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Diffstat (limited to 'tests/benchmark/common/ConvolutionLayer.h')
-rw-r--r-- | tests/benchmark/common/ConvolutionLayer.h | 107 |
1 files changed, 107 insertions, 0 deletions
diff --git a/tests/benchmark/common/ConvolutionLayer.h b/tests/benchmark/common/ConvolutionLayer.h new file mode 100644 index 0000000000..594c62c50e --- /dev/null +++ b/tests/benchmark/common/ConvolutionLayer.h @@ -0,0 +1,107 @@ +/* + * 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_BENCHMARK_CONVOLUTION_LAYER_H__ +#define __ARM_COMPUTE_TEST_BENCHMARK_CONVOLUTION_LAYER_H__ + +#include "TensorLibrary.h" +#include "Utils.h" +#include "dataset/ConvolutionLayerDataset.h" + +#include <memory> + +using namespace arm_compute; +using namespace arm_compute::test; +using namespace arm_compute::test::benchmark; + +namespace arm_compute +{ +namespace test +{ +namespace benchmark +{ +template <typename DataSet, typename TensorType, typename Accessor, typename Function, DataType dt = DataType::F32> +class ConvolutionLayer : public ::benchmark::Fixture +{ +public: + void SetUp(::benchmark::State &state) override + { + profiler.add(std::make_shared<WallClockTimer>()); + + const ConvolutionLayerDataObject conv_obj = *(DataSet().begin() + state.range(0)); + + // Set batched in source and destination shapes + const unsigned int batches = state.range(1); + const unsigned int fixed_point_position = 4; + TensorShape src_shape = conv_obj.src_shape; + TensorShape dst_shape = conv_obj.dst_shape; + src_shape.set(3 /* batch */, batches); + dst_shape.set(3 /* batch */, batches); + + // Create tensors + src = create_tensor(src_shape, dt, 1, fixed_point_position); + weights = create_tensor(conv_obj.weights_shape, dt, 1, fixed_point_position); + bias = create_tensor(conv_obj.bias_shape, dt, 1, fixed_point_position); + dst = create_tensor(dst_shape, dt, 1, fixed_point_position); + + // Create and configure function + conv_layer = std::unique_ptr<Function>(new Function()); + conv_layer->configure(&src, &weights, &bias, &dst, conv_obj.info); + + // Allocate tensors + src.allocator()->allocate(); + weights.allocator()->allocate(); + bias.allocator()->allocate(); + dst.allocator()->allocate(); + + // Fill tensors + library->fill_tensor_uniform(Accessor(src), 0); + library->fill_tensor_uniform(Accessor(weights), 1); + library->fill_tensor_uniform(Accessor(bias), 2); + } + + void TearDown(::benchmark::State &state) override + { + conv_layer.reset(); + + src.allocator()->free(); + weights.allocator()->free(); + bias.allocator()->free(); + dst.allocator()->free(); + + profiler.submit(state); + } + + std::unique_ptr<Function> conv_layer{ nullptr }; + Profiler profiler{}; + +private: + TensorType src{}; + TensorType weights{}; + TensorType bias{}; + TensorType dst{}; +}; +} // namespace benchmark +} // namespace test +} // namespace arm_compute +#endif //__ARM_COMPUTE_TEST_BENCHMARK_CONVOLUTION_LAYER_H__ |