| /* |
| * 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_ROIPOOLINGLAYERFIXTURE |
| #define ARM_COMPUTE_TEST_ROIPOOLINGLAYERFIXTURE |
| |
| #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" |
| |
| #include <vector> |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| /** Fixture that can be used for NEON and CL */ |
| template <typename TensorType, typename Function, typename Accessor, typename Array_T, typename ArrayAccessor> |
| class ROIPoolingLayerFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, const ROIPoolingLayerInfo pool_info, unsigned int num_rois, DataType data_type, int batches) |
| { |
| // Set batched in source and destination shapes |
| const unsigned int fixed_point_position = 4; |
| TensorShape shape_dst; |
| shape.set(shape.num_dimensions(), batches); |
| shape_dst.set(0, pool_info.pooled_width()); |
| shape_dst.set(1, pool_info.pooled_height()); |
| shape_dst.set(2, shape.z()); |
| shape_dst.set(3, num_rois); |
| |
| // Create tensors |
| src = create_tensor<TensorType>(shape, data_type, 1, fixed_point_position); |
| dst = create_tensor<TensorType>(shape_dst, data_type, 1, fixed_point_position); |
| |
| // Create random ROIs |
| std::vector<ROI> rois = generate_random_rois(shape, pool_info, num_rois, 0U); |
| rois_array = arm_compute::support::cpp14::make_unique<Array_T>(num_rois); |
| fill_array(ArrayAccessor(*rois_array), rois); |
| |
| // Create and configure function |
| roi_pool.configure(&src, rois_array.get(), &dst, pool_info); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| // Fill tensors |
| library->fill_tensor_uniform(Accessor(src), 0); |
| } |
| |
| void run() |
| { |
| roi_pool.run(); |
| } |
| |
| void teardown() |
| { |
| src.allocator()->free(); |
| dst.allocator()->free(); |
| } |
| |
| private: |
| TensorType src{}; |
| TensorType dst{}; |
| std::unique_ptr<Array_T> rois_array{}; |
| Function roi_pool{}; |
| }; |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_ROIPOOLINGLAYERFIXTURE */ |