/*
 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
#include "internal/layers/SimpleCastLayer.h"

#include <arm_compute/runtime/CL/CLScheduler.h>

void SimpleCastLayer::castData(::arm_compute::ITensor *in, ::arm_compute::ITensor *out,
                               const arm_compute::Coordinates &id)
{
  switch (in->info()->data_type())
  {
    case ::arm_compute::DataType::F32:
    {
      copyCast(*reinterpret_cast<float *>(in->ptr_to_element(id)), out, id);
      break;
    }
    case ::arm_compute::DataType::S32:
    {
      copyCast(*reinterpret_cast<int32_t *>(in->ptr_to_element(id)), out, id);
      break;
    }
    case ::arm_compute::DataType::U32:
    {
      copyCast(*reinterpret_cast<uint32_t *>(in->ptr_to_element(id)), out, id);
      break;
    }
    case ::arm_compute::DataType::QASYMM8:
    {
      const uint8_t quantizedValue = *(in->ptr_to_element(id));
      copyCast(in->info()->quantization_info().dequantize(quantizedValue), out, id);
      break;
    }
    default:
      throw std::runtime_error("Not supported, yet");
      break;
  }
}

void SimpleCastLayer::configure(::arm_compute::ITensor *in, ::arm_compute::ITensor *out)
{
  _in = in;
  _out = out;
}

void SimpleCastLayer::run(void)
{
  if (::internal::arm_compute::isGpuMode())
  {
    auto &q = ::arm_compute::CLScheduler::get().queue();
    CAST_CL(_in)->map(q);
    CAST_CL(_out)->map(q);
  }

  arm_compute::Window window;
  window.use_tensor_dimensions(_out->info()->tensor_shape());

  execute_window_loop(window,
                      [this](const arm_compute::Coordinates &id) { castData(_in, _out, id); });

  if (::internal::arm_compute::isGpuMode())
  {
    auto &q = ::arm_compute::CLScheduler::get().queue();
    CAST_CL(_out)->unmap(q);
    CAST_CL(_in)->unmap(q);
  }
}