- // Tencent is pleased to support the open source community by making ncnn available.
- //
- // Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
- //
- // Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
- // in compliance with the License. You may obtain a copy of the License at
- //
- // https://opensource.org/licenses/BSD-3-Clause
- //
- // 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 "layer/crop.h"
- #include "testutil.h"
-
- static int test_crop(const ncnn::Mat& a, int woffset, int hoffset, int coffset, int outw, int outh, int outc, int woffset2, int hoffset2, int coffset2)
- {
- ncnn::ParamDict pd;
- pd.set(0, woffset); // woffset
- pd.set(1, hoffset); // hoffset
- pd.set(2, coffset); // coffset
- pd.set(3, outw); // outw
- pd.set(4, outh); // outh
- pd.set(5, outc); // outc
- pd.set(6, woffset2); // woffset2
- pd.set(7, hoffset2); // hoffset2
- pd.set(8, coffset2); // coffset2
-
- std::vector<ncnn::Mat> weights(0);
-
- int ret = test_layer<ncnn::Crop>("Crop", pd, weights, a);
- if (ret != 0)
- {
- fprintf(stderr, "test_crop failed a.dims=%d a=(%d %d %d) woffset=%d hoffset=%d coffset=%d outw=%d outh=%d outc=%d woffset2=%d hoffset2=%d coffset2=%d\n", a.dims, a.w, a.h, a.c, woffset, hoffset, coffset, outw, outh, outc, woffset2, hoffset2, coffset2);
- }
-
- return ret;
- }
-
- static ncnn::Mat IntArrayMat(int a0)
- {
- ncnn::Mat m(1);
- int* p = m;
- p[0] = a0;
- return m;
- }
-
- static ncnn::Mat IntArrayMat(int a0, int a1)
- {
- ncnn::Mat m(2);
- int* p = m;
- p[0] = a0;
- p[1] = a1;
- return m;
- }
-
- static ncnn::Mat IntArrayMat(int a0, int a1, int a2)
- {
- ncnn::Mat m(3);
- int* p = m;
- p[0] = a0;
- p[1] = a1;
- p[2] = a2;
- return m;
- }
-
- static void print_int_array(const ncnn::Mat& a)
- {
- const int* pa = a;
-
- fprintf(stderr, "[");
- for (int i = 0; i < a.w; i++)
- {
- fprintf(stderr, " %d", pa[i]);
- }
- fprintf(stderr, " ]");
- }
-
- static int test_crop(const ncnn::Mat& a, const ncnn::Mat& starts, const ncnn::Mat& ends, const ncnn::Mat& axes)
- {
- ncnn::ParamDict pd;
- pd.set(9, starts); // starts
- pd.set(10, ends); // ends
- pd.set(11, axes); // axes
-
- std::vector<ncnn::Mat> weights(0);
-
- int ret = test_layer<ncnn::Crop>("Crop", pd, weights, a);
- if (ret != 0)
- {
- fprintf(stderr, "test_crop failed a.dims=%d a=(%d %d %d)", a.dims, a.w, a.h, a.c);
- fprintf(stderr, " starts=");
- print_int_array(starts);
- fprintf(stderr, " ends=");
- print_int_array(ends);
- fprintf(stderr, " axes=");
- print_int_array(axes);
- fprintf(stderr, "\n");
- }
-
- return ret;
- }
-
- static int test_crop_0()
- {
- ncnn::Mat a = RandomMat(13, 11, 16);
-
- return 0
- || test_crop(a, 0, 0, 0, -233, -233, -233, 0, 0, 0)
- || test_crop(a, 0, 3, 0, 10, -233, -233, 0, 0, 0)
- || test_crop(a, 5, 0, 0, -233, 6, -233, 0, 0, 0)
- || test_crop(a, 5, 3, 0, -233, -233, 12, 0, 0, 0)
