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// Tencent is pleased to support the open source community by making ncnn available.
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// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
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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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// https://opensource.org/licenses/BSD-3-Clause
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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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static int test_lrn(const ncnn::Mat& a, int region_type, int local_size, float alpha, float beta, float bias)
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pd.set(0, region_type);
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pd.set(1, local_size);
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std::vector<ncnn::Mat> weights(0);
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int ret = test_layer("LRN", pd, weights, a);
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fprintf(stderr, "test_lrn failed a.dims=%d a=(%d %d %d) region_type=%d local_size=%d alpha=%f beta=%f bias=%f\n", a.dims, a.w, a.h, a.c, region_type, local_size, alpha, beta, bias);
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static int test_lrn_0()
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ncnn::Mat a = RandomMat(11, 7, 12);
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|| test_lrn(a, 0, 1, 1.f, 0.75f, 1.f)
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|| test_lrn(a, 0, 5, 2.f, 0.12f, 1.33f)
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|| test_lrn(a, 1, 1, 0.6f, 0.4f, 2.4f)
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|| test_lrn(a, 1, 3, 1.f, 0.75f, 0.5f);
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static int test_lrn_1()
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ncnn::Mat a = RandomMat(10, 8, 16);
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|| test_lrn(a, 0, 1, 1.f, 0.75f, 1.f)
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|| test_lrn(a, 0, 5, 2.f, 0.12f, 1.33f)
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|| test_lrn(a, 1, 1, 0.6f, 0.4f, 2.4f)
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|| test_lrn(a, 1, 3, 1.f, 0.75f, 0.5f);
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static int test_lrn_2()
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ncnn::Mat a = RandomMat(12, 10, 9);
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|| test_lrn(a, 0, 1, 1.f, 0.75f, 1.f)
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|| test_lrn(a, 0, 5, 2.f, 0.12f, 1.33f)
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|| test_lrn(a, 1, 1, 0.6f, 0.4f, 2.4f)
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|| test_lrn(a, 1, 3, 1.f, 0.75f, 0.5f);