src/core/NEON/kernels/NEFillBorderKernel.cpp - ml/ComputeLibrary - Gitiles

 /*
  * Copyright (c) 2016, 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 CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  * SOFTWARE.
  */
 #include "arm_compute/core/NEON/kernels/NEFillBorderKernel.h"

 #include "arm_compute/core/Error.h"
 #include "arm_compute/core/Helpers.h"
 #include "arm_compute/core/ITensor.h"
 #include "arm_compute/core/TensorInfo.h"
 #include "arm_compute/core/Validate.h"
 #include "arm_compute/core/Window.h"

 #include <algorithm>
 #include <cstdint>

 using namespace arm_compute;

 namespace arm_compute
 {
 class Coordinates;
 } // namespace arm_compute

 NEFillBorderKernel::NEFillBorderKernel()
     : _tensor(nullptr), _border_size(0), _mode(BorderMode::UNDEFINED), _constant_border_value(0)
 {
 }

 void NEFillBorderKernel::configure(ITensor *tensor, BorderSize border_size, BorderMode border_mode, const PixelValue &constant_border_value)
 {
     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(tensor, 1, DataType::U8, DataType::QS8, DataType::QS16, DataType::U16, DataType::S16, DataType::U32, DataType::S32, DataType::F32);

     _tensor                = tensor;
     _border_size           = border_size;
     _mode                  = border_mode;
     _constant_border_value = constant_border_value;

     _border_size.limit(tensor->info()->padding());

     Window win;
     win.set(Window::DimX, Window::Dimension(0, 1, 1));
     win.set(Window::DimY, Window::Dimension(0, 1, 1));
     win.use_tensor_dimensions(_tensor->info(), Window::DimZ);
     INEKernel::configure(win);
 }

 void NEFillBorderKernel::run(const Window &window)
 {
     // If there is no border: early exit
     if(_border_size.empty())
     {
         return;
     }

     ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
     ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);

     switch(_mode)
     {
         case BorderMode::CONSTANT:
         {
             switch(_tensor->info()->data_type())
             {
                 case DataType::U8:
                     fill_constant_value_single_channel<uint8_t>(window);
                     break;
                 case DataType::QS8:
                 case DataType::S8:
                     fill_constant_value_single_channel<int8_t>(window);
                     break;
                 case DataType::U16:
                     fill_constant_value_single_channel<uint16_t>(window);
                     break;
                 case DataType::S16:
                 case DataType::QS16:
                     fill_constant_value_single_channel<int16_t>(window);
                     break;
                 case DataType::U32:
                     fill_constant_value_single_channel<uint32_t>(window);
                     break;
                 case DataType::S32:
                     fill_constant_value_single_channel<int32_t>(window);
                     break;
                 case DataType::F32:
                     static_assert(sizeof(float) == 4, "Float must be 32 bit");
                     fill_constant_value_single_channel<float>(window);
                     break;
                 default:
                     ARM_COMPUTE_ERROR("Not handled");
             }
             break;
         }
         case BorderMode::REPLICATE:
         {
             switch(_tensor->info()->data_type())
             {
                 case DataType::U8:
                     fill_replicate_single_channel<uint8_t>(window);
                     break;
                 case DataType::QS8:
                 case DataType::S8:
                     fill_replicate_single_channel<int8_t>(window);
                     break;
                 case DataType::U16:
                     fill_replicate_single_channel<uint16_t>(window);
                     break;
                 case DataType::S16:
                 case DataType::QS16:
                     fill_replicate_single_channel<int16_t>(window);
                     break;
                 case DataType::U32:
                     fill_replicate_single_channel<uint32_t>(window);
                     break;
                 case DataType::S32:
                     fill_replicate_single_channel<int32_t>(window);
                     break;
                 case DataType::F32:
                     static_assert(sizeof(float) == 4, "Float must be 32 bit");
                     fill_replicate_single_channel<float>(window);
                     break;
                 default:
                     ARM_COMPUTE_ERROR("Not handled");
             }
             break;
         }
         case BorderMode::UNDEFINED:
             break; // Nothing to do here
         default:
             ARM_COMPUTE_ERROR("Unknown border mode");
     }
 }

 template <typename T>
 void NEFillBorderKernel::fill_replicate_single_channel(const Window &window)
 {
     uint8_t *const start_valid_region = _tensor->ptr_to_element(_tensor->info()->valid_region().anchor);
     const size_t &width              = _tensor->info()->valid_region().shape[0];
     const size_t &height             = _tensor->info()->valid_region().shape[1];

