Mean.cpp

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/*
 * Copyright (c) 2025 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 "core/OMCustomRuntimeData.h"
#include "execute/OMKernelExecutionBuilder.h"
#include "execute/OMRuntimeKernel.h"
 
#include "OMStatus.h"
#include "PALReduceCommon.h"
 
using namespace onert_micro;
using namespace onert_micro::core;
using namespace onert_micro::execute;
 
// ------------------------------------------------------------------------------------------------
 
namespace impl
{
 
template <typename T> OMStatus CircleMean(OMRuntimeKernel &rt_kernel)
{
  constexpr static T kInitValue = 0;
 
  core::OMReduceDataContext<T> ctx(rt_kernel);
  pal::Reducer<T, pal::ReduceSumFn> reducer(ctx, kInitValue);
 
  bool is_ok = reducer.Mean();
  if (!is_ok)
  {
    OM_LOG_AND_RETURN(UnknownError, "Unknown error encountered");
  }
 
  return Ok;
}
 
} // namespace impl
 
// ------------------------------------------------------------------------------------------------
 
namespace onert_micro
{
namespace execute
{
 
OMStatus execute_kernel_CircleMean(const OMExecuteArgs &execute_args)
{
  core::OMRuntimeContext &runtime_context = execute_args.runtime_context;
  core::OMRuntimeStorage &runtime_storage = execute_args.runtime_storage;
  uint16_t op_index = execute_args.kernel_index;
 
  OMRuntimeKernel runtime_kernel;
  runtime_kernel.readKernel(op_index, runtime_context);
  runtime_kernel.getDataFromStorage(op_index, runtime_storage, runtime_context);
 
  const size_t kInputTensorIdx = 0;
  const circle::Tensor *input = runtime_kernel.inputs[kInputTensorIdx];
 
  switch (input->type())
  {
#ifndef DIS_FLOAT
    case circle::TensorType_FLOAT32:
    {
      return impl::CircleMean<float>(runtime_kernel);
    }
    break;
#endif // DIS_FLOAT
 
#ifndef DIS_QUANT
    case circle::TensorType_INT8:
      // FIXME: this is not for QUANTIZED int8
      return impl::CircleMean<int8_t>(runtime_kernel);
#endif // DIS_QUANT
 
    case circle::TensorType_INT32:
    case circle::TensorType_INT64:
    default:
      assert(false && "Unsupported type");
      OM_LOG_AND_RETURN(UnsupportedType, "Unsupported type encountered");
  }
}
 
} // namespace execute
} // namespace onert_micro