Split.cpp

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/*
 * Copyright (c) 2020 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 "Split.h"
 
#include "Utils.h"
 
#include "PALSplit.h"
 
namespace luci_interpreter
{
namespace kernels
{
 
Split::Split(const Tensor *axis, const Tensor *input, std::vector<Tensor *> outputs)
  : Kernel({axis, input}, std::move(outputs))
{
}
 
void Split::configure()
{
  assert(axis()->shape().num_elements() == 1);
  _axis_value = getTensorData<int32_t>(axis())[0];
  if (_axis_value < 0)
    _axis_value += input()->shape().num_dims();
  assert(_axis_value >= 0 && _axis_value < input()->shape().num_dims());
 
  const int32_t input_size = input()->shape().dim(_axis_value);
  assert(input_size % _outputs.size() == 0);
  const int32_t slice_size = input_size / _outputs.size();
 
  Shape output_shape = input()->shape();
  output_shape.dim(_axis_value) = slice_size;
  for (Tensor *output : _outputs)
  {
    output->resize(output_shape);
  }
}
 
void Split::execute() const
{
  tflite::SplitParams params{};
  params.num_split = _outputs.size();
  params.axis = _axis_value;
 
#define TF_LITE_SPLIT(scalar)                                                                    \
  {                                                                                              \
    VectorOfTensors<scalar, false> all_outputs(_outputs);                                        \
    luci_interpreter_pal::Split(params, getTensorShape(input()), getTensorData<scalar>(input()), \
                                all_outputs.shapes(), all_outputs.data());                       \
  }
 
  switch (input()->element_type())
  {
    case DataType::FLOAT32:
      TF_LITE_SPLIT(float);
      break;
    case DataType::U8:
      TF_LITE_SPLIT(uint8_t);
      break;
    default:
      throw std::runtime_error("luci-intp Split Unsupported type.");
  }
#undef TF_LITE_SPLIT
}
 
} // namespace kernels
} // namespace luci_interpreter