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

 /*
  * Copyright (c) 2018-2019 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/NEON/kernels/NEUpsampleLayerKernel.h"

 #include "arm_compute/core/CPP/Validate.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 "arm_compute/core/utils/misc/ShapeCalculator.h"

 #include <arm_neon.h>

 namespace arm_compute
 {
 namespace
 {
 std::pair<Status, Window> validate_and_configure_window_nchw(ITensorInfo *input, ITensorInfo *output, int num_elems_processed_per_iteration_x, const Size2D &info)
 {
     const int              num_elems_processed_per_iteration_x_out = num_elems_processed_per_iteration_x * info.x();
     Window                 win                                     = calculate_max_window(*output, Steps(num_elems_processed_per_iteration_x_out));
     AccessWindowRectangle  input_access(input, 0, 0, num_elems_processed_per_iteration_x, 1, 0.5f, 0.5f);
     AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration_x_out);
     bool                   window_changed = update_window_and_padding(win, input_access, output_access);
     output_access.set_valid_region(win, output->valid_region());

     Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }

 std::pair<Status, Window> validate_and_configure_window_nhwc(ITensorInfo *input, ITensorInfo *output, int num_elems_processed_per_iteration_x, const Size2D &info)
 {
     ARM_COMPUTE_UNUSED(info);
     Window                 win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration_x));
     AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration_x);
     AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration_x);
     bool                   window_changed = update_window_and_padding(win, input_access, output_access);
     output_access.set_valid_region(win, output->valid_region());

     Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }

 std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, int num_elems_processed_per_iteration_x, const Size2D &info)
 {
     std::pair<Status, Window> win_config;
     switch(input->data_layout())
     {
         case DataLayout::NCHW:
             win_config = validate_and_configure_window_nchw(input, output, num_elems_processed_per_iteration_x, info);
             break;
         case DataLayout::NHWC:
             win_config = validate_and_configure_window_nhwc(input, output, num_elems_processed_per_iteration_x, info);
             break;
         default:
             win_config = std::make_pair(ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Unsupported data layout!"), Window{});
     }

     return win_config;
 }
 } // namespace
 NEUpsampleLayerKernel::NEUpsampleLayerKernel()
     : _func(nullptr), _input(nullptr), _output(nullptr), _info(), _num_elems_processed_per_iteration_x()
 {
 }

 Status NEUpsampleLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &info, const InterpolationPolicy policy)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_UNUSED(policy);

     const DataLayout data_layout = input->data_layout();
     const int        idx_width   = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
     const int        idx_height  = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);

     ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input);
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::F16, DataType::F32);
     ARM_COMPUTE_RETURN_ERROR_ON_MSG(info.x() != 2 || info.y() != 2, "Only stride 2 is supported");
     ARM_COMPUTE_RETURN_ERROR_ON_MSG(policy != InterpolationPolicy::NEAREST_NEIGHBOR, "Only nearest neighbor policy supported");

     // Check output if configured
     if(output->total_size() != 0)
     {
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output);
         ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_width) != info.x() * input->dimension(idx_width));
         ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_height) != info.y() * input->dimension(idx_height));
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
     }

     const int num_elems_processed_per_iteration_x = 16 / input->element_size();
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(),
                                                               output->clone().get(), num_elems_processed_per_iteration_x, info)
                                 .first);
     return Status{};
 }

 void NEUpsampleLayerKernel::upsample_f32_nchw(const arm_compute::Window &window)
 {
     Window window_in(window);
     window_in.set(Window::DimX, Window::Dimension(0, _input->info()->dimension(0), _num_elems_processed_per_iteration_x));

     Window window_out(window);
     window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.y()));

