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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>
256 lines
6.8 KiB
C++
256 lines
6.8 KiB
C++
// Copyright 2023 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_copyto(const ncnn::Mat& self, const ncnn::Mat& src, int woffset, int hoffset, int doffset, int coffset)
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{
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ncnn::ParamDict pd;
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pd.set(0, woffset); // woffset
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pd.set(1, hoffset); // hoffset
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pd.set(13, doffset); // doffset
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pd.set(2, coffset); // coffset
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std::vector<ncnn::Mat> weights(0);
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std::vector<ncnn::Mat> as(2);
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as[0] = self;
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as[1] = src;
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int ret = test_layer("CopyTo", pd, weights, as, 1);
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if (ret != 0)
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{
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fprintf(stderr, "test_copyto failed self.dims=%d self=(%d %d %d %d) src.dims=%d src=(%d %d %d %d) woffset=%d hoffset=%d doffset=%d coffset=%d\n", self.dims, self.w, self.h, self.d, self.c, src.dims, src.w, src.h, src.d, src.c, woffset, hoffset, doffset, coffset);
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}
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return ret;
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}
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static int test_copyto_0()
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{
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ncnn::Mat a[] = {
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RandomMat(112),
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RandomMat(126),
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RandomMat(127)
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};
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ncnn::Mat b[] = {
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RandomMat(33),
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RandomMat(36),
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RandomMat(64)
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};
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for (int i = 0; i < sizeof(a) / sizeof(a[0]); i++)
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{
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for (int j = 0; j < sizeof(b) / sizeof(b[0]); j++)
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{
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const ncnn::Mat& self = a[i];
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const ncnn::Mat& src = b[j];
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int ret = 0
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|| test_copyto(self, src, 0, 0, 0, 0)
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|| test_copyto(self, src, 13, 0, 0, 0)
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|| test_copyto(self, src, 28, 0, 0, 0)
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|| test_copyto(self, src, 32, 0, 0, 0);
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if (ret != 0)
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return ret;
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}
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}
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return 0;
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}
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static int test_copyto_1()
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{
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ncnn::Mat a[] = {
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RandomMat(72, 112),
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RandomMat(87, 126),
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RandomMat(64, 127)
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};
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ncnn::Mat b[] = {
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RandomMat(14, 33),
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RandomMat(24, 36),
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RandomMat(16, 64),
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RandomMat(14),
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RandomMat(24),
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RandomMat(16)
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};
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for (int i = 0; i < sizeof(a) / sizeof(a[0]); i++)
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{
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for (int j = 0; j < sizeof(b) / sizeof(b[0]); j++)
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{
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const ncnn::Mat& self = a[i];
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const ncnn::Mat& src = b[j];
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int ret = 0
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|| test_copyto(self, src, 0, 0, 0, 0)
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|| test_copyto(self, src, 1, 13, 0, 0)
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|| test_copyto(self, src, 3, 28, 0, 0)
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|| test_copyto(self, src, 10, 32, 0, 0);
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if (ret != 0)
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return ret;
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}
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}
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return 0;
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}
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static int test_copyto_2()
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{
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ncnn::Mat a[] = {
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RandomMat(32, 42, 81),
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RandomMat(33, 57, 80),
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RandomMat(36, 34, 88)
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};
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ncnn::Mat b[] = {
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RandomMat(1, 14, 23),
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RandomMat(12, 1, 28),
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RandomMat(11, 8, 32),
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RandomMat(1, 14),
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RandomMat(12, 1),
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RandomMat(11, 8),
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RandomMat(1),
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RandomMat(12),
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RandomMat(11)
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};
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for (int i = 0; i < sizeof(a) / sizeof(a[0]); i++)
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{
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for (int j = 0; j < sizeof(b) / sizeof(b[0]); j++)
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{
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const ncnn::Mat& self = a[i];
