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Diffstat (limited to 'tests/validation/fixtures/ChannelCombineFixture.h')
| -rw-r--r-- | tests/validation/fixtures/ChannelCombineFixture.h | 266 |
1 files changed, 0 insertions, 266 deletions
diff --git a/tests/validation/fixtures/ChannelCombineFixture.h b/tests/validation/fixtures/ChannelCombineFixture.h deleted file mode 100644 index 68d023715c..0000000000 --- a/tests/validation/fixtures/ChannelCombineFixture.h +++ /dev/null @@ -1,266 +0,0 @@ -/* - * 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 */ |