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Diffstat (limited to 'tests/validation_old/dataset/NormalizationLayerDataset.h')
-rw-r--r-- | tests/validation_old/dataset/NormalizationLayerDataset.h | 99 |
1 files changed, 99 insertions, 0 deletions
diff --git a/tests/validation_old/dataset/NormalizationLayerDataset.h b/tests/validation_old/dataset/NormalizationLayerDataset.h new file mode 100644 index 0000000000..cd3c14d948 --- /dev/null +++ b/tests/validation_old/dataset/NormalizationLayerDataset.h @@ -0,0 +1,99 @@ +/* + * 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 "tests/validation_old/dataset/GenericDataset.h" + +#include <sstream> +#include <type_traits> + +#ifdef BOOST +#include "tests/validation_old/boost_wrapper.h" +#endif /* BOOST */ + +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__ */ |