| /* |
| * 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_CANNY_EDGE_FIXTURE |
| #define ARM_COMPUTE_TEST_CANNY_EDGE_FIXTURE |
| |
| #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 |
| { |
| class CLCannyEdge; |
| class NECannyEdge; |
| |
| namespace test |
| { |
| namespace benchmark |
| { |
| template <typename TensorType, typename Function, typename Accessor> |
| class CannyEdgeFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(std::string image, int gradient_size, MagnitudeType norm_type, BorderMode border_mode, bool use_fp16, Format format) |
| { |
| // Load the image (cached by the library if loaded before) |
| const RawTensor &raw = library->get(image, format); |
| |
| src = create_tensor<TensorType>(raw.shape(), format); |
| dst = create_tensor<TensorType>(raw.shape(), format); |
| |
| configure_target<Function>(canny_edge_func, src, dst, gradient_size, static_cast<int>(norm_type) + 1, border_mode, use_fp16); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| library->fill(Accessor(src), raw); |
| } |
| |
| void run() |
| { |
| canny_edge_func.run(); |
| } |
| |
| void sync() |
| { |
| sync_if_necessary<TensorType>(); |
| sync_tensor_if_necessary<TensorType>(dst); |
| } |
| |
| protected: |
| template <typename F, typename std::enable_if<std::is_same<F, NECannyEdge>::value, int>::type = 0> |
| void configure_target(F &func, TensorType &src, TensorType &dst, int gradient_size, int norm_type, BorderMode border_mode, bool use_fp16) |
| { |
| func.configure(&src, &dst, upper_thresh, lower_thresh, gradient_size, norm_type, border_mode, constant_border_value, use_fp16); |
| } |
| |
| template <typename F, typename std::enable_if<std::is_same<F, CLCannyEdge>::value, int>::type = 0> |
| void configure_target(F &func, TensorType &src, TensorType &dst, int gradient_size, int norm_type, BorderMode border_mode, bool use_fp16) |
| { |
| ARM_COMPUTE_UNUSED(use_fp16); |
| ARM_COMPUTE_ERROR_ON(use_fp16); |
| |
| func.configure(&src, &dst, upper_thresh, lower_thresh, gradient_size, norm_type, border_mode, constant_border_value); |
| } |
| |
| private: |
| static const int32_t lower_thresh = 0; |
| static const int32_t upper_thresh = 255; |
| static const uint8_t constant_border_value = 0; |
| |
| TensorType src{}; |
| TensorType dst{}; |
| Function canny_edge_func{}; |
| }; |
| } // namespace benchmark |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_CANNY_EDGE_FIXTURE */ |