src/core/CL/kernels/CLChannelCombineKernel.cpp - platform/external/ComputeLibrary - Git at Google

 /*
  * Copyright (c) 2016-2019 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/CL/kernels/CLChannelCombineKernel.h"

 #include "arm_compute/core/CL/CLKernelLibrary.h"
 #include "arm_compute/core/CL/ICLMultiImage.h"
 #include "arm_compute/core/CL/ICLTensor.h"
 #include "arm_compute/core/CL/OpenCL.h"
 #include "arm_compute/core/Error.h"
 #include "arm_compute/core/Helpers.h"
 #include "arm_compute/core/MultiImageInfo.h"
 #include "arm_compute/core/TensorInfo.h"
 #include "arm_compute/core/Types.h"
 #include "arm_compute/core/Utils.h"
 #include "arm_compute/core/Validate.h"
 #include "arm_compute/core/Window.h"

 #include <set>
 #include <string>

 namespace arm_compute
 {
 namespace
 {
 constexpr unsigned int num_elems_processed_per_iteration = 16;
 } // namespace

 CLChannelCombineKernel::CLChannelCombineKernel()
     : _planes{ { nullptr } }, _output(nullptr), _output_multi(nullptr), _x_subsampling{ { 1, 1, 1 } }, _y_subsampling{ { 1, 1, 1 } }
 {
 }

 void CLChannelCombineKernel::configure(const ICLTensor *plane0, const ICLTensor *plane1, const ICLTensor *plane2, const ICLTensor *plane3, ICLTensor *output)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(plane0, plane1, plane2, output);
     ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(plane0);
     ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(plane1);
     ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(plane2);
     ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(output);

     ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(plane0, Format::U8);
     ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(plane1, Format::U8);
     ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(plane2, Format::U8);
     ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(output, Format::RGB888, Format::RGBA8888, Format::YUYV422, Format::UYVY422);

     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(plane0, 1, DataType::U8);
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(plane1, 1, DataType::U8);
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(plane2, 1, DataType::U8);

     const Format output_format = output->info()->format();

     // Check if horizontal dimension of Y plane is even and validate horizontal sub-sampling dimensions for U and V planes
     if(Format::YUYV422 == output_format || Format::UYVY422 == output_format)
     {
         // Validate Y plane of input and output
         ARM_COMPUTE_ERROR_ON_TENSORS_NOT_EVEN(output_format, plane0, output);

         // Validate U and V plane of the input
         ARM_COMPUTE_ERROR_ON_TENSORS_NOT_SUBSAMPLED(output_format, plane0->info()->tensor_shape(), plane1, plane2);
     }

     _planes[0] = plane0;
     _planes[1] = plane1;
     _planes[2] = plane2;
     _planes[3] = nullptr;

     // Validate the last input tensor only for RGBA format
     if(Format::RGBA8888 == output_format)
     {
         ARM_COMPUTE_ERROR_ON_NULLPTR(plane3);
         ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(plane3);

         ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(plane3, Format::U8);
         ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(plane3, 1, DataType::U8);

         _planes[3] = plane3;
     }

     _output       = output;
     _output_multi = nullptr;

     // Half the processed elements for U and V channels due to horizontal sub-sampling of 2
     if(Format::YUYV422 == output_format || Format::UYVY422 == output_format)
     {
         _x_subsampling[1] = 2;
         _x_subsampling[2] = 2;
     }

     // Create kernel
     std::string kernel_name = "channel_combine_" + string_from_format(output_format);
     _kernel                 = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name));

     // Configure window
     Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration));

     AccessWindowHorizontal plane0_access(plane0->info(), 0, num_elems_processed_per_iteration);
     AccessWindowRectangle  plane1_access(plane1->info(), 0, 0, num_elems_processed_per_iteration, 1, 1.f / _x_subsampling[1], 1.f / _y_subsampling[1]);
     AccessWindowRectangle  plane2_access(plane2->info(), 0, 0, num_elems_processed_per_iteration, 1, 1.f / _x_subsampling[2], 1.f / _y_subsampling[2]);
     AccessWindowHorizontal plane3_access(plane3 == nullptr ? nullptr : plane3->info(), 0, num_elems_processed_per_iteration);
     AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration);

     update_window_and_padding(win, plane0_access, plane1_access, plane2_access, plane3_access, output_access);

