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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, 0 insertions, 99 deletions
diff --git a/tests/validation_old/dataset/NormalizationLayerDataset.h b/tests/validation_old/dataset/NormalizationLayerDataset.h deleted file mode 100644 index 489d1e0af2..0000000000 --- a/tests/validation_old/dataset/NormalizationLayerDataset.h +++ /dev/null @@ -1,99 +0,0 @@ -/* - * 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 "utils/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__ */ |