1 /* 2 * Copyright (c) 2017 Arm Limited. 3 * 4 * SPDX-License-Identifier: MIT 5 * 6 * Permission is hereby granted, free of charge, to any person obtaining a copy 7 * of this software and associated documentation files (the "Software"), to 8 * deal in the Software without restriction, including without limitation the 9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or 10 * sell copies of the Software, and to permit persons to whom the Software is 11 * furnished to do so, subject to the following conditions: 12 * 13 * The above copyright notice and this permission notice shall be included in all 14 * copies or substantial portions of the Software. 15 * 16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 22 * SOFTWARE. 23 */ 24 #ifndef ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV1_NORMALIZATION_LAYER_DATASET 25 #define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV1_NORMALIZATION_LAYER_DATASET 26 27 #include "tests/framework/datasets/Datasets.h" 28 29 #include "utils/TypePrinter.h" 30 31 #include "arm_compute/core/TensorShape.h" 32 #include "arm_compute/core/Types.h" 33 34 namespace arm_compute 35 { 36 namespace test 37 { 38 namespace datasets 39 { 40 class GoogLeNetInceptionV1NormalizationLayerDataset final : public 41 framework::dataset::CartesianProductDataset<framework::dataset::InitializerListDataset<TensorShape>, framework::dataset::SingletonDataset<NormalizationLayerInfo>> 42 { 43 public: GoogLeNetInceptionV1NormalizationLayerDataset()44 GoogLeNetInceptionV1NormalizationLayerDataset() 45 : CartesianProductDataset 46 { 47 framework::dataset::make("Shape", { // conv2/norm2 48 TensorShape(56U, 56U, 192U), 49 // pool1/norm1 50 TensorShape(56U, 56U, 64U) }), 51 framework::dataset::make("Info", NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f)) 52 } 53 { 54 } 55 GoogLeNetInceptionV1NormalizationLayerDataset(GoogLeNetInceptionV1NormalizationLayerDataset &&) = default; 56 ~GoogLeNetInceptionV1NormalizationLayerDataset() = default; 57 }; 58 } // namespace datasets 59 } // namespace test 60 } // namespace arm_compute 61 #endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV1_NORMALIZATION_LAYER_DATASET */ 62