diff options
Diffstat (limited to 'tests/validation')
-rw-r--r-- | tests/validation/CL/DepthConvert.cpp | 485 | ||||
-rw-r--r-- | tests/validation/CPP/DepthConvert.cpp | 158 | ||||
-rw-r--r-- | tests/validation/CPP/DepthConvert.h | 56 | ||||
-rw-r--r-- | tests/validation/NEON/DepthConvert.cpp | 485 | ||||
-rw-r--r-- | tests/validation/fixtures/DepthConvertFixture.h | 131 |
5 files changed, 1315 insertions, 0 deletions
diff --git a/tests/validation/CL/DepthConvert.cpp b/tests/validation/CL/DepthConvert.cpp new file mode 100644 index 0000000000..6abb482f49 --- /dev/null +++ b/tests/validation/CL/DepthConvert.cpp @@ -0,0 +1,485 @@ +/* + * Copyright (c) 2017 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 CONCLCTION 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/CLDepthConvert.h" +#include "tests/CL/CLAccessor.h" +#include "tests/PaddingCalculator.h" +#include "tests/datasets/ConvertPolicyDataset.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/DepthConvertFixture.h" +#include "tests/validation/half.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +/** Input data sets **/ +const auto DepthConvertU8toU16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::U16)); +const auto DepthConvertU8toS16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::S16)); +const auto DepthConvertU8toS32Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::S32)); +const auto DepthConvertU16toU8Dataset = combine(framework::dataset::make("DataType", DataType::U16), framework::dataset::make("DataType", DataType::U8)); +const auto DepthConvertU16toU32Dataset = combine(framework::dataset::make("DataType", DataType::U16), framework::dataset::make("DataType", DataType::U32)); +const auto DepthConvertS16toU8Dataset = combine(framework::dataset::make("DataType", DataType::S16), framework::dataset::make("DataType", DataType::U8)); +const auto DepthConvertS16toS32Dataset = combine(framework::dataset::make("DataType", DataType::S16), framework::dataset::make("DataType", DataType::S32)); +const auto DepthConvertQS8toFP32Dataset = combine(framework::dataset::make("DataType", DataType::QS8), framework::dataset::make("DataType", DataType::F32)); +const auto DepthConvertQS16toFP32Dataset = combine(framework::dataset::make("DataType", DataType::QS16), framework::dataset::make("DataType", DataType::F32)); +const auto DepthConvertFP32toQS8Dataset = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::QS8)); +const auto DepthConvertFP32toQS16Dataset = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::QS16)); +const auto DepthConvertShiftDataset = framework::dataset::make("Shift", 0, 7); +const auto DepthConvertFixedPointQuantizedDataset = framework::dataset::make("FractionalBits", 1, 7); +} // namespace + +TEST_SUITE(CL) +TEST_SUITE(DepthConvert) +template <typename T> +using CLDepthConvertToU16Fixture = DepthConvertValidationFixture<CLTensor, CLAccessor, CLDepthConvert, T, uint16_t>; +template <typename T> +using CLDepthConvertToS16Fixture = DepthConvertValidationFixture<CLTensor, CLAccessor, CLDepthConvert, T, int16_t>; +template <typename T> +using CLDepthConvertToS32Fixture = DepthConvertValidationFixture<CLTensor, CLAccessor, CLDepthConvert, T, int32_t>; +template <typename T> +using CLDepthConvertToU8Fixture = DepthConvertValidationFixture<CLTensor, CLAccessor, CLDepthConvert, T, uint8_t>; +template <typename T> +using CLDepthConvertToU32Fixture = DepthConvertValidationFixture<CLTensor, CLAccessor, CLDepthConvert, T, uint32_t>; +template <typename T> +using CLDepthConvertToFP32FixedPointFixture = DepthConvertValidationFractionalBitsFixture<CLTensor, CLAccessor, CLDepthConvert, T, float>; +template <typename T> +using CLDepthConvertToQS8FixedPointFixture = DepthConvertValidationFractionalBitsFixture<CLTensor, CLAccessor, CLDepthConvert, T, int8_t>; +template <typename T> +using CLDepthConvertToQS16FixedPointFixture = DepthConvertValidationFractionalBitsFixture<CLTensor, CLAccessor, CLDepthConvert, T, int16_t>; + +TEST_SUITE(U8_to_U16) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset), + shape, policy, shift) +{ + int fixed_point_position = 0; + + // Create tensors + CLTensor src = create_tensor<CLTensor>(shape, DataType::U8, 1, fixed_point_position); + CLTensor dst = create_tensor<CLTensor>(shape, DataType::U16, 1, fixed_point_position); + + // Create and Configure function + CLDepthConvert depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertToU16Fixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertU8toU16Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertToU16Fixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertU8toU16Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +TEST_SUITE_END() + +TEST_SUITE(U8_to_S16) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset), + shape, policy, shift) +{ + int fixed_point_position = 0; + + // Create tensors + CLTensor src = create_tensor<CLTensor>(shape, DataType::U8, 1, fixed_point_position); + CLTensor dst = create_tensor<CLTensor>(shape, DataType::S16, 1, fixed_point_position); + + // Create and Configure function + CLDepthConvert depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertToS16Fixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertU8toS16Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertToS16Fixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertU8toS16Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +TEST_SUITE_END() +TEST_SUITE(U8_to_S32) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset), + shape, policy, shift) +{ + int fixed_point_position = 0; + + // Create tensors + CLTensor src = create_tensor<CLTensor>(shape, DataType::U8, 1, fixed_point_position); + CLTensor dst = create_tensor<CLTensor>(shape, DataType::S32, 1, fixed_point_position); + + // Create and Configure function + CLDepthConvert depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertToS32Fixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertU8toS32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertToS32Fixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertU8toS32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +TEST_SUITE_END() + +TEST_SUITE(U16_to_U8) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset), + shape, policy, shift) +{ + int fixed_point_position = 0; + + // Create tensors + CLTensor src = create_tensor<CLTensor>(shape, DataType::U16, 1, fixed_point_position); + CLTensor dst = create_tensor<CLTensor>(shape, DataType::U8, 1, fixed_point_position); + + // Create and Configure function + CLDepthConvert depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertToU8Fixture<uint16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertU16toU8Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertToU8Fixture<uint16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertU16toU8Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +TEST_SUITE_END() + +TEST_SUITE(U16_to_U32) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset), + shape, policy, shift) +{ + int fixed_point_position = 0; + + // Create tensors + CLTensor src = create_tensor<CLTensor>(shape, DataType::U16, 1, fixed_point_position); + CLTensor dst = create_tensor<CLTensor>(shape, DataType::U32, 1, fixed_point_position); + + // Create and Configure function + CLDepthConvert depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertToU32Fixture<uint16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertU16toU32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertToU32Fixture<uint16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertU16toU32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +TEST_SUITE_END() + +TEST_SUITE(S16_to_U8) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset), + shape, policy, shift) +{ + int fixed_point_position = 0; + + // Create tensors + CLTensor src = create_tensor<CLTensor>(shape, DataType::S16, 1, fixed_point_position); + CLTensor dst = create_tensor<CLTensor>(shape, DataType::U8, 1, fixed_point_position); + + // Create and Configure function + CLDepthConvert depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertToU8Fixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertS16toU8Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertToU8Fixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertS16toU8Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +TEST_SUITE_END() + +TEST_SUITE(S16_to_S32) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset), + shape, policy, shift) +{ + int fixed_point_position = 0; + + // Create tensors + CLTensor src = create_tensor<CLTensor>(shape, DataType::S16, 1, fixed_point_position); + CLTensor dst = create_tensor<CLTensor>(shape, DataType::S32, 1, fixed_point_position); + + // Create and Configure function + CLDepthConvert depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConvertToS32Fixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertS16toS32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConvertToS32Fixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertS16toS32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +TEST_SUITE_END() + +TEST_SUITE(Quantized_to_FP32) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", { DataType::QS8, DataType::QS16 })), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertFixedPointQuantizedDataset), + shape, dt, policy, fixed_point_position) +{ + int shift = 0; + + // Create tensors + CLTensor src = create_tensor<CLTensor>(shape, dt, 1, fixed_point_position); + CLTensor dst = create_tensor<CLTensor>(shape, DataType::F32, 1, fixed_point_position); + + // Create and Configure function + CLDepthConvert depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} +FIXTURE_DATA_TEST_CASE(RunSmallQS8, CLDepthConvertToFP32FixedPointFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertQS8toFP32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertFixedPointQuantizedDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunSmallQS16, CLDepthConvertToFP32FixedPointFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertQS16toFP32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertFixedPointQuantizedDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLargeQS8, CLDepthConvertToFP32FixedPointFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertQS8toFP32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertFixedPointQuantizedDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLargeQS16, CLDepthConvertToFP32FixedPointFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertQS16toFP32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertFixedPointQuantizedDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +TEST_SUITE_END() + +TEST_SUITE(FP32_to_Quantized) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", { DataType::QS8, DataType::QS16 })), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertFixedPointQuantizedDataset), + shape, dt, policy, fixed_point_position) +{ + int shift = 0; + + // Create tensors + CLTensor src = create_tensor<CLTensor>(shape, DataType::F32, 1, fixed_point_position); + CLTensor dst = create_tensor<CLTensor>(shape, dt, 1, fixed_point_position); + + // Create and Configure function + CLDepthConvert depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} +FIXTURE_DATA_TEST_CASE(RunSmallQS8, CLDepthConvertToQS8FixedPointFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertFP32toQS8Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertFixedPointQuantizedDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunSmallQS16, CLDepthConvertToQS16FixedPointFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertFP32toQS16Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertFixedPointQuantizedDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLargeQS8, CLDepthConvertToQS8FixedPointFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertFP32toQS8Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertFixedPointQuantizedDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLargeQS16, CLDepthConvertToQS16FixedPointFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertFP32toQS16Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertFixedPointQuantizedDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +TEST_SUITE_END() + +TEST_SUITE_END() +TEST_SUITE_END() +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation/CPP/DepthConvert.cpp b/tests/validation/CPP/DepthConvert.cpp new file mode 100644 index 0000000000..bb34f67086 --- /dev/null +++ b/tests/validation/CPP/DepthConvert.cpp @@ -0,0 +1,158 @@ +/* + * Copyright (c) 2017 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 "DepthConvert.h" + +#include "tests/validation/FixedPoint.h" +#include "tests/validation/Helpers.h" +#include "tests/validation/half.h" + +#include "tests/Types.