     Iterator  input(_input, window_in);
     Iterator  output(_output, window_out);
     const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(float);

     execute_window_loop(window_out, [&](const Coordinates &)
     {
         const float32x4_t data      = vld1q_f32(reinterpret_cast<const float *>(input.ptr()));
         const float32x4_t data_out1 = { vgetq_lane_f32(data, 0), vgetq_lane_f32(data, 0), vgetq_lane_f32(data, 1), vgetq_lane_f32(data, 1) };
         const float32x4_t data_out2 = { vgetq_lane_f32(data, 2), vgetq_lane_f32(data, 2), vgetq_lane_f32(data, 3), vgetq_lane_f32(data, 3) };
         auto              out       = reinterpret_cast<float *>(output.ptr());

         vst1q_f32(out, data_out1);
         vst1q_f32(out + 4, data_out2);
         vst1q_f32(out + offset_y_out, data_out1);
         vst1q_f32(out + offset_y_out + 4, data_out2);
     },
     input, output);
 }

 void NEUpsampleLayerKernel::upsample_f32_nhwc(const arm_compute::Window &window)
 {
     Window window_out(window);
     window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.x()));
     window_out.set(Window::DimZ, Window::Dimension(0, _output->info()->dimension(2), _info.y()));

     Iterator input(_input, window);
     Iterator output(_output, window_out);

     const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(float);
     const int offset_z_out = _output->info()->strides_in_bytes().z() / sizeof(float);

     execute_window_loop(window_out, [&](const Coordinates &)
     {
         const float32x4_t data = vld1q_f32(reinterpret_cast<const float *>(input.ptr()));
         auto              out  = reinterpret_cast<float *>(output.ptr());

         vst1q_f32(out, data);
         vst1q_f32(out + offset_y_out, data);
         vst1q_f32(out + offset_z_out, data);
         vst1q_f32(out + offset_y_out + offset_z_out, data);
     },
     input, output);
 }

 void NEUpsampleLayerKernel::upsample_qasymm8_nchw(const arm_compute::Window &window)
 {
     Window window_in(window);
     window_in.set(Window::DimX, Window::Dimension(0, _input->info()->dimension(0), _num_elems_processed_per_iteration_x));

     Window window_out(window);
     window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.y()));

     Iterator  input(_input, window_in);
     Iterator  output(_output, window_out);
     const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(uint8_t);

     execute_window_loop(window_out, [&](const Coordinates &)
     {
         const uint8x16_t data      = vld1q_u8(reinterpret_cast<const uint8_t *>(input.ptr()));
         const uint8x16_t data_out1 = { vgetq_lane_u8(data, 0), vgetq_lane_u8(data, 0), vgetq_lane_u8(data, 1), vgetq_lane_u8(data, 1),
                                        vgetq_lane_u8(data, 2), vgetq_lane_u8(data, 2), vgetq_lane_u8(data, 3), vgetq_lane_u8(data, 3),
                                        vgetq_lane_u8(data, 4), vgetq_lane_u8(data, 4), vgetq_lane_u8(data, 5), vgetq_lane_u8(data, 5),
                                        vgetq_lane_u8(data, 6), vgetq_lane_u8(data, 6), vgetq_lane_u8(data, 7), vgetq_lane_u8(data, 7)
                                      };
         const uint8x16_t data_out2 =
         {
             vgetq_lane_u8(data, 8), vgetq_lane_u8(data, 8), vgetq_lane_u8(data, 9), vgetq_lane_u8(data, 9),
             vgetq_lane_u8(data, 10), vgetq_lane_u8(data, 10), vgetq_lane_u8(data, 11), vgetq_lane_u8(data, 11),
             vgetq_lane_u8(data, 12), vgetq_lane_u8(data, 12), vgetq_lane_u8(data, 13), vgetq_lane_u8(data, 13),
             vgetq_lane_u8(data, 14), vgetq_lane_u8(data, 14), vgetq_lane_u8(data, 15), vgetq_lane_u8(data, 15)
         };
         auto out = reinterpret_cast<uint8_t *>(output.ptr());

         vst1q_u8(out, data_out1);
         vst1q_u8(out + 16, data_out2);
         vst1q_u8(out + offset_y_out, data_out1);
         vst1q_u8(out + offset_y_out + 16, data_out2);
     },
     input, output);
 }

 void NEUpsampleLayerKernel::upsample_qasymm8_nhwc(const arm_compute::Window &window)
 {
     Window window_out(window);
     window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.x()));
     window_out.set(Window::DimZ, Window::Dimension(0, _output->info()->dimension(2), _info.y()));

