| /* |
| * Copyright (c) 2017-2018 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_ALEXNETFIXTURE |
| #define ARM_COMPUTE_TEST_ALEXNETFIXTURE |
| |
| #include "tests/AssetsLibrary.h" |
| #include "tests/Utils.h" |
| #include "tests/framework/Fixture.h" |
| #include "tests/networks/AlexNetNetwork.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| template <typename ITensorType, |
| typename TensorType, |
| typename SubTensorType, |
| typename Accessor, |
| typename ActivationLayerFunction, |
| typename ConvolutionLayerFunction, |
| typename DirectConvolutionLayerFunction, |
| typename FullyConnectedLayerFunction, |
| typename NormalizationLayerFunction, |
| typename PoolingLayerFunction, |
| typename SoftmaxLayerFunction> |
| |
| class AlexNetFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(DataType data_type, int batches) |
| { |
| constexpr bool weights_reshaped = true; |
| constexpr int fixed_point_position = 4; |
| |
| network.init(data_type, fixed_point_position, batches, weights_reshaped); |
| network.build(); |
| network.allocate(); |
| } |
| |
| void run() |
| { |
| network.run(); |
| } |
| |
| void sync() |
| { |
| network.sync(); |
| } |
| |
| void teardown() |
| { |
| network.clear(); |
| } |
| |
| private: |
| networks::AlexNetNetwork<ITensorType, |
| TensorType, |
| SubTensorType, |
| Accessor, |
| ActivationLayerFunction, |
| ConvolutionLayerFunction, |
| DirectConvolutionLayerFunction, |
| FullyConnectedLayerFunction, |
| NormalizationLayerFunction, |
| PoolingLayerFunction, |
| SoftmaxLayerFunction> |
| network{}; |
| }; |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_ALEXNETFIXTURE */ |