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +template < typename T1, typename T2, typename std::enable_if < std::is_integral<T1>::value &&std::is_floating_point<T2>::value, int >::type > +SimpleTensor<T2> depth_convert(const SimpleTensor<T1> &src, DataType dt_out, ConvertPolicy policy, uint32_t shift) +{ + ARM_COMPUTE_UNUSED(policy); + ARM_COMPUTE_UNUSED(shift); + + using namespace fixed_point_arithmetic; + SimpleTensor<T2> result(src.shape(), dt_out); + + const int fixed_point_position = src.fixed_point_position(); + + for(int i = 0; i < src.num_elements(); ++i) + { + result[i] = static_cast<float>(fixed_point<T1>(src[i], fixed_point_position, true)); + } + + return result; +} + +template < typename T1, typename T2, typename std::enable_if < std::is_floating_point<T1>::value &&std::is_integral<T2>::value, int >::type > +SimpleTensor<T2> depth_convert(const SimpleTensor<T1> &src, DataType dt_out, ConvertPolicy policy, uint32_t shift) +{ + ARM_COMPUTE_UNUSED(policy); + ARM_COMPUTE_UNUSED(shift); + + using namespace fixed_point_arithmetic; + SimpleTensor<T2> result(src.shape(), dt_out, 1, src.fixed_point_position()); + + const int fixed_point_position = result.fixed_point_position(); + + for(int i = 0; i < src.num_elements(); ++i) + { + result[i] = fixed_point<T2>(src[i], fixed_point_position).raw(); + } + + return result; +} + +template < typename T1, typename T2, typename std::enable_if < std::is_integral<T1>::value &&std::is_integral<T2>::value &&!std::is_same<T1, T2>::value, int >::type > +SimpleTensor<T2> depth_convert(const SimpleTensor<T1> &src, DataType dt_out, ConvertPolicy policy, uint32_t shift) +{ + SimpleTensor<T2> result(src.shape(), dt_out); + + // Up-casting + if(src.data_type() <= dt_out) + { + for(int i = 0; i < src.num_elements(); ++i) + { + result[i] = src[i] << shift; + } + } + // Down-casting + else + { + for(int i = 0; i < src.num_elements(); ++i) + { + T1 val = src[i] >> shift; + result[i] = (policy == ConvertPolicy::SATURATE) ? saturate_cast<T2>(val) : static_cast<T2>(val); + } + } + return result; +} + +template < typename T1, typename T2, typename std::enable_if < std::is_integral<T1>::value &&std::is_integral<T2>::value &&std::is_same<T1, T2>::value, int >::type > +SimpleTensor<T2> depth_convert(const SimpleTensor<T1> &src, DataType dt_out, ConvertPolicy policy, uint32_t shift) +{ + ARM_COMPUTE_UNUSED(policy); + + using namespace fixed_point_arithmetic; + + SimpleTensor<T2> result(src.shape(), dt_out); + + bool is_in_place = (&src == &result); + + const int fixed_point_position_in = src.fixed_point_position(); + const int fixed_point_position_out = (is_in_place) ? static_cast<int>(shift) : result.fixed_point_position(); + + if(!is_in_place || (fixed_point_position_in != fixed_point_position_out)) + { + for(int i = 0; i < src.num_elements(); ++i) + { + auto x = fixed_point<T2>(src[i], fixed_point_position_in, true); + x.resacle(fixed_point_position_out); + result[i] = x.raw(); + } + } + + return result; +} + +template < typename T1, typename T2, typename std::enable_if < std::is_floating_point<T1>::value &&is_floating_point<T2>::value, int >::type > +SimpleTensor<T2> depth_convert(const SimpleTensor<T1> &src, DataType dt_out, ConvertPolicy policy, uint32_t shift) +{ + ARM_COMPUTE_UNUSED(policy); + ARM_COMPUTE_UNUSED(shift); + + SimpleTensor<T2> result(src.shape(), dt_out); + + for(int i = 0; i < src.num_elements(); ++i) + { + result[i] = static_cast<T2>(src[i]); + } +} + +template SimpleTensor<uint16_t> depth_convert(const SimpleTensor<uint8_t> &src, DataType dt_out, ConvertPolicy policy, uint32_t shift); +template SimpleTensor<int16_t> depth_convert(const SimpleTensor<uint8_t> &src, DataType dt_out, ConvertPolicy policy, uint32_t shift); +template SimpleTensor<int32_t> depth_convert(const SimpleTensor<uint8_t> &src, DataType dt_out, ConvertPolicy policy, uint32_t shift); +template SimpleTensor<uint8_t> depth_convert(const SimpleTensor<uint16_t> &src, DataType dt_out, ConvertPolicy policy, uint32_t shift); +template SimpleTensor<uint32_t> depth_convert(const SimpleTensor<uint16_t> &src, DataType dt_out, ConvertPolicy policy, uint32_t shift); +template SimpleTensor<uint8_t> depth_convert(const SimpleTensor<int16_t> &src, DataType dt_out, ConvertPolicy policy, uint32_t shift); +template SimpleTensor<int32_t> depth_convert(const SimpleTensor<int16_t> &src, DataType dt_out, ConvertPolicy policy, uint32_t shift); +template SimpleTensor<float> depth_convert(const SimpleTensor<int8_t> &src, DataType dt_out, ConvertPolicy policy, uint32_t shift); +template SimpleTensor<float> depth_convert(const SimpleTensor<int16_t> &src, DataType dt_out, ConvertPolicy policy, uint32_t shift); +template SimpleTensor<int8_t> depth_convert(const SimpleTensor<float> &src, DataType dt_out, ConvertPolicy policy, uint32_t shift); +template SimpleTensor<int16_t> depth_convert(const SimpleTensor<float> &src, DataType dt_out, ConvertPolicy policy, uint32_t shift); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation/CPP/DepthConvert.h b/tests/validation/CPP/DepthConvert.h new file mode 100644 index 0000000000..1446bfda5b --- /dev/null +++ b/tests/validation/CPP/DepthConvert.h @@ -0,0 +1,56 @@ +/* + * Copyright (c) 2017 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. + */ +#ifndef __ARM_COMPUTE_TEST_DEPTH_CONVERT_H__ +#define __ARM_COMPUTE_TEST_DEPTH_CONVERT_H__ + +#include "tests/SimpleTensor.h" +#include "tests/validation/Helpers.