     Iterator input(_input, window);
     Iterator output(_output, window_out);

     const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(uint8_t);
     const int offset_z_out = _output->info()->strides_in_bytes().z() / sizeof(uint8_t);
     execute_window_loop(window_out, [&](const Coordinates &)
     {
         const uint8x16_t data = vld1q_u8(reinterpret_cast<const uint8_t *>(input.ptr()));
         auto             out  = reinterpret_cast<uint8_t *>(output.ptr());

         vst1q_u8(out, data);
         vst1q_u8(out + offset_y_out, data);
         vst1q_u8(out + offset_z_out, data);
         vst1q_u8(out + offset_y_out + offset_z_out, data);
     },
     input, output);
 }

 void NEUpsampleLayerKernel::upsample_f16_nchw(const arm_compute::Window &window)
 {
     ARM_COMPUTE_UNUSED(window);
 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
     Window window_in(window);
     window_in.set(Window::DimX, Window::Dimension(0, _input->info()->dimension(0), _num_elems_processed_per_iteration_x));

     Window window_out(window);
     window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.y()));

     Iterator  input(_input, window_in);
     Iterator  output(_output, window_out);
     const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(float16_t);

     execute_window_loop(window_out, [&](const Coordinates &)
     {
         const float16x8_t data      = vld1q_f16(reinterpret_cast<const float16_t *>(input.ptr()));
         const float16x8_t data_out1 = { vgetq_lane_f16(data, 0), vgetq_lane_f16(data, 0), vgetq_lane_f16(data, 1), vgetq_lane_f16(data, 1),
                                         vgetq_lane_f16(data, 2), vgetq_lane_f16(data, 2), vgetq_lane_f16(data, 3), vgetq_lane_f16(data, 3)
                                       };
         const float16x8_t data_out2 = { vgetq_lane_f16(data, 4), vgetq_lane_f16(data, 4), vgetq_lane_f16(data, 5), vgetq_lane_f16(data, 5),
                                         vgetq_lane_f16(data, 6), vgetq_lane_f16(data, 6), vgetq_lane_f16(data, 7), vgetq_lane_f16(data, 7)
                                       };
         auto out = reinterpret_cast<float16_t *>(output.ptr());

         vst1q_f16(out, data_out1);
         vst1q_f16(out + 8, data_out2);
         vst1q_f16(out + offset_y_out, data_out1);
         vst1q_f16(out + offset_y_out + 8, data_out2);
     },
     input, output);
 #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
 }

 void NEUpsampleLayerKernel::upsample_f16_nhwc(const arm_compute::Window &window)
 {
     ARM_COMPUTE_UNUSED(window);
 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
     Window window_out(window);
     window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.x()));
     window_out.set(Window::DimZ, Window::Dimension(0, _output->info()->dimension(2), _info.y()));

     Iterator  input(_input, window);
     Iterator  output(_output, window_out);
     const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(float16_t);
     const int offset_z_out = _output->info()->strides_in_bytes().z() / sizeof(float16_t);

     execute_window_loop(window_out, [&](const Coordinates &)
     {
         const float16x8_t data = vld1q_f16(reinterpret_cast<const float16_t *>(input.ptr()));
         auto              out  = reinterpret_cast<float16_t *>(output.ptr());

         vst1q_f16(out, data);
         vst1q_f16(out + offset_y_out, data);
         vst1q_f16(out + offset_z_out, data);
         vst1q_f16(out + offset_y_out + offset_z_out, data);
     },
     input, output);
 #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
 }

 void NEUpsampleLayerKernel::configure(const ITensor *input, ITensor *output, const Size2D &info, const InterpolationPolicy policy)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_UNUSED(policy);

     _input  = input;
     _output = output;
     _info   = info;

     const DataLayout data_layout = input->info()->data_layout();

     TensorShape output_shape = misc::shape_calculator::compute_upsample_shape(*input->info(), info);
     auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type());
     output->info()->set_data_layout(data_layout);

