mul_op.cpp

/* Copyright (c) 2016 Baidu, Inc. All Rights Reserved.
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==============================================================================*/

#include "mul_op.h"

namespace paddle_mobile {
namespace operators {

template <typename Dtype, typename T>
void MulOp<Dtype, T>::InferShape() const {
  auto x_dims = param_.InputX()->dims();
  auto y_dims = param_.InputY()->dims();
  int x_num_col_dims = param_.XNumColDims();
  int y_num_col_dims = param_.YNumColDims();

  assert(x_dims.size() > x_num_col_dims);
  assert(y_dims.size() > y_num_col_dims);

  /// (1,2,3,4) , x_num_col_dims = 2  -> (2,12)
  auto x_mat_dims = framework::flatten_to_2d(x_dims, x_num_col_dims);
  auto y_mat_dims = framework::flatten_to_2d(y_dims, y_num_col_dims);

  assert(x_mat_dims[1] == y_mat_dims[0]);

  std::vector<int64_t> output_dims;
  output_dims.reserve(
      static_cast<size_t>(x_num_col_dims + y_dims.size() - y_num_col_dims));

  for (int i = 0; i < x_num_col_dims; ++i) {
    output_dims.push_back(x_dims[i]);
  }

  for (int i = y_num_col_dims; i < y_dims.size(); ++i) {
    output_dims.push_back(y_dims[i]);
  }

  framework::DDim ddim = framework::make_ddim(output_dims);
  param_.Out()->Resize(ddim);
}
template class MulOp<CPU, float>;
}  // namespace operators
}  // namespace paddle_mobile