mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-24 09:45:20 +08:00
nihui
11cffce114
* runtime cpu dispatch * force thread one * disable openmp for coverage * simplify test layer * print NCNN_TARGET_ARCH * less ci build variants * weight fp16 storage option * test convdw int8 * apple a12 a13 * ncnn_add_layer ncnn_add_shader cmake macro
78 lines
2.4 KiB
C++
78 lines
2.4 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) 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, int channels, float eps)
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{
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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) channels=%d eps=%f\n", a.dims, a.w, a.h, a.c, channels, 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, 7, 16), 16, 0.f)
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|| test_batchnorm(RandomMat(5, 7, 16), 16, 0.01f)
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|| test_batchnorm(RandomMat(3, 5, 13), 13, 0.f)
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|| test_batchnorm(RandomMat(3, 5, 13), 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(6, 16), 16, 0.f)
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|| test_batchnorm(RandomMat(6, 16), 16, 0.01f)
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|| test_batchnorm(RandomMat(7, 15), 15, 0.f)
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|| test_batchnorm(RandomMat(7, 15), 15, 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(128), 128, 0.f)
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|| test_batchnorm(RandomMat(128), 128, 0.001f)
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|| test_batchnorm(RandomMat(127), 127, 0.f)
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|| test_batchnorm(RandomMat(127), 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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}
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