     // Perform validation step
     ARM_COMPUTE_ERROR_THROW_ON(NEUpsampleLayerKernel::validate(input->info(), output->info(), info, policy));

     _num_elems_processed_per_iteration_x = 16 / output->info()->element_size();

     switch(data_layout)
     {
         case DataLayout::NCHW:
         {
             switch(input->info()->data_type())
             {
                 case DataType::QASYMM8:
                     _func = &NEUpsampleLayerKernel::upsample_qasymm8_nchw;
                     break;
                 case DataType::F32:
                     _func = &NEUpsampleLayerKernel::upsample_f32_nchw;
                     break;
 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
                 case DataType::F16:
                     _func = &NEUpsampleLayerKernel::upsample_f16_nchw;
                     break;
 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
                 default:
                     ARM_COMPUTE_ERROR("Not implemented");
             }
             break;
         }
         case DataLayout::NHWC:
         {
             switch(input->info()->data_type())
             {
                 case DataType::QASYMM8:
                     _func = &NEUpsampleLayerKernel::upsample_qasymm8_nhwc;
                     break;
                 case DataType::F32:
                     _func = &NEUpsampleLayerKernel::upsample_f32_nhwc;
                     break;
 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
                 case DataType::F16:
                     _func = &NEUpsampleLayerKernel::upsample_f16_nhwc;
                     break;
 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
                 default:
                     ARM_COMPUTE_ERROR("Not implemented");
             }
             break;
         }
         default:
             ARM_COMPUTE_ERROR("Not implemented");
     }

     // Configure window
     std::pair<Status, Window> win_config = validate_and_configure_window(input->info(),
                                                                          output->info(),
                                                                          _num_elems_processed_per_iteration_x,
                                                                          info);
     ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
     INEKernel::configure(win_config.second);
 }

 void NEUpsampleLayerKernel::run(const Window &window, const ThreadInfo &info)
 {
     ARM_COMPUTE_UNUSED(info);
     ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
     ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
     ARM_COMPUTE_ERROR_ON(_func == nullptr);

     (this->*_func)(window);
 }
 } // namespace arm_compute
	/*
	* Copyright (c) 2018-2019 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/NEON/kernels/NEUpsampleLayerKernel.h"

	#include "arm_compute/core/CPP/Validate.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 "arm_compute/core/utils/misc/ShapeCalculator.h"

	#include <arm_neon.h>

	namespace arm_compute
	{
	namespace
	{
	std::pair<Status, Window> validate_and_configure_window_nchw(ITensorInfo input, ITensorInfo output, int num_elems_processed_per_iteration_x, const Size2D &info)
	{
	const int num_elems_processed_per_iteration_x_out = num_elems_processed_per_iteration_x * info.x();
	Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration_x_out));
	AccessWindowRectangle input_access(input, 0, 0, num_elems_processed_per_iteration_x, 1, 0.5f, 0.5f);
	AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration_x_out);
	bool window_changed = update_window_and_padding(win, input_access, output_access);
	output_access.set_valid_region(win, output->valid_region());

	Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
	return std::make_pair(err, win);
	}

	std::pair<Status, Window> validate_and_configure_window_nhwc(ITensorInfo input, ITensorInfo output, int num_elems_processed_per_iteration_x, const Size2D &info)
	{
	ARM_COMPUTE_UNUSED(info);
	Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration_x));
	AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration_x);
	AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration_x);
	bool window_changed = update_window_and_padding(win, input_access, output_access);
	output_access.set_valid_region(win, output->valid_region());

	Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
	return std::make_pair(err, win);
	}

	std::pair<Status, Window> validate_and_configure_window(ITensorInfo input, ITensorInfo output, int num_elems_processed_per_iteration_x, const Size2D &info)
	{
	std::pair<Status, Window> win_config;
	switch(input->data_layout())
	{
	case DataLayout::NCHW:
	win_config = validate_and_configure_window_nchw(input, output, num_elems_processed_per_iteration_x, info);
	break;
	case DataLayout::NHWC:
	win_config = validate_and_configure_window_nhwc(input, output, num_elems_processed_per_iteration_x, info);
	break;
	default:
	win_config = std::make_pair(ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Unsupported data layout!"), Window{});
	}

	return win_config;
	}
	} // namespace
	NEUpsampleLayerKernel::NEUpsampleLayerKernel()
	: _func(nullptr), _input(nullptr), _output(nullptr), _info(), _num_elems_processed_per_iteration_x()
	{
	}

