| /* |
| * 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/NEROIAlignLayer.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/ROIDataset.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/ROIAlignLayerFixture.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<float> relative_tolerance_f16(0.01f); |
| AbsoluteTolerance<float> absolute_tolerance_f16(0.001f); |
| #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| |
| constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); |
| constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_s(1); |
| } // namespace |
| |
| TEST_SUITE(NEON) |
| TEST_SUITE(RoiAlign) |
| |
| // *INDENT-OFF* |
| // clang-format off |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip( |
| framework::dataset::make("InputInfo", { TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), |
| TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching data type input/rois |
| TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching data type input/output |
| TensorInfo(TensorShape(250U, 128U, 2U), 1, DataType::F32), // Mismatching depth size input/output |
| TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching number of rois and output batch size |
| TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Invalid number of values per ROIS |
| TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching height and width input/output |
| |
| }), |
| framework::dataset::make("RoisInfo", { TensorInfo(TensorShape(5, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(5, 4U), 1, DataType::F16), |
| TensorInfo(TensorShape(5, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(5, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(5, 10U), 1, DataType::F32), |
| TensorInfo(TensorShape(4, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(5, 4U), 1, DataType::F32), |
| })), |
| framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F16), |
| TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32), |
| TensorInfo(TensorShape(5U, 5U, 3U, 4U), 1, DataType::F32), |
| })), |
| framework::dataset::make("PoolInfo", { ROIPoolingLayerInfo(7U, 7U, 1./8), |
| ROIPoolingLayerInfo(7U, 7U, 1./8), |
| ROIPoolingLayerInfo(7U, 7U, 1./8), |
| ROIPoolingLayerInfo(7U, 7U, 1./8), |
| ROIPoolingLayerInfo(7U, 7U, 1./8), |
| ROIPoolingLayerInfo(7U, 7U, 1./8), |
| ROIPoolingLayerInfo(7U, 7U, 1./8), |
| })), |
| framework::dataset::make("Expected", { true, false, false, false, false, false, false })), |
| input_info, rois_info, output_info, pool_info, expected) |
| { |
| 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); |
| } |
| |
| // clang-format on |
| // *INDENT-ON* |
| |
| using NEROIAlignLayerFloatFixture = ROIAlignLayerFixture<Tensor, Accessor, NEROIAlignLayer, float, float>; |
| |
| TEST_SUITE(Float) |
| FIXTURE_DATA_TEST_CASE(SmallROIAlignLayerFloat, NEROIAlignLayerFloatFixture, framework::DatasetMode::ALL, |
| framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(), |
| framework::dataset::make("DataType", { DataType::F32 })), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, relative_tolerance_f32, .02f, absolute_tolerance_f32); |
| } |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| using NEROIAlignLayerHalfFixture = ROIAlignLayerFixture<Tensor, Accessor, NEROIAlignLayer, half, half>; |
| FIXTURE_DATA_TEST_CASE(SmallROIAlignLayerHalf, NEROIAlignLayerHalfFixture, framework::DatasetMode::ALL, |
| framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(), |
| framework::dataset::make("DataType", { DataType::F16 })), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, relative_tolerance_f16, .02f, absolute_tolerance_f16); |
| } |
| #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| |
| TEST_SUITE_END() // Float |
| |
| TEST_SUITE(Quantized) |
| template <typename T> |
| using NEROIAlignLayerQuantizedFixture = ROIAlignLayerQuantizedFixture<Tensor, Accessor, NEROIAlignLayer, T, uint16_t>; |
| |
| TEST_SUITE(QASYMM8) |
| FIXTURE_DATA_TEST_CASE(Small, NEROIAlignLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, |
| combine(combine(combine(combine(datasets::SmallROIDataset(), |
| framework::dataset::make("DataType", { DataType::QASYMM8 })), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 127) })), |
| framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(2.f / 255.f, 120) }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_qasymm8); |
| } |
| TEST_SUITE_END() // QASYMM8 |
| |
| TEST_SUITE(QASYMM8_SIGNED) |
| FIXTURE_DATA_TEST_CASE(Small, NEROIAlignLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, |
| combine(combine(combine(combine(datasets::SmallROIDataset(), |
| framework::dataset::make("DataType", { DataType::QASYMM8_SIGNED })), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 127) })), |
| framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(2.f / 255.f, 120) }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_qasymm8_s); |
| } |
| TEST_SUITE_END() // QASYMM8_SIGNED |
| TEST_SUITE_END() // Quantized |
| |
| TEST_SUITE_END() // RoiAlign |
| TEST_SUITE_END() // Neon |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
