mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-22 08:46:02 +08:00
nihui
556b79ce4d
* create layer decoupled * no more virtual public * allow build test with shared library * decouple cpu vulkan * drop old scripts
69 lines
1.8 KiB
C++
69 lines
1.8 KiB
C++
// Copyright (c) 2022 Xiaomi Corp. (author: Fangjun Kuang)
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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_glu(const ncnn::Mat& a, int axis)
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{
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ncnn::ParamDict pd;
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pd.set(0, axis);
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std::vector<ncnn::Mat> weights(0);
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int ret = test_layer("GLU", pd, weights, a);
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if (ret != 0)
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{
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fprintf(stderr, "test_glu failed a.dims=%d a=(%d %d %d) axis=%d\n", a.dims, a.w, a.h, a.c, axis);
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}
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return ret;
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}
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static int test_glu_0()
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{
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return 0
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|| test_glu(RandomMat(6, 7, 24), 0)
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|| test_glu(RandomMat(6, 8, 24), 1)
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|| test_glu(RandomMat(6, 8, 24), 2)
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|| test_glu(RandomMat(36, 7, 22), 0)
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|| test_glu(RandomMat(5, 256, 23), -2)
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|| test_glu(RandomMat(129, 9, 60), 2)
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|| test_glu(RandomMat(129, 9, 30), -1);
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}
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static int test_glu_1()
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{
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return 0
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|| test_glu(RandomMat(10, 24), 0)
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|| test_glu(RandomMat(7, 24), 1)
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|| test_glu(RandomMat(128, 22), 0)
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|| test_glu(RandomMat(128, 256), 1);
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}
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static int test_glu_2()
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{
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return 0
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|| test_glu(RandomMat(10), 0)
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|| test_glu(RandomMat(20), 0)
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|| test_glu(RandomMat(128), 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_glu_0()
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|| test_glu_1()
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|| test_glu_2();
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}
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