	Status NEUpsampleLayerKernel::validate(const ITensorInfo input, const ITensorInfo output, const Size2D &info, const InterpolationPolicy policy)
	{
	ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
	ARM_COMPUTE_UNUSED(policy);

	const DataLayout data_layout = input->data_layout();
	const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
	const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);

	ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input);
	ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::F16, DataType::F32);
	ARM_COMPUTE_RETURN_ERROR_ON_MSG(info.x() != 2 \|\| info.y() != 2, "Only stride 2 is supported");
	ARM_COMPUTE_RETURN_ERROR_ON_MSG(policy != InterpolationPolicy::NEAREST_NEIGHBOR, "Only nearest neighbor policy supported");

	// Check output if configured
	if(output->total_size() != 0)
	{
	ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
	ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output);
	ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_width) != info.x() * input->dimension(idx_width));
	ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_height) != info.y() * input->dimension(idx_height));
	ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
	}

	const int num_elems_processed_per_iteration_x = 16 / input->element_size();
	ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(),
	output->clone().get(), num_elems_processed_per_iteration_x, info)
	.first);
	return Status{};
	}

	void NEUpsampleLayerKernel::upsample_f32_nchw(const arm_compute::Window &window)
	{
	Window window_in(window);
	window_in.set(Window::DimX, Window::Dimension(0, _input->info()->dimension(0), _num_elems_processed_per_iteration_x));

	Window window_out(window);
	window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.y()));

	Iterator input(_input, window_in);
	Iterator output(_output, window_out);
	const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(float);

	execute_window_loop(window_out, [&](const Coordinates &)
	{
	const float32x4_t data = vld1q_f32(reinterpret_cast<const float *>(input.ptr()));
	const float32x4_t data_out1 = { vgetq_lane_f32(data, 0), vgetq_lane_f32(data, 0), vgetq_lane_f32(data, 1), vgetq_lane_f32(data, 1) };
	const float32x4_t data_out2 = { vgetq_lane_f32(data, 2), vgetq_lane_f32(data, 2), vgetq_lane_f32(data, 3), vgetq_lane_f32(data, 3) };
	auto out = reinterpret_cast<float *>(output.ptr());

	vst1q_f32(out, data_out1);
	vst1q_f32(out + 4, data_out2);
	vst1q_f32(out + offset_y_out, data_out1);
	vst1q_f32(out + offset_y_out + 4, data_out2);
	},
	input, output);
	}

	void NEUpsampleLayerKernel::upsample_f32_nhwc(const arm_compute::Window &window)
	{
	Window window_out(window);
	window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.x()));
	window_out.set(Window::DimZ, Window::Dimension(0, _output->info()->dimension(2), _info.y()));

	Iterator input(_input, window);
	Iterator output(_output, window_out);

	const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(float);
	const int offset_z_out = _output->info()->strides_in_bytes().z() / sizeof(float);

	execute_window_loop(window_out, [&](const Coordinates &)
	{
	const float32x4_t data = vld1q_f32(reinterpret_cast<const float *>(input.ptr()));
	auto out = reinterpret_cast<float *>(output.ptr());

	vst1q_f32(out, data);
	vst1q_f32(out + offset_y_out, data);
	vst1q_f32(out + offset_z_out, data);
	vst1q_f32(out + offset_y_out + offset_z_out, data);
	},
	input, output);
	}

	void NEUpsampleLayerKernel::upsample_qasymm8_nchw(const arm_compute::Window &window)
	{
	Window window_in(window);
	window_in.set(Window::DimX, Window::Dimension(0, _input->info()->dimension(0), _num_elems_processed_per_iteration_x));

	Window window_out(window);
	window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.y()));

