mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-22 00:43:53 +08:00
nihui
556b79ce4d
* create layer decoupled * no more virtual public * allow build test with shared library * decouple cpu vulkan * drop old scripts
58 lines
1.5 KiB
C++
58 lines
1.5 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) 2023 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 int test_diag(const ncnn::Mat& a, int diagonal)
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{
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ncnn::ParamDict pd;
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pd.set(0, diagonal);
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std::vector<ncnn::Mat> weights(0);
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int ret = test_layer("Diag", pd, weights, a);
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if (ret != 0)
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{
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fprintf(stderr, "test_diag failed a.dims=%d a=(%d %d %d %d)\n", a.dims, a.w, a.h, a.d, a.c);
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}
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return ret;
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}
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static int test_diag_0()
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{
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return 0
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|| test_diag(RandomMat(5, 24), 3)
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|| test_diag(RandomMat(7, 12), 0)
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|| test_diag(RandomMat(6, 6), -4)
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|| test_diag(RandomMat(3, 4), -6);
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}
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static int test_diag_1()
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{
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return 0
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|| test_diag(RandomMat(5), -1)
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|| test_diag(RandomMat(7), 0)
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|| test_diag(RandomMat(3), 2);
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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_diag_0()
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|| test_diag_1();
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}
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