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-rw-r--r--tests/benchmark/fixtures/LeNet5Fixture.h84
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diff --git a/tests/benchmark/fixtures/LeNet5Fixture.h b/tests/benchmark/fixtures/LeNet5Fixture.h
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-/*
- * 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_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
-{
-namespace benchmark
-{
-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();
- }
-
- void run()
- {
- network.run();
- }
-
- void sync()
- {
- network.sync();
- }
-
- void teardown()
- {
- network.clear();
- }
-
-private:
- networks::LeNet5Network<TensorType,
- Accessor,
- ActivationLayerFunction,
- ConvolutionLayerFunction,
- FullyConnectedLayerFunction,
- PoolingLayerFunction,
- SoftmaxLayerFunction>
- network{};
-};
-} // namespace benchmark
-} // namespace test
-} // namespace arm_compute
-#endif /* ARM_COMPUTE_TEST_LENET5FIXTURE */