ReduceMean.h

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/*
 * Copyright (c) 2023 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.
 */
 
#ifndef __NNFW_CKER_TRAIN_OPERATION_REDUCEMEAN_H__
#define __NNFW_CKER_TRAIN_OPERATION_REDUCEMEAN_H__
 
#include "cker/Shape.h"
#include "cker/eigen/Utils.h"
#include "cker/operation/BroadcastTo.h"
 
namespace nnfw
{
namespace cker
{
namespace train
{
 
template <typename T>
void MeanGrad(const Shape &incoming_shape, const T *incoming_data, const Shape &grad_shape,
              T *grad_data)
{
  BroadcastTo(incoming_shape, const_cast<T *>(incoming_data), grad_shape, grad_data);
  const auto incoming = MapAsMatrixWithLastDimAsRows(incoming_data, incoming_shape);
  auto grad = MapAsMatrixWithLastDimAsRows(grad_data, grad_shape);
  grad /= (grad.size() / incoming.size());
}
 
} // namespace train
} // namespace cker
} // namespace nnfw
 
#endif // __NNFW_CKER_TRAIN_OPERATION_REDUCEMEAN_H__