mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-18 05:36:58 +08:00
nihui
112 lines
3.9 KiB
C++
112 lines
3.9 KiB
C++
// Copyright 2020 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_crop(const ncnn::Mat& a, int woffset, int hoffset, int doffset, int coffset, const ncnn::Mat& ref, int flag = 0)
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{
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ncnn::ParamDict pd;
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pd.set(0, woffset);
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pd.set(1, hoffset);
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pd.set(13, doffset);
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pd.set(2, coffset);
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pd.set(3, 0); // outw
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pd.set(4, 0); // outh
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pd.set(14, 0); // outd
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pd.set(5, 0); // outc
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pd.set(6, 0); // woffset2
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pd.set(7, 0); // hoffset2
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pd.set(15, 0); // doffset2
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pd.set(8, 0); // coffset2
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std::vector<ncnn::Mat> weights(0);
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std::vector<ncnn::Mat> ab(2);
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ab[0] = a;
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ab[1] = ref;
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int ret = test_layer("Crop", pd, weights, ab, 1, 0.001, flag);
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if (ret != 0)
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{
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fprintf(stderr, "test_crop failed a.dims=%d a=(%d %d %d %d) woffset=%d hoffset=%d doffset=%d coffset=%d ref.dims=%d ref=(%d %d %d %d)\n", a.dims, a.w, a.h, a.d, a.c, woffset, hoffset, doffset, coffset, ref.dims, ref.w, ref.h, ref.d, ref.c);
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}
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return ret;
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}
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static int test_crop_2(const ncnn::Mat& a, int flag = 0)
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{
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return 0
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|| test_crop(a, 0, 0, 0, 0, a, flag)
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|| test_crop(a, 0, 0, 0, 0, ncnn::Mat(27), flag)
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|| test_crop(a, 11, 0, 0, 0, ncnn::Mat(7), flag)
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|| test_crop(a, 12, 0, 0, 0, ncnn::Mat(12), flag)
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|| test_crop(a, 16, 0, 0, 0, ncnn::Mat(16), flag);
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}
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static int test_crop_5(const ncnn::Mat& a, int flag = 0)
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{
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return 0
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|| test_crop(a, 0, 0, 0, 0, a, flag)
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|| test_crop(a, 0, 12, 0, 0, ncnn::Mat(8, 7), flag)
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|| test_crop(a, 5, 0, 0, 0, ncnn::Mat(7, 27), flag)
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|| test_crop(a, 5, 11, 0, 0, ncnn::Mat(5, 12), flag)
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|| test_crop(a, 6, 12, 0, 0, ncnn::Mat(4, 16), flag)
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|| test_crop(a, 4, 8, 0, 0, ncnn::Mat(6, 7), flag);
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}
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static int test_crop_8(const ncnn::Mat& a, int flag = 0)
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{
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return 0
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|| test_crop(a, 0, 0, 0, 0, a, flag)
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|| test_crop(a, 0, 5, 0, 0, ncnn::Mat(6, 6), flag)
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|| test_crop(a, 6, 0, 0, 0, ncnn::Mat(8, 8), flag)
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|| test_crop(a, 5, 2, 0, 0, ncnn::Mat(6, 3), flag)
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|| test_crop(a, 6, 3, 0, 0, ncnn::Mat(8, 4), flag)
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|| test_crop(a, 4, 4, 0, 0, ncnn::Mat(7, 5), flag)
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|| test_crop(a, 5, 3, 0, 11, ncnn::Mat(7, 3, 7), flag)
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|| test_crop(a, 6, 4, 0, 12, ncnn::Mat(6, 4, 12), flag)
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|| test_crop(a, 4, 2, 0, 8, ncnn::Mat(5, 5, 16), flag);
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}
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static int test_crop_11(const ncnn::Mat& a, int flag = 0)
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{
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return 0
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|| test_crop(a, 0, 0, 0, 0, a, flag)
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|| test_crop(a, 0, 5, 0, 0, ncnn::Mat(6, 6, 6), flag)
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|| test_crop(a, 6, 0, 0, 0, ncnn::Mat(8, 8, 8), flag)
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|| test_crop(a, 5, 5, 5, 0, ncnn::Mat(6, 6, 6), flag)
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|| test_crop(a, 6, 6, 6, 0, ncnn::Mat(8, 8, 8), flag)
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|| test_crop(a, 4, 4, 4, 0, ncnn::Mat(5, 5, 5), flag)
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|| test_crop(a, 3, 3, 3, 11, ncnn::Mat(3, 3, 3, 7), flag)
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|| test_crop(a, 4, 4, 4, 12, ncnn::Mat(6, 6, 6, 12), flag)
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|| test_crop(a, 5, 5, 5, 8, ncnn::Mat(8, 8, 8, 16), flag);
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}
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// the 36-channel cases retain Vulkan pack4 crops; keep all 1d packing cases
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int main()
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{
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SRAND(776757);
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return 0
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|| test_crop_2(RandomMat(112))
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|| test_crop_2(RandomMat(126))
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|| test_crop_2(RandomMat(127))
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|| test_crop_5(RandomMat(20, 48), TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_crop_5(RandomMat(15, 36))
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|| test_crop_5(RandomMat(16, 33))
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|| test_crop_8(RandomMat(20, 20, 48), TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_crop_8(RandomMat(15, 15, 36))
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|| test_crop_8(RandomMat(16, 16, 33))
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|| test_crop_11(RandomMat(20, 20, 20, 48), TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_crop_11(RandomMat(15, 15, 15, 36))
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|| test_crop_11(RandomMat(16, 16, 16, 33));
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}
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