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/*
 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
 * 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/NEElementwiseUnaryKernelEx.h"

#include "arm_compute/core/CPP/Validate.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/IAccessWindow.h"
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/NEON/NEAsymm.h"
#include "arm_compute/core/NEON/NEFixedPoint.h"
#include "arm_compute/core/NEON/wrapper/wrapper.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Validate.h"

#include <algorithm>
#include <arm_neon.h>
#include <cstdint>
#include <map>
#include <string>

namespace arm_compute
{
class Coordinates;

namespace
{
template <ElementWiseUnaryEx op, typename ScalarType>
inline ScalarType elementwise_op_scalar(const ScalarType &a)
{
  switch (op)
  {
    case ElementWiseUnaryEx::NEG:
      return -a;
    default:
      ARM_COMPUTE_ERROR("NOT_SUPPORTED!");
  }
}

template <ElementWiseUnaryEx op, typename VectorType>
inline VectorType elementwise_op(const VectorType &a)
{
  switch (op)
  {
    case ElementWiseUnaryEx::NEG:
      return wrapper::vneg(a);
    default:
      ARM_COMPUTE_ERROR("NOT_SUPPORTED!");
  }
}

template <ElementWiseUnaryEx op, typename ScalarType>
void elementwise_op(const ITensor *in, ITensor *out, const Window &window)
{
  const int window_step_x = 16 / sizeof(ScalarType);
  const auto window_start_x = static_cast<int>(window.x().start());
  const auto window_end_x = static_cast<int>(window.x().end());

  Window win = window;
  win.set(Window::DimX, Window::Dimension(0, 1, 1));

  Iterator input(in, win);
  Iterator output(out, win);

  execute_window_loop(win,
                      [&](const Coordinates &) {
                        auto output_ptr = reinterpret_cast<ScalarType *>(output.ptr());
                        const auto input_ptr = reinterpret_cast<const ScalarType *>(input.ptr());

                        int x = window_start_x;
                        for (; x <= window_end_x - window_step_x; x += window_step_x)
                        {
                          wrapper::vstore(output_ptr + x,
                                          elementwise_op<op>(wrapper::vloadq(input_ptr + x)));
                        }
                        for (; x < window_end_x; ++x)
                        {
                          *(output_ptr + x) = elementwise_op_scalar<op>(*(input_ptr + x));
                        }
                      },
                      input, output);
}

template <ElementWiseUnaryEx op>
std::function<void(const ITensor *input, ITensor *output, const Window &window)>
configure_func(const ITensor *input, ITensor *output)
{
  std::string function_to_call("op_");
  function_to_call += string_from_data_type(input->info()->data_type()) + "_";
  function_to_call += string_from_data_type(output->info()->data_type());

  static std::map<std::string, NEElementwiseUnaryKernelEx::ElementwiseUnaryFunction *>
      map_function = {
          {"op_F32_F32", &elementwise_op<op, float>}, {"op_S32_S32", &elementwise_op<op, int32_t>},
      };
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
  map_function["op_F16_F16"] = &elementwise_op<op, float16_t>;
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */

  auto it = map_function.find(function_to_call);

  if (it != map_function.end())
  {
    auto func = it->second;
    return [func](const ITensor *input, ITensor *output, const Window &window) {
      func(input, output, window);
    };
  }
  return nullptr;
}
} // namespace

NEElementwiseUnaryKernelEx::NEElementwiseUnaryKernelEx()
    : _function(nullptr), _input(nullptr), _output(nullptr)
{
}

void NEElementwiseUnaryKernelEx::configure(ElementWiseUnaryEx op, const ITensor *input,
                                           ITensor *output)
{
  ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(*input->info(), *output->info()));
  ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);

  // Configure kernel window
  const std::pair<TensorShape, ValidRegion> broadcast_pair =
      ITensorInfo::broadcast_shape_and_valid_region(*input->info());
  const TensorShape &out_shape = broadcast_pair.first;
  const ValidRegion &valid_region = broadcast_pair.second;

  // Auto initialize output if not initialized
  auto_init_if_empty(*output->info(), out_shape, 1, input->info()->data_type());

  Window win = calculate_max_window(valid_region);

  _input = input;
  _output = output;

  INEKernel::configure(win);

  switch (op)
  {
    case ElementWiseUnaryEx::NEG:
      _function = configure_func<ElementWiseUnaryEx::NEG>(input, output);
      break;
    default:
      ARM_COMPUTE_ERROR("NOT_SUPPORTED!");
  }
}

Status NEElementwiseUnaryKernelEx::validate_arguments(const ITensorInfo &input,
                                                      const ITensorInfo &output)
{
  ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(&input);
  ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&input, 1, DataType::F16, DataType::F32,
                                                       DataType::S32);

  // Validate in case of configured output
  if (output.total_size() > 0)
  {
    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(&input, &output);
  }

  return Status{};
}

Status NEElementwiseUnaryKernelEx::validate(ElementWiseUnaryEx op, const ITensorInfo *input,
                                            const ITensorInfo *output)
{
  ARM_COMPUTE_UNUSED(op);
  ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(*input, *output));
  return Status{};
}

void NEElementwiseUnaryKernelEx::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(_function == nullptr);
  _function(_input, _output, window);
}
} // namespace arm_compute