| /* |
| * 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 /* BOOST */ |
| |
| 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__ */ |