     ValidRegion valid_region = intersect_valid_regions(plane0->info()->valid_region(),
                                                        plane1->info()->valid_region(),
                                                        plane2->info()->valid_region());
     if(plane3 != nullptr)
     {
         valid_region = intersect_valid_regions(plane3->info()->valid_region(), valid_region);
     }
     output_access.set_valid_region(win, ValidRegion(valid_region.anchor, output->info()->tensor_shape()));

     ICLKernel::configure_internal(win);
 }

 void CLChannelCombineKernel::configure(const ICLImage *plane0, const ICLImage *plane1, const ICLImage *plane2, ICLMultiImage *output)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(plane0, plane1, plane2, output);
     ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(plane0);
     ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(plane1);
     ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(plane2);

     ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(plane0, Format::U8);
     ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(plane1, Format::U8);
     ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(plane2, Format::U8);
     ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(output, Format::NV12, Format::NV21, Format::IYUV, Format::YUV444);

     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(plane0, 1, DataType::U8);
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(plane1, 1, DataType::U8);
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(plane2, 1, DataType::U8);

     const Format output_format = output->info()->format();

     // Validate shape of Y plane to be even and shape of sub-sampling dimensions for U and V planes
     // Perform validation only for formats which require sub-sampling.
     if(Format::YUV444 != output_format)
     {
         // Validate Y plane of input and output
         ARM_COMPUTE_ERROR_ON_TENSORS_NOT_EVEN(output_format, plane0, output->plane(0));

         // Validate U and V plane of the input
         ARM_COMPUTE_ERROR_ON_TENSORS_NOT_SUBSAMPLED(output_format, plane0->info()->tensor_shape(), plane1, plane2);

         // Validate second plane U (NV12 and NV21 have a UV88 combined plane while IYUV has only the U plane)
         // MultiImage generates the correct tensor shape but also check in case the tensor shape of planes was changed to a wrong size
         ARM_COMPUTE_ERROR_ON_TENSORS_NOT_SUBSAMPLED(output_format, plane0->info()->tensor_shape(), output->plane(1));

         // Validate the last plane V of format IYUV
         if(Format::IYUV == output_format)
         {
             // Validate Y plane of the output
             ARM_COMPUTE_ERROR_ON_TENSORS_NOT_SUBSAMPLED(output_format, plane0->info()->tensor_shape(), output->plane(2));
         }
     }

     // Set input tensors
     _planes[0] = plane0;
     _planes[1] = plane1;
     _planes[2] = plane2;
     _planes[3] = nullptr;

     // Set output tensor
     _output       = nullptr;
     _output_multi = output;

     bool has_two_planars = false;

     // Set sub-sampling parameters for each plane
     std::string           kernel_name;
     std::set<std::string> build_opts;

     if(Format::NV12 == output_format || Format::NV21 == output_format)
     {
         _x_subsampling = { { 1, 2, 2 } };
         _y_subsampling = { { 1, 2, 2 } };
         kernel_name    = "channel_combine_NV";
         build_opts.emplace(Format::NV12 == output_format ? "-DNV12" : "-DNV21");
         has_two_planars = true;
     }
     else
     {
         if(Format::IYUV == output_format)
         {
             _x_subsampling = { { 1, 2, 2 } };
             _y_subsampling = { { 1, 2, 2 } };
         }

         kernel_name = "copy_planes_3p";
         build_opts.emplace(Format::IYUV == output_format ? "-DIYUV" : "-DYUV444");
     }

     // Create kernel
     _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts));

     // Configure window
     Window win = calculate_max_window(*plane0->info(), Steps(num_elems_processed_per_iteration));