- || test_crop(a, 0, 3, 4, 7, -233, 8, 0, 0, 0)
- || test_crop(a, 5, 0, 5, 4, -233, 4, 0, 0, 0)
- || test_crop(a, 5, 3, 6, 2, 7, 9, 0, 0, 0)
- || test_crop(a, 0, 3, 4, -233, 4, 5, 0, 0, 0)
- || test_crop(a, 5, 0, 5, 6, 6, 8, 0, 0, 0)
- || test_crop(a, 5, 3, 6, 4, 4, 4, 0, 0, 0);
- }
-
- static int test_crop_1()
- {
- ncnn::Mat a = RandomMat(13, 11, 16);
-
- return 0
- || test_crop(a, 0, 0, 0, -233, -233, -233, 3, 4, 6)
- || test_crop(a, 0, 3, 0, 10, -233, -233, 0, 3, 4)
- || test_crop(a, 5, 0, 0, -233, 6, -233, 5, 0, 2)
- || test_crop(a, 5, 3, 0, -233, -233, 12, 2, 1, 1)
- || test_crop(a, 0, 3, 4, 7, -233, 8, 3, 4, 4)
- || test_crop(a, 5, 0, 5, 4, -233, 4, 0, 3, 0)
- || test_crop(a, 5, 3, 6, 2, 7, 9, 1, 2, 3)
- || test_crop(a, 0, 3, 4, -233, 4, 5, 3, 2, 1);
- }
-
- static int test_crop_2()
- {
- ncnn::Mat a = RandomMat(13, 11, 17);
-
- return 0
- || test_crop(a, 0, 0, 0, -233, -233, -233, 3, 4, 6)
- || test_crop(a, 0, 3, 0, 10, -233, -233, 0, 3, 4)
- || test_crop(a, 5, 0, 0, -233, 6, -233, 5, 0, 2)
- || test_crop(a, 5, 3, 0, -233, -233, 12, 2, 1, 1)
- || test_crop(a, 0, 3, 4, 7, -233, 8, 3, 4, 4)
- || test_crop(a, 5, 0, 5, 4, -233, 4, 0, 3, 0)
- || test_crop(a, 5, 3, 6, 2, 7, 9, 1, 2, 3)
- || test_crop(a, 0, 3, 4, -233, 4, 5, 3, 2, 1);
- }
-
- static int test_crop_3()
- {
- ncnn::Mat a = RandomMat(13, 11, 16);
-
- return 0
- || test_crop(a, IntArrayMat(0, 0, 0), IntArrayMat(100, 100, 100), IntArrayMat(0, 1, 2))
- || test_crop(a, IntArrayMat(4), IntArrayMat(8), IntArrayMat(0))
- || test_crop(a, IntArrayMat(2), IntArrayMat(7), IntArrayMat(1))
- || test_crop(a, IntArrayMat(3), IntArrayMat(5), IntArrayMat(2))
- || test_crop(a, IntArrayMat(2, 1), IntArrayMat(4, -2), IntArrayMat(0, 1))
- || test_crop(a, IntArrayMat(1, 4), IntArrayMat(-5, 7), IntArrayMat(1, -3))
- || test_crop(a, IntArrayMat(2, 1), IntArrayMat(4, -2), IntArrayMat(-1, -2))
- || test_crop(a, IntArrayMat(1, 2, 3), IntArrayMat(-3, -2, -1), IntArrayMat(-3, -2, -1));
- }
-
- static int test_crop_4()
- {
- ncnn::Mat a = RandomMat(13, 11, 17);
-
- return 0
- || test_crop(a, IntArrayMat(0, 0, 0), IntArrayMat(100, 100, 100), IntArrayMat(0, 1, 2))
- || test_crop(a, IntArrayMat(4), IntArrayMat(8), IntArrayMat(0))
- || test_crop(a, IntArrayMat(2), IntArrayMat(7), IntArrayMat(1))
- || test_crop(a, IntArrayMat(3), IntArrayMat(5), IntArrayMat(2))
- || test_crop(a, IntArrayMat(2, 1), IntArrayMat(4, -2), IntArrayMat(0, 1))
- || test_crop(a, IntArrayMat(1, 4), IntArrayMat(-5, 7), IntArrayMat(1, -3))
- || test_crop(a, IntArrayMat(2, 1), IntArrayMat(4, -2), IntArrayMat(-1, -2))
- || test_crop(a, IntArrayMat(1, 2, 3), IntArrayMat(-3, -2, -1), IntArrayMat(-3, -2, -1));
- }
-
- int main()
- {
- SRAND(7767517);
-
- return 0
- || test_crop_0()
- || test_crop_1()
- || test_crop_2()
- || test_crop_3()
- || test_crop_4();
- }
|