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#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_
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