From 32af1f8ed8466647abb4f0532c70f72530a1a9ca Mon Sep 17 00:00:00 2001 From: John Richardson Date: Tue, 5 Jun 2018 12:47:20 +0100 Subject: COMPMID-761: Add CL/NEON Convolution benchmark tests Change-Id: I684baff3bfdff2244e04facd2d85d84609b7caff Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/134769 Reviewed-by: Anthony Barbier Tested-by: Jenkins --- tests/benchmark/fixtures/ConvolutionFixture.h | 173 ++++++++++++++++++++++++++ 1 file changed, 173 insertions(+) create mode 100644 tests/benchmark/fixtures/ConvolutionFixture.h (limited to 'tests/benchmark/fixtures/ConvolutionFixture.h') diff --git a/tests/benchmark/fixtures/ConvolutionFixture.h b/tests/benchmark/fixtures/ConvolutionFixture.h new file mode 100644 index 0000000000..3f9c2a4f27 --- /dev/null +++ b/tests/benchmark/fixtures/ConvolutionFixture.h @@ -0,0 +1,173 @@ +/* + * Copyright (c) 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_CONVOLUTIONFIXTURE +#define ARM_COMPUTE_TEST_CONVOLUTIONFIXTURE + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "tests/Globals.h" +#include "tests/Utils.h" +#include "tests/framework/Fixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace benchmark +{ +/** Parent fixture that can be used for NEON and CL */ +template +class ConvolutionFixture : public framework::Fixture +{ +public: + template + void setup(TensorShape src_shape, DataType output_data_type, BorderMode border_mode, unsigned int width, unsigned int height, bool is_separable = false) + { + std::mt19937 gen(library->seed()); + const uint8_t constant_border_value = 0; + + // Generate random scale value between 1 and 255. + std::uniform_int_distribution distribution_scale(1, 255); + const uint32_t scale = distribution_scale(gen); + + ARM_COMPUTE_ERROR_ON(3 != width && 5 != width && 7 != width && 9 != width); + ARM_COMPUTE_ERROR_ON(3 != height && 5 != height && 7 != height && 9 != height); + + std::vector conv(width * height); + + _width = width; + _height = height; + + if(is_separable) + { + init_separable_conv(conv.data(), width, height, seed); + } + else + { + init_conv(conv.data(), width, height, seed); + } + + // Create tensors + src = create_tensor(src_shape, DataType::U8); + dst = create_tensor(src_shape, output_data_type); + + // Configure function + configure_target(convolution_func, src, dst, conv.data(), scale, border_mode, constant_border_value); + + // Allocate tensors + src.allocator()->allocate(); + dst.allocator()->allocate(); + + // Fill tensors + library->fill_tensor_uniform(Accessor(src), 0); + library->fill_tensor_uniform(Accessor(dst), 1); + } + + void run() + { + convolution_func.run(); + } + + void sync() + { + sync_if_necessary(); + sync_tensor_if_necessary(dst); + } + +protected: + virtual void configure_target(Function &func, TensorType &src, TensorType &dst, const int16_t *conv, uint32_t scale, + BorderMode border_mode, uint8_t border_value) = 0; + +protected: + unsigned int _width{}; + unsigned int _height{}; + Function convolution_func{}; + +private: + const std::random_device::result_type seed = 0; + TensorType src{}; + TensorType dst{}; +}; + +/** Child fixture used for square convolutions */ +template +class ConvolutionSquareFixture : public ConvolutionFixture +{ +public: + template + void setup(TensorShape src_shape, DataType output_data_type, BorderMode border_mode, unsigned int width) + { + ConvolutionFixture::setup(src_shape, output_data_type, border_mode, width, width); + } + +protected: + void configure_target(Function &func, TensorType &src, TensorType &dst, const int16_t *conv, uint32_t scale, + BorderMode border_mode, uint8_t constant_border_value) + { + this->convolution_func.configure(&src, &dst, conv, scale, border_mode, constant_border_value); + } +}; + +/** Child fixture used for rectangular convolutions */ +template +class ConvolutionRectangleFixture : public ConvolutionFixture +{ +public: + template + void setup(TensorShape src_shape, DataType output_data_type, BorderMode border_mode, unsigned int width, unsigned int height) + { + ConvolutionFixture::setup(src_shape, output_data_type, border_mode, width, height); + } + +protected: + void configure_target(Function &func, TensorType &src, TensorType &dst, const int16_t *conv, uint32_t scale, + BorderMode border_mode, uint8_t constant_border_value) + { + this->convolution_func.configure(&src, &dst, conv, this->_width, this->_height, scale, border_mode, constant_border_value); + } +}; + +/** Child fixture used for separable convolutions */ +template +class ConvolutionSeperableFixture : public ConvolutionFixture +{ +public: + template + void setup(TensorShape src_shape, DataType output_data_type, BorderMode border_mode, unsigned int width) + { + ConvolutionFixture::setup(src_shape, output_data_type, border_mode, width, width, true); + } + +protected: + void configure_target(Function &func, TensorType &src, TensorType &dst, const int16_t *conv, uint32_t scale, + BorderMode border_mode, uint8_t constant_border_value) + { + this->convolution_func.configure(&src, &dst, conv, scale, border_mode, constant_border_value); + } +}; + +} // namespace benchmark +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_CONVOLUTIONFIXTURE */ -- cgit v1.2.1