| /* |
| * Copyright (c) 2018 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/CL/CLTensor.h" |
| #include "arm_compute/runtime/CL/CLTensorAllocator.h" |
| #include "arm_compute/runtime/CL/functions/CLYOLOLayer.h" |
| #include "tests/CL/CLAccessor.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 |
| { |
| /** Define tolerance of the yolo layer. |
| * |
| * @param[in] activation The activation function used. |
| * @param[in] data_type Data type. |
| * |
| * @return Tolerance depending on the activation function. |
| */ |
| AbsoluteTolerance<float> tolerance(ActivationLayerInfo::ActivationFunction activation, DataType data_type) |
| { |
| constexpr float epsilon = 1e-6f; |
| |
| switch(activation) |
| { |
| case ActivationLayerInfo::ActivationFunction::LINEAR: |
| return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.2f : epsilon); |
| case ActivationLayerInfo::ActivationFunction::SQUARE: |
| return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.1f : epsilon); |
| case ActivationLayerInfo::ActivationFunction::LOGISTIC: |
| return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.001f : epsilon); |
| case ActivationLayerInfo::ActivationFunction::LEAKY_RELU: |
| return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.00001f : epsilon); |
| case ActivationLayerInfo::ActivationFunction::SOFT_RELU: |
| case ActivationLayerInfo::ActivationFunction::SQRT: |
| return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.01f : 0.00001f); |
| case ActivationLayerInfo::ActivationFunction::TANH: |
| return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.001f : 0.00001f); |
| default: |
| return AbsoluteTolerance<float>(epsilon); |
| } |
| } |
| |
| /** Floating point data sets. */ |
| const auto YOLODataset = combine(combine(combine(combine(framework::dataset::make("InPlace", { false, true }), datasets::ActivationFunctions()), |
| framework::dataset::make("AlphaBeta", { 0.5f, 1.f })), |
| framework::dataset::make("Classes", 40)), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })); |
| } // namespace |
| |
| TEST_SUITE(CL) |
| TEST_SUITE(YOLOLayer) |
| |
| template <typename T> |
| using CLYOLOLayerFixture = YOLOValidationFixture<CLTensor, CLAccessor, CLYOLOLayer, T>; |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLYOLOLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make("DataType", |
| DataType::F32))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLYOLOLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make("DataType", |
| DataType::F32))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); |
| } |
| TEST_SUITE_END() // FP32 |
| |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLYOLOLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make("DataType", |
| DataType::F16))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLYOLOLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make("DataType", |
| DataType::F16))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); |
| } |
| TEST_SUITE_END() // FP16 |
| TEST_SUITE_END() // Float |
| |
| TEST_SUITE_END() // YOLOLayer |
| TEST_SUITE_END() // CL |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |