| /* |
| * Copyright (c) 2019-2021 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/NEON/functions/NEBoundingBoxTransform.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "arm_compute/runtime/TensorAllocator.h" |
| #include "tests/Globals.h" |
| #include "tests/NEON/Accessor.h" |
| #include "tests/datasets/ShapeDatasets.h" |
| #include "tests/framework/Macros.h" |
| #include "tests/framework/datasets/Datasets.h" |
| #include "tests/validation/Validation.h" |
| #include "tests/validation/fixtures/BoundingBoxTransformFixture.h" |
| #include "utils/TypePrinter.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| RelativeTolerance<float> relative_tolerance_f32(0.01f); |
| AbsoluteTolerance<float> absolute_tolerance_f32(0.001f); |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| RelativeTolerance<half> relative_tolerance_f16(half(0.2)); |
| AbsoluteTolerance<float> absolute_tolerance_f16(half(0.02f)); |
| #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| |
| constexpr AbsoluteTolerance<uint16_t> tolerance_qasymm16(1); |
| |
| // *INDENT-OFF* |
| // clang-format off |
| const auto BboxInfoDataset = framework::dataset::make("BboxInfo", { BoundingBoxTransformInfo(20U, 20U, 2U, true), |
| BoundingBoxTransformInfo(128U, 128U, 4U, true), |
| BoundingBoxTransformInfo(800U, 600U, 1U, false), |
| BoundingBoxTransformInfo(800U, 600U, 2U, true, { { 1.0, 0.5, 1.5, 2.0 } }), |
| BoundingBoxTransformInfo(800U, 600U, 4U, false, { { 1.0, 0.5, 1.5, 2.0 } }), |
| BoundingBoxTransformInfo(800U, 600U, 4U, false, { { 1.0, 0.5, 1.5, 2.0 } }, true) |
| }); |
| |
| const auto DeltaDataset = framework::dataset::make("DeltasShape", { TensorShape(36U, 1U), |
| TensorShape(36U, 2U), |
| TensorShape(36U, 2U), |
| TensorShape(40U, 1U), |
| TensorShape(40U, 20U), |
| TensorShape(40U, 100U), |
| TensorShape(40U, 200U) |
| }); |
| // clang-format on |
| // *INDENT-ON* |
| } // namespace |
| |
| TEST_SUITE(NEON) |
| TEST_SUITE(BBoxTransform) |
| |
| // *INDENT-OFF* |
| // clang-format off |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip( |
| framework::dataset::make("BoxesInfo", { TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), |
| TensorInfo(TensorShape(5U, 128U), 1, DataType::F32), // Wrong number of box fields |
| TensorInfo(TensorShape(4U, 128U), 1, DataType::F16), // Wrong data type |
| TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), // Wrong number of classes |
| TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), // Deltas and predicted boxes have different dimensions |
| TensorInfo(TensorShape(4U, 128U), 1, DataType::F32)}), // Scaling is zero |
| framework::dataset::make("PredBoxesInfo",{ TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), |
| TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), |
| TensorInfo(TensorShape(127U, 128U), 1, DataType::F32), |
| TensorInfo(TensorShape(128U, 100U), 1, DataType::F32), |
| TensorInfo(TensorShape(128U, 100U), 1, DataType::F32), |
| TensorInfo(TensorShape(128U, 128U), 1, DataType::F32)})), |
| framework::dataset::make("DeltasInfo", { TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), |
| TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), |
| TensorInfo(TensorShape(127U, 128U), 1, DataType::F32), |
| TensorInfo(TensorShape(128U, 100U), 1, DataType::F32), |
| TensorInfo(TensorShape(128U, 128U), 1, DataType::F32), |
| TensorInfo(TensorShape(128U, 128U), 1, DataType::F32)})), |
| framework::dataset::make("BoundingBoxTransofmInfo", { BoundingBoxTransformInfo(800.f, 600.f, 1.f), |
| BoundingBoxTransformInfo(800.f, 600.f, 1.f), |
| BoundingBoxTransformInfo(800.f, 600.f, 1.f), |
| BoundingBoxTransformInfo(800.f, 600.f, 1.f), |
| BoundingBoxTransformInfo(800.f, 600.f, 0.f)})), |
| framework::dataset::make("Expected", { true, false, false, false, false, false})), |
| boxes_info, pred_boxes_info, deltas_info, bbox_info, expected) |
| { |
| ARM_COMPUTE_EXPECT(bool(NEBoundingBoxTransform::validate(&boxes_info.clone()->set_is_resizable(true), &pred_boxes_info.clone()->set_is_resizable(true), &deltas_info.clone()->set_is_resizable(true), bbox_info)) == expected, framework::LogLevel::ERRORS); |
| } |
| // clang-format on |
| // *INDENT-ON* |
| |
| template <typename T> |
| using NEBoundingBoxTransformFixture = BoundingBoxTransformFixture<Tensor, Accessor, NEBoundingBoxTransform, T>; |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(BoundingBox, NEBoundingBoxTransformFixture<float>, framework::DatasetMode::ALL, |
| combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make("DataType", { DataType::F32 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, relative_tolerance_f32, 0.f, absolute_tolerance_f32); |
| } |
| TEST_SUITE_END() // FP32 |
| |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(BoundingBox, NEBoundingBoxTransformFixture<half>, framework::DatasetMode::ALL, |
| combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make("DataType", { DataType::F16 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, relative_tolerance_f16, 0.03f, absolute_tolerance_f16); |
| } |
| TEST_SUITE_END() // FP16 |
| #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| |
| TEST_SUITE_END() // Float |
| |
| TEST_SUITE(Quantized) |
| TEST_SUITE(QASYMM16) |
| template <typename T> |
| using NEBoundingBoxTransformQuantizedFixture = BoundingBoxTransformQuantizedFixture<Tensor, Accessor, NEBoundingBoxTransform, T>; |
| |
| FIXTURE_DATA_TEST_CASE(BoundingBox, NEBoundingBoxTransformQuantizedFixture<uint16_t>, framework::DatasetMode::ALL, |
| combine(combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make("DataType", { DataType::QASYMM16 })), |
| framework::dataset::make("DeltasQuantInfo", { QuantizationInfo(0.125f, 0) }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_qasymm16); |
| } |
| TEST_SUITE_END() // QASYMM16 |
| TEST_SUITE_END() // Quantized |
| |
| TEST_SUITE_END() // BBoxTransform |
| TEST_SUITE_END() // Neon |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |