mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-17 04:41:47 +08:00
nihui
111 lines
3.8 KiB
C++
111 lines
3.8 KiB
C++
// Copyright 2019 Tencent
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// SPDX-License-Identifier: BSD-3-Clause
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#include "testutil.h"
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static int test_deconvolutiondepthwise_dynamic(int w, int h, int c, int outch, int kernel, int dilation, int stride, int pad, int bias, int group, int output_pad_right, int output_pad_bottom, int output_w, int output_h)
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{
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ncnn::Mat a = RandomMat(w, h, c);
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if (output_w > 0 && output_h > 0 && pad != -233 && pad != -234)
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{
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pad = -233;
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}
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ncnn::ParamDict pd;
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pd.set(0, 0);
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pd.set(1, 0);
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pd.set(2, dilation);
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pd.set(3, stride);
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pd.set(4, pad);
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pd.set(5, bias);
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pd.set(6, 0);
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pd.set(7, group);
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pd.set(28, 1); // dynamic weight
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int activation_type = RAND() % 5; // 0 1 2 3 4
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ncnn::Mat activation_params(2);
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activation_params[0] = RandomFloat(-1, 0); // alpha
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activation_params[1] = RandomFloat(0, 1); // beta
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pd.set(9, activation_type);
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pd.set(10, activation_params);
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pd.set(18, output_pad_right);
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pd.set(19, output_pad_bottom);
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pd.set(20, output_w);
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pd.set(21, output_h);
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std::vector<ncnn::Mat> as(bias ? 3 : 2);
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as[0] = a;
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as[1] = RandomMat(kernel, kernel, outch / group, c);
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if (bias)
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as[2] = RandomMat(outch);
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std::vector<ncnn::Mat> weights(0);
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int ret = test_layer("DeconvolutionDepthWise", pd, weights, as);
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if (ret != 0)
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{
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fprintf(stderr, "test_deconvolutiondepthwise_dynamic failed w=%d h=%d c=%d outch=%d kernel=%d dilation=%d stride=%d pad=%d bias=%d group=%d act=%d actparams=[%f,%f] output_pad_right=%d output_pad_bottom=%d output_w=%d output_h=%d\n", w, h, c, outch, kernel, dilation, stride, pad, bias, group, activation_type, activation_params[0], activation_params[1], output_pad_right, output_pad_bottom, output_w, output_h);
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}
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return ret;
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}
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static int test_deconvolutiondepthwise_0()
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{
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static const int kdsp[16][4] = {
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{1, 1, 1, 0},
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{1, 1, 2, 0},
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{2, 1, 1, 1},
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{2, 1, 2, -233},
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{3, 1, 1, 1},
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{3, 1, 2, 1},
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{3, 2, 1, 1},
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{4, 1, 1, -233},
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{4, 1, 2, -234},
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{4, 2, 1, -234},
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{5, 1, 1, 2},
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{5, 1, 2, 2},
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{5, 2, 2, 2},
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{7, 1, 1, 3},
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{7, 1, 2, 3},
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{7, 2, 1, -233},
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};
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for (int i = 0; i < 16; i++)
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{
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const int k = kdsp[i][0];
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const int d = kdsp[i][1];
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const int s = kdsp[i][2];
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const int p = kdsp[i][3];
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int ret = 0
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|| test_deconvolutiondepthwise_dynamic(15, 7, 1, 1, k, d, s, p, 1, 1, 0, 0, 0, 0)
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|| test_deconvolutiondepthwise_dynamic(15, 7, 2, 2, k, d, s, p, 0, 1, 1, 1, 7, 5)
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|| test_deconvolutiondepthwise_dynamic(15, 7, 2, 2, k, d, s, p, 1, 2, 1, 0, 0, 0)
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|| test_deconvolutiondepthwise_dynamic(15, 7, 3, 3, k, d, s, p, 0, 3, 0, 1, 0, 0)
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|| test_deconvolutiondepthwise_dynamic(15, 7, 4, 2, k, d, s, p, 1, 2, 0, 0, 7, 5)
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|| test_deconvolutiondepthwise_dynamic(15, 7, 4, 4, k, d, s, p, 0, 4, 2, 2, 0, 0)
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|| test_deconvolutiondepthwise_dynamic(15, 7, 7, 7, k, d, s, p, 1, 7, 2, 0, 0, 0)
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|| test_deconvolutiondepthwise_dynamic(15, 7, 8, 8, k, d, s, p, 0, 2, 0, 2, 7, 5)
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|| test_deconvolutiondepthwise_dynamic(15, 7, 8, 8, k, d, s, p, 1, 8, 0, 0, 0, 0)
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|| test_deconvolutiondepthwise_dynamic(15, 7, 12, 12, k, d, s, p, 0, 4, 3, 3, 0, 0)
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|| test_deconvolutiondepthwise_dynamic(15, 7, 15, 15, k, d, s, p, 1, 15, 3, 0, 7, 5)
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|| test_deconvolutiondepthwise_dynamic(15, 7, 16, 8, k, d, s, p, 0, 2, 0, 3, 0, 0)
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|| test_deconvolutiondepthwise_dynamic(15, 7, 16, 16, k, d, s, p, 1, 16, 0, 0, 0, 0);
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if (ret != 0)
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return -1;
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}
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return 0;
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}
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int main()
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{
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SRAND(7767517);
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return test_deconvolutiondepthwise_0();
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}
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