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Diffstat (limited to 'tests/validation_old/dataset/PoolingLayerDataset.h')
| -rw-r--r-- | tests/validation_old/dataset/PoolingLayerDataset.h | 138 |
1 files changed, 0 insertions, 138 deletions
diff --git a/tests/validation_old/dataset/PoolingLayerDataset.h b/tests/validation_old/dataset/PoolingLayerDataset.h deleted file mode 100644 index a4e570c35e..0000000000 --- a/tests/validation_old/dataset/PoolingLayerDataset.h +++ /dev/null @@ -1,138 +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_POOLING_LAYER_DATASET_H__ -#define __ARM_COMPUTE_TEST_DATASET_POOLING_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 <type_traits> - -#ifdef BOOST -#include "tests/validation_old/boost_wrapper.h" -#endif /* BOOST */ - -namespace arm_compute -{ -namespace test -{ -class PoolingLayerDataObject -{ -public: - operator std::string() const - { - std::stringstream ss; - ss << "PoolingLayer"; - ss << "_I" << src_shape; - ss << "_S_" << info.pool_size(); - ss << "_F_" << info.pool_type(); - ss << "_PS" << info.pad_stride_info(); - return ss.str(); - } - - friend std::ostream &operator<<(std::ostream &s, const PoolingLayerDataObject &obj) - { - s << static_cast<std::string>(obj); - return s; - } - -public: - TensorShape src_shape; - TensorShape dst_shape; - PoolingLayerInfo info; -}; - -template <unsigned int Size> -using PoolingLayerDataset = GenericDataset<PoolingLayerDataObject, Size>; - -class AlexNetPoolingLayerDataset final : public PoolingLayerDataset<3> -{ -public: - AlexNetPoolingLayerDataset() - : GenericDataset - { - PoolingLayerDataObject{ TensorShape(55U, 55U, 96U), TensorShape(27U, 27U, 96U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0)) }, - PoolingLayerDataObject{ TensorShape(27U, 27U, 256U), TensorShape(13U, 13U, 256U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0)) }, - PoolingLayerDataObject{ TensorShape(13U, 13U, 256U), TensorShape(6U, 6U, 256U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0)) }, - } - { - } - - ~AlexNetPoolingLayerDataset() = default; -}; - -class LeNet5PoolingLayerDataset final : public PoolingLayerDataset<2> -{ -public: - LeNet5PoolingLayerDataset() - : GenericDataset - { - PoolingLayerDataObject{ TensorShape(24U, 24U, 20U), TensorShape(12U, 12U, 20U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0)) }, - PoolingLayerDataObject{ TensorShape(8U, 8U, 50U), TensorShape(4U, 4U, 50U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0)) }, - } - { - } - - ~LeNet5PoolingLayerDataset() = default; -}; - -class GoogLeNetPoolingLayerDataset final : public PoolingLayerDataset<10> -{ -public: - GoogLeNetPoolingLayerDataset() - : GenericDataset - { - // FIXME: Add support for 7x7 pooling layer pool5/7x7_s1 - // pool1/3x3_s2 - PoolingLayerDataObject{ TensorShape(112U, 112U, 64U), TensorShape(56U, 56U, 64U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)) }, - // pool2/3x3_s2 - PoolingLayerDataObject{ TensorShape(56U, 56U, 192U), TensorShape(28U, 28U, 192U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)) }, - // inception_3a/pool - PoolingLayerDataObject{ TensorShape(28U, 28U, 192U), TensorShape(28U, 28U, 192U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)) }, - // inception_3b/pool - PoolingLayerDataObject{ TensorShape(28U, 28U, 256U), TensorShape(28U, 28U, 256U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)) }, - // pool3/3x3_s2 - PoolingLayerDataObject{ TensorShape(28U, 28U, 480U), TensorShape(14U, 14U, 480U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)) }, - // inception_4a/pool - PoolingLayerDataObject{ TensorShape(14U, 14U, 480U), TensorShape(14U, 14U, 480U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)) }, - // inception_4b/pool, inception_4c/pool, inception_4d/pool - PoolingLayerDataObject{ TensorShape(14U, 14U, 512U), TensorShape(14U, 14U, 512U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)) }, - // inception_4e/pool - PoolingLayerDataObject{ TensorShape(14U, 14U, 528U), TensorShape(14U, 14U, 528U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)) }, - // pool4/3x3_s2 - PoolingLayerDataObject{ TensorShape(14U, 14U, 832U), TensorShape(7U, 7U, 832U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)) }, - // inception_5a/pool, inception_5b/pool - PoolingLayerDataObject{ TensorShape(7U, 7U, 832U), TensorShape(7U, 7U, 832U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)) }, - } - { - } - - ~GoogLeNetPoolingLayerDataset() = default; -}; -} // namespace test -} // namespace arm_compute -#endif //__ARM_COMPUTE_TEST_DATASET_POOLING_LAYER_DATASET_H__ |