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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>
77 lines
1.8 KiB
C++
77 lines
1.8 KiB
C++
// Copyright 2022 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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static int test_fold(int w, int h, int outw, int outh, int kernel_w, int kernel_h, int dilation_w, int dilation_h, int stride_w, int stride_h, int pad_w, int pad_h)
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{
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ncnn::Mat a = RandomMat(w, h);
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ncnn::ParamDict pd;
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pd.set(1, kernel_w);
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pd.set(11, kernel_h);
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pd.set(2, dilation_w);
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pd.set(12, dilation_h);
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pd.set(3, stride_w);
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pd.set(13, stride_h);
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pd.set(4, pad_w);
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pd.set(14, pad_h);
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pd.set(20, outw);
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pd.set(21, outh);
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std::vector<ncnn::Mat> weights(0);
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int ret = test_layer("Fold", pd, weights, a);
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if (ret != 0)
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{
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fprintf(stderr, "test_fold failed w=%d h=%d outw=%d outh=%d kernel=%d,%d dilation=%d,%d stride=%d,%d pad=%d,%d\n", w, h, outw, outh, kernel_w, kernel_h, dilation_w, dilation_h, stride_w, stride_h, pad_w, pad_h);
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}
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return ret;
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}
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static int test_fold_0()
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{
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return 0
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|| test_fold(400, 108, 22, 22, 3, 3, 1, 1, 1, 1, 0, 0)
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|| test_fold(190, 96, 18, 17, 4, 2, 1, 1, 1, 2, 2, 2)
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|| test_fold(120, 36, 11, 5, 3, 2, 2, 1, 1, 1, 4, 2);
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}
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#if NCNN_VALIDATION
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static int test_fold_load_param()
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{
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ncnn::ParamDict base;
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base.set(1, 3);
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if (test_layer_param(ncnn::LayerType::Fold, base, 0) != 0)
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return -1;
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if (test_layer_param(ncnn::LayerType::Fold, base, 3, 0, -1) != 0)
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return -1;
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{
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ncnn::ParamDict pd = base;
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pd.set(3, 1);
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pd.set(1, 65536);
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if (test_layer_param(ncnn::LayerType::Fold, pd, -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_fold_0()
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#if NCNN_VALIDATION
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|| test_fold_load_param()
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#endif // NCNN_VALIDATION
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;
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}
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