| /* |
| * 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_nonsquare(const q7_t * Im_in, // input image |
| const uint16_t dim_im_in_x, // input image dimention x |
| const uint16_t dim_im_in_y, // input image dimention y |
| 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_x, // filter kernel size x |
| const uint16_t dim_kernel_y, // filter kernel size y |
| const uint16_t padding_x, // padding sizes x |
| const uint16_t padding_y, // padding sizes y |
| const uint16_t stride_x, // stride x |
| const uint16_t stride_y, // stride y |
| 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_x, // output image dimension x |
| const uint16_t dim_im_out_y, // output image dimension y |
| 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_y; i_out_y++) |
| { |
| for (i_out_x = 0; i_out_x < dim_im_out_x; 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_y; i_ker_y++) |
| { |
| for (i_ker_x = 0; i_ker_x < dim_kernel_x; i_ker_x++) |
| { |
| int in_row = stride_y * i_out_y + i_ker_y - padding_y; |
| int in_col = stride_x * i_out_x + i_ker_x - padding_x; |
| if (in_row >= 0 && in_col >= 0 && in_row < dim_im_in_y && in_col < dim_im_in_x) |
| { |
| conv_out += Im_in[(in_row * dim_im_in_x + in_col) * ch_im_in + i_ch_out] * |
| wt[(i_ker_y * dim_kernel_x + i_ker_x) * ch_im_out + i_ch_out]; |
| } |
| } |
| } |
| Im_out[(i_out_y * dim_im_out_x + i_out_x) * ch_im_out + i_ch_out] = |
| (q7_t) __SSAT((conv_out >> out_shift), 8); |
| } |
| } |
| } |
| } |