From e96e4f0e49a3571f823927913dde173513baee72 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 --- tests/validation/CPP/NonMaximalSuppression.cpp | 144 +++++++++++++++++++++++++ 1 file changed, 144 insertions(+) create mode 100644 tests/validation/CPP/NonMaximalSuppression.cpp (limited to 'tests/validation/CPP') diff --git a/tests/validation/CPP/NonMaximalSuppression.cpp b/tests/validation/CPP/NonMaximalSuppression.cpp new file mode 100644 index 0000000000..6cd7b52066 --- /dev/null +++ b/tests/validation/CPP/NonMaximalSuppression.cpp @@ -0,0 +1,144 @@ +/* + * 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. + */ +#include "arm_compute/core/Types.h" +#include "arm_compute/runtime/CPP/functions/CPPDetectionOutputLayer.h" +#include "arm_compute/runtime/Tensor.h" +#include "arm_compute/runtime/TensorAllocator.h" +#include "tests/NEON/Accessor.h" +#include "tests/PaddingCalculator.h" +#include "tests/datasets/ShapeDatasets.h" +#include "tests/framework/Asserts.h" +#include "tests/framework/Macros.h" +#include "tests/framework/datasets/Datasets.h" +#include "tests/validation/Validation.h" +#include "tests/validation/fixtures/NonMaxSuppressionFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +const auto max_output_boxes_dataset = framework::dataset::make("MaxOutputBoxes", 1, 10); +const auto score_threshold_dataset = framework::dataset::make("ScoreThreshold", { 0.1f, 0.5f, 0.f, 1.f }); +const auto nms_threshold_dataset = framework::dataset::make("NMSThreshold", { 0.1f, 0.5f, 0.f, 1.f }); +const auto NMSParametersSmall = datasets::Small2DNonMaxSuppressionShapes() * max_output_boxes_dataset * score_threshold_dataset * nms_threshold_dataset; +const auto NMSParametersBig = datasets::Large2DNonMaxSuppressionShapes() * max_output_boxes_dataset * score_threshold_dataset * nms_threshold_dataset; + +} // namespace + +TEST_SUITE(CPP) +TEST_SUITE(NMS) + +// *INDENT-OFF* +// clang-format off +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip( + framework::dataset::make("BoundingBox",{ + TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), + TensorInfo(TensorShape(1U, 4U, 2U), 1, DataType::F32), // invalid shape + TensorInfo(TensorShape(4U, 2U), 1, DataType::S32), // invalid data type + TensorInfo(TensorShape(4U, 3U), 1, DataType::F32), + TensorInfo(TensorShape(4U, 66U), 1, DataType::F32), + TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), + TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), + TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), + TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), + TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), + }), + framework::dataset::make("Scores", { + TensorInfo(TensorShape(100U), 1, DataType::F32), + TensorInfo(TensorShape(37U, 2U, 13U, 27U), 1, DataType::F32), // invalid shape + TensorInfo(TensorShape(4U), 1, DataType::F32), + TensorInfo(TensorShape(3U), 1, DataType::U8), // invalid data type + TensorInfo(TensorShape(66U), 1, DataType::F32), // invalid data type + TensorInfo(TensorShape(100U), 1, DataType::F32), + TensorInfo(TensorShape(100U), 1, DataType::F32), + TensorInfo(TensorShape(100U), 1, DataType::F32), + TensorInfo(TensorShape(100U), 1, DataType::F32), + TensorInfo(TensorShape(100U), 1, DataType::F32), + })), + framework::dataset::make("Indices", { + TensorInfo(TensorShape(100U), 1, DataType::S32), + TensorInfo(TensorShape(100U), 1, DataType::S32), + TensorInfo(TensorShape(4U), 1, DataType::S32), + TensorInfo(TensorShape(3U), 1, DataType::S32), + TensorInfo(TensorShape(200U), 1, DataType::S32), // indices bigger than max bbs, OK because max_output is 66 + TensorInfo(TensorShape(100U), 1, DataType::F32), // invalid data type + TensorInfo(TensorShape(100U), 1, DataType::S32), + TensorInfo(TensorShape(100U), 1, DataType::S32), + TensorInfo(TensorShape(100U), 1, DataType::S32), + TensorInfo(TensorShape(100U), 1, DataType::S32), + + })), + framework::dataset::make("max_output", { + 10U, 2U,4U, 3U,66U, 1U, + 0U, /* invalid, must be greater than 0 */ + 10000U, /* OK, clamped to indices' size */ + 100U, + 10U, + })), + framework::dataset::make("score_threshold", { + 0.1f, 0.4f, 0.2f,0.8f,0.3f, 0.01f, 0.5f, 0.45f, + -1.f, /* invalid value, must be in [0,1] */ + 0.5f, + })), + framework::dataset::make("nms_threshold", { + 0.3f, 0.7f, 0.1f,0.13f,0.2f, 0.97f, 0.76f, 0.87f, 0.1f, + 10.f, /* invalid value, must be in [0,1]*/ + })), + framework::dataset::make("Expected", { + true, false, false, false, true, false, false,true, false, false + })), + + bbox_info, scores_info, indices_info, max_out, score_threshold, nms_threshold, expected) +{ + ARM_COMPUTE_EXPECT(bool(CPPNonMaximumSuppression::validate(&bbox_info.clone()->set_is_resizable(false), + &scores_info.clone()->set_is_resizable(false), + &indices_info.clone()->set_is_resizable(false), + max_out,score_threshold,nms_threshold)) == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + +using CPPNonMaxSuppressionFixture = NMSValidationFixture; + +FIXTURE_DATA_TEST_CASE(RunSmall, CPPNonMaxSuppressionFixture, framework::DatasetMode::PRECOMMIT, NMSParametersSmall) +{ + // Validate output + validate(Accessor(_target), _reference); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, CPPNonMaxSuppressionFixture, framework::DatasetMode::NIGHTLY, NMSParametersBig) +{ + // Validate output + validate(Accessor(_target), _reference); +} + +TEST_SUITE_END() // CPP +TEST_SUITE_END() // NMS +} // namespace validation +} // namespace test +} // namespace arm_compute -- cgit v1.2.1