     // Left and right border
     Window vertical(window);
     vertical.set(Window::DimY, Window::Dimension(0, height, 1));

     Iterator vertical_it(_tensor, vertical);

     execute_window_loop(vertical, [&](const Coordinates & id)
     {
         const auto row_start = reinterpret_cast<T *>(start_valid_region + vertical_it.offset());
         const auto left_val  = *reinterpret_cast<T *>(vertical_it.ptr());
         const auto right_val = *(reinterpret_cast<T *>(vertical_it.ptr()) + width - 1);

         // Fill left and right borders
         std::fill_n(row_start - _border_size.left, _border_size.left, left_val);
         std::fill_n(row_start + width, _border_size.right, right_val);
     },
     vertical_it);

     // Top and bottom border
     Iterator plane_it(_tensor, window);

     // Iterate over all XY planes
     execute_window_loop(window, [&](const Coordinates & id)
     {
         const auto first_row = reinterpret_cast<T *>(start_valid_region + plane_it.offset());

         // Top border
         for(int i = -_border_size.top; i < 0; ++i)
         {
             const auto row_start = reinterpret_cast<T *>(start_valid_region + plane_it.offset() + i * _tensor->info()->strides_in_bytes()[1]);

             // Copy top rows including left/right borders
             std::copy_n(first_row - _border_size.left, _border_size.left + width + _border_size.right, row_start - _border_size.left);
         }

         const auto last_row = reinterpret_cast<T *>(start_valid_region + plane_it.offset() + (height - 1) * _tensor->info()->strides_in_bytes()[1]);

         // Bottom border
         for(unsigned int i = height; i < height + _border_size.bottom; ++i)
         {
             const auto row_start = reinterpret_cast<T *>(start_valid_region + plane_it.offset() + i * _tensor->info()->strides_in_bytes()[1]);

             // Copy bottom rows including left/right borders
             std::copy_n(last_row - _border_size.left, _border_size.left + width + _border_size.right, row_start - _border_size.left);
         }
     },
     plane_it);
 }

 template <typename T>
 void NEFillBorderKernel::fill_constant_value_single_channel(const Window &window)
 {
     T constant_border_value;
     _constant_border_value.get(constant_border_value);

     uint8_t *const start_valid_region = _tensor->ptr_to_element(_tensor->info()->valid_region().anchor);
     const size_t &width              = _tensor->info()->valid_region().shape[0];
     const size_t &height             = _tensor->info()->valid_region().shape[1];

     // Left and right border
     Window vertical(window);
     vertical.set(Window::DimY, Window::Dimension(0, height, 1));

     Iterator vertical_it(_tensor, vertical);

     execute_window_loop(vertical, [&](const Coordinates & id)
     {
         const auto row_start = reinterpret_cast<T *>(start_valid_region + vertical_it.offset());

         // Fill left and right borders
         std::fill_n(row_start - _border_size.left, _border_size.left, constant_border_value);
         std::fill_n(row_start + width, _border_size.right, constant_border_value);
     },
     vertical_it);

     // Top and bottom border
     Iterator plane_it(_tensor, window);

     // Iterate over all XY planes
     execute_window_loop(window, [&](const Coordinates & id)
     {
         // Top border
         for(int i = -_border_size.top; i < 0; ++i)
         {
             const auto row_start = reinterpret_cast<T *>(start_valid_region + plane_it.offset() + i * _tensor->info()->strides_in_bytes()[1]);

             // Fill top rows including left/right borders
             std::fill_n(row_start - _border_size.left, _border_size.left + width + _border_size.right, constant_border_value);
         }

         // Bottom border
         for(unsigned int i = height; i < height + _border_size.bottom; ++i)
         {
             const auto row_start = reinterpret_cast<T *>(start_valid_region + plane_it.offset() + i * _tensor->info()->strides_in_bytes()[1]);

