diff options
Diffstat (limited to 'hid-dials/Drivers/CMSIS/NN/NN_Lib_Tests/nn_test/Ref_Implementations/arm_convolve_HWC_q7_ref_nonsquare.c')
-rw-r--r-- | hid-dials/Drivers/CMSIS/NN/NN_Lib_Tests/nn_test/Ref_Implementations/arm_convolve_HWC_q7_ref_nonsquare.c | 78 |
1 files changed, 78 insertions, 0 deletions
diff --git a/hid-dials/Drivers/CMSIS/NN/NN_Lib_Tests/nn_test/Ref_Implementations/arm_convolve_HWC_q7_ref_nonsquare.c b/hid-dials/Drivers/CMSIS/NN/NN_Lib_Tests/nn_test/Ref_Implementations/arm_convolve_HWC_q7_ref_nonsquare.c new file mode 100644 index 0000000..e731d07 --- /dev/null +++ b/hid-dials/Drivers/CMSIS/NN/NN_Lib_Tests/nn_test/Ref_Implementations/arm_convolve_HWC_q7_ref_nonsquare.c @@ -0,0 +1,78 @@ +/*
+ * 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);
+ }
+ }
+ }
+}
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