 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. */ #include "ref_functions.h" void arm_depthwise_separable_conv_HWC_q7_ref(const q7_t * Im_in, // input image const uint16_t dim_im_in, // input image dimention const uint16_t ch_im_in, // number of input image channels const q7_t * wt, // kernel weights const uint16_t ch_im_out, // number of filters, i.e., output image channels const uint16_t dim_kernel, // filter kernel size const uint16_t padding, // padding sizes const uint16_t stride, // stride const q7_t * bias, // bias const uint16_t bias_shift, // amount of left-shift for bias const uint16_t out_shift, // amount of right-shift for output q7_t * Im_out, // output image const uint16_t dim_im_out, // output image dimension q15_t * bufferA, //buffer space for input q7_t * bufferB //buffer space for output ) { int i_out_y, i_out_x, i_ch_out; int i_ker_y, i_ker_x; for (i_out_y = 0; i_out_y < dim_im_out; i_out_y++) { for (i_out_x = 0; i_out_x < dim_im_out; i_out_x++) { for (i_ch_out = 0; i_ch_out < ch_im_out; i_ch_out++) { // for each output #ifndef ARM_NN_TRUNCATE int conv_out = (bias[i_ch_out] << bias_shift) + (0x1 << (out_shift - 1)); #else int conv_out = bias[i_ch_out] << bias_shift; #endif for (i_ker_y = 0; i_ker_y < dim_kernel; i_ker_y++) { for (i_ker_x = 0; i_ker_x < dim_kernel; i_ker_x++) { int in_row = stride * i_out_y + i_ker_y - padding; int in_col = stride * i_out_x + i_ker_x - padding; if (in_row >= 0 && in_col >= 0 && in_row < dim_im_in && in_col < dim_im_in) { conv_out += Im_in[(in_row * dim_im_in + in_col) * ch_im_in + i_ch_out] * wt[(i_ker_y * dim_kernel + i_ker_x) * ch_im_out + i_ch_out]; } } } Im_out[(i_out_y * dim_im_out + i_out_x) * ch_im_out + i_ch_out] = (q7_t) __SSAT((conv_out >> out_shift), 8); } } } }