	Iterator input(_input, window_in);
	Iterator output(_output, window_out);
	const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(uint8_t);

	execute_window_loop(window_out, [&](const Coordinates &)
	{
	const uint8x16_t data = vld1q_u8(reinterpret_cast<const uint8_t *>(input.ptr()));
	const uint8x16_t data_out1 = { vgetq_lane_u8(data, 0), vgetq_lane_u8(data, 0), vgetq_lane_u8(data, 1), vgetq_lane_u8(data, 1),
	vgetq_lane_u8(data, 2), vgetq_lane_u8(data, 2), vgetq_lane_u8(data, 3), vgetq_lane_u8(data, 3),
	vgetq_lane_u8(data, 4), vgetq_lane_u8(data, 4), vgetq_lane_u8(data, 5), vgetq_lane_u8(data, 5),
	vgetq_lane_u8(data, 6), vgetq_lane_u8(data, 6), vgetq_lane_u8(data, 7), vgetq_lane_u8(data, 7)
	};
	const uint8x16_t data_out2 =
	{
	vgetq_lane_u8(data, 8), vgetq_lane_u8(data, 8), vgetq_lane_u8(data, 9), vgetq_lane_u8(data, 9),
	vgetq_lane_u8(data, 10), vgetq_lane_u8(data, 10), vgetq_lane_u8(data, 11), vgetq_lane_u8(data, 11),
	vgetq_lane_u8(data, 12), vgetq_lane_u8(data, 12), vgetq_lane_u8(data, 13), vgetq_lane_u8(data, 13),
	vgetq_lane_u8(data, 14), vgetq_lane_u8(data, 14), vgetq_lane_u8(data, 15), vgetq_lane_u8(data, 15)
	};
	auto out = reinterpret_cast<uint8_t *>(output.ptr());

	vst1q_u8(out, data_out1);
	vst1q_u8(out + 16, data_out2);
	vst1q_u8(out + offset_y_out, data_out1);
	vst1q_u8(out + offset_y_out + 16, data_out2);
	},
	input, output);
	}

	void NEUpsampleLayerKernel::upsample_qasymm8_nhwc(const arm_compute::Window &window)
	{
	Window window_out(window);
	window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.x()));
	window_out.set(Window::DimZ, Window::Dimension(0, _output->info()->dimension(2), _info.y()));

	Iterator input(_input, window);
	Iterator output(_output, window_out);

	const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(uint8_t);
	const int offset_z_out = _output->info()->strides_in_bytes().z() / sizeof(uint8_t);
	execute_window_loop(window_out, [&](const Coordinates &)
	{
	const uint8x16_t data = vld1q_u8(reinterpret_cast<const uint8_t *>(input.ptr()));
	auto out = reinterpret_cast<uint8_t *>(output.ptr());

	vst1q_u8(out, data);
	vst1q_u8(out + offset_y_out, data);
	vst1q_u8(out + offset_z_out, data);
	vst1q_u8(out + offset_y_out + offset_z_out, data);
	},
	input, output);
	}

	void NEUpsampleLayerKernel::upsample_f16_nchw(const arm_compute::Window &window)
	{
	ARM_COMPUTE_UNUSED(window);
	#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
	Window window_in(window);
	window_in.set(Window::DimX, Window::Dimension(0, _input->info()->dimension(0), _num_elems_processed_per_iteration_x));

	Window window_out(window);
	window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.y()));

	Iterator input(_input, window_in);
	Iterator output(_output, window_out);
	const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(float16_t);

	execute_window_loop(window_out, [&](const Coordinates &)
	{
	const float16x8_t data = vld1q_f16(reinterpret_cast<const float16_t *>(input.ptr()));
	const float16x8_t data_out1 = { vgetq_lane_f16(data, 0), vgetq_lane_f16(data, 0), vgetq_lane_f16(data, 1), vgetq_lane_f16(data, 1),
	vgetq_lane_f16(data, 2), vgetq_lane_f16(data, 2), vgetq_lane_f16(data, 3), vgetq_lane_f16(data, 3)
	};
	const float16x8_t data_out2 = { vgetq_lane_f16(data, 4), vgetq_lane_f16(data, 4), vgetq_lane_f16(data, 5), vgetq_lane_f16(data, 5),
	vgetq_lane_f16(data, 6), vgetq_lane_f16(data, 6), vgetq_lane_f16(data, 7), vgetq_lane_f16(data, 7)
	};
	auto out = reinterpret_cast<float16_t *>(output.ptr());

