From d0bbf0351e560bfd35f248ac6137ce88fff23c30 Mon Sep 17 00:00:00 2001 From: Georgios Pinitas Date: Mon, 16 Dec 2019 17:00:49 +0000 Subject: COMPMID-2932: Clear untracked benchmarks - Removes untracked benchmarks - Leaves a couple per backend for public show-case Signed-off-by: Georgios Pinitas Change-Id: I5fac2aec8617b03131ec0f3d64ed40fbbd4a63c2 Reviewed-on: https://review.mlplatform.org/c/2492 Tested-by: Arm Jenkins Reviewed-by: Giuseppe Rossini Reviewed-by: Michalis Spyrou Comments-Addressed: Michalis Spyrou Comments-Addressed: Arm Jenkins --- tests/benchmark/fixtures/ConvolutionFixture.h | 173 -------------------------- 1 file changed, 173 deletions(-) delete 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 deleted file mode 100644 index f355168ec1..0000000000 --- a/tests/benchmark/fixtures/ConvolutionFixture.h +++ /dev/null @@ -1,173 +0,0 @@ -/* - * Copyright (c) 2018-2019 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(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(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(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(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(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