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Diffstat (limited to 'tests/dataset/FullyConnectedLayerDataset.h')
| -rw-r--r-- | tests/dataset/FullyConnectedLayerDataset.h | 155 |
1 files changed, 155 insertions, 0 deletions
diff --git a/tests/dataset/FullyConnectedLayerDataset.h b/tests/dataset/FullyConnectedLayerDataset.h new file mode 100644 index 0000000000..53b7d022d7 --- /dev/null +++ b/tests/dataset/FullyConnectedLayerDataset.h @@ -0,0 +1,155 @@ +/* + * 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_FULLY_CONNECTED_LAYER_DATASET_H__ +#define __ARM_COMPUTE_TEST_DATASET_FULLY_CONNECTED_LAYER_DATASET_H__ + +#include "TypePrinter.h" + +#include "arm_compute/core/TensorShape.h" +#include "dataset/GenericDataset.h" + +#include <sstream> +#include <type_traits> + +#ifdef BOOST +#include "boost_wrapper.h" +#endif + +namespace arm_compute +{ +namespace test +{ +class FullyConnectedLayerDataObject +{ +public: + operator std::string() const + { + std::stringstream ss; + ss << "FullyConnectedLayer"; + ss << "_I" << src_shape; + ss << "_K" << weights_shape; + return ss.str(); + } + + friend std::ostream &operator<<(std::ostream &os, const FullyConnectedLayerDataObject &obj) + { + os << static_cast<std::string>(obj); + return os; + } + +public: + TensorShape src_shape; + TensorShape weights_shape; + TensorShape bias_shape; + TensorShape dst_shape; + bool transpose_weights; + bool are_weights_reshaped; +}; + +template <unsigned int Size> +using FullyConnectedLayerDataset = GenericDataset<FullyConnectedLayerDataObject, Size>; + +class SmallFullyConnectedLayerDataset final : public FullyConnectedLayerDataset<5> +{ +public: + SmallFullyConnectedLayerDataset() + : GenericDataset + { + FullyConnectedLayerDataObject{ TensorShape(9U, 5U, 7U), TensorShape(315U, 271U), TensorShape(271U), TensorShape(271U), true, false }, + FullyConnectedLayerDataObject{ TensorShape(9U, 5U, 7U, 3U), TensorShape(315U, 271U), TensorShape(271U), TensorShape(271U, 3U), true, false }, + FullyConnectedLayerDataObject{ TensorShape(201U), TensorShape(201U, 529U), TensorShape(529U), TensorShape(529U), true, false }, + FullyConnectedLayerDataObject{ TensorShape(9U, 5U, 7U), TensorShape(315U, 271U), TensorShape(271U), TensorShape(271U), true, true }, + FullyConnectedLayerDataObject{ TensorShape(201U), TensorShape(201U, 529U), TensorShape(529U), TensorShape(529U), true, true }, + } + { + } + + ~SmallFullyConnectedLayerDataset() = default; +}; + +class LargeFullyConnectedLayerDataset final : public FullyConnectedLayerDataset<5> +{ +public: + LargeFullyConnectedLayerDataset() + : GenericDataset + { + FullyConnectedLayerDataObject{ TensorShape(9U, 5U, 257U), TensorShape(11565U, 2123U), TensorShape(2123U), TensorShape(2123U), true, false }, + FullyConnectedLayerDataObject{ TensorShape(9U, 5U, 257U, 2U), TensorShape(11565U, 2123U), TensorShape(2123U), TensorShape(2123U, 2U), true, false }, + FullyConnectedLayerDataObject{ TensorShape(3127U), TensorShape(3127U, 989U), TensorShape(989U), TensorShape(989U), true, false }, + FullyConnectedLayerDataObject{ TensorShape(9U, 5U, 257U), TensorShape(11565U, 2123U), TensorShape(2123U), TensorShape(2123U), true, true }, + FullyConnectedLayerDataObject{ TensorShape(3127U), TensorShape(3127U, 989U), TensorShape(989U), TensorShape(989U), true, true }, + } + { + } + + ~LargeFullyConnectedLayerDataset() = default; +}; + +class AlexNetFullyConnectedLayerDataset final : public FullyConnectedLayerDataset<3> +{ +public: + AlexNetFullyConnectedLayerDataset() + : GenericDataset + { + FullyConnectedLayerDataObject{ TensorShape(6U, 6U, 256U), TensorShape(9216U, 4096U), TensorShape(4096U), TensorShape(4096U), true }, + FullyConnectedLayerDataObject{ TensorShape(4096U), TensorShape(4096U, 4096U), TensorShape(4096U), TensorShape(4096U), true }, + FullyConnectedLayerDataObject{ TensorShape(4096U), TensorShape(4096U, 1000U), TensorShape(1000U), TensorShape(1000U), true }, + } + { + } + + ~AlexNetFullyConnectedLayerDataset() = default; +}; + +class LeNet5FullyConnectedLayerDataset final : public FullyConnectedLayerDataset<2> +{ +public: + LeNet5FullyConnectedLayerDataset() + : GenericDataset + { + FullyConnectedLayerDataObject{ TensorShape(4U, 4U, 50U), TensorShape(800U, 500U), TensorShape(500U), TensorShape(500U) }, + FullyConnectedLayerDataObject{ TensorShape(500U), TensorShape(500U, 10U), TensorShape(10U), TensorShape(10U) }, + } + { + } + + ~LeNet5FullyConnectedLayerDataset() = default; +}; + +class GoogLeNetFullyConnectedLayerDataset final : public FullyConnectedLayerDataset<1> +{ +public: + GoogLeNetFullyConnectedLayerDataset() + : GenericDataset + { + FullyConnectedLayerDataObject{ TensorShape(1024U), TensorShape(1024U, 1000U), TensorShape(1000U), TensorShape(1000U), true }, + } + { + } + + ~GoogLeNetFullyConnectedLayerDataset() = default; +}; +} // namespace test +} // namespace arm_compute +#endif //__ARM_COMPUTE_TEST_DATASET_FULLY_CONNECTED_LAYER_DATASET_H__ |