     AccessWindowRectangle input_plane0_access(plane0->info(), 0, 0, num_elems_processed_per_iteration, 1.f);
     AccessWindowRectangle input_plane1_access(plane1->info(), 0, 0, num_elems_processed_per_iteration, 1.f, 1.f / _x_subsampling[1], 1.f / _y_subsampling[1]);
     AccessWindowRectangle input_plane2_access(plane2->info(), 0, 0, num_elems_processed_per_iteration, 1.f, 1.f / _x_subsampling[2], 1.f / _y_subsampling[2]);
     AccessWindowRectangle output_plane0_access(output->plane(0)->info(), 0, 0, num_elems_processed_per_iteration, 1.f, 1.f, 1.f / _y_subsampling[1]);
     AccessWindowRectangle output_plane1_access(output->plane(1)->info(), 0, 0, num_elems_processed_per_iteration, 1.f, 1.f / _x_subsampling[1], 1.f / _y_subsampling[1]);
     AccessWindowRectangle output_plane2_access(has_two_planars ? nullptr : output->plane(2)->info(), 0, 0, num_elems_processed_per_iteration, 1.f, 1.f / _x_subsampling[2], 1.f / _y_subsampling[2]);

     update_window_and_padding(win,
                               input_plane0_access, input_plane1_access, input_plane2_access,
                               output_plane0_access, output_plane1_access, output_plane2_access);

     ValidRegion plane0_valid_region  = plane0->info()->valid_region();
     ValidRegion output_plane1_region = has_two_planars ? intersect_valid_regions(plane1->info()->valid_region(), plane2->info()->valid_region()) : plane2->info()->valid_region();
     output_plane0_access.set_valid_region(win, ValidRegion(plane0_valid_region.anchor, output->plane(0)->info()->tensor_shape()));
     output_plane1_access.set_valid_region(win, ValidRegion(output_plane1_region.anchor, output->plane(1)->info()->tensor_shape()));
     output_plane2_access.set_valid_region(win, ValidRegion(plane2->info()->valid_region().anchor, output->plane(2)->info()->tensor_shape()));

     ICLKernel::configure_internal(win);
 }

 void CLChannelCombineKernel::run(const Window &window, cl::CommandQueue &queue)
 {
     ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
     ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);

     Window slice = window.first_slice_window_2D();
     slice.set_dimension_step(Window::DimY, 1);

     do
     {
         // Subsampling in plane 1
         Window win_sub_plane1(slice);
         win_sub_plane1.set(Window::DimX, Window::Dimension(win_sub_plane1.x().start() / _x_subsampling[1], win_sub_plane1.x().end() / _x_subsampling[1], win_sub_plane1.x().step() / _x_subsampling[1]));
         win_sub_plane1.set(Window::DimY, Window::Dimension(win_sub_plane1.y().start() / _y_subsampling[1], win_sub_plane1.y().end() / _y_subsampling[1], 1));

         // Subsampling in plane 2
         Window win_sub_plane2(slice);
         win_sub_plane2.set(Window::DimX, Window::Dimension(win_sub_plane2.x().start() / _x_subsampling[2], win_sub_plane2.x().end() / _x_subsampling[2], win_sub_plane2.x().step() / _x_subsampling[2]));
         win_sub_plane2.set(Window::DimY, Window::Dimension(win_sub_plane2.y().start() / _y_subsampling[2], win_sub_plane2.y().end() / _y_subsampling[2], 1));

         unsigned int idx = 0;

         // Set inputs
         add_2D_tensor_argument(idx, _planes[0], slice);
         add_2D_tensor_argument(idx, _planes[1], win_sub_plane1);
         add_2D_tensor_argument(idx, _planes[2], win_sub_plane2);
         add_2D_tensor_argument_if((nullptr != _planes[3]), idx, _planes[3], slice);

         // Set outputs
         if(nullptr != _output) // Single planar output
         {
             add_2D_tensor_argument(idx, _output, slice);
         }
         else // Multi-planar output
         {
             // Reduce slice in case of subsampling to avoid out-of bounds access
             slice.set(Window::DimY, Window::Dimension(slice.y().start() / _y_subsampling[1], slice.y().end() / _y_subsampling[1], 1));

             add_2D_tensor_argument(idx, _output_multi->cl_plane(0), slice);
             add_2D_tensor_argument(idx, _output_multi->cl_plane(1), win_sub_plane1);
             add_2D_tensor_argument_if((3 == num_planes_from_format(_output_multi->info()->format())), idx, _output_multi->cl_plane(2), win_sub_plane2);

             _kernel.setArg(idx++, slice.y().end());
         }

         enqueue(queue, *this, slice);
     }
     while(window.slide_window_slice_2D(slice));
 }
 } // namespace arm_compute
	/*
	* Copyright (c) 2016-2019 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/CL/kernels/CLChannelCombineKernel.h"

	#include "arm_compute/core/CL/CLKernelLibrary.h"
	#include "arm_compute/core/CL/ICLMultiImage.h"
	#include "arm_compute/core/CL/ICLTensor.h"
	#include "arm_compute/core/CL/OpenCL.h"
	#include "arm_compute/core/Error.h"
	#include "arm_compute/core/Helpers.h"
	#include "arm_compute/core/MultiImageInfo.h"
	#include "arm_compute/core/TensorInfo.h"
	#include "arm_compute/core/Types.h"
	#include "arm_compute/core/Utils.h"
	#include "arm_compute/core/Validate.h"
	#include "arm_compute/core/Window.h"

	#include <set>
	#include <string>

	namespace arm_compute
	{
	namespace
	{
	constexpr unsigned int num_elems_processed_per_iteration = 16;
	} // namespace

	CLChannelCombineKernel::CLChannelCombineKernel()
	: _planes{ { nullptr } }, _output(nullptr), _output_multi(nullptr), _x_subsampling{ { 1, 1, 1 } }, _y_subsampling{ { 1, 1, 1 } }
	{
	}

	void CLChannelCombineKernel::configure(const ICLTensor plane0, const ICLTensor plane1, const ICLTensor plane2, const ICLTensor plane3, ICLTensor *output)
	{
	ARM_COMPUTE_ERROR_ON_NULLPTR(plane0, plane1, plane2, output);
	ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(plane0);
	ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(plane1);
	ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(plane2);
	ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(output);

	ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(plane0, Format::U8);
	ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(plane1, Format::U8);
	ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(plane2, Format::U8);
	ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(output, Format::RGB888, Format::RGBA8888, Format::YUYV422, Format::UYVY422);

	ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(plane0, 1, DataType::U8);
	ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(plane1, 1, DataType::U8);
	ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(plane2, 1, DataType::U8);

	const Format output_format = output->info()->format();

	// Check if horizontal dimension of Y plane is even and validate horizontal sub-sampling dimensions for U and V planes
	if(Format::YUYV422 == output_format \|\| Format::UYVY422 == output_format)
	{
	// Validate Y plane of input and output
	ARM_COMPUTE_ERROR_ON_TENSORS_NOT_EVEN(output_format, plane0, output);

	// Validate U and V plane of the input
	ARM_COMPUTE_ERROR_ON_TENSORS_NOT_SUBSAMPLED(output_format, plane0->info()->tensor_shape(), plane1, plane2);
	}

	_planes[0] = plane0;
	_planes[1] = plane1;
	_planes[2] = plane2;
	_planes[3] = nullptr;

	// Validate the last input tensor only for RGBA format
	if(Format::RGBA8888 == output_format)
	{
	ARM_COMPUTE_ERROR_ON_NULLPTR(plane3);
	ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(plane3);

	ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(plane3, Format::U8);
	ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(plane3, 1, DataType::U8);

	_planes[3] = plane3;
	}

	_output = output;
	_output_multi = nullptr;

	// Half the processed elements for U and V channels due to horizontal sub-sampling of 2
	if(Format::YUYV422 == output_format \|\| Format::UYVY422 == output_format)
	{
	_x_subsampling[1] = 2;
	_x_subsampling[2] = 2;
	}

	// Create kernel
	std::string kernel_name = "channel_combine_" + string_from_format(output_format);
	_kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name));

	// Configure window
	Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration));

	AccessWindowHorizontal plane0_access(plane0->info(), 0, num_elems_processed_per_iteration);
	AccessWindowRectangle plane1_access(plane1->info(), 0, 0, num_elems_processed_per_iteration, 1, 1.f / _x_subsampling[1], 1.f / _y_subsampling[1]);
	AccessWindowRectangle plane2_access(plane2->info(), 0, 0, num_elems_processed_per_iteration, 1, 1.f / _x_subsampling[2], 1.f / _y_subsampling[2]);
	AccessWindowHorizontal plane3_access(plane3 == nullptr ? nullptr : plane3->info(), 0, num_elems_processed_per_iteration);
	AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration);

	update_window_and_padding(win, plane0_access, plane1_access, plane2_access, plane3_access, output_access);

