1 /*
2 * Copyright (C) 2010-2018 Arm Limited or its affiliates. All rights reserved.
3 *
4 * SPDX-License-Identifier: Apache-2.0
5 *
6 * Licensed under the Apache License, Version 2.0 (the License); you may
7 * not use this file except in compliance with the License.
8 * You may obtain a copy of the License at
9 *
10 * www.apache.org/licenses/LICENSE-2.0
11 *
12 * Unless required by applicable law or agreed to in writing, software
13 * distributed under the License is distributed on an AS IS BASIS, WITHOUT
14 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
15 * See the License for the specific language governing permissions and
16 * limitations under the License.
17 */
18
19 #include "ref_functions.h"
20
arm_depthwise_separable_conv_HWC_q7_ref_nonsquare(const q7_t * Im_in,const uint16_t dim_im_in_x,const uint16_t dim_im_in_y,const uint16_t ch_im_in,const q7_t * wt,const uint16_t ch_im_out,const uint16_t dim_kernel_x,const uint16_t dim_kernel_y,const uint16_t padding_x,const uint16_t padding_y,const uint16_t stride_x,const uint16_t stride_y,const q7_t * bias,const uint16_t bias_shift,const uint16_t out_shift,q7_t * Im_out,const uint16_t dim_im_out_x,const uint16_t dim_im_out_y,q15_t * bufferA,q7_t * bufferB)21 void arm_depthwise_separable_conv_HWC_q7_ref_nonsquare(const q7_t * Im_in, // input image
22 const uint16_t dim_im_in_x, // input image dimention x
23 const uint16_t dim_im_in_y, // input image dimention y
24 const uint16_t ch_im_in, // number of input image channels
25 const q7_t * wt, // kernel weights
26 const uint16_t ch_im_out, // number of filters, i.e., output image channels
27 const uint16_t dim_kernel_x, // filter kernel size x
28 const uint16_t dim_kernel_y, // filter kernel size y
29 const uint16_t padding_x, // padding sizes x
30 const uint16_t padding_y, // padding sizes y
31 const uint16_t stride_x, // stride x
32 const uint16_t stride_y, // stride y
33 const q7_t * bias, // bias
34 const uint16_t bias_shift, // amount of left-shift for bias
35 const uint16_t out_shift, // amount of right-shift for output
36 q7_t * Im_out, // output image
37 const uint16_t dim_im_out_x, // output image dimension x
38 const uint16_t dim_im_out_y, // output image dimension y
39 q15_t * bufferA, //buffer space for input
40 q7_t * bufferB //buffer space for output
41 )
42 {
43 int i_out_y, i_out_x, i_ch_out;
44 int i_ker_y, i_ker_x;
45 for (i_out_y = 0; i_out_y < dim_im_out_y; i_out_y++)
46 {
47 for (i_out_x = 0; i_out_x < dim_im_out_x; i_out_x++)
48 {
49 for (i_ch_out = 0; i_ch_out < ch_im_out; i_ch_out++)
50 {
51 // for each output
52 #ifndef ARM_NN_TRUNCATE
53 int conv_out = (bias[i_ch_out] << bias_shift) + (0x1 << (out_shift - 1));
54 #else
55 int conv_out = bias[i_ch_out] << bias_shift;
56 #endif
57 for (i_ker_y = 0; i_ker_y < dim_kernel_y; i_ker_y++)
58 {
59 for (i_ker_x = 0; i_ker_x < dim_kernel_x; i_ker_x++)
60 {
61 int in_row = stride_y * i_out_y + i_ker_y - padding_y;
62 int in_col = stride_x * i_out_x + i_ker_x - padding_x;
63 if (in_row >= 0 && in_col >= 0 && in_row < dim_im_in_y && in_col < dim_im_in_x)
64 {
65 conv_out += Im_in[(in_row * dim_im_in_x + in_col) * ch_im_in + i_ch_out] *
66 wt[(i_ker_y * dim_kernel_x + i_ker_x) * ch_im_out + i_ch_out];
67 }
68 }
69 }
70 Im_out[(i_out_y * dim_im_out_x + i_out_x) * ch_im_out + i_ch_out] =
71 (q7_t) __SSAT((conv_out >> out_shift), 8);
72 }
73 }
74 }
75 }
76