	vst1q_f16(out, data_out1);
	vst1q_f16(out + 8, data_out2);
	vst1q_f16(out + offset_y_out, data_out1);
	vst1q_f16(out + offset_y_out + 8, data_out2);
	},
	input, output);
	#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
	}

	void NEUpsampleLayerKernel::upsample_f16_nhwc(const arm_compute::Window &window)
	{
	ARM_COMPUTE_UNUSED(window);
	#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
	Window window_out(window);
	window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.x()));
	window_out.set(Window::DimZ, Window::Dimension(0, _output->info()->dimension(2), _info.y()));

	Iterator input(_input, window);
	Iterator output(_output, window_out);
	const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(float16_t);
	const int offset_z_out = _output->info()->strides_in_bytes().z() / sizeof(float16_t);

	execute_window_loop(window_out, [&](const Coordinates &)
	{
	const float16x8_t data = vld1q_f16(reinterpret_cast<const float16_t *>(input.ptr()));
	auto out = reinterpret_cast<float16_t *>(output.ptr());

	vst1q_f16(out, data);
	vst1q_f16(out + offset_y_out, data);
	vst1q_f16(out + offset_z_out, data);
	vst1q_f16(out + offset_y_out + offset_z_out, data);
	},
	input, output);
	#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
	}

	void NEUpsampleLayerKernel::configure(const ITensor input, ITensor output, const Size2D &info, const InterpolationPolicy policy)
	{
	ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
	ARM_COMPUTE_UNUSED(policy);

	_input = input;
	_output = output;
	_info = info;

	const DataLayout data_layout = input->info()->data_layout();

	TensorShape output_shape = misc::shape_calculator::compute_upsample_shape(*input->info(), info);
	auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type());
	output->info()->set_data_layout(data_layout);

	// Perform validation step
	ARM_COMPUTE_ERROR_THROW_ON(NEUpsampleLayerKernel::validate(input->info(), output->info(), info, policy));

	_num_elems_processed_per_iteration_x = 16 / output->info()->element_size();

	switch(data_layout)
	{
	case DataLayout::NCHW:
	{
	switch(input->info()->data_type())
	{
	case DataType::QASYMM8:
	_func = &NEUpsampleLayerKernel::upsample_qasymm8_nchw;
	break;
	case DataType::F32:
	_func = &NEUpsampleLayerKernel::upsample_f32_nchw;
	break;
	#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
	case DataType::F16:
	_func = &NEUpsampleLayerKernel::upsample_f16_nchw;
	break;
	#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
	default:
	ARM_COMPUTE_ERROR("Not implemented");
	}
	break;
	}
	case DataLayout::NHWC:
	{
	switch(input->info()->data_type())
	{
	case DataType::QASYMM8:
	_func = &NEUpsampleLayerKernel::upsample_qasymm8_nhwc;
	break;
	case DataType::F32:
	_func = &NEUpsampleLayerKernel::upsample_f32_nhwc;
	break;
	#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
	case DataType::F16:
	_func = &NEUpsampleLayerKernel::upsample_f16_nhwc;
	break;
	#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
	default:
	ARM_COMPUTE_ERROR("Not implemented");
	}
	break;
	}
	default:
	ARM_COMPUTE_ERROR("Not implemented");
	}

	// Configure window
	std::pair<Status, Window> win_config = validate_and_configure_window(input->info(),
	output->info(),
	_num_elems_processed_per_iteration_x,
	info);
	ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
	INEKernel::configure(win_config.second);
	}

	void NEUpsampleLayerKernel::run(const Window &window, const ThreadInfo &info)
	{
	ARM_COMPUTE_UNUSED(info);
	ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
	ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
	ARM_COMPUTE_ERROR_ON(_func == nullptr);

	(this->*_func)(window);
	}
	} // namespace arm_compute