267 lines
8.8 KiB
C++
267 lines
8.8 KiB
C++
/*
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* Copyright (c) 2017-2018 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_TEST_CHANNEL_COMBINE_FIXTURE
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#define ARM_COMPUTE_TEST_CHANNEL_COMBINE_FIXTURE
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#include "arm_compute/core/TensorShape.h"
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#include "arm_compute/core/Types.h"
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#include "tests/AssetsLibrary.h"
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#include "tests/Globals.h"
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#include "tests/IAccessor.h"
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#include "tests/framework/Asserts.h"
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#include "tests/framework/Fixture.h"
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#include "tests/validation/Helpers.h"
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#include "tests/validation/reference/ChannelCombine.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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namespace
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{
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template <typename TensorType>
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inline std::vector<TensorType> create_tensor_planes(const TensorShape &shape, Format format)
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{
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TensorShape image_shape = adjust_odd_shape(shape, format);
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TensorInfo info(image_shape, Format::U8);
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std::vector<TensorType> tensor_planes;
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switch(format)
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{
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case Format::RGB888:
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case Format::RGBA8888:
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case Format::YUV444:
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{
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tensor_planes.resize(3);
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if(format == Format::RGBA8888)
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{
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tensor_planes.resize(4);
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}
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for(unsigned int plane_idx = 0; plane_idx < tensor_planes.size(); ++plane_idx)
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{
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tensor_planes[plane_idx].allocator()->init(info);
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}
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break;
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}
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case Format::YUYV422:
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case Format::UYVY422:
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{
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const TensorShape uv_shape = calculate_subsampled_shape(image_shape, format);
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const TensorInfo info_hor2(uv_shape, Format::U8);
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tensor_planes.resize(3);
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tensor_planes[0].allocator()->init(info);
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tensor_planes[1].allocator()->init(info_hor2);
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tensor_planes[2].allocator()->init(info_hor2);
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break;
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}
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case Format::NV12:
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case Format::NV21:
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case Format::IYUV:
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{
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const TensorShape sub2_shape = calculate_subsampled_shape(image_shape, format);
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const TensorInfo info_sub2(sub2_shape, Format::U8);
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tensor_planes.resize(3);
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tensor_planes[0].allocator()->init(info);
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tensor_planes[1].allocator()->init(info_sub2);
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tensor_planes[2].allocator()->init(info_sub2);
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break;
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}
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default:
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ARM_COMPUTE_ERROR("Not supported");
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break;
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}
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return tensor_planes;
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}
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} // namespace
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template <typename MultiImageType, typename TensorType, typename AccessorType, typename FunctionType, typename T>
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class ChannelCombineValidationFixture : public framework::Fixture
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{
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public:
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template <typename...>
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void setup(TensorShape shape, Format format)
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{
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_num_planes = num_planes_from_format(format);
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_target = compute_target(shape, format);
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_reference = compute_reference(shape, format);
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}
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protected:
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template <typename U>
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void fill(U &&tensor, int i)
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{
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library->fill_tensor_uniform(tensor, i);
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}
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template <typename U>
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std::vector<SimpleTensor<U>> create_tensor_planes_reference(const TensorShape &shape, Format format)
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{
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std::vector<SimpleTensor<U>> tensor_planes;
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TensorShape image_shape = adjust_odd_shape(shape, format);
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switch(format)
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{
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case Format::RGB888:
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case Format::RGBA8888:
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case Format::YUV444:
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{
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if(format == Format::RGBA8888)
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{
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tensor_planes.emplace_back(image_shape, Format::U8);
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}
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tensor_planes.emplace_back(image_shape, Format::U8);
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tensor_planes.emplace_back(image_shape, Format::U8);
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tensor_planes.emplace_back(image_shape, Format::U8);
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break;
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}
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case Format::YUYV422:
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case Format::UYVY422:
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{
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const TensorShape hor2_shape = calculate_subsampled_shape(image_shape, format);
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tensor_planes.emplace_back(image_shape, Format::U8);
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tensor_planes.emplace_back(hor2_shape, Format::U8);
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tensor_planes.emplace_back(hor2_shape, Format::U8);
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break;
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}
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case Format::NV12:
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case Format::NV21:
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case Format::IYUV:
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{
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const TensorShape shape_sub2 = calculate_subsampled_shape(image_shape, format);
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tensor_planes.emplace_back(image_shape, Format::U8);
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tensor_planes.emplace_back(shape_sub2, Format::U8);
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tensor_planes.emplace_back(shape_sub2, Format::U8);
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break;
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}
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default:
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ARM_COMPUTE_ERROR("Not supported");
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break;
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}
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return tensor_planes;
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}
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MultiImageType compute_target(const TensorShape &shape, Format format)
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{
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// Create tensors
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std::vector<TensorType> ref_src = create_tensor_planes<TensorType>(shape, format);
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MultiImageType dst = create_multi_image<MultiImageType>(shape, format);
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// Create and configure function
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FunctionType channel_combine;
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if(1 == _num_planes)
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{
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const TensorType *tensor_extra = ((Format::RGBA8888 == format) ? &ref_src[3] : nullptr);
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TensorType *tensor_dst = dynamic_cast<TensorType *>(dst.plane(0));
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channel_combine.configure(&ref_src[0], &ref_src[1], &ref_src[2], tensor_extra, tensor_dst);
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}
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else
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{
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channel_combine.configure(&ref_src[0], &ref_src[1], &ref_src[2], &dst);
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}
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for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx)
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{
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const TensorType *dst_plane = static_cast<const TensorType *>(dst.plane(plane_idx));
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ARM_COMPUTE_EXPECT(dst_plane->info()->is_resizable(), framework::LogLevel::ERRORS);
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}
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for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx)
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{
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ARM_COMPUTE_EXPECT(ref_src[plane_idx].info()->is_resizable(), framework::LogLevel::ERRORS);
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}
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// Allocate tensors
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dst.allocate();
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for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx)
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{
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ref_src[plane_idx].allocator()->allocate();
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}
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for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx)
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{
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const TensorType *dst_plane = static_cast<const TensorType *>(dst.plane(plane_idx));
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ARM_COMPUTE_EXPECT(!dst_plane->info()->is_resizable(), framework::LogLevel::ERRORS);
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}
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for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx)
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{
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ARM_COMPUTE_EXPECT(!ref_src[plane_idx].info()->is_resizable(), framework::LogLevel::ERRORS);
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}
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// Fill tensor planes
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for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx)
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{
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fill(AccessorType(ref_src[plane_idx]), plane_idx);
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}
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// Compute function
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channel_combine.run();
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return dst;
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}
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std::vector<SimpleTensor<T>> compute_reference(const TensorShape &shape, Format format)
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{
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// Create reference
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std::vector<SimpleTensor<T>> ref_src = create_tensor_planes_reference<T>(shape, format);
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// Fill references
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for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx)
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{
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fill(ref_src[plane_idx], plane_idx);
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}
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return reference::channel_combine<T>(shape, ref_src, format);
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}
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unsigned int _num_planes{};
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MultiImageType _target{};
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std::vector<SimpleTensor<T>> _reference{};
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};
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_TEST_CHANNEL_COMBINE_FIXTURE */
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