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Diffstat (limited to 'tests/benchmark/fixtures/LeNet5Fixture.h')
-rw-r--r-- | tests/benchmark/fixtures/LeNet5Fixture.h | 77 |
1 files changed, 77 insertions, 0 deletions
diff --git a/tests/benchmark/fixtures/LeNet5Fixture.h b/tests/benchmark/fixtures/LeNet5Fixture.h new file mode 100644 index 0000000000..77a09d3025 --- /dev/null +++ b/tests/benchmark/fixtures/LeNet5Fixture.h @@ -0,0 +1,77 @@ +/* + * 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_LENET5FIXTURE +#define ARM_COMPUTE_TEST_LENET5FIXTURE + +#include "tests/AssetsLibrary.h" +#include "tests/Utils.h" +#include "tests/framework/Fixture.h" +#include "tests/networks/LeNet5Network.h" + +namespace arm_compute +{ +namespace test +{ +template <typename TensorType, + typename Accessor, + typename ActivationLayerFunction, + typename ConvolutionLayerFunction, + typename FullyConnectedLayerFunction, + typename PoolingLayerFunction, + typename SoftmaxLayerFunction> +class LeNet5Fixture : public framework::Fixture +{ +public: + template <typename...> + void setup(int batches) + { + network.init(batches); + network.build(); + network.allocate(); + network.fill_random(); + } + + void run() + { + network.run(); + } + + void teardown() + { + network.clear(); + } + +private: + networks::LeNet5Network<TensorType, + Accessor, + ActivationLayerFunction, + ConvolutionLayerFunction, + FullyConnectedLayerFunction, + PoolingLayerFunction, + SoftmaxLayerFunction> + network{}; +}; +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_LENET5FIXTURE */ |