101 lines
3.2 KiB
C++
101 lines
3.2 KiB
C++
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// Tencent is pleased to support the open source community by making ncnn available.
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//
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// Copyright (C) 2020 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 "layer/batchnorm.h"
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#include "testutil.h"
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static int test_batchnorm(const ncnn::Mat& a, float eps)
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{
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int channels;
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if (a.dims == 1) channels = a.w;
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if (a.dims == 2) channels = a.h;
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if (a.dims == 3 || a.dims == 4) channels = a.c;
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ncnn::ParamDict pd;
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pd.set(0, channels); // channels
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pd.set(1, eps); // eps
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std::vector<ncnn::Mat> weights(4);
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weights[0] = RandomMat(channels);
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weights[1] = RandomMat(channels);
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weights[2] = RandomMat(channels);
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weights[3] = RandomMat(channels);
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// var must be positive
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Randomize(weights[2], 0.001f, 2.f);
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int ret = test_layer<ncnn::BatchNorm>("BatchNorm", pd, weights, a);
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if (ret != 0)
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{
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fprintf(stderr, "test_batchnorm failed a.dims=%d a=(%d %d %d %d) eps=%f\n", a.dims, a.w, a.h, a.d, a.c, eps);
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}
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return ret;
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}
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static int test_batchnorm_0()
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{
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return 0
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|| test_batchnorm(RandomMat(5, 6, 7, 24), 0.f)
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|| test_batchnorm(RandomMat(5, 6, 7, 24), 0.01f)
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|| test_batchnorm(RandomMat(7, 8, 9, 12), 0.f)
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|| test_batchnorm(RandomMat(7, 8, 9, 12), 0.001f)
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|| test_batchnorm(RandomMat(3, 4, 5, 13), 0.f)
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|| test_batchnorm(RandomMat(3, 4, 5, 13), 0.001f);
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}
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static int test_batchnorm_1()
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{
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return 0
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|| test_batchnorm(RandomMat(5, 7, 24), 0.f)
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|| test_batchnorm(RandomMat(5, 7, 24), 0.01f)
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|| test_batchnorm(RandomMat(7, 9, 12), 0.f)
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|| test_batchnorm(RandomMat(7, 9, 12), 0.001f)
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|| test_batchnorm(RandomMat(3, 5, 13), 0.f)
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|| test_batchnorm(RandomMat(3, 5, 13), 0.001f);
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}
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static int test_batchnorm_2()
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{
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return 0
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|| test_batchnorm(RandomMat(15, 24), 0.f)
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|| test_batchnorm(RandomMat(15, 24), 0.01f)
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|| test_batchnorm(RandomMat(17, 12), 0.f)
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|| test_batchnorm(RandomMat(17, 12), 0.001f)
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|| test_batchnorm(RandomMat(19, 15), 0.f)
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|| test_batchnorm(RandomMat(19, 15), 0.001f);
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}
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static int test_batchnorm_3()
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{
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return 0
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|| test_batchnorm(RandomMat(128), 0.f)
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|| test_batchnorm(RandomMat(128), 0.001f)
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|| test_batchnorm(RandomMat(124), 0.f)
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|| test_batchnorm(RandomMat(124), 0.1f)
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|| test_batchnorm(RandomMat(127), 0.f)
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|| test_batchnorm(RandomMat(127), 0.1f);
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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_batchnorm_0()
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|| test_batchnorm_1()
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|| test_batchnorm_2()
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|| test_batchnorm_3();
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}
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