| /* |
| * 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 |