mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-22 16:55:13 +08:00
nihui
556b79ce4d
* create layer decoupled * no more virtual public * allow build test with shared library * decouple cpu vulkan * drop old scripts
122 lines
4.1 KiB
C++
122 lines
4.1 KiB
C++
// Tencent is pleased to support the open source community by making ncnn available.
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//
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// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
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//
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// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
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// in compliance with the License. You may obtain a copy of the License at
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//
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// https://opensource.org/licenses/BSD-3-Clause
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//
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// Unless required by applicable law or agreed to in writing, software distributed
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// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
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// CONDITIONS OF ANY KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations under the License.
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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)
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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);
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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)
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{
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return 0
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|| test_crop(a, 0, 0, 0, 0, a)
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|| test_crop(a, 0, 0, 0, 0, ncnn::Mat(27))
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|| test_crop(a, 11, 0, 0, 0, ncnn::Mat(7))
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|| test_crop(a, 12, 0, 0, 0, ncnn::Mat(12))
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|| test_crop(a, 16, 0, 0, 0, ncnn::Mat(16));
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}
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static int test_crop_5(const ncnn::Mat& a)
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{
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return 0
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|| test_crop(a, 0, 0, 0, 0, a)
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|| test_crop(a, 0, 12, 0, 0, ncnn::Mat(8, 7))
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|| test_crop(a, 5, 0, 0, 0, ncnn::Mat(7, 27))
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|| test_crop(a, 5, 11, 0, 0, ncnn::Mat(5, 12))
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|| test_crop(a, 6, 12, 0, 0, ncnn::Mat(4, 16))
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|| test_crop(a, 4, 8, 0, 0, ncnn::Mat(6, 7));
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}
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static int test_crop_8(const ncnn::Mat& a)
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{
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return 0
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|| test_crop(a, 0, 0, 0, 0, a)
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|| test_crop(a, 0, 5, 0, 0, ncnn::Mat(6, 6))
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|| test_crop(a, 6, 0, 0, 0, ncnn::Mat(8, 8))
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|| test_crop(a, 5, 2, 0, 0, ncnn::Mat(6, 3))
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|| test_crop(a, 6, 3, 0, 0, ncnn::Mat(8, 4))
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|| test_crop(a, 4, 4, 0, 0, ncnn::Mat(7, 5))
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|| test_crop(a, 5, 3, 0, 11, ncnn::Mat(7, 3, 7))
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|| test_crop(a, 6, 4, 0, 12, ncnn::Mat(6, 4, 12))
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|| test_crop(a, 4, 2, 0, 8, ncnn::Mat(5, 5, 16));
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}
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static int test_crop_11(const ncnn::Mat& a)
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{
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return 0
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|| test_crop(a, 0, 0, 0, 0, a)
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|| test_crop(a, 0, 5, 0, 0, ncnn::Mat(6, 6, 6))
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|| test_crop(a, 6, 0, 0, 0, ncnn::Mat(8, 8, 8))
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|| test_crop(a, 5, 5, 5, 0, ncnn::Mat(6, 6, 6))
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|| test_crop(a, 6, 6, 6, 0, ncnn::Mat(8, 8, 8))
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|| test_crop(a, 4, 4, 4, 0, ncnn::Mat(5, 5, 5))
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|| test_crop(a, 3, 3, 3, 11, ncnn::Mat(3, 3, 3, 7))
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|| test_crop(a, 4, 4, 4, 12, ncnn::Mat(6, 6, 6, 12))
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|| test_crop(a, 5, 5, 5, 8, ncnn::Mat(8, 8, 8, 16));
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}
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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))
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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))
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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))
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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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