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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>
271 lines
6.6 KiB
C++
271 lines
6.6 KiB
C++
// Copyright 2025 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 std::vector<int> IntArray(int a0)
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{
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std::vector<int> m(1);
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m[0] = a0;
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return m;
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}
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static std::vector<int> IntArray(int a0, int a1)
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{
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std::vector<int> m(2);
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m[0] = a0;
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m[1] = a1;
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return m;
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}
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static std::vector<int> IntArray(int a0, int a1, int a2)
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{
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std::vector<int> m(3);
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m[0] = a0;
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m[1] = a1;
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m[2] = a2;
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return m;
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}
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static std::vector<int> IntArray(int a0, int a1, int a2, int a3)
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{
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std::vector<int> m(4);
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m[0] = a0;
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m[1] = a1;
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m[2] = a2;
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m[3] = a3;
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return m;
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}
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static void print_int_array(const std::vector<int>& a)
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{
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fprintf(stderr, "[");
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for (size_t i = 0; i < a.size(); i++)
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{
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fprintf(stderr, " %d", a[i]);
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}
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fprintf(stderr, " ]");
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}
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static int test_flip(const ncnn::Mat& a, const std::vector<int>& axes_array)
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{
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ncnn::Mat axes(axes_array.size());
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{
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int* p = axes;
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for (size_t i = 0; i < axes_array.size(); i++)
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{
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p[i] = axes_array[i];
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}
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}
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ncnn::ParamDict pd;
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pd.set(0, axes);
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std::vector<ncnn::Mat> weights(0);
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int ret = test_layer("Flip", pd, weights, a);
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if (ret != 0)
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{
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fprintf(stderr, "test_flip failed a.dims=%d a=(%d %d %d %d)", a.dims, a.w, a.h, a.d, a.c);
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fprintf(stderr, " axes=");
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print_int_array(axes_array);
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fprintf(stderr, "\n");
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}
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return ret;
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}
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static int test_flip_nd(const ncnn::Mat& a)
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{
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int ret1 = test_flip(a, IntArray(0));
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if (a.dims == 1 || ret1 != 0)
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return ret1;
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int ret2 = 0
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|| test_flip(a, IntArray(0))
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|| test_flip(a, IntArray(1))
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|| test_flip(a, IntArray(0, 1));
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if (a.dims == 2 || ret2 != 0)
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return ret2;
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int ret3 = 0
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|| test_flip(a, IntArray(0))
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|| test_flip(a, IntArray(1))
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|| test_flip(a, IntArray(2))
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|| test_flip(a, IntArray(0, 1))
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|| test_flip(a, IntArray(0, 2))
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|| test_flip(a, IntArray(1, 2))
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|| test_flip(a, IntArray(0, 1, 2));
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if (a.dims == 3 || ret3 != 0)
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return ret3;
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int ret4 = 0
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|| test_flip(a, IntArray(0))
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|| test_flip(a, IntArray(1))
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|| test_flip(a, IntArray(2))
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|| test_flip(a, IntArray(3))
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|| test_flip(a, IntArray(0, 1))
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|| test_flip(a, IntArray(0, 2))
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|| test_flip(a, IntArray(0, 3))
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|| test_flip(a, IntArray(1, 2))
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|| test_flip(a, IntArray(1, 3))
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|| test_flip(a, IntArray(2, 3))
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|| test_flip(a, IntArray(0, 1, 2))
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|| test_flip(a, IntArray(0, 1, 3))
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|| test_flip(a, IntArray(0, 2, 3))
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|| test_flip(a, IntArray(1, 2, 3))
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|| test_flip(a, IntArray(0, 1, 2, 3));
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return ret4;
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}
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static int test_flip_0()
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{
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ncnn::Mat a = RandomMat(5, 6, 7, 24);
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ncnn::Mat b = RandomMat(7, 8, 9, 12);
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ncnn::Mat c = RandomMat(3, 4, 5, 13);
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return 0
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|| test_flip_nd(a)
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|| test_flip_nd(b)
