mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-22 08:46:02 +08:00
556b79ce4d
* create layer decoupled * no more virtual public * allow build test with shared library * decouple cpu vulkan * drop old scripts
126 lines
4.7 KiB
C++
126 lines
4.7 KiB
C++
// Tencent is pleased to support the open source community by making ncnn available.
|
|
//
|
|
// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
|
|
//
|
|
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
|
|
// in compliance with the License. You may obtain a copy of the License at
|
|
//
|
|
// https://opensource.org/licenses/BSD-3-Clause
|
|
//
|
|
// Unless required by applicable law or agreed to in writing, software distributed
|
|
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
|
|
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
|
|
// specific language governing permissions and limitations under the License.
|
|
|
|
#include "testutil.h"
|
|
|
|
static int test_groupnorm(const ncnn::Mat& a, int group, float eps, int affine)
|
|
{
|
|
int channels = a.c;
|
|
if (a.dims == 1)
|
|
{
|
|
channels = a.w;
|
|
}
|
|
else if (a.dims == 2)
|
|
{
|
|
channels = a.h;
|
|
}
|
|
|
|
ncnn::ParamDict pd;
|
|
pd.set(0, group);
|
|
pd.set(1, channels);
|
|
pd.set(2, eps);
|
|
pd.set(3, affine);
|
|
|
|
std::vector<ncnn::Mat> weights(2);
|
|
weights[0] = RandomMat(channels);
|
|
weights[1] = RandomMat(channels);
|
|
|
|
int ret = test_layer("GroupNorm", pd, weights, a);
|
|
if (ret != 0)
|
|
{
|
|
fprintf(stderr, "test_groupnorm failed a.dims=%d a=(%d %d %d) group=%d eps=%f\n", a.dims, a.w, a.h, a.c, group, eps);
|
|
}
|
|
|
|
return ret;
|
|
}
|
|
|
|
static int test_groupnorm_0()
|
|
{
|
|
return 0
|
|
|| test_groupnorm(RandomMat(3, 6, 4, 2), 1, 0.01f, 0)
|
|
|| test_groupnorm(RandomMat(2, 3, 3, 8), 2, 0.002f, 0)
|
|
|| test_groupnorm(RandomMat(3, 4, 5, 6), 3, 0.01f, 0)
|
|
|| test_groupnorm(RandomMat(4, 5, 6, 12), 4, 0.02f, 0)
|
|
|| test_groupnorm(RandomMat(5, 6, 7, 24), 2, 0.001f, 0)
|
|
|| test_groupnorm(RandomMat(2, 8, 9, 24), 3, 0.0001f, 0)
|
|
|| test_groupnorm(RandomMat(3, 6, 4, 2), 1, 0.01f, 1)
|
|
|| test_groupnorm(RandomMat(2, 3, 3, 8), 2, 0.002f, 1)
|
|
|| test_groupnorm(RandomMat(3, 4, 5, 6), 3, 0.01f, 1)
|
|
|| test_groupnorm(RandomMat(4, 5, 6, 12), 4, 0.02f, 1)
|
|
|| test_groupnorm(RandomMat(5, 6, 7, 24), 2, 0.001f, 1)
|
|
|| test_groupnorm(RandomMat(2, 8, 9, 24), 3, 0.0001f, 1);
|
|
}
|
|
|
|
static int test_groupnorm_1()
|
|
{
|
|
return 0
|
|
|| test_groupnorm(RandomMat(6, 4, 2), 1, 0.01f, 0)
|
|
|| test_groupnorm(RandomMat(3, 3, 8), 2, 0.002f, 0)
|
|
|| test_groupnorm(RandomMat(4, 5, 6), 3, 0.01f, 0)
|
|
|| test_groupnorm(RandomMat(5, 6, 12), 4, 0.02f, 0)
|
|
|| test_groupnorm(RandomMat(6, 7, 24), 2, 0.001f, 0)
|
|
|| test_groupnorm(RandomMat(8, 9, 24), 3, 0.0001f, 0)
|
|
|| test_groupnorm(RandomMat(6, 4, 2), 1, 0.01f, 1)
|
|
|| test_groupnorm(RandomMat(3, 3, 8), 2, 0.002f, 1)
|
|
|| test_groupnorm(RandomMat(4, 5, 6), 3, 0.01f, 1)
|
|
|| test_groupnorm(RandomMat(5, 6, 12), 4, 0.02f, 1)
|
|
|| test_groupnorm(RandomMat(6, 7, 24), 2, 0.001f, 1)
|
|
|| test_groupnorm(RandomMat(8, 9, 24), 3, 0.0001f, 1);
|
|
}
|
|
|
|
static int test_groupnorm_2()
|
|
{
|
|
return 0
|
|
|| test_groupnorm(RandomMat(24, 2), 1, 0.01f, 0)
|
|
|| test_groupnorm(RandomMat(23, 8), 2, 0.002f, 0)
|
|
|| test_groupnorm(RandomMat(25, 6), 3, 0.01f, 0)
|
|
|| test_groupnorm(RandomMat(26, 12), 4, 0.02f, 0)
|
|
|| test_groupnorm(RandomMat(27, 24), 2, 0.001f, 0)
|
|
|| test_groupnorm(RandomMat(29, 24), 3, 0.0001f, 0)
|
|
|| test_groupnorm(RandomMat(24, 2), 1, 0.01f, 1)
|
|
|| test_groupnorm(RandomMat(23, 8), 2, 0.002f, 1)
|
|
|| test_groupnorm(RandomMat(25, 6), 3, 0.01f, 1)
|
|
|| test_groupnorm(RandomMat(26, 12), 4, 0.02f, 1)
|
|
|| test_groupnorm(RandomMat(27, 24), 2, 0.001f, 1)
|
|
|| test_groupnorm(RandomMat(29, 24), 3, 0.0001f, 1);
|
|
}
|
|
|
|
static int test_groupnorm_3()
|
|
{
|
|
return 0
|
|
|| test_groupnorm(RandomMat(12), 1, 0.01f, 0)
|
|
|| test_groupnorm(RandomMat(18), 2, 0.002f, 0)
|
|
|| test_groupnorm(RandomMat(36), 3, 0.01f, 0)
|
|
|| test_groupnorm(RandomMat(212), 4, 0.02f, 0)
|
|
|| test_groupnorm(RandomMat(124), 2, 0.001f, 0)
|
|
|| test_groupnorm(RandomMat(324), 3, 0.0001f, 0)
|
|
|| test_groupnorm(RandomMat(12), 1, 0.01f, 1)
|
|
|| test_groupnorm(RandomMat(18), 2, 0.002f, 1)
|
|
|| test_groupnorm(RandomMat(36), 3, 0.01f, 1)
|
|
|| test_groupnorm(RandomMat(212), 4, 0.02f, 1)
|
|
|| test_groupnorm(RandomMat(124), 2, 0.001f, 1)
|
|
|| test_groupnorm(RandomMat(324), 3, 0.0001f, 1);
|
|
}
|
|
|
|
int main()
|
|
{
|
|
SRAND(7767517);
|
|
|
|
return 0
|
|
|| test_groupnorm_0()
|
|
|| test_groupnorm_1()
|
|
|| test_groupnorm_2()
|
|
|| test_groupnorm_3();
|
|
}
|