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-rw-r--r--tests/validation/CPP/NonMaximalSuppression.cpp144
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diff --git a/tests/validation/CPP/NonMaximalSuppression.cpp b/tests/validation/CPP/NonMaximalSuppression.cpp
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--- a/tests/validation/CPP/NonMaximalSuppression.cpp
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-/*
- * 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
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