| /* |
| * 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_SOBEL_FIXTURE |
| #define ARM_COMPUTE_TEST_SOBEL_FIXTURE |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| #include "tests/Globals.h" |
| #include "tests/Types.h" |
| #include "tests/Utils.h" |
| #include "tests/framework/Fixture.h" |
| |
| namespace arm_compute |
| { |
| class CLSobel3x3; |
| class CLSobel5x5; |
| class CLSobel7x7; |
| class NESobel3x3; |
| class NESobel5x5; |
| class NESobel7x7; |
| |
| namespace test |
| { |
| namespace benchmark |
| { |
| namespace |
| { |
| template <typename Function> |
| struct info; |
| |
| template <> |
| struct info<NESobel3x3> |
| { |
| static const Format dst_format = Format::S16; |
| }; |
| |
| template <> |
| struct info<CLSobel3x3> |
| { |
| static const Format dst_format = Format::S16; |
| }; |
| |
| template <> |
| struct info<NESobel5x5> |
| { |
| static const Format dst_format = Format::S16; |
| }; |
| |
| template <> |
| struct info<CLSobel5x5> |
| { |
| static const Format dst_format = Format::S16; |
| }; |
| |
| template <> |
| struct info<NESobel7x7> |
| { |
| static const Format dst_format = Format::S32; |
| }; |
| |
| template <> |
| struct info<CLSobel7x7> |
| { |
| static const Format dst_format = Format::S32; |
| }; |
| } // namespace |
| |
| template <typename TensorType, typename Function, typename Accessor> |
| class SobelFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(const TensorShape &input_shape, BorderMode border_mode, GradientDimension gradient_dimension, Format input_format) |
| { |
| // Generate a random constant value |
| std::mt19937 gen(library->seed()); |
| std::uniform_int_distribution<uint8_t> int_dist(0, 255); |
| const uint8_t constant_border_value = int_dist(gen); |
| |
| // Create source tensor |
| src = create_tensor<TensorType>(input_shape, input_format); |
| |
| // Create destination tensors and configure function |
| switch(gradient_dimension) |
| { |
| case GradientDimension::GRAD_X: |
| dst_x = create_tensor<TensorType>(input_shape, info<Function>::dst_format); |
| sobel_func.configure(&src, &dst_x, nullptr, border_mode, constant_border_value); |
| break; |
| case GradientDimension::GRAD_Y: |
| dst_y = create_tensor<TensorType>(input_shape, info<Function>::dst_format); |
| sobel_func.configure(&src, nullptr, &dst_y, border_mode, constant_border_value); |
| break; |
| case GradientDimension::GRAD_XY: |
| dst_x = create_tensor<TensorType>(input_shape, info<Function>::dst_format); |
| dst_y = create_tensor<TensorType>(input_shape, info<Function>::dst_format); |
| sobel_func.configure(&src, &dst_x, &dst_y, border_mode, constant_border_value); |
| break; |
| default: |
| ARM_COMPUTE_ERROR("Gradient dimension not supported"); |
| } |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| dst_x.allocator()->allocate(); |
| dst_y.allocator()->allocate(); |
| } |
| |
| void run() |
| { |
| sobel_func.run(); |
| } |
| |
| void sync() |
| { |
| sync_if_necessary<TensorType>(); |
| sync_tensor_if_necessary<TensorType>(dst_x); |
| sync_tensor_if_necessary<TensorType>(dst_y); |
| } |
| |
| void teardown() |
| { |
| src.allocator()->free(); |
| dst_x.allocator()->free(); |
| dst_y.allocator()->free(); |
| } |
| |
| private: |
| TensorType src{}; |
| TensorType dst_x{}; |
| TensorType dst_y{}; |
| Function sobel_func{}; |
| }; |
| } // namespace benchmark |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_SOBEL_FIXTURE */ |