             // Fill bottom rows including left/right borders
             std::fill_n(row_start - _border_size.left, _border_size.left + width + _border_size.right, constant_border_value);
         }
     },
     plane_it);
 }
	/*
	* Copyright (c) 2016, 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 CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
	* SOFTWARE.
	*/
	#include "arm_compute/core/NEON/kernels/NEFillBorderKernel.h"

	#include "arm_compute/core/Error.h"
	#include "arm_compute/core/Helpers.h"
	#include "arm_compute/core/ITensor.h"
	#include "arm_compute/core/TensorInfo.h"
	#include "arm_compute/core/Validate.h"
	#include "arm_compute/core/Window.h"

	#include <algorithm>
	#include <cstdint>

	using namespace arm_compute;

	namespace arm_compute
	{
	class Coordinates;
	} // namespace arm_compute

	NEFillBorderKernel::NEFillBorderKernel()
	: _tensor(nullptr), _border_size(0), _mode(BorderMode::UNDEFINED), _constant_border_value(0)
	{
	}

	void NEFillBorderKernel::configure(ITensor *tensor, BorderSize border_size, BorderMode border_mode, const PixelValue &constant_border_value)
	{
	ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(tensor, 1, DataType::U8, DataType::QS8, DataType::QS16, DataType::U16, DataType::S16, DataType::U32, DataType::S32, DataType::F32);

	_tensor = tensor;
	_border_size = border_size;
	_mode = border_mode;
	_constant_border_value = constant_border_value;

	_border_size.limit(tensor->info()->padding());

	Window win;
	win.set(Window::DimX, Window::Dimension(0, 1, 1));
	win.set(Window::DimY, Window::Dimension(0, 1, 1));
	win.use_tensor_dimensions(_tensor->info(), Window::DimZ);
	INEKernel::configure(win);
	}

	void NEFillBorderKernel::run(const Window &window)
	{
	// If there is no border: early exit
	if(_border_size.empty())
	{
	return;
	}

	ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
	ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);

	switch(_mode)
	{
	case BorderMode::CONSTANT:
	{
	switch(_tensor->info()->data_type())
	{
	case DataType::U8:
	fill_constant_value_single_channel<uint8_t>(window);
	break;
	case DataType::QS8:
	case DataType::S8:
	fill_constant_value_single_channel<int8_t>(window);
	break;
	case DataType::U16:
	fill_constant_value_single_channel<uint16_t>(window);
	break;
	case DataType::S16:
	case DataType::QS16:
	fill_constant_value_single_channel<int16_t>(window);
	break;
	case DataType::U32:
	fill_constant_value_single_channel<uint32_t>(window);
	break;
	case DataType::S32:
	fill_constant_value_single_channel<int32_t>(window);
	break;
	case DataType::F32:
	static_assert(sizeof(float) == 4, "Float must be 32 bit");
	fill_constant_value_single_channel<float>(window);
	break;
	default:
	ARM_COMPUTE_ERROR("Not handled");
	}
	break;
	}
	case BorderMode::REPLICATE:
	{
	switch(_tensor->info()->data_type())
	{
	case DataType::U8:
	fill_replicate_single_channel<uint8_t>(window);
	break;
	case DataType::QS8:
	case DataType::S8:
	fill_replicate_single_channel<int8_t>(window);
	break;
	case DataType::U16:
	fill_replicate_single_channel<uint16_t>(window);
	break;
	case DataType::S16:
	case DataType::QS16:
	fill_replicate_single_channel<int16_t>(window);
	break;
	case DataType::U32:
	fill_replicate_single_channel<uint32_t>(window);
	break;
	case DataType::S32:
	fill_replicate_single_channel<int32_t>(window);
	break;
	case DataType::F32:
	static_assert(sizeof(float) == 4, "Float must be 32 bit");
	fill_replicate_single_channel<float>(window);
	break;
	default:
	ARM_COMPUTE_ERROR("Not handled");
	}
	break;
	}
	case BorderMode::UNDEFINED:
	break; // Nothing to do here
	default:
	ARM_COMPUTE_ERROR("Unknown border mode");
	}
	}

	template <typename T>
	void NEFillBorderKernel::fill_replicate_single_channel(const Window &window)
	{
	uint8_t *const start_valid_region = _tensor->ptr_to_element(_tensor->info()->valid_region().anchor);
	const size_t &width = _tensor->info()->valid_region().shape[0];
	const size_t &height = _tensor->info()->valid_region().shape[1];