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +template < typename T1, typename T2, typename std::enable_if < std::is_integral<T1>::value &&std::is_floating_point<T2>::value, int >::type = 0 > +SimpleTensor<T2> depth_convert(const SimpleTensor<T1> &src, DataType dt_out, ConvertPolicy policy, uint32_t shift); + +template < typename T1, typename T2, typename std::enable_if < std::is_floating_point<T1>::value &&std::is_integral<T2>::value, int >::type = 0 > +SimpleTensor<T2> depth_convert(const SimpleTensor<T1> &src, DataType dt_out, ConvertPolicy policy, uint32_t shift); + +template < typename T1, typename T2, typename std::enable_if < std::is_integral<T1>::value &&std::is_integral<T2>::value &&!std::is_same<T1, T2>::value, int >::type = 0 > +SimpleTensor<T2> depth_convert(const SimpleTensor<T1> &src, DataType dt_out, ConvertPolicy policy, uint32_t shift); + +template < typename T1, typename T2, typename std::enable_if < std::is_integral<T1>::value &&std::is_integral<T2>::value &&std::is_same<T1, T2>::value, int >::type = 0 > +SimpleTensor<T2> depth_convert(const SimpleTensor<T1> &src, DataType dt_out, ConvertPolicy policy, uint32_t shift); + +template < typename T1, typename T2, typename std::enable_if < std::is_floating_point<T1>::value &&is_floating_point<T2>::value, int >::type = 0 > +SimpleTensor<T2> depth_convert(const SimpleTensor<T1> &src, DataType dt_out, ConvertPolicy policy, uint32_t shift); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* __ARM_COMPUTE_TEST_DEPTH_CONVERT_H__ */ diff --git a/tests/validation/NEON/DepthConvert.cpp b/tests/validation/NEON/DepthConvert.cpp new file mode 100644 index 0000000000..acc9d0f18b --- /dev/null +++ b/tests/validation/NEON/DepthConvert.cpp @@ -0,0 +1,485 @@ +/* + * Copyright (c) 2017 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 CONCLCTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ +#include "arm_compute/core/Types.h" +#include "arm_compute/runtime/NEON/functions/NEDepthConvert.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/ConvertPolicyDataset.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/DepthConvertFixture.h" +#include "tests/validation/half.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +/** Input data sets **/ +const auto DepthConvertU8toU16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::U16)); +const auto DepthConvertU8toS16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::S16)); +const auto DepthConvertU8toS32Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::S32)); +const auto DepthConvertU16toU8Dataset = combine(framework::dataset::make("DataType", DataType::U16), framework::dataset::make("DataType", DataType::U8)); +const auto DepthConvertU16toU32Dataset = combine(framework::dataset::make("DataType", DataType::U16), framework::dataset::make("DataType", DataType::U32)); +const auto DepthConvertS16toU8Dataset = combine(framework::dataset::make("DataType", DataType::S16), framework::dataset::make("DataType", DataType::U8)); +const auto DepthConvertS16toS32Dataset = combine(framework::dataset::make("DataType", DataType::S16), framework::dataset::make("DataType", DataType::S32)); +const auto DepthConvertQS8toFP32Dataset = combine(framework::dataset::make("DataType", DataType::QS8), framework::dataset::make("DataType", DataType::F32)); +const auto DepthConvertQS16toFP32Dataset = combine(framework::dataset::make("DataType", DataType::QS16), framework::dataset::make("DataType", DataType::F32)); +const auto DepthConvertFP32toQS8Dataset = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::QS8)); +const auto DepthConvertFP32toQS16Dataset = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::QS16)); +const auto DepthConvertShiftDataset = framework::dataset::make("Shift", 0, 7); +const auto DepthConvertFixedPointQuantizedDataset = framework::dataset::make("FractionalBits", 1, 7); +} // namespace + +TEST_SUITE(NEON) +TEST_SUITE(DepthConvert) +template <typename T> +using NEDepthConvertToU16Fixture = DepthConvertValidationFixture<Tensor, Accessor, NEDepthConvert, T, uint16_t>; +template <typename T> +using NEDepthConvertToS16Fixture = DepthConvertValidationFixture<Tensor, Accessor, NEDepthConvert, T, int16_t>; +template <typename T> +using NEDepthConvertToS32Fixture = DepthConvertValidationFixture<Tensor, Accessor, NEDepthConvert, T, int32_t>; +template <typename T> +using NEDepthConvertToU8Fixture = DepthConvertValidationFixture<Tensor, Accessor, NEDepthConvert, T, uint8_t>; +template <typename T> +using NEDepthConvertToU32Fixture = DepthConvertValidationFixture<Tensor, Accessor, NEDepthConvert, T, uint32_t>; +template <typename T> +using NEDepthConvertToFP32FixedPointFixture = DepthConvertValidationFractionalBitsFixture<Tensor, Accessor, NEDepthConvert, T, float>; +template <typename T> +using NEDepthConvertToQS8FixedPointFixture = DepthConvertValidationFractionalBitsFixture<Tensor, Accessor, NEDepthConvert, T, int8_t>; +template <typename T> +using NEDepthConvertToQS16FixedPointFixture = DepthConvertValidationFractionalBitsFixture<Tensor, Accessor, NEDepthConvert, T, int16_t>; + +TEST_SUITE(U8_to_U16) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset), + shape, policy, shift) +{ + int fixed_point_position = 0; + + // Create tensors + Tensor src = create_tensor<Tensor>(shape, DataType::U8, 1, fixed_point_position); + Tensor dst = create_tensor<Tensor>(shape, DataType::U16, 1, fixed_point_position); + + // Create and Configure function + NEDepthConvert depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertToU16Fixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertU8toU16Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertToU16Fixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertU8toU16Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() + +TEST_SUITE(U8_to_S16) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset), + shape, policy, shift) +{ + int fixed_point_position = 0; + + // Create tensors + Tensor src = create_tensor<Tensor>(shape, DataType::U8, 1, fixed_point_position); + Tensor dst = create_tensor<Tensor>(shape, DataType::S16, 1, fixed_point_position); + + // Create and Configure function + NEDepthConvert depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertToS16Fixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertU8toS16Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertToS16Fixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertU8toS16Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() +TEST_SUITE(U8_to_S32) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset), + shape, policy, shift) +{ + int fixed_point_position = 0; + + // Create tensors + Tensor src = create_tensor<Tensor>(shape, DataType::U8, 1, fixed_point_position); + Tensor dst = create_tensor<Tensor>(shape, DataType::S32, 1, fixed_point_position); + + // Create and Configure function + NEDepthConvert depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertToS32Fixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertU8toS32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertToS32Fixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertU8toS32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() + +TEST_SUITE(U16_to_U8) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset), + shape, policy, shift) +{ + int fixed_point_position = 0; + + // Create tensors + Tensor src = create_tensor<Tensor>(shape, DataType::U16, 1, fixed_point_position); + Tensor dst = create_tensor<Tensor>(shape, DataType::U8, 1, fixed_point_position); + + // Create and Configure function + NEDepthConvert depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertToU8Fixture<uint16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertU16toU8Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertToU8Fixture<uint16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertU16toU8Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() + +TEST_SUITE(U16_to_U32) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset), + shape, policy, shift) +{ + int fixed_point_position = 0; + + // Create tensors + Tensor src = create_tensor<Tensor>(shape, DataType::U16, 