AveragePool2D.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 "Pool2DCommon.h"
 
#include "PALAveragePool2D.h"
 
namespace luci_interpreter
{
 
// TODO: reduce code duplication with MaxPool2D
void configure_kernel_CircleAveragePool2D(const circle::Operator *cur_op,
                                          BaseRuntimeGraph *runtime_graph)
{
  configure_kernel_CirclePool2DCommon(cur_op, runtime_graph);
}
 
void execute_kernel_CircleAveragePool2D(const circle::Operator *cur_op,
                                        BaseRuntimeGraph *runtime_graph)
{
  const kernels::SISOKernel siso_kernel(cur_op, runtime_graph);
 
  const auto input = siso_kernel.input();
  const auto output = siso_kernel.output();
 
  const auto *input_data = runtime_graph->getDataByTensor(input);
  auto *output_data = runtime_graph->getDataByTensor(output);
 
  const DataType input_type = Tensor::element_type(input);
 
  const auto params = createPoolParams(cur_op, siso_kernel);
 
  switch (input_type)
  {
#ifndef DIS_FLOAT
    case DataType::FLOAT32:
      luci_interpreter_pal::AveragePool(
        params, kernels::getTensorShape(input), kernels::getTensorData<float>(input_data),
        kernels::getTensorShape(output), kernels::getTensorData<float>(output_data));
      break;
#endif // DIS_FLOAT
#ifndef DIS_QUANT
    case DataType::S8:
    case DataType::S16:
      luci_interpreter_pal::AveragePool(
        params, kernels::getTensorShape(input), kernels::getTensorData<uint8_t>(input_data),
        kernels::getTensorShape(output), kernels::getTensorData<uint8_t>(output_data), input_type);
      break;
#endif // DIS_QUANT
    default:
      assert(false && "Unsupported type.");
  }
}
 
} // namespace luci_interpreter