Cast.cpp

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/*
 * Copyright (c) 2021 Samsung Electronics Co., Ltd. All Rights Reserved
 * Copyright 2017 The TensorFlow Authors. 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 "kernels/Cast.h"
#include "kernels/Utils.h"
 
namespace
{
 
using namespace luci_interpreter;
using namespace luci_interpreter::kernels;
 
template <typename InT, typename OutT>
void cast_data(const InT *in_data, OutT *out_data, uint32_t elements_count)
{
  std::transform(in_data, in_data + elements_count, out_data,
                 [](InT a) { return static_cast<OutT>(a); });
}
 
template <typename InT> void cast_from_pointer_to_tensor(const InT *in_data, Tensor *out_tensor)
{
  auto const out_type = out_tensor->element_type();
  auto const elements_count = out_tensor->shape().num_elements();
 
  switch (out_type)
  {
    case loco::DataType::U8:
      cast_data(in_data, getTensorData<uint8_t>(out_tensor), elements_count);
      break;
    case loco::DataType::U16:
      cast_data(in_data, getTensorData<uint16_t>(out_tensor), elements_count);
      break;
    case loco::DataType::U32:
      cast_data(in_data, getTensorData<uint32_t>(out_tensor), elements_count);
      break;
    case loco::DataType::U64:
      cast_data(in_data, getTensorData<uint64_t>(out_tensor), elements_count);
      break;
    case loco::DataType::S8:
      cast_data(in_data, getTensorData<int8_t>(out_tensor), elements_count);
      break;
    case loco::DataType::S16:
      cast_data(in_data, getTensorData<int16_t>(out_tensor), elements_count);
      break;
    case loco::DataType::S32:
      cast_data(in_data, getTensorData<int32_t>(out_tensor), elements_count);
      break;
    case loco::DataType::S64:
      cast_data(in_data, getTensorData<int64_t>(out_tensor), elements_count);
      break;
    case loco::DataType::FLOAT32:
      cast_data(in_data, getTensorData<float>(out_tensor), elements_count);
      break;
    case loco::DataType::BOOL:
      cast_data(in_data, getTensorData<bool>(out_tensor), elements_count);
      break;
    default:
      throw std::runtime_error("Unsupported output type.");
  }
}
 
void cast_from_tensor_to_tensor(const Tensor *in_tensor, Tensor *out_tensor)
{
  auto in_type = in_tensor->element_type();
 
  switch (in_type)
  {
    case loco::DataType::U8:
      cast_from_pointer_to_tensor(getTensorData<uint8_t>(in_tensor), out_tensor);
      break;
    case loco::DataType::U16:
      cast_from_pointer_to_tensor(getTensorData<uint16_t>(in_tensor), out_tensor);
      break;
    case loco::DataType::U32:
      cast_from_pointer_to_tensor(getTensorData<uint32_t>(in_tensor), out_tensor);
      break;
    case loco::DataType::U64:
      cast_from_pointer_to_tensor(getTensorData<uint64_t>(in_tensor), out_tensor);
      break;
    case loco::DataType::S8:
      cast_from_pointer_to_tensor(getTensorData<int8_t>(in_tensor), out_tensor);
      break;
    case loco::DataType::S16:
      cast_from_pointer_to_tensor(getTensorData<int16_t>(in_tensor), out_tensor);
      break;
    case loco::DataType::S32:
      cast_from_pointer_to_tensor(getTensorData<int32_t>(in_tensor), out_tensor);
      break;
    case loco::DataType::S64:
      cast_from_pointer_to_tensor(getTensorData<int64_t>(in_tensor), out_tensor);
      break;
    case loco::DataType::FLOAT32:
      cast_from_pointer_to_tensor(getTensorData<float>(in_tensor), out_tensor);
      break;
    case loco::DataType::BOOL:
      cast_from_pointer_to_tensor(getTensorData<bool>(in_tensor), out_tensor);
      break;
    default:
      throw std::runtime_error("Unsupported input type.");
  }
}
 
} // namespace
 
namespace luci_interpreter
{
namespace kernels
{
 
Cast::Cast(const Tensor *input, Tensor *output) : Kernel({input}, {output}) {}
 
void Cast::configure()
{
  LUCI_INTERPRETER_CHECK(input()->element_type() != loco::DataType::Unknown);
  LUCI_INTERPRETER_CHECK(output()->element_type() != loco::DataType::Unknown);
 
  const Shape &shape = input()->shape();
  output()->resize(shape);
}
 
void Cast::execute() const
{
  assert(input()->shape().num_elements() == output()->shape().num_elements());
 
  cast_from_tensor_to_tensor(input(), output());
}
 
} // namespace kernels
} // namespace luci_interpreter