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Diffstat (limited to 'tests/validation/fixtures/BoundingBoxTransformFixture.h')
| -rw-r--r-- | tests/validation/fixtures/BoundingBoxTransformFixture.h | 173 |
1 files changed, 173 insertions, 0 deletions
diff --git a/tests/validation/fixtures/BoundingBoxTransformFixture.h b/tests/validation/fixtures/BoundingBoxTransformFixture.h new file mode 100644 index 0000000000..b71da8e97d --- /dev/null +++ b/tests/validation/fixtures/BoundingBoxTransformFixture.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_BOUNDINGBOXTRANSFORM_FIXTURE +#define ARM_COMPUTE_TEST_BOUNDINGBOXTRANSFORM_FIXTURE + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "tests/AssetsLibrary.h" +#include "tests/Globals.h" +#include "tests/IAccessor.h" +#include "tests/framework/Asserts.h" +#include "tests/framework/Fixture.h" +#include "tests/validation/Helpers.h" +#include "tests/validation/reference/BoundingBoxTransform.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class BoundingBoxTransformFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(TensorShape deltas_shape, const BoundingBoxTransformInfo &info, DataType data_type) + { + std::mt19937 gen_target(library->seed()); + _target = compute_target(deltas_shape, data_type, info, gen_target); + + std::mt19937 gen_reference(library->seed()); + _reference = compute_reference(deltas_shape, data_type, info, gen_reference); + } + +protected: + TensorType compute_target(const TensorShape &deltas_shape, DataType data_type, + const BoundingBoxTransformInfo &bbox_info, std::mt19937 &gen) + { + // Create tensors + TensorShape boxes_shape(4, deltas_shape[1]); + TensorType deltas = create_tensor<TensorType>(deltas_shape, data_type); + TensorType boxes = create_tensor<TensorType>(boxes_shape, data_type); + TensorType pred_boxes; + + // Create and configure function + FunctionType bbox_transform; + bbox_transform.configure(&boxes, &pred_boxes, &deltas, bbox_info); + + ARM_COMPUTE_EXPECT(deltas.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(boxes.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(pred_boxes.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Allocate tensors + deltas.allocator()->allocate(); + boxes.allocator()->allocate(); + pred_boxes.allocator()->allocate(); + + ARM_COMPUTE_EXPECT(!deltas.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!boxes.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Fill tensors + TensorShape img_shape(bbox_info.scale() * bbox_info.img_width(), bbox_info.scale() * bbox_info.img_height()); + generate_boxes(AccessorType(boxes), img_shape, boxes_shape[1], gen); + generate_deltas(AccessorType(deltas), AccessorType(boxes), img_shape, deltas_shape[1], deltas_shape[0] / 4, gen); + + // Compute function + bbox_transform.run(); + + return pred_boxes; + } + + SimpleTensor<T> compute_reference(const TensorShape &deltas_shape, + DataType data_type, + const BoundingBoxTransformInfo &bbox_info, std::mt19937 &gen) + { + // Create reference tensor + TensorShape boxes_shape(4, deltas_shape[1]); + SimpleTensor<T> boxes{ boxes_shape, data_type }; + SimpleTensor<T> deltas{ deltas_shape, data_type }; + + // Fill reference tensor + TensorShape img_shape(bbox_info.scale() * bbox_info.img_width(), bbox_info.scale() * bbox_info.img_height()); + generate_boxes(boxes, img_shape, boxes_shape[1], gen); + generate_deltas(deltas, boxes, img_shape, deltas_shape[1], deltas_shape[0] / 4, gen); + + return reference::bounding_box_transform(boxes, deltas, bbox_info); + } + + TensorType _target{}; + SimpleTensor<T> _reference{}; + +private: + template <typename U> + void generate_deltas(U &&deltas, U &&boxes, const TensorShape &image_shape, size_t num_boxes, size_t num_classes, std::mt19937 &gen) + { + T *deltas_ptr = static_cast<T *>(deltas.data()); + T *boxes_ptr = static_cast<T *>(boxes.data()); + + std::uniform_int_distribution<> dist_x1(0, image_shape[0] - 1); + std::uniform_int_distribution<> dist_y1(0, image_shape[1] - 1); + std::uniform_int_distribution<> dist_w(1, image_shape[0]); + std::uniform_int_distribution<> dist_h(1, image_shape[1]); + + for(size_t i = 0; i < num_boxes; ++i) + { + const T ex_width = boxes_ptr[4 * i + 2] - boxes_ptr[4 * i] + T(1); + const T ex_height = boxes_ptr[4 * i + 3] - boxes_ptr[4 * i + 1] + T(1); + const T ex_ctr_x = boxes_ptr[4 * i] + T(0.5) * ex_width; + const T ex_ctr_y = boxes_ptr[4 * i + 1] + T(0.5) * ex_height; + + for(size_t j = 0; j < num_classes; ++j) + { + const T x1 = T(dist_x1(gen)); + const T y1 = T(dist_y1(gen)); + const T width = T(dist_w(gen)); + const T height = T(dist_h(gen)); + const T ctr_x = x1 + T(0.5) * width; + const T ctr_y = y1 + T(0.5) * height; + + deltas_ptr[4 * num_classes * i + 4 * j] = (ctr_x - ex_ctr_x) / ex_width; + deltas_ptr[4 * num_classes * i + 4 * j + 1] = (ctr_y - ex_ctr_y) / ex_height; + deltas_ptr[4 * num_classes * i + 4 * j + 2] = log(width / ex_width); + deltas_ptr[4 * num_classes * i + 4 * j + 3] = log(height / ex_height); + } + } + } + + template <typename U> + void generate_boxes(U &&boxes, const TensorShape &image_shape, size_t num_boxes, std::mt19937 &gen) + { + T *boxes_ptr = (T *)boxes.data(); + + std::uniform_int_distribution<> dist_x1(0, image_shape[0] - 1); + std::uniform_int_distribution<> dist_y1(0, image_shape[1] - 1); + std::uniform_int_distribution<> dist_w(1, image_shape[0]); + std::uniform_int_distribution<> dist_h(1, image_shape[1]); + + for(size_t i = 0; i < num_boxes; ++i) + { + boxes_ptr[4 * i] = dist_x1(gen); + boxes_ptr[4 * i + 1] = dist_y1(gen); + boxes_ptr[4 * i + 2] = boxes_ptr[4 * i] + dist_w(gen) - 1; + boxes_ptr[4 * i + 3] = boxes_ptr[4 * i + 1] + dist_h(gen) - 1; + } + } +}; + +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_BOUNDINGBOXTRANSFORM_FIXTURE */ |