| /* |
| * Copyright (c) 2018-2019 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/NEON/functions/NEYOLOLayer.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/ActivationFunctionsDataset.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/YOLOLayerFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| /** Tolerance */ |
| constexpr AbsoluteTolerance<float> tolerance_f32(1e-6f); |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| constexpr RelativeTolerance<float> tolerance_f16(0.01f); |
| #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| |
| /** Floating point data sets. */ |
| const auto YOLODataset = combine(combine(combine(combine(framework::dataset::make("InPlace", { false, true }), framework::dataset::make("ActivationFunction", |
| ActivationLayerInfo::ActivationFunction::LOGISTIC)), |
| framework::dataset::make("AlphaBeta", { 0.5f, 1.f })), |
| framework::dataset::make("Classes", 40)), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })); |
| } // namespace |
| |
| TEST_SUITE(NEON) |
| TEST_SUITE(YOLOLayer) |
| |
| // *INDENT-OFF* |
| // clang-format off |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip( |
| framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::U8), // Wrong input data type |
| TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), // Invalid activation info |
| TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), // Wrong output data type |
| TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), // wrong number of classes |
| TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), // Mismatching shapes |
| TensorInfo(TensorShape(17U, 16U, 6U), 1, DataType::F32), // shrink window |
| TensorInfo(TensorShape(17U, 16U, 7U), 1, DataType::F32), // channels not multiple of (num_classes + 5) |
| TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), // Valid |
| }), |
| framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::U16), |
| TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 11U, 6U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 16U, 7U), 1, DataType::F32), |
| TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), |
| })), |
| framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), |
| })), |
| framework::dataset::make("Numclasses", { 1, 1, 1, 0, 1, 1, 1, 1 |
| })), |
| framework::dataset::make("Expected", { false, false, false, false, false, false, false, true})), |
| input_info, output_info, act_info, num_classes, expected) |
| { |
| ARM_COMPUTE_EXPECT(bool(NEYOLOLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), act_info, num_classes)) == expected, framework::LogLevel::ERRORS); |
| } |
| // clang-format on |
| // *INDENT-ON* |
| |
| template <typename T> |
| using NEYOLOLayerFixture = YOLOValidationFixture<Tensor, Accessor, NEYOLOLayer, T>; |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEYOLOLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make("DataType", |
| DataType::F32))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_f32); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEYOLOLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make("DataType", |
| DataType::F32))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_f32); |
| } |
| TEST_SUITE_END() // FP32 |
| |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEYOLOLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make("DataType", |
| DataType::F16))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_f16); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEYOLOLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make("DataType", |
| DataType::F16))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_f16); |
| } |
| TEST_SUITE_END() // FP16 |
| #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| TEST_SUITE_END() // Float |
| |
| TEST_SUITE_END() // YOLOLayer |
| TEST_SUITE_END() // NEON |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