	ValidRegion valid_region = intersect_valid_regions(plane0->info()->valid_region(),
	plane1->info()->valid_region(),
	plane2->info()->valid_region());
	if(plane3 != nullptr)
	{
	valid_region = intersect_valid_regions(plane3->info()->valid_region(), valid_region);
	}
	output_access.set_valid_region(win, ValidRegion(valid_region.anchor, output->info()->tensor_shape()));

	ICLKernel::configure_internal(win);
	}

	void CLChannelCombineKernel::configure(const ICLImage plane0, const ICLImage plane1, const ICLImage plane2, ICLMultiImage output)
	{
	ARM_COMPUTE_ERROR_ON_NULLPTR(plane0, plane1, plane2, output);
	ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(plane0);
	ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(plane1);
	ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(plane2);

	ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(plane0, Format::U8);
	ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(plane1, Format::U8);
	ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(plane2, Format::U8);
	ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(output, Format::NV12, Format::NV21, Format::IYUV, Format::YUV444);

	ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(plane0, 1, DataType::U8);
	ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(plane1, 1, DataType::U8);
	ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(plane2, 1, DataType::U8);

	const Format output_format = output->info()->format();

	// Validate shape of Y plane to be even and shape of sub-sampling dimensions for U and V planes
	// Perform validation only for formats which require sub-sampling.
	if(Format::YUV444 != output_format)
	{
	// Validate Y plane of input and output
	ARM_COMPUTE_ERROR_ON_TENSORS_NOT_EVEN(output_format, plane0, output->plane(0));

	// Validate U and V plane of the input
	ARM_COMPUTE_ERROR_ON_TENSORS_NOT_SUBSAMPLED(output_format, plane0->info()->tensor_shape(), plane1, plane2);

	// Validate second plane U (NV12 and NV21 have a UV88 combined plane while IYUV has only the U plane)
	// MultiImage generates the correct tensor shape but also check in case the tensor shape of planes was changed to a wrong size
	ARM_COMPUTE_ERROR_ON_TENSORS_NOT_SUBSAMPLED(output_format, plane0->info()->tensor_shape(), output->plane(1));

	// Validate the last plane V of format IYUV
	if(Format::IYUV == output_format)
	{
	// Validate Y plane of the output
	ARM_COMPUTE_ERROR_ON_TENSORS_NOT_SUBSAMPLED(output_format, plane0->info()->tensor_shape(), output->plane(2));
	}
	}

	// Set input tensors
	_planes[0] = plane0;
	_planes[1] = plane1;
	_planes[2] = plane2;
	_planes[3] = nullptr;

	// Set output tensor
	_output = nullptr;
	_output_multi = output;

	bool has_two_planars = false;

	// Set sub-sampling parameters for each plane
	std::string kernel_name;
	std::set<std::string> build_opts;

	if(Format::NV12 == output_format \|\| Format::NV21 == output_format)
	{
	_x_subsampling = { { 1, 2, 2 } };
	_y_subsampling = { { 1, 2, 2 } };
	kernel_name = "channel_combine_NV";
	build_opts.emplace(Format::NV12 == output_format ? "-DNV12" : "-DNV21");
	has_two_planars = true;
	}
	else
	{
	if(Format::IYUV == output_format)
	{
	_x_subsampling = { { 1, 2, 2 } };
	_y_subsampling = { { 1, 2, 2 } };
	}

	kernel_name = "copy_planes_3p";
	build_opts.emplace(Format::IYUV == output_format ? "-DIYUV" : "-DYUV444");
	}

	// Create kernel
	_kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts));

	// Configure window
	Window win = calculate_max_window(*plane0->info(), Steps(num_elems_processed_per_iteration));

