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- // 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 "layer/instancenorm.h"
- #include "testutil.h"
-
- static int test_instancenorm(const ncnn::Mat& a, float eps)
- {
- int channels = a.c;
-
- ncnn::ParamDict pd;
- pd.set(0, channels);
- pd.set(1, eps);
-
- std::vector<ncnn::Mat> weights(2);
- weights[0] = RandomMat(channels);
- weights[1] = RandomMat(channels);
-
- int ret = test_layer<ncnn::InstanceNorm>("InstanceNorm", pd, weights, a);
- if (ret != 0)
- {
- fprintf(stderr, "test_instancenorm failed a.dims=%d a=(%d %d %d) eps=%f\n", a.dims, a.w, a.h, a.c, eps);
- }
-
- return ret;
- }
-
- static int test_instancenorm_0()
- {
- return 0
- || test_instancenorm(RandomMat(6, 4, 2), 0.01f)
- || test_instancenorm(RandomMat(3, 3, 8), 0.002f);
- }
-
- int main()
- {
- SRAND(7767517);
-
- return 0
- || test_instancenorm_0();
- }
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