167 lines
9.5 KiB
C++
167 lines
9.5 KiB
C++
/*
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* Copyright (c) 2019-2020 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/NEROIAlignLayer.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/Globals.h"
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#include "tests/NEON/Accessor.h"
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#include "tests/datasets/ROIDataset.h"
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#include "tests/datasets/ShapeDatasets.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/ROIAlignLayerFixture.h"
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#include "utils/TypePrinter.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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RelativeTolerance<float> relative_tolerance_f32(0.01f);
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AbsoluteTolerance<float> absolute_tolerance_f32(0.001f);
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#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
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RelativeTolerance<float> relative_tolerance_f16(0.01f);
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AbsoluteTolerance<float> absolute_tolerance_f16(0.001f);
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#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
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constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1);
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} // namespace
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TEST_SUITE(NEON)
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TEST_SUITE(RoiAlign)
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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(250U, 128U, 3U), 1, DataType::F32),
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TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching data type input/rois
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TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching data type input/output
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TensorInfo(TensorShape(250U, 128U, 2U), 1, DataType::F32), // Mismatching depth size input/output
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TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching number of rois and output batch size
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TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Invalid number of values per ROIS
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TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching height and width input/output
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}),
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framework::dataset::make("RoisInfo", { TensorInfo(TensorShape(5, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(5, 4U), 1, DataType::F16),
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TensorInfo(TensorShape(5, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(5, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(5, 10U), 1, DataType::F32),
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TensorInfo(TensorShape(4, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(5, 4U), 1, DataType::F32),
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})),
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framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F16),
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TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(5U, 5U, 3U, 4U), 1, DataType::F32),
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})),
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framework::dataset::make("PoolInfo", { ROIPoolingLayerInfo(7U, 7U, 1./8),
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ROIPoolingLayerInfo(7U, 7U, 1./8),
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ROIPoolingLayerInfo(7U, 7U, 1./8),
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ROIPoolingLayerInfo(7U, 7U, 1./8),
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ROIPoolingLayerInfo(7U, 7U, 1./8),
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ROIPoolingLayerInfo(7U, 7U, 1./8),
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ROIPoolingLayerInfo(7U, 7U, 1./8),
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})),
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framework::dataset::make("Expected", { true, false, false, false, false, false, false })),
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input_info, rois_info, output_info, pool_info, expected)
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{
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ARM_COMPUTE_EXPECT(bool(NEROIAlignLayer::validate(&input_info.clone()->set_is_resizable(true), &rois_info.clone()->set_is_resizable(true), &output_info.clone()->set_is_resizable(true), pool_info)) == 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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using NEROIAlignLayerFloatFixture = ROIAlignLayerFixture<Tensor, Accessor, NEROIAlignLayer, float, float>;
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TEST_SUITE(Float)
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FIXTURE_DATA_TEST_CASE(SmallROIAlignLayerFloat, NEROIAlignLayerFloatFixture, framework::DatasetMode::ALL,
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framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(),
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framework::dataset::make("DataType", { DataType::F32 })),
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framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
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{
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// Validate output
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validate(Accessor(_target), _reference, relative_tolerance_f32, .02f, absolute_tolerance_f32);
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}
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#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
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using NEROIAlignLayerHalfFixture = ROIAlignLayerFixture<Tensor, Accessor, NEROIAlignLayer, half, half>;
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FIXTURE_DATA_TEST_CASE(SmallROIAlignLayerHalf, NEROIAlignLayerHalfFixture, framework::DatasetMode::ALL,
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framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(),
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framework::dataset::make("DataType", { DataType::F16 })),
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framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
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{
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// Validate output
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validate(Accessor(_target), _reference, relative_tolerance_f16, .02f, absolute_tolerance_f16);
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}
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#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
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TEST_SUITE_END() // Float
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TEST_SUITE(Quantized)
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template <typename T>
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using NEROIAlignLayerQuantizedFixture = ROIAlignLayerQuantizedFixture<Tensor, Accessor, NEROIAlignLayer, T, uint16_t>;
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TEST_SUITE(QASYMM8)
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FIXTURE_DATA_TEST_CASE(Small, NEROIAlignLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL,
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combine(combine(combine(combine(datasets::SmallROIDataset(),
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framework::dataset::make("DataType", { DataType::QASYMM8 })),
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framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
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framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 127) })),
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framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(2.f / 255.f, 120) })))
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{
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// Validate output
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validate(Accessor(_target), _reference, tolerance_qasymm8);
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}
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TEST_SUITE_END() // QASYMM8
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TEST_SUITE(QASYMM8_SIGNED)
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FIXTURE_DATA_TEST_CASE(Small, NEROIAlignLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL,
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combine(combine(combine(combine(datasets::SmallROIDataset(),
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framework::dataset::make("DataType", { DataType::QASYMM8_SIGNED })),
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framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
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framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 127) })),
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framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(2.f / 255.f, 120) })))
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{
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// Validate output
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validate(Accessor(_target), _reference, tolerance_qasymm8);
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}
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TEST_SUITE_END() // QASYMM8_SIGNED
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TEST_SUITE_END() // Quantized
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TEST_SUITE_END() // RoiAlign
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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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