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const ncnn::Mat& src = b[j];
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int ret = 0
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|| test_copyto(self, src, 0, 0, 0, 0)
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|| test_copyto(self, src, 0, 1, 0, 13)
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|| test_copyto(self, src, 4, 3, 0, 28)
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|| test_copyto(self, src, 5, 0, 0, 32);
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if (ret != 0)
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return ret;
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}
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}
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return 0;
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}
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static int test_copyto_3()
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{
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ncnn::Mat a[] = {
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RandomMat(12, 42, 7, 81),
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RandomMat(13, 57, 5, 80),
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RandomMat(16, 34, 6, 88)
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};
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ncnn::Mat b[] = {
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RandomMat(1, 14, 2, 23),
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RandomMat(12, 1, 3, 28),
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RandomMat(11, 8, 1, 32),
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RandomMat(1, 14, 2),
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RandomMat(12, 1, 3),
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RandomMat(11, 8, 1),
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RandomMat(1, 14),
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RandomMat(12, 1),
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RandomMat(11, 8),
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RandomMat(1),
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RandomMat(12),
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RandomMat(11)
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};
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for (int i = 0; i < sizeof(a) / sizeof(a[0]); i++)
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{
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for (int j = 0; j < sizeof(b) / sizeof(b[0]); j++)
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{
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const ncnn::Mat& self = a[i];
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const ncnn::Mat& src = b[j];
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int ret = 0
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|| test_copyto(self, src, 0, 0, 0, 0)
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|| test_copyto(self, src, 0, 1, 1, 13)
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|| test_copyto(self, src, 4, 3, 0, 28)
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|| test_copyto(self, src, 5, 0, 2, 32);
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if (ret != 0)
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return ret;
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}
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}
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return 0;
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}
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static int test_copyto_4()
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{
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return 0
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|| test_copyto(RandomMat(15), RandomMat(15), 0, 0, 0, 0)
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|| test_copyto(RandomMat(11, 15), RandomMat(11, 15), 0, 0, 0, 0)
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|| test_copyto(RandomMat(4, 5, 16), RandomMat(4, 5, 16), 0, 0, 0, 0)
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|| test_copyto(RandomMat(3, 4, 5, 16), RandomMat(3, 4, 5, 16), 0, 0, 0, 0);
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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_copyto_load_param()
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{
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ncnn::ParamDict base;
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base.set(9, param_int_array(1, 0));
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base.set(11, param_int_array(1, 0));
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if (test_layer_param(ncnn::LayerType::CopyTo, base, 0)
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|| test_layer_param(ncnn::LayerType::CopyTo, base, 9, ncnn::Mat(), 0)
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|| test_layer_param(ncnn::LayerType::CopyTo, base, 9, ncnn::Mat(0), 0)
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|| test_layer_param(ncnn::LayerType::CopyTo, base, 11, ncnn::Mat(0), 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(11, ncnn::Mat(0));
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pd.set(9, ncnn::Mat(0));
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if (test_layer_param(ncnn::LayerType::CopyTo, pd, 0) != 0)
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return -1;
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}
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ncnn::Mat missing_data(0);
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missing_data.w = 1;
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return 0
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|| test_layer_param(ncnn::LayerType::CopyTo, base, 9, missing_data, -1)
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|| test_layer_param(ncnn::LayerType::CopyTo, base, 11, missing_data, -1)
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|| test_layer_param(ncnn::LayerType::CopyTo, base, 11, ncnn::Mat(1, (size_t)1u), -1)
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|| test_layer_param(ncnn::LayerType::CopyTo, base, 11, ncnn::Mat(1, 2), -1)
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|| test_layer_param(ncnn::LayerType::CopyTo, base, 11, 1.f, -1)
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|| test_layer_param(ncnn::LayerType::CopyTo, base, 11, param_int_array(5, 1), -1)
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|| test_layer_param(ncnn::LayerType::CopyTo, base, 11, param_int_array(1, INT_MIN), -1)
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|| test_layer_param(ncnn::LayerType::CopyTo, base, 9, param_int_array(2, 0), -1);
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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(776757);
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return 0
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|| test_copyto_0()
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|| test_copyto_1()
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|| test_copyto_2()
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|| test_copyto_3()
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|| test_copyto_4()
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#if NCNN_VALIDATION
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|| test_copyto_load_param()
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#endif // NCNN_VALIDATION
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;
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}
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