text: #ifndef CAFFE2_OPERATORS_LOCALLY_CONNECTED_OP_UTIL_H_
  #define CAFFE2_OPERATORS_LOCALLY_CONNECTED_OP_UTIL_H_
  
  #include <vector>
  
  #include "caffe2/core/types.h"
  
  namespace caffe2 {
  namespace lc_op_util {
  
  struct ShapeParams {
    int N;
    int C;
    int M;
    int input_image_size;
    int output_image_size;
    int kernel_size;
    std::vector<int> X_dims;
    std::vector<int> column_slice_dims;
    std::vector<int> column_dims;
    std::vector<int> column_transposed_dims;
    std::vector<int> column_axes;
    std::vector<int> Y_dims;
    std::vector<int> Y_transposed_dims;
    std::vector<int> Y_axes;
  };
  
  struct CUDAConvNetShapeParams {
    int N;
    int C;
    int M;
    int X_H;
    int X_W;
    int Y_H;
    int Y_W;
  };
  
  TORCH_API void SetColumnBufferShape(
      int N,
      int kernel_dim,
      int output_image_size,
      const std::vector<int>& output_image_dims,
      StorageOrder order,
      std::vector<int>* column_slice_dims,
      std::vector<int>* column_dims,
      std::vector<int>* column_transposed_dims,
      std::vector<int>* column_axes);
  
  TORCH_API void SetYBufferShape(
      int N,
      int M,
      int output_image_size,
      StorageOrder order,
      std::vector<int>* Y_dims,
      std::vector<int>* Y_transposed_dims,
      std::vector<int>* Y_axes);
  
  } // namespace lc_op_util
  } // namespace caffe2
  
  #endif // CAFFE2_OPERATORS_LOCALLY_CONNECTED_OP_UTIL_H_
  