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Diffstat (limited to 'tests/validation/fixtures/NonMaxSuppressionFixture.h')
-rw-r--r-- | tests/validation/fixtures/NonMaxSuppressionFixture.h | 124 |
1 files changed, 0 insertions, 124 deletions
diff --git a/tests/validation/fixtures/NonMaxSuppressionFixture.h b/tests/validation/fixtures/NonMaxSuppressionFixture.h deleted file mode 100644 index 9299ed62a4..0000000000 --- a/tests/validation/fixtures/NonMaxSuppressionFixture.h +++ /dev/null @@ -1,124 +0,0 @@ -/* - * Copyright (c) 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_NON_MAX_SUPPRESSION_FIXTURE -#define ARM_COMPUTE_TEST_NON_MAX_SUPPRESSION_FIXTURE - -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/TensorShape.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/runtime/Tensor.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/reference/NonMaxSuppression.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType> - -class NMSValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape input_shape, unsigned int max_output_size, float score_threshold, float nms_threshold) - { - ARM_COMPUTE_ERROR_ON(max_output_size == 0); - ARM_COMPUTE_ERROR_ON(input_shape.num_dimensions() != 2); - const TensorShape output_shape(max_output_size); - const TensorShape scores_shape(input_shape[1]); - _target = compute_target(input_shape, scores_shape, output_shape, max_output_size, score_threshold, nms_threshold); - _reference = compute_reference(input_shape, scores_shape, output_shape, max_output_size, score_threshold, nms_threshold); - } - -protected: - template <typename U> - void fill(U &&tensor, int i, int lo, int hi) - { - std::uniform_real_distribution<> distribution(lo, hi); - library->fill_boxes(tensor, distribution, i); - } - - TensorType compute_target(const TensorShape input_shape, const TensorShape scores_shape, const TensorShape output_shape, - unsigned int max_output_size, float score_threshold, float nms_threshold) - { - // Create tensors - TensorType bboxes = create_tensor<TensorType>(input_shape, DataType::F32); - TensorType scores = create_tensor<TensorType>(scores_shape, DataType::F32); - TensorType indices = create_tensor<TensorType>(output_shape, DataType::S32); - - // Create and configure function - FunctionType nms_func; - nms_func.configure(&bboxes, &scores, &indices, max_output_size, score_threshold, nms_threshold); - - ARM_COMPUTE_EXPECT(bboxes.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(indices.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(scores.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Allocate tensors - bboxes.allocator()->allocate(); - indices.allocator()->allocate(); - scores.allocator()->allocate(); - - ARM_COMPUTE_EXPECT(!bboxes.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!indices.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!scores.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Fill tensors - fill(AccessorType(bboxes), 0, 0.f, 1.f); - fill(AccessorType(scores), 1, 0.f, 1.f); - - // Compute function - nms_func.run(); - return indices; - } - - SimpleTensor<int> compute_reference(const TensorShape input_shape, const TensorShape scores_shape, const TensorShape output_shape, - unsigned int max_output_size, float score_threshold, float nms_threshold) - { - // Create reference - SimpleTensor<float> bboxes{ input_shape, DataType::F32 }; - SimpleTensor<float> scores{ scores_shape, DataType::F32 }; - SimpleTensor<int> indices{ output_shape, DataType::S32 }; - - // Fill reference - fill(bboxes, 0, 0.f, 1.f); - fill(scores, 1, 0.f, 1.f); - - return reference::non_max_suppression(bboxes, scores, indices, max_output_size, score_threshold, nms_threshold); - } - - TensorType _target{}; - SimpleTensor<int> _reference{}; -}; - -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_NON_MAX_SUPPRESSION_FIXTURE */ |