1, fixed_point_position); + Tensor dst = create_tensor<Tensor>(shape, DataType::U32, 1, fixed_point_position); + + // Create and Configure function + NEDepthConvert depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertToU32Fixture<uint16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertU16toU32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertToU32Fixture<uint16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertU16toU32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() + +TEST_SUITE(S16_to_U8) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset), + shape, policy, shift) +{ + int fixed_point_position = 0; + + // Create tensors + Tensor src = create_tensor<Tensor>(shape, DataType::S16, 1, fixed_point_position); + Tensor dst = create_tensor<Tensor>(shape, DataType::U8, 1, fixed_point_position); + + // Create and Configure function + NEDepthConvert depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertToU8Fixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertS16toU8Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertToU8Fixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertS16toU8Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() + +TEST_SUITE(S16_to_S32) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset), + shape, policy, shift) +{ + int fixed_point_position = 0; + + // Create tensors + Tensor src = create_tensor<Tensor>(shape, DataType::S16, 1, fixed_point_position); + Tensor dst = create_tensor<Tensor>(shape, DataType::S32, 1, fixed_point_position); + + // Create and Configure function + NEDepthConvert depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConvertToS32Fixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertS16toS32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConvertToS32Fixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertS16toS32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertShiftDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() + +TEST_SUITE(Quantized_to_FP32) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", { DataType::QS8, DataType::QS16 })), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertFixedPointQuantizedDataset), + shape, dt, policy, fixed_point_position) +{ + int shift = 0; + + // Create tensors + Tensor src = create_tensor<Tensor>(shape, dt, 1, fixed_point_position); + Tensor dst = create_tensor<Tensor>(shape, DataType::F32, 1, fixed_point_position); + + // Create and Configure function + NEDepthConvert depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} +FIXTURE_DATA_TEST_CASE(RunSmallQS8, NEDepthConvertToFP32FixedPointFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertQS8toFP32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertFixedPointQuantizedDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunSmallQS16, NEDepthConvertToFP32FixedPointFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertQS16toFP32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertFixedPointQuantizedDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLargeQS8, NEDepthConvertToFP32FixedPointFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertQS8toFP32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertFixedPointQuantizedDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLargeQS16, NEDepthConvertToFP32FixedPointFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertQS16toFP32Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertFixedPointQuantizedDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() + +TEST_SUITE(FP32_to_Quantized) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", { DataType::QS8, DataType::QS16 })), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertFixedPointQuantizedDataset), + shape, dt, policy, fixed_point_position) +{ + int shift = 0; + + // Create tensors + Tensor src = create_tensor<Tensor>(shape, DataType::F32, 1, fixed_point_position); + Tensor dst = create_tensor<Tensor>(shape, dt, 1, fixed_point_position); + + // Create and Configure function + NEDepthConvert depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} +FIXTURE_DATA_TEST_CASE(RunSmallQS8, NEDepthConvertToQS8FixedPointFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertFP32toQS8Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertFixedPointQuantizedDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunSmallQS16, NEDepthConvertToQS16FixedPointFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), DepthConvertFP32toQS16Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertFixedPointQuantizedDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLargeQS8, NEDepthConvertToQS8FixedPointFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertFP32toQS8Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertFixedPointQuantizedDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLargeQS16, NEDepthConvertToQS16FixedPointFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), DepthConvertFP32toQS16Dataset), + framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })), + DepthConvertFixedPointQuantizedDataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() + +TEST_SUITE_END() +TEST_SUITE_END() +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation/fixtures/DepthConvertFixture.h b/tests/validation/fixtures/DepthConvertFixture.h new file mode 100644 index 0000000000..b132a9341d --- /dev/null +++ b/tests/validation/fixtures/DepthConvertFixture.h @@ -0,0 +1,131 @@ +/* + * Copyright (c) 2017 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. + */ +#ifndef ARM_COMPUTE_TEST_DEPTH_CONVERT_FIXTURE +#define ARM_COMPUTE_TEST_DEPTH_CONVERT_FIXTURE + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "tests/AssetsLibrary.h" +#include "tests/Globals.h" +#include "tests/IAccessor.h" +#include "tests/framework/Asserts.h" +#include "tests/framework/Fixture.h" +#include "tests/validation/CPP/DepthConvert.h" +#include "tests/validation/Helpers.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2> +class DepthConvertValidationFixedPointFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(TensorShape shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift, uint32_t fractional_bits) + { + _shift = shift; + _fractional_bits = fractional_bits; + _target = compute_target(shape, dt_in, dt_out, policy, shift, fractional_bits); + _reference = compute_reference(shape, dt_in, dt_out, policy, shift, fractional_bits); + } + +protected: + template <typename U> + void fill(U &&tensor, int i) + { + library->fill_tensor_uniform(tensor, i); + } + + TensorType compute_target(const TensorShape &shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift, uint32_t fixed_point_position) + { + // Create tensors + TensorType src = create_tensor<TensorType>(shape, dt_in, 1, static_cast<int>(fixed_point_position)); + TensorType dst = create_tensor<TensorType>(shape, dt_out, 1, static_cast<int>(fixed_point_position)); + + // Create and configure function + FunctionType depth_convert; + depth_convert.configure(&src, &dst, policy, shift); + + ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Allocate tensors + src.allocator()->allocate(); + dst.allocator()->allocate(); + + ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Fill tensors + fill(AccessorType(src), 0); + + // Compute function + depth_convert.run(); + + return dst; + } + + SimpleTensor<T2> compute_reference(const TensorShape &shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift, uint32_t fixed_point_position) + { + // Create reference + SimpleTensor<T1> src{ shape, dt_in, 1, static_cast<int>(fixed_point_position) }; + + // Fill reference + fill(src, 0); + + return reference::depth_convert<T1, T2>(src, dt_out, policy, shift); + } + + TensorType _target{}; + SimpleTensor<T2> _reference{}; + int _fractional_bits{}; + int _shift{}; +}; +template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2> +class DepthConvertValidationFixture : public DepthConvertValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T1, T2> +{ +public: + template <typename...> + void setup(TensorShape shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift) + { + DepthConvertValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, dt_in, dt_out, policy, shift, 0); + } +}; +template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2> +class DepthConvertValidationFractionalBitsFixture : public DepthConvertValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T1, T2> +{ +public: + template <typename...> + void setup(TensorShape shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t fractional_bits) + { + DepthConvertValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, dt_in, dt_out, policy, 0, fractional_bits); + } +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_DEPTH_CONVERT_FIXTURE */ |