text: /*
   * Copyright (c) 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/NEConvertQuantizedSignednessKernel.h"
  
  #include "arm_compute/core/Error.h"
  #include "arm_compute/core/Helpers.h"
  #include "arm_compute/core/ITensor.h"
  #include "arm_compute/core/NEON/wrapper/wrapper.h"
  #include "arm_compute/core/TensorInfo.h"
  #include "arm_compute/core/Validate.h"
  #include "arm_compute/core/Window.h"
  
  namespace arm_compute
  {
  namespace
  {
  Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
  {
      ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
      ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED);
  
      // Validate output if initialized
      if(output->total_size() != 0)
      {
          ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED);
          ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(input->tensor_shape(), output->tensor_shape());
      }
  
      return Status{};
  }
  
  std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
  {
      // Output auto inizialitation if not yet initialized
      {
          const bool                    is_input_signed   = input->data_type() == DataType::QASYMM8_SIGNED;
          const DataType                dt                = is_input_signed ? DataType::QASYMM8 : DataType::QASYMM8_SIGNED;
          const UniformQuantizationInfo qinfo             = input->quantization_info().uniform();
          const int                     offset_correction = is_input_signed ? -128 : 128;
          const QuantizationInfo        corrected_qinfo   = QuantizationInfo(qinfo.scale, qinfo.offset + offset_correction);
  
          auto_init_if_empty(*output, input->clone()->set_data_type(dt).set_quantization_info(corrected_qinfo));
      }
  
      return std::make_pair(Status{}, calculate_max_window(*output));
  }
  } // namespace
  
  NEConvertQuantizedSignednessKernel::NEConvertQuantizedSignednessKernel()
      : _input(nullptr), _output(nullptr)
  {
  }
  
  void NEConvertQuantizedSignednessKernel::configure(const ITensor *input, ITensor *output)
  {
      ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
      ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info()));
  
      _input  = input;
      _output = output;
  
      std::pair<Status, Window> win_config = validate_and_configure_window(input->info(), output->info());
      ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
      INEKernel::configure(win_config.second);
  }
  
  Status NEConvertQuantizedSignednessKernel::validate(const arm_compute::ITensorInfo *input, const arm_compute::ITensorInfo *output)
  {
      ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output));
      ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get()).first);
      return Status{};
  }
  
  void NEConvertQuantizedSignednessKernel::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);
  
      Window win_collapsed = window.collapse_if_possible(window, Window::DimZ);
      win_collapsed.set(Window::DimX, Window::Dimension(0, 1, 1));
  
      Iterator input(_input, win_collapsed);
      Iterator output(_output, win_collapsed);
  
      const int  window_step_x  = 16;
      const auto window_start_x = static_cast<int>(window.x().start());
      const auto window_end_x   = static_cast<int>(window.x().end());
  
      const uint8_t mask  = 128;
      const auto    vmask = wrapper::vdup_n(mask, wrapper::traits::vector_128_tag{});
  
      execute_window_loop(win_collapsed, [&](const Coordinates &)
      {
          const auto input_ptr  = reinterpret_cast<const uint8_t *>(input.ptr());
          const auto output_ptr = reinterpret_cast<uint8_t *>(output.ptr());
  
          // Compute S elements per iteration
          int x = window_start_x;
          for(; x <= (window_end_x - window_step_x); x += window_step_x)
          {
              const auto vin = wrapper::vloadq(input_ptr + x);
              wrapper::vstore(output_ptr + x, wrapper::veor(vin, vmask));
          }
  
          // Compute left-over elements
          for(; x < window_end_x; ++x)
          {
              const uint8_t in  = *(reinterpret_cast<const uint8_t *>(input_ptr + x));
              *(output_ptr + x) = in ^ mask;
          }
      },
      input, output);
  }
  } // namespace arm_compute
  