	AccessWindowRectangle input_plane0_access(plane0->info(), 0, 0, num_elems_processed_per_iteration, 1.f);
	AccessWindowRectangle input_plane1_access(plane1->info(), 0, 0, num_elems_processed_per_iteration, 1.f, 1.f / _x_subsampling[1], 1.f / _y_subsampling[1]);
	AccessWindowRectangle input_plane2_access(plane2->info(), 0, 0, num_elems_processed_per_iteration, 1.f, 1.f / _x_subsampling[2], 1.f / _y_subsampling[2]);
	AccessWindowRectangle output_plane0_access(output->plane(0)->info(), 0, 0, num_elems_processed_per_iteration, 1.f, 1.f, 1.f / _y_subsampling[1]);
	AccessWindowRectangle output_plane1_access(output->plane(1)->info(), 0, 0, num_elems_processed_per_iteration, 1.f, 1.f / _x_subsampling[1], 1.f / _y_subsampling[1]);
	AccessWindowRectangle output_plane2_access(has_two_planars ? nullptr : output->plane(2)->info(), 0, 0, num_elems_processed_per_iteration, 1.f, 1.f / _x_subsampling[2], 1.f / _y_subsampling[2]);

	update_window_and_padding(win,
	input_plane0_access, input_plane1_access, input_plane2_access,
	output_plane0_access, output_plane1_access, output_plane2_access);

	ValidRegion plane0_valid_region = plane0->info()->valid_region();
	ValidRegion output_plane1_region = has_two_planars ? intersect_valid_regions(plane1->info()->valid_region(), plane2->info()->valid_region()) : plane2->info()->valid_region();
	output_plane0_access.set_valid_region(win, ValidRegion(plane0_valid_region.anchor, output->plane(0)->info()->tensor_shape()));
	output_plane1_access.set_valid_region(win, ValidRegion(output_plane1_region.anchor, output->plane(1)->info()->tensor_shape()));
	output_plane2_access.set_valid_region(win, ValidRegion(plane2->info()->valid_region().anchor, output->plane(2)->info()->tensor_shape()));

	ICLKernel::configure_internal(win);
	}

	void CLChannelCombineKernel::run(const Window &window, cl::CommandQueue &queue)
	{
	ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
	ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);

	Window slice = window.first_slice_window_2D();
	slice.set_dimension_step(Window::DimY, 1);

	do
	{
	// Subsampling in plane 1
	Window win_sub_plane1(slice);
	win_sub_plane1.set(Window::DimX, Window::Dimension(win_sub_plane1.x().start() / _x_subsampling[1], win_sub_plane1.x().end() / _x_subsampling[1], win_sub_plane1.x().step() / _x_subsampling[1]));
	win_sub_plane1.set(Window::DimY, Window::Dimension(win_sub_plane1.y().start() / _y_subsampling[1], win_sub_plane1.y().end() / _y_subsampling[1], 1));

	// Subsampling in plane 2
	Window win_sub_plane2(slice);
	win_sub_plane2.set(Window::DimX, Window::Dimension(win_sub_plane2.x().start() / _x_subsampling[2], win_sub_plane2.x().end() / _x_subsampling[2], win_sub_plane2.x().step() / _x_subsampling[2]));
	win_sub_plane2.set(Window::DimY, Window::Dimension(win_sub_plane2.y().start() / _y_subsampling[2], win_sub_plane2.y().end() / _y_subsampling[2], 1));

	unsigned int idx = 0;

	// Set inputs
	add_2D_tensor_argument(idx, _planes[0], slice);
	add_2D_tensor_argument(idx, _planes[1], win_sub_plane1);
	add_2D_tensor_argument(idx, _planes[2], win_sub_plane2);
	add_2D_tensor_argument_if((nullptr != _planes[3]), idx, _planes[3], slice);

	// Set outputs
	if(nullptr != _output) // Single planar output
	{
	add_2D_tensor_argument(idx, _output, slice);
	}
	else // Multi-planar output
	{
	// Reduce slice in case of subsampling to avoid out-of bounds access
	slice.set(Window::DimY, Window::Dimension(slice.y().start() / _y_subsampling[1], slice.y().end() / _y_subsampling[1], 1));

	add_2D_tensor_argument(idx, _output_multi->cl_plane(0), slice);
	add_2D_tensor_argument(idx, _output_multi->cl_plane(1), win_sub_plane1);
	add_2D_tensor_argument_if((3 == num_planes_from_format(_output_multi->info()->format())), idx, _output_multi->cl_plane(2), win_sub_plane2);

	_kernel.setArg(idx++, slice.y().end());
	}

	enqueue(queue, *this, slice);
	}
	while(window.slide_window_slice_2D(slice));
	}
	} // namespace arm_compute