From d85a77a546783ab28df9eb6347f855cc54f6192d Mon Sep 17 00:00:00 2001 From: Pablo Tello Date: Fri, 21 Dec 2018 16:47:23 +0000 Subject: COMPMID-1766: Implemented CPP Non Max Suppression Change-Id: I2d2b684d464f7b3bb1f91cfd29952f612d65f11f Signed-off-by: Pablo Tello Reviewed-on: https://review.mlplatform.org/708 Reviewed-by: VidhyaSudhan Loganathan Tested-by: Arm Jenkins --- .../validation/fixtures/NonMaxSuppressionFixture.h | 124 +++++++++++++++++++++ 1 file changed, 124 insertions(+) create mode 100644 tests/validation/fixtures/NonMaxSuppressionFixture.h (limited to 'tests/validation/fixtures/NonMaxSuppressionFixture.h') diff --git a/tests/validation/fixtures/NonMaxSuppressionFixture.h b/tests/validation/fixtures/NonMaxSuppressionFixture.h new file mode 100644 index 0000000000..9299ed62a4 --- /dev/null +++ b/tests/validation/fixtures/NonMaxSuppressionFixture.h @@ -0,0 +1,124 @@ +/* + * 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 + +class NMSValidationFixture : public framework::Fixture +{ +public: + template + 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 + 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(input_shape, DataType::F32); + TensorType scores = create_tensor(scores_shape, DataType::F32); + TensorType indices = create_tensor(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 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 bboxes{ input_shape, DataType::F32 }; + SimpleTensor scores{ scores_shape, DataType::F32 }; + SimpleTensor 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 _reference{}; +}; + +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_NON_MAX_SUPPRESSION_FIXTURE */ -- cgit v1.2.1