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path: root/fw/hid-dials/Drivers/CMSIS/NN/NN_Lib_Tests/nn_test/Ref_Implementations/arm_convolve_HWC_q7_ref_nonsquare.c
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Diffstat (limited to 'fw/hid-dials/Drivers/CMSIS/NN/NN_Lib_Tests/nn_test/Ref_Implementations/arm_convolve_HWC_q7_ref_nonsquare.c')
-rw-r--r--fw/hid-dials/Drivers/CMSIS/NN/NN_Lib_Tests/nn_test/Ref_Implementations/arm_convolve_HWC_q7_ref_nonsquare.c78
1 files changed, 0 insertions, 78 deletions
diff --git a/fw/hid-dials/Drivers/CMSIS/NN/NN_Lib_Tests/nn_test/Ref_Implementations/arm_convolve_HWC_q7_ref_nonsquare.c b/fw/hid-dials/Drivers/CMSIS/NN/NN_Lib_Tests/nn_test/Ref_Implementations/arm_convolve_HWC_q7_ref_nonsquare.c
deleted file mode 100644
index e731d07..0000000
--- a/fw/hid-dials/Drivers/CMSIS/NN/NN_Lib_Tests/nn_test/Ref_Implementations/arm_convolve_HWC_q7_ref_nonsquare.c
+++ /dev/null
@@ -1,78 +0,0 @@
-/*
- * 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_convolve_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, const uint16_t out_shift, 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, j, k, l, m, n;
- int conv_out;
- int in_row, in_col;
-
- for (i = 0; i < ch_im_out; i++)
- {
- for (j = 0; j < dim_im_out_y; j++)
- {
- for (k = 0; k < dim_im_out_x; k++)
- {
-#ifndef ARM_NN_TRUNCATE
- conv_out = ((q31_t) (bias[i]) << bias_shift) + (0x1 << (out_shift - 1));
-#else
- conv_out = bias[i] << bias_shift;
-#endif
- for (m = 0; m < dim_kernel_y; m++)
- {
- for (n = 0; n < dim_kernel_x; n++)
- {
- // if-for implementation
- in_row = stride_y * j + m - padding_y;
- in_col = stride_x * k + n - padding_x;
- if (in_row >= 0 && in_col >= 0 && in_row < dim_im_in_y && in_col < dim_im_in_x)
- {
- for (l = 0; l < ch_im_in; l++)
- {
- conv_out += Im_in[(in_row * dim_im_in_x + in_col) * ch_im_in + l] *
- wt[i * ch_im_in * dim_kernel_y * dim_kernel_x + (m * dim_kernel_x + n) * ch_im_in +
- l];
- }
- }
- }
- }
- Im_out[i + (j * dim_im_out_x + k) * ch_im_out] = (q7_t) __SSAT((conv_out >> out_shift), 8);
- }
- }
- }
-}