| /* |
| * Copyright (c) 2017 ARM Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #ifndef __ARM_COMPUTE_TEST_DATASET_NORMALIZATION_LAYER_DATASET_H__ |
| #define __ARM_COMPUTE_TEST_DATASET_NORMALIZATION_LAYER_DATASET_H__ |
| |
| #include "TypePrinter.h" |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| #include "dataset/GenericDataset.h" |
| |
| #include <sstream> |
| #include <type_traits> |
| |
| #ifdef BOOST |
| #include "boost_wrapper.h" |
| #endif |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| class NormalizationLayerDataObject |
| { |
| public: |
| operator std::string() const |
| { |
| std::stringstream ss; |
| ss << "NormalizationLayer"; |
| ss << "_I" << shape; |
| ss << "_F_" << info.type(); |
| ss << "_S_" << info.norm_size(); |
| return ss.str(); |
| } |
| |
| public: |
| TensorShape shape; |
| NormalizationLayerInfo info; |
| }; |
| |
| template <unsigned int Size> |
| using NormalizationLayerDataset = GenericDataset<NormalizationLayerDataObject, Size>; |
| |
| class GoogLeNetNormalizationLayerDataset final : public NormalizationLayerDataset<2> |
| { |
| public: |
| GoogLeNetNormalizationLayerDataset() |
| : GenericDataset |
| { |
| // conv2/norm2 |
| NormalizationLayerDataObject{ TensorShape(56U, 56U, 192U), NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f) }, |
| // pool1/norm1 |
| NormalizationLayerDataObject{ TensorShape(56U, 56U, 64U), NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f) } |
| } |
| { |
| } |
| |
| ~GoogLeNetNormalizationLayerDataset() = default; |
| }; |
| |
| class AlexNetNormalizationLayerDataset final : public NormalizationLayerDataset<2> |
| { |
| public: |
| AlexNetNormalizationLayerDataset() |
| : GenericDataset |
| { |
| NormalizationLayerDataObject{ TensorShape(55U, 55U, 96U), NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f) }, |
| NormalizationLayerDataObject{ TensorShape(27U, 27U, 256U), NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f) }, |
| } |
| { |
| } |
| |
| ~AlexNetNormalizationLayerDataset() = default; |
| }; |
| |
| } // namespace test |
| } // namespace arm_compute |
| #endif //__ARM_COMPUTE_TEST_DATASET_NORMALIZATION_LAYER_DATASET_H__ |