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author | Isabella Gottardi <isabella.gottardi@arm.com> | 2019-07-15 17:33:07 +0100 |
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committer | Isabella Gottardi <isabella.gottardi@arm.com> | 2019-07-29 13:01:03 +0000 |
commit | 883bad7ef34c3429b3338d5544a8cdf3b60cd1e8 (patch) | |
tree | 8e8a485c2581137c643003466ea1c467a579ba99 /tests/validation/CPP/NonMaximalSuppression.cpp | |
parent | bd9097db81f229c2d7bbafc2bcf392b7c1c49b58 (diff) | |
download | ComputeLibrary-883bad7ef34c3429b3338d5544a8cdf3b60cd1e8.tar.gz |
COMPMID-1849: Add DetectorPostProcess operator
Part1 - Rework of CPPNonMaximumSuppression
Change-Id: I2b34fbd12188db49b0ac050a12312494eeefd819
Signed-off-by: Isabella Gottardi <isabella.gottardi@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1585
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Diffstat (limited to 'tests/validation/CPP/NonMaximalSuppression.cpp')
-rw-r--r-- | tests/validation/CPP/NonMaximalSuppression.cpp | 144 |
1 files changed, 0 insertions, 144 deletions
diff --git a/tests/validation/CPP/NonMaximalSuppression.cpp b/tests/validation/CPP/NonMaximalSuppression.cpp deleted file mode 100644 index 6cd7b52066..0000000000 --- a/tests/validation/CPP/NonMaximalSuppression.cpp +++ /dev/null @@ -1,144 +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. - */ -#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<Tensor, Accessor, CPPNonMaximumSuppression>; - -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 |