diff options
Diffstat (limited to 'tests')
-rw-r--r-- | tests/validation/CL/ChannelCombine.cpp | 160 | ||||
-rw-r--r-- | tests/validation/NEON/ChannelCombine.cpp | 159 | ||||
-rw-r--r-- | tests/validation/fixtures/ChannelCombineFixture.h | 266 | ||||
-rw-r--r-- | tests/validation/reference/ChannelCombine.cpp | 201 | ||||
-rw-r--r-- | tests/validation/reference/ChannelCombine.h | 43 |
5 files changed, 829 insertions, 0 deletions
diff --git a/tests/validation/CL/ChannelCombine.cpp b/tests/validation/CL/ChannelCombine.cpp new file mode 100644 index 0000000000..fd9049a46a --- /dev/null +++ b/tests/validation/CL/ChannelCombine.cpp @@ -0,0 +1,160 @@ +/* + * Copyright (c) 2017-2018 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/CL/CLMultiImage.h" +#include "arm_compute/runtime/CL/CLTensor.h" +#include "arm_compute/runtime/CL/CLTensorAllocator.h" +#include "arm_compute/runtime/CL/functions/CLChannelCombine.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/ChannelCombineFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +inline void validate_configuration(const TensorShape &shape, Format format) +{ + const int num_planes = num_planes_from_format(format); + + // Create tensors + CLMultiImage dst = create_multi_image<CLMultiImage>(shape, format); + std::vector<CLTensor> ref_src = create_tensor_planes<CLTensor>(shape, format); + + // Create and configure function + CLChannelCombine channel_combine; + + if(num_planes == 1) + { + const CLTensor *tensor_extra = ((Format::RGBA8888 == format) ? &ref_src[3] : nullptr); + + channel_combine.configure(&ref_src[0], &ref_src[1], &ref_src[2], tensor_extra, dst.cl_plane(0)); + } + else + { + channel_combine.configure(&ref_src[0], &ref_src[1], &ref_src[2], &dst); + } + + // TODO(bsgcomp): Add validation for padding and shape (COMPMID-659) +} +} // namespace + +TEST_SUITE(CL) +TEST_SUITE(ChannelCombine) + +template <typename T> +using CLChannelCombineFixture = ChannelCombineValidationFixture<CLMultiImage, CLTensor, CLAccessor, CLChannelCombine, T>; + +TEST_SUITE(Configuration) +DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("FormatType", { Format::RGB888, Format::RGBA8888 })), + shape, format) +{ + validate_configuration(shape, format); +} +DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("FormatType", { Format::YUYV422, Format::UYVY422 })), + shape, format) +{ + validate_configuration(shape, format); +} + +DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("FormatType", { Format::IYUV, Format::YUV444, Format::NV12, Format::NV21 })), + shape, format) +{ + validate_configuration(shape, format); +} +TEST_SUITE_END() + +TEST_SUITE(RGBA) +FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelCombineFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("FormatType", { Format::RGB888, Format::RGBA8888 }))) +{ + // Validate output + for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx) + { + validate(CLAccessor(*_target.cl_plane(plane_idx)), _reference[plane_idx]); + } +} +FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelCombineFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("FormatType", { Format::RGB888, Format::RGBA8888 }))) +{ + // Validate output + for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx) + { + validate(CLAccessor(*_target.cl_plane(plane_idx)), _reference[plane_idx]); + } +} +TEST_SUITE_END() + +TEST_SUITE(YUV) +FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelCombineFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("FormatType", { Format::YUYV422, Format::UYVY422 }))) +{ + // Validate output + for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx) + { + validate(CLAccessor(*_target.cl_plane(plane_idx)), _reference[plane_idx]); + } +} +FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelCombineFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("FormatType", { Format::YUYV422, Format::UYVY422 }))) +{ + // Validate output + for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx) + { + validate(CLAccessor(*_target.cl_plane(plane_idx)), _reference[plane_idx]); + } +} +TEST_SUITE_END() + +TEST_SUITE(YUVPlanar) +FIXTURE_DATA_TEST_CASE(RunSmall, CLChannelCombineFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("FormatType", { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 }))) +{ + // Validate output + for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx) + { + validate(CLAccessor(*_target.cl_plane(plane_idx)), _reference[plane_idx]); + } +} +FIXTURE_DATA_TEST_CASE(RunLarge, CLChannelCombineFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("FormatType", { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 }))) +{ + // Validate output + for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx) + { + validate(CLAccessor(*_target.cl_plane(plane_idx)), _reference[plane_idx]); + } +} +TEST_SUITE_END() + +TEST_SUITE_END() +TEST_SUITE_END() + +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation/NEON/ChannelCombine.cpp b/tests/validation/NEON/ChannelCombine.cpp new file mode 100644 index 0000000000..3dbc64dbd2 --- /dev/null +++ b/tests/validation/NEON/ChannelCombine.cpp @@ -0,0 +1,159 @@ +/* + * Copyright (c) 2017-2018 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/MultiImage.h" +#include "arm_compute/runtime/NEON/functions/NEChannelCombine.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/ChannelCombineFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +inline void validate_configuration(const TensorShape &shape, Format format) +{ + const int num_planes = num_planes_from_format(format); + + // Create tensors + MultiImage dst = create_multi_image<MultiImage>(shape, format); + std::vector<Tensor> ref_src = create_tensor_planes<Tensor>(shape, format); + + // Create and configure function + NEChannelCombine channel_combine; + + if(num_planes == 1) + { + const Tensor *tensor_extra = Format::RGBA8888 == format ? &ref_src[3] : nullptr; + + channel_combine.configure(&ref_src[0], &ref_src[1], &ref_src[2], tensor_extra, dst.plane(0)); + } + else + { + channel_combine.configure(&ref_src[0], &ref_src[1], &ref_src[2], &dst); + } + + // TODO(bsgcomp): Add validation for padding and shape (COMPMID-659) +} +} // namespace + +TEST_SUITE(NEON) +TEST_SUITE(ChannelCombine) + +TEST_SUITE(Configuration) +DATA_TEST_CASE(RGBA, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("FormatType", { Format::RGB888, Format::RGBA8888 })), + shape, format) +{ + validate_configuration(shape, format); +} +DATA_TEST_CASE(YUV, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("FormatType", { Format::YUYV422, Format::UYVY422 })), + shape, format) +{ + validate_configuration(shape, format); +} + +DATA_TEST_CASE(YUVPlanar, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("FormatType", { Format::IYUV, Format::YUV444, Format::NV12, Format::NV21 })), + shape, format) +{ + validate_configuration(shape, format); +} +TEST_SUITE_END() + +template <typename T> +using NEChannelCombineFixture = ChannelCombineValidationFixture<MultiImage, Tensor, Accessor, NEChannelCombine, T>; + +TEST_SUITE(RGBA) +FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelCombineFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("FormatType", { Format::RGB888, Format::RGBA8888 }))) +{ + // Validate output + for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx) + { + validate(Accessor(*_target.plane(plane_idx)), _reference[plane_idx]); + } +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelCombineFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("FormatType", { Format::RGB888, Format::RGBA8888 }))) +{ + // Validate output + for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx) + { + validate(Accessor(*_target.plane(plane_idx)), _reference[plane_idx]); + } +} +TEST_SUITE_END() + +TEST_SUITE(YUV) +FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelCombineFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("FormatType", { Format::YUYV422, Format::UYVY422 }))) +{ + // Validate output + for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx) + { + validate(Accessor(*_target.plane(plane_idx)), _reference[plane_idx]); + } +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelCombineFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("FormatType", { Format::YUYV422, Format::UYVY422 }))) +{ + // Validate output + for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx) + { + validate(Accessor(*_target.plane(plane_idx)), _reference[plane_idx]); + } +} +TEST_SUITE_END() + +TEST_SUITE(YUVPlanar) +FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelCombineFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("FormatType", { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 }))) +{ + // Validate output + for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx) + { + validate(Accessor(*_target.plane(plane_idx)), _reference[plane_idx]); + } +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelCombineFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("FormatType", { Format::NV12, Format::NV21, Format::IYUV, Format::YUV444 }))) +{ + // Validate output + for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx) + { + validate(Accessor(*_target.plane(plane_idx)), _reference[plane_idx]); + } +} +TEST_SUITE_END() + +TEST_SUITE_END() +TEST_SUITE_END() +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation/fixtures/ChannelCombineFixture.h b/tests/validation/fixtures/ChannelCombineFixture.h new file mode 100644 index 0000000000..68d023715c --- /dev/null +++ b/tests/validation/fixtures/ChannelCombineFixture.h @@ -0,0 +1,266 @@ +/* + * Copyright (c) 2017-2018 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_CHANNEL_COMBINE_FIXTURE +#define ARM_COMPUTE_TEST_CHANNEL_COMBINE_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/Helpers.h" +#include "tests/validation/reference/ChannelCombine.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +template <typename TensorType> +inline std::vector<TensorType> create_tensor_planes(const TensorShape &shape, Format format) +{ + TensorShape image_shape = adjust_odd_shape(shape, format); + TensorInfo info(image_shape, Format::U8); + + std::vector<TensorType> tensor_planes; + + switch(format) + { + case Format::RGB888: + case Format::RGBA8888: + case Format::YUV444: + { + tensor_planes.resize(3); + + if(format == Format::RGBA8888) + { + tensor_planes.resize(4); + } + + for(unsigned int plane_idx = 0; plane_idx < tensor_planes.size(); ++plane_idx) + { + tensor_planes[plane_idx].allocator()->init(info); + } + + break; + } + case Format::YUYV422: + case Format::UYVY422: + { + const TensorShape uv_shape = calculate_subsampled_shape(image_shape, format); + const TensorInfo info_hor2(uv_shape, Format::U8); + + tensor_planes.resize(3); + + tensor_planes[0].allocator()->init(info); + tensor_planes[1].allocator()->init(info_hor2); + tensor_planes[2].allocator()->init(info_hor2); + break; + } + case Format::NV12: + case Format::NV21: + case Format::IYUV: + { + const TensorShape sub2_shape = calculate_subsampled_shape(image_shape, format); + const TensorInfo info_sub2(sub2_shape, Format::U8); + + tensor_planes.resize(3); + + tensor_planes[0].allocator()->init(info); + tensor_planes[1].allocator()->init(info_sub2); + tensor_planes[2].allocator()->init(info_sub2); + break; + } + default: + ARM_COMPUTE_ERROR("Not supported"); + break; + } + + return tensor_planes; +} +} // namespace + +template <typename MultiImageType, typename TensorType, typename AccessorType, typename FunctionType, typename T> +class ChannelCombineValidationFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(TensorShape shape, Format format) + { + _num_planes = num_planes_from_format(format); + _target = compute_target(shape, format); + _reference = compute_reference(shape, format); + } + +protected: + template <typename U> + void fill(U &&tensor, int i) + { + library->fill_tensor_uniform(tensor, i); + } + + template <typename U> + std::vector<SimpleTensor<U>> create_tensor_planes_reference(const TensorShape &shape, Format format) + { + std::vector<SimpleTensor<U>> tensor_planes; + + TensorShape image_shape = adjust_odd_shape(shape, format); + + switch(format) + { + case Format::RGB888: + case Format::RGBA8888: + case Format::YUV444: + { + if(format == Format::RGBA8888) + { + tensor_planes.emplace_back(image_shape, Format::U8); + } + + tensor_planes.emplace_back(image_shape, Format::U8); + tensor_planes.emplace_back(image_shape, Format::U8); + tensor_planes.emplace_back(image_shape, Format::U8); + break; + } + case Format::YUYV422: + case Format::UYVY422: + { + const TensorShape hor2_shape = calculate_subsampled_shape(image_shape, format); + + tensor_planes.emplace_back(image_shape, Format::U8); + tensor_planes.emplace_back(hor2_shape, Format::U8); + tensor_planes.emplace_back(hor2_shape, Format::U8); + break; + } + case Format::NV12: + case Format::NV21: + case Format::IYUV: + { + const TensorShape shape_sub2 = calculate_subsampled_shape(image_shape, format); + + tensor_planes.emplace_back(image_shape, Format::U8); + tensor_planes.emplace_back(shape_sub2, Format::U8); + tensor_planes.emplace_back(shape_sub2, Format::U8); + break; + } + default: + ARM_COMPUTE_ERROR("Not supported"); + break; + } + + return tensor_planes; + } + + MultiImageType compute_target(const TensorShape &shape, Format format) + { + // Create tensors + std::vector<TensorType> ref_src = create_tensor_planes<TensorType>(shape, format); + MultiImageType dst = create_multi_image<MultiImageType>(shape, format); + + // Create and configure function + FunctionType channel_combine; + + if(1 == _num_planes) + { + const TensorType *tensor_extra = ((Format::RGBA8888 == format) ? &ref_src[3] : nullptr); + TensorType *tensor_dst = dynamic_cast<TensorType *>(dst.plane(0)); + + channel_combine.configure(&ref_src[0], &ref_src[1], &ref_src[2], tensor_extra, tensor_dst); + } + else + { + channel_combine.configure(&ref_src[0], &ref_src[1], &ref_src[2], &dst); + } + + for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx) + { + const TensorType *dst_plane = static_cast<const TensorType *>(dst.plane(plane_idx)); + + ARM_COMPUTE_EXPECT(dst_plane->info()->is_resizable(), framework::LogLevel::ERRORS); + } + + for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx) + { + ARM_COMPUTE_EXPECT(ref_src[plane_idx].info()->is_resizable(), framework::LogLevel::ERRORS); + } + + // Allocate tensors + dst.allocate(); + + for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx) + { + ref_src[plane_idx].allocator()->allocate(); + } + + for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx) + { + const TensorType *dst_plane = static_cast<const TensorType *>(dst.plane(plane_idx)); + + ARM_COMPUTE_EXPECT(!dst_plane->info()->is_resizable(), framework::LogLevel::ERRORS); + } + + for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx) + { + ARM_COMPUTE_EXPECT(!ref_src[plane_idx].info()->is_resizable(), framework::LogLevel::ERRORS); + } + + // Fill tensor planes + for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx) + { + fill(AccessorType(ref_src[plane_idx]), plane_idx); + } + + // Compute function + channel_combine.run(); + + return dst; + } + + std::vector<SimpleTensor<T>> compute_reference(const TensorShape &shape, Format format) + { + // Create reference + std::vector<SimpleTensor<T>> ref_src = create_tensor_planes_reference<T>(shape, format); + + // Fill references + for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx) + { + fill(ref_src[plane_idx], plane_idx); + } + + return reference::channel_combine<T>(shape, ref_src, format); + } + + unsigned int _num_planes{}; + MultiImageType _target{}; + std::vector<SimpleTensor<T>> _reference{}; +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_CHANNEL_COMBINE_FIXTURE */ diff --git a/tests/validation/reference/ChannelCombine.cpp b/tests/validation/reference/ChannelCombine.cpp new file mode 100644 index 0000000000..c1ec3ec578 --- /dev/null +++ b/tests/validation/reference/ChannelCombine.cpp @@ -0,0 +1,201 @@ +/* + * Copyright (c) 2017-2018 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 "ChannelCombine.h" + +#include "arm_compute/core/Types.h" +#include "tests/validation/FixedPoint.h" +#include "tests/validation/Helpers.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +namespace +{ +template <typename T> +inline std::vector<SimpleTensor<T>> create_image_planes(const TensorShape &shape, Format format) +{ + TensorShape image_shape = adjust_odd_shape(shape, format); + + std::vector<SimpleTensor<T>> image_planes; + + switch(format) + { + case Format::RGB888: + case Format::RGBA8888: + case Format::YUYV422: + case Format::UYVY422: + { + image_planes.emplace_back(image_shape, format); + break; + } + case Format::NV12: + case Format::NV21: + { + TensorShape shape_uv88 = calculate_subsampled_shape(image_shape, Format::UV88); + + image_planes.emplace_back(image_shape, Format::U8); + image_planes.emplace_back(shape_uv88, Format::UV88); + break; + } + case Format::IYUV: + { + TensorShape shape_sub2 = calculate_subsampled_shape(image_shape, Format::IYUV); + + image_planes.emplace_back(image_shape, Format::U8); + image_planes.emplace_back(shape_sub2, Format::U8); + image_planes.emplace_back(shape_sub2, Format::U8); + break; + } + case