	// Left and right border
	Window vertical(window);
	vertical.set(Window::DimY, Window::Dimension(0, height, 1));

	Iterator vertical_it(_tensor, vertical);

	execute_window_loop(vertical, [&](const Coordinates & id)
	{
	const auto row_start = reinterpret_cast<T *>(start_valid_region + vertical_it.offset());
	const auto left_val = reinterpret_cast<T >(vertical_it.ptr());
	const auto right_val = (reinterpret_cast<T >(vertical_it.ptr()) + width - 1);

	// Fill left and right borders
	std::fill_n(row_start - _border_size.left, _border_size.left, left_val);
	std::fill_n(row_start + width, _border_size.right, right_val);
	},
	vertical_it);

	// Top and bottom border
	Iterator plane_it(_tensor, window);

	// Iterate over all XY planes
	execute_window_loop(window, [&](const Coordinates & id)
	{
	const auto first_row = reinterpret_cast<T *>(start_valid_region + plane_it.offset());

	// Top border
	for(int i = -_border_size.top; i < 0; ++i)
	{
	const auto row_start = reinterpret_cast<T >(start_valid_region + plane_it.offset() + i _tensor->info()->strides_in_bytes()[1]);

	// Copy top rows including left/right borders
	std::copy_n(first_row - _border_size.left, _border_size.left + width + _border_size.right, row_start - _border_size.left);
	}

	const auto last_row = reinterpret_cast<T >(start_valid_region + plane_it.offset() + (height - 1) _tensor->info()->strides_in_bytes()[1]);

	// Bottom border
	for(unsigned int i = height; i < height + _border_size.bottom; ++i)
	{
	const auto row_start = reinterpret_cast<T >(start_valid_region + plane_it.offset() + i _tensor->info()->strides_in_bytes()[1]);

	// Copy bottom rows including left/right borders
	std::copy_n(last_row - _border_size.left, _border_size.left + width + _border_size.right, row_start - _border_size.left);
	}
	},
	plane_it);
	}

	template <typename T>
	void NEFillBorderKernel::fill_constant_value_single_channel(const Window &window)
	{
	T constant_border_value;
	_constant_border_value.get(constant_border_value);

	uint8_t *const start_valid_region = _tensor->ptr_to_element(_tensor->info()->valid_region().anchor);
	const size_t &width = _tensor->info()->valid_region().shape[0];
	const size_t &height = _tensor->info()->valid_region().shape[1];

	// Left and right border
	Window vertical(window);
	vertical.set(Window::DimY, Window::Dimension(0, height, 1));

	Iterator vertical_it(_tensor, vertical);

	execute_window_loop(vertical, [&](const Coordinates & id)
	{
	const auto row_start = reinterpret_cast<T *>(start_valid_region + vertical_it.offset());

	// Fill left and right borders
	std::fill_n(row_start - _border_size.left, _border_size.left, constant_border_value);
	std::fill_n(row_start + width, _border_size.right, constant_border_value);
	},
	vertical_it);

	// Top and bottom border
	Iterator plane_it(_tensor, window);

	// Iterate over all XY planes
	execute_window_loop(window, [&](const Coordinates & id)
	{
	// Top border
	for(int i = -_border_size.top; i < 0; ++i)
	{
	const auto row_start = reinterpret_cast<T >(start_valid_region + plane_it.offset() + i _tensor->info()->strides_in_bytes()[1]);

	// Fill top rows including left/right borders
	std::fill_n(row_start - _border_size.left, _border_size.left + width + _border_size.right, constant_border_value);
	}

	// Bottom border
	for(unsigned int i = height; i < height + _border_size.bottom; ++i)
	{
	const auto row_start = reinterpret_cast<T >(start_valid_region + plane_it.offset() + i _tensor->info()->strides_in_bytes()[1]);

	// Fill bottom rows including left/right borders
	std::fill_n(row_start - _border_size.left, _border_size.left + width + _border_size.right, constant_border_value);
	}
	},
	plane_it);
	}