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Diffstat (limited to 'tests/fixtures_new/AlexNetFixture.h')
-rw-r--r-- | tests/fixtures_new/AlexNetFixture.h | 86 |
1 files changed, 86 insertions, 0 deletions
diff --git a/tests/fixtures_new/AlexNetFixture.h b/tests/fixtures_new/AlexNetFixture.h new file mode 100644 index 0000000000..fcac1b2236 --- /dev/null +++ b/tests/fixtures_new/AlexNetFixture.h @@ -0,0 +1,86 @@ +/* + * 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_ALEXNETFIXTURE +#define ARM_COMPUTE_TEST_ALEXNETFIXTURE + +#include "framework/Fixture.h" +#include "networks_new/AlexNetNetwork.h" +#include "tests/TensorLibrary.h" +#include "tests/Utils.h" + +namespace arm_compute +{ +namespace test +{ +template <typename ITensorType, + typename TensorType, + typename SubTensorType, + typename Accessor, + typename ActivationLayerFunction, + typename ConvolutionLayerFunction, + typename FullyConnectedLayerFunction, + typename NormalizationLayerFunction, + typename PoolingLayerFunction, + typename SoftmaxLayerFunction> + +class AlexNetFixture : public framework::Fixture +{ +public: + void setup(DataType data_type, int batches) + { + constexpr bool weights_transposed = true; + constexpr int fixed_point_position = 4; + + network.init(data_type, fixed_point_position, batches, weights_transposed); + network.build(); + network.allocate(); + network.fill_random(); + } + + void run() + { + network.run(); + } + + void teardown() + { + network.clear(); + } + +private: + networks::AlexNetNetwork<ITensorType, + TensorType, + SubTensorType, + Accessor, + ActivationLayerFunction, + ConvolutionLayerFunction, + FullyConnectedLayerFunction, + NormalizationLayerFunction, + PoolingLayerFunction, + SoftmaxLayerFunction> + network{}; +}; +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_ALEXNETFIXTURE */ |