Format::YUV444: + { + image_planes.emplace_back(image_shape, Format::U8); + image_planes.emplace_back(image_shape, Format::U8); + image_planes.emplace_back(image_shape, Format::U8); + break; + } + default: + ARM_COMPUTE_ERROR("Not supported"); + break; + } + + return image_planes; +} +} // namespace + +template <typename T> +std::vector<SimpleTensor<T>> channel_combine(const TensorShape &shape, const std::vector<SimpleTensor<T>> &image_planes, Format format) +{ + std::vector<SimpleTensor<T>> dst = create_image_planes<T>(shape, format); + + for(unsigned int plane_idx = 0; plane_idx < dst.size(); ++plane_idx) + { + SimpleTensor<T> &dst_tensor = dst[plane_idx]; + + for(int element_idx = 0; element_idx < dst_tensor.num_elements(); ++element_idx) + { + Coordinates coord = index2coord(dst_tensor.shape(), element_idx); + + switch(format) + { + case Format::RGB888: + case Format::RGBA8888: + { + // Copy R/G/B or A channel + for(int channel_idx = 0; channel_idx < dst_tensor.num_channels(); ++channel_idx) + { + const T &src_value = reinterpret_cast<const T *>(image_planes[channel_idx](coord))[0]; + T &dst_value = reinterpret_cast<T *>(dst_tensor(coord))[channel_idx]; + + dst_value = src_value; + } + break; + } + case Format::YUYV422: + case Format::UYVY422: + { + // Find coordinates of the sub-sampled pixel + const Coordinates coord_hori(coord.x() / 2, coord.y()); + + const T &src0 = reinterpret_cast<const T *>(image_planes[0](coord))[0]; + const T &src1 = reinterpret_cast<const T *>(image_planes[1](coord_hori))[0]; + + const int shift = (Format::YUYV422 == format) ? 1 : 0; + T &dst0 = reinterpret_cast<T *>(dst_tensor(coord))[1 - shift]; + T &dst1 = reinterpret_cast<T *>(dst_tensor(coord))[0 + shift]; + + dst0 = src0; + dst1 = src1; + + Coordinates coord2 = index2coord(dst_tensor.shape(), ++element_idx); + + const T &src2 = reinterpret_cast<const T *>(image_planes[0](coord2))[0]; + const T &src3 = reinterpret_cast<const T *>(image_planes[2](coord_hori))[0]; + + T &dst2 = reinterpret_cast<T *>(dst_tensor(coord2))[1 - shift]; + T &dst3 = reinterpret_cast<T *>(dst_tensor(coord2))[0 + shift]; + + dst2 = src2; + dst3 = src3; + + break; + } + case Format::NV12: + case Format::NV21: + { + if(0U == plane_idx) + { + // Get and combine Y channel from plane0 of destination multi-image + dst_tensor[element_idx] = image_planes[0][element_idx]; + } + else + { + const int shift = (Format::NV12 == format) ? 0 : 1; + + // Get U channel from plane1 and V channel from plane2 of the source + const T &src_u0 = reinterpret_cast<const T *>(image_planes[1](coord))[0]; + const T &src_v0 = reinterpret_cast<const T *>(image_planes[2](coord))[0]; + + // Get U and V channel from plane1 of destination multi-image + T &dst_u0 = reinterpret_cast<T *>(dst_tensor(coord))[0 + shift]; + T &dst_v0 = reinterpret_cast<T *>(dst_tensor(coord))[1 - shift]; + + // Combine channel U and V + dst_u0 = src_u0; + dst_v0 = src_v0; + } + + break; + } + case Format::IYUV: + case Format::YUV444: + { + // Get Y/U/V element + const T &src = reinterpret_cast<const T *>(image_planes[plane_idx](coord))[0]; + T &dst = reinterpret_cast<T *>(dst_tensor(coord))[0]; + + // Copy Y/U/V plane + dst = src; + + break; + } + default: + ARM_COMPUTE_ERROR("Not supported"); + break; + } + } + } + + return dst; +} + +template std::vector<SimpleTensor<uint8_t>> channel_combine(const TensorShape &shape, const std::vector<SimpleTensor<uint8_t>> &image_planes, Format format); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation/reference/ChannelCombine.h b/tests/validation/reference/ChannelCombine.h new file mode 100644 index 0000000000..cc6607de49 --- /dev/null +++ b/tests/validation/reference/ChannelCombine.h @@ -0,0 +1,43 @@ +/* + * Copyright (c) 2017-2018 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_CHANNEL_COMBINE_H__ +#define __ARM_COMPUTE_TEST_CHANNEL_COMBINE_H__ + +#include "tests/SimpleTensor.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +template <typename T> +std::vector<SimpleTensor<T>> channel_combine(const TensorShape &shape, const std::vector<SimpleTensor<T>> &image_planes, Format format); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* __ARM_COMPUTE_TEST_CHANNEL_COMBINE_H__ */ |