146 lines
8.4 KiB
C++
146 lines
8.4 KiB
C++
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/*
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* Copyright (c) 2018-2019 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/NEON/functions/NEYOLOLayer.h"
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#include "arm_compute/runtime/Tensor.h"
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#include "arm_compute/runtime/TensorAllocator.h"
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#include "tests/NEON/Accessor.h"
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#include "tests/PaddingCalculator.h"
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#include "tests/datasets/ActivationFunctionsDataset.h"
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#include "tests/datasets/ShapeDatasets.h"
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#include "tests/framework/Asserts.h"
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#include "tests/framework/Macros.h"
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#include "tests/framework/datasets/Datasets.h"
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#include "tests/validation/Validation.h"
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#include "tests/validation/fixtures/YOLOLayerFixture.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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namespace
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{
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/** Tolerance */
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constexpr AbsoluteTolerance<float> tolerance_f32(1e-6f);
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#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
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constexpr RelativeTolerance<float> tolerance_f16(0.01f);
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#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
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/** Floating point data sets. */
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const auto YOLODataset = combine(combine(combine(combine(framework::dataset::make("InPlace", { false, true }), framework::dataset::make("ActivationFunction",
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ActivationLayerInfo::ActivationFunction::LOGISTIC)),
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framework::dataset::make("AlphaBeta", { 0.5f, 1.f })),
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framework::dataset::make("Classes", 40)),
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framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
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} // namespace
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TEST_SUITE(NEON)
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TEST_SUITE(YOLOLayer)
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// *INDENT-OFF*
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// clang-format off
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DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
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framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::U8), // Wrong input data type
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TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), // Invalid activation info
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TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), // Wrong output data type
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TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), // wrong number of classes
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TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), // Mismatching shapes
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TensorInfo(TensorShape(17U, 16U, 6U), 1, DataType::F32), // shrink window
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TensorInfo(TensorShape(17U, 16U, 7U), 1, DataType::F32), // channels not multiple of (num_classes + 5)
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TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), // Valid
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}),
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framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32),
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TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32),
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TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::U16),
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TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32),
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TensorInfo(TensorShape(16U, 11U, 6U), 1, DataType::F32),
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TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32),
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TensorInfo(TensorShape(16U, 16U, 7U), 1, DataType::F32),
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TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32),
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})),
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framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC),
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC),
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC),
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC),
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC),
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC),
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC),
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})),
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framework::dataset::make("Numclasses", { 1, 1, 1, 0, 1, 1, 1, 1
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})),
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framework::dataset::make("Expected", { false, false, false, false, false, false, false, true})),
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input_info, output_info, act_info, num_classes, expected)
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{
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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);
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}
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// clang-format on
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// *INDENT-ON*
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template <typename T>
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using NEYOLOLayerFixture = YOLOValidationFixture<Tensor, Accessor, NEYOLOLayer, T>;
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TEST_SUITE(Float)
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TEST_SUITE(FP32)
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FIXTURE_DATA_TEST_CASE(RunSmall, NEYOLOLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make("DataType",
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DataType::F32)))
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{
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// Validate output
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validate(Accessor(_target), _reference, tolerance_f32);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, NEYOLOLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make("DataType",
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DataType::F32)))
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{
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// Validate output
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validate(Accessor(_target), _reference, tolerance_f32);
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}
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TEST_SUITE_END() // FP32
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#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
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TEST_SUITE(FP16)
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FIXTURE_DATA_TEST_CASE(RunSmall, NEYOLOLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make("DataType",
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DataType::F16)))
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{
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// Validate output
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validate(Accessor(_target), _reference, tolerance_f16);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, NEYOLOLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make("DataType",
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DataType::F16)))
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{
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// Validate output
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validate(Accessor(_target), _reference, tolerance_f16);
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}
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TEST_SUITE_END() // FP16
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#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
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TEST_SUITE_END() // Float
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TEST_SUITE_END() // YOLOLayer
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TEST_SUITE_END() // NEON
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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