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https://github.com/Tencent/ncnn.git
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nihui
5ea98309e3
* harden layer parameter validation Original patches and author identities: https://github.com/Tencent/ncnn/pull/6912 (beilzx) https://github.com/Tencent/ncnn/pull/6919 (FluxMind-O) https://github.com/Tencent/ncnn/pull/6928 (lxcxjxhx) https://github.com/Tencent/ncnn/pull/6948 (ktz03) https://github.com/Tencent/ncnn/pull/6950 (ktz03) https://github.com/Tencent/ncnn/pull/6971 (LI) https://github.com/Tencent/ncnn/pull/6974 (LI) https://github.com/Tencent/ncnn/pull/6977 (LI) Co-authored-by: beilzx <2069360659@qq.com> Co-authored-by: FluxMind-O <3283918317@qq.com> Co-authored-by: lxcxjxhx <lxcxjxhx@users.noreply.github.com> Co-authored-by: ktz03 <2484593937@qq.com> Co-authored-by: LI <2484593937@qq.com>
107 lines
2.7 KiB
C++
107 lines
2.7 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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#include "layer_type.h"
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#include <limits.h>
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static int test_reorg(const ncnn::Mat& a, int stride, int mode)
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{
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ncnn::ParamDict pd;
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pd.set(0, stride);
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pd.set(1, mode);
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std::vector<ncnn::Mat> weights(0);
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int ret = test_layer("Reorg", pd, weights, a);
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if (ret != 0)
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{
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fprintf(stderr, "test_reorg failed a.dims=%d a=(%d %d %d) stride=%d mode=%d\n", a.dims, a.w, a.h, a.c, stride, mode);
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}
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return ret;
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}
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static int test_reorg_0()
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{
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return 0
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|| test_reorg(RandomMat(6, 7, 1), 1, 0)
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|| test_reorg(RandomMat(6, 6, 2), 2, 0)
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|| test_reorg(RandomMat(6, 8, 3), 2, 0)
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|| test_reorg(RandomMat(4, 4, 4), 4, 0)
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|| test_reorg(RandomMat(8, 8, 8), 2, 0)
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|| test_reorg(RandomMat(10, 10, 12), 2, 0)
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|| test_reorg(RandomMat(9, 9, 4), 3, 0)
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|| test_reorg(RandomMat(9, 9, 16), 3, 0);
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}
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static int test_reorg_1()
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{
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return 0
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|| test_reorg(RandomMat(6, 7, 1), 1, 1)
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|| test_reorg(RandomMat(6, 6, 2), 2, 1)
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|| test_reorg(RandomMat(6, 8, 3), 2, 1)
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|| test_reorg(RandomMat(4, 4, 4), 4, 1)
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|| test_reorg(RandomMat(8, 8, 8), 2, 1)
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|| test_reorg(RandomMat(10, 10, 12), 2, 1)
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|| test_reorg(RandomMat(9, 9, 4), 3, 1)
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|| test_reorg(RandomMat(9, 9, 16), 3, 1);
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}
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#if NCNN_VALIDATION
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static int test_reorg_load_param()
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{
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ncnn::ParamDict base;
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base.set(0, 2);
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if (test_layer_param(ncnn::LayerType::Reorg, base, 0) != 0)
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return -1;
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const int invalid[] = {0, -1, -8, INT_MIN};
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for (int i = 0; i < 4; i++)
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{
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if (test_layer_param(ncnn::LayerType::Reorg, base, 0, invalid[i], -1) != 0)
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return -1;
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}
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// the squared value exceeds the int range
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return test_layer_param(ncnn::LayerType::Reorg, base, 0, 65536, -1);
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}
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static int test_reorg_load_param_type()
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{
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ncnn::ParamDict base;
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if (test_layer_param(ncnn::LayerType::Reorg, base, 0) != 0)
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return -1;
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for (int i = 0; i <= 1; i++)
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{
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if (test_layer_param(ncnn::LayerType::Reorg, base, 1, i, 0) != 0)
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return -1;
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}
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const int invalid[] = {-1, 2, INT_MIN, INT_MAX};
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for (int i = 0; i < 4; i++)
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{
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if (test_layer_param(ncnn::LayerType::Reorg, base, 1, invalid[i], -1) != 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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#endif // NCNN_VALIDATION
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int main()
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{
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SRAND(7767517);
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return 0
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|| test_reorg_0()
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|| test_reorg_1()
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#if NCNN_VALIDATION
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|| test_reorg_load_param()
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|| test_reorg_load_param_type()
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#endif // NCNN_VALIDATION
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;
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}
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