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|| test_flip_nd(c);
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}
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static int test_flip_1()
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{
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ncnn::Mat a = RandomMat(5, 7, 24);
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ncnn::Mat b = RandomMat(7, 9, 12);
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ncnn::Mat c = RandomMat(3, 5, 13);
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return 0
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|| test_flip_nd(a)
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|| test_flip_nd(b)
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|| test_flip_nd(c);
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}
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static int test_flip_2()
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{
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ncnn::Mat a = RandomMat(15, 24);
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ncnn::Mat b = RandomMat(17, 12);
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ncnn::Mat c = RandomMat(19, 15);
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return 0
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|| test_flip_nd(a)
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|| test_flip_nd(b)
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|| test_flip_nd(c);
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}
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static int test_flip_3()
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{
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ncnn::Mat a = RandomMat(128);
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ncnn::Mat b = RandomMat(124);
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ncnn::Mat c = RandomMat(127);
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return 0
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|| test_flip_nd(a)
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|| test_flip_nd(b)
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|| test_flip_nd(c);
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}
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static ncnn::Mat param_int_array(int size, int value)
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{
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ncnn::Mat m(size);
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int* p = m;
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for (int i = 0; i < size; i++)
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p[i] = value;
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return m;
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}
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#if NCNN_VALIDATION
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static int test_flip_load_param()
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{
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ncnn::ParamDict base;
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base.set(0, param_int_array(1, 0));
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if (test_layer_param(ncnn::LayerType::Flip, base, 0)
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|| test_layer_param(ncnn::LayerType::Flip, base, 0, ncnn::Mat(0), 0))
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return -1;
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ncnn::Mat missing_data(0);
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missing_data.w = 1;
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if (test_layer_param(ncnn::LayerType::Flip, base, 0, missing_data, -1) != 0)
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return -1;
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ncnn::Mat negative_length(0);
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negative_length.w = -1;
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return 0
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|| test_layer_param(ncnn::LayerType::Flip, base, 0, negative_length, -1)
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|| test_layer_param(ncnn::LayerType::Flip, base, 0, ncnn::Mat(0, (size_t)1u), -1)
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|| test_layer_param(ncnn::LayerType::Flip, base, 0, ncnn::Mat(1, (size_t)1u), -1)
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|| test_layer_param(ncnn::LayerType::Flip, base, 0, ncnn::Mat(1, 2), -1)
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|| test_layer_param(ncnn::LayerType::Flip, base, 0, 1.f, -1)
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|| test_layer_param(ncnn::LayerType::Flip, base, 0, param_int_array(5, 1), -1)
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|| test_layer_param(ncnn::LayerType::Flip, base, 0, param_int_array(1, INT_MIN), -1);
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}
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static int test_flip_load_param_serialized()
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{
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TestParamDict typed;
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#if NCNN_STRING
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if (typed.load_param("-23300=1,0.0") != 0)
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return -1;
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if (test_layer_param(ncnn::LayerType::Flip, typed, -1) != 0)
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return -1;
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if (typed.load_param("-23300=0") != 0)
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return -1;
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if (test_layer_param(ncnn::LayerType::Flip, typed, 0) != 0)
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return -1;
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#endif
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// binary parameters use little-endian byte order
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const unsigned char binary[] = {
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0xfc, 0xa4, 0xff, 0xff,
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0x01, 0x00, 0x00, 0x00,
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0x00, 0x00, 0x00, 0x00,
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0x17, 0xff, 0xff, 0xff
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};
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if (typed.load_param_bin(binary) != 0)
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return -1;
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if (test_layer_param(ncnn::LayerType::Flip, typed, 0) != 0)
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return -1;
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const unsigned char empty_binary[] = {
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0xfc, 0xa4, 0xff, 0xff,
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0x00, 0x00, 0x00, 0x00,
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0x17, 0xff, 0xff, 0xff
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};
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if (typed.load_param_bin(empty_binary) != 0)
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return -1;
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return test_layer_param(ncnn::LayerType::Flip, typed, 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_flip_0()
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|| test_flip_1()
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|| test_flip_2()
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|| test_flip_3()
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#if NCNN_VALIDATION
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|| test_flip_load_param()
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|| test_flip_load_param_serialized()
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#endif // NCNN_VALIDATION
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;
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}
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