mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-22 08:46:02 +08:00
165 lines
4.0 KiB
C++
165 lines
4.0 KiB
C++
// Tencent is pleased to support the open source community by making ncnn available.
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//
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// Copyright (C) 2024 THL A29 Limited, a Tencent company. All rights reserved.
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//
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// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
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// in compliance with the License. You may obtain a copy of the License at
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//
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// https://opensource.org/licenses/BSD-3-Clause
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//
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// Unless required by applicable law or agreed to in writing, software distributed
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// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
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// CONDITIONS OF ANY KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations under the License.
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#include "testutil.h"
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static ncnn::Mat IntArrayMat(int a0)
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{
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ncnn::Mat m(1);
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int* p = m;
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p[0] = a0;
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return m;
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}
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static ncnn::Mat IntArrayMat(int a0, int a1)
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{
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ncnn::Mat m(2);
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int* p = m;
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p[0] = a0;
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p[1] = a1;
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return m;
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}
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static ncnn::Mat IntArrayMat(int a0, int a1, int a2)
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{
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ncnn::Mat m(3);
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int* p = m;
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p[0] = a0;
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p[1] = a1;
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p[2] = a2;
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return m;
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}
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static ncnn::Mat IntArrayMat(int a0, int a1, int a2, int a3)
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{
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ncnn::Mat m(4);
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int* p = m;
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p[0] = a0;
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p[1] = a1;
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p[2] = a2;
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p[3] = a3;
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return m;
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}
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static void print_int_array(const ncnn::Mat& a)
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{
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const int* pa = a;
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fprintf(stderr, "[");
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for (int i = 0; i < a.w; i++)
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{
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fprintf(stderr, " %d", pa[i]);
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}
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fprintf(stderr, " ]");
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}
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static int test_slice_oom(const ncnn::Mat& a, const ncnn::Mat& slices, int axis)
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{
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ncnn::ParamDict pd;
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pd.set(0, slices);
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pd.set(1, axis);
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std::vector<ncnn::Mat> weights(0);
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std::vector<ncnn::Mat> a0(1);
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a0[0] = a;
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int ret = test_layer_oom("Slice", pd, weights, a0, slices.w);
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if (ret != 0)
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{
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fprintf(stderr, "test_slice_oom 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, " slices=");
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print_int_array(slices);
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fprintf(stderr, " axis=%d\n", axis);
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}
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return ret;
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}
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static int test_slice_oom_indices(const ncnn::Mat& a, const ncnn::Mat& indices, int axis)
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{
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ncnn::ParamDict pd;
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pd.set(1, axis);
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pd.set(2, indices);
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std::vector<ncnn::Mat> weights(0);
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std::vector<ncnn::Mat> a0(1);
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a0[0] = a;
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int ret = test_layer_oom("Slice", pd, weights, a0, indices.w);
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if (ret != 0)
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{
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fprintf(stderr, "test_slice_oom_indices 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, " indices=");
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print_int_array(indices);
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fprintf(stderr, " axis=%d\n", axis);
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}
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return ret;
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}
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static int test_slice_0()
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{
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ncnn::Mat a = RandomMat(48, 48, 48, 48);
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return 0
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|| test_slice_oom(a, IntArrayMat(3, 12, 16, -233), 0)
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|| test_slice_oom(a, IntArrayMat(3, 12, 16, -233), 1)
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|| test_slice_oom(a, IntArrayMat(3, 12, 16, -233), 2)
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|| test_slice_oom(a, IntArrayMat(3, 12, 16, -233), 3)
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|| test_slice_oom_indices(a, IntArrayMat(2, -24, -8), 0);
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}
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static int test_slice_1()
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{
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ncnn::Mat a = RandomMat(48, 48, 48);
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return 0
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|| test_slice_oom(a, IntArrayMat(3, 12, 16, -233), 0)
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|| test_slice_oom(a, IntArrayMat(3, 12, 16, -233), 1)
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|| test_slice_oom(a, IntArrayMat(3, 12, 16, -233), 2)
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|| test_slice_oom_indices(a, IntArrayMat(2, -24, -8), 0);
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}
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static int test_slice_2()
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{
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ncnn::Mat a = RandomMat(48, 48);
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return 0
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|| test_slice_oom(a, IntArrayMat(3, 12, 16, -233), 0)
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|| test_slice_oom(a, IntArrayMat(3, 12, 16, -233), 1)
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|| test_slice_oom_indices(a, IntArrayMat(2, -24, -8), 0);
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}
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static int test_slice_3()
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{
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ncnn::Mat a = RandomMat(48);
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return 0
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|| test_slice_oom(a, IntArrayMat(3, 12, 16, -233), 0)
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|| test_slice_oom_indices(a, IntArrayMat(2, -24, -8), 0);
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}
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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_slice_0()
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|| test_slice_1()
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|| test_slice_2()
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|| test_slice_3();
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}
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