code: def to_dlpack(cudf_obj):
      """Converts a cuDF object to a DLPack tensor.
  
      DLPack is an open-source memory tensor structure:
      `dmlc/dlpack <https://github.com/dmlc/dlpack>`_.
  
      This function takes a cuDF object as input, and returns a PyCapsule object
      which contains a pointer to DLPack tensor. This function deep copies
      the data in the cuDF object into the DLPack tensor.
  
      Parameters
      ----------
      cudf_obj : cuDF Object
          Input cuDF object.
  
      Returns
      -------
      A  DLPack tensor pointer which is encapsulated in a PyCapsule object.
  
      Notes
      -----
      cuDF to_dlpack() produces column-major (Fortran order) output. If the
      output tensor needs to be row major, transpose the output of this function.
      """
      if isinstance(
          cudf_obj, (cudf.DataFrame, cudf.Series, cudf.BaseIndex)
      ):
          gdf = cudf_obj
      elif isinstance(cudf_obj, ColumnBase):
          gdf = cudf.Series._from_data({None: cudf_obj})
      else:
          raise TypeError(
              f"Input of type {type(cudf_obj)} cannot be converted "
              "to DLPack tensor"
          )
  
      if any(
          not cudf.api.types._is_non_decimal_numeric_dtype(col.dtype)
          for col in gdf._data.columns
      ):
          raise TypeError("non-numeric data not yet supported")
  
      dtype = cudf.utils.dtypes.find_common_type(
          [col.dtype for col in gdf._data.columns]
      )
      gdf = gdf.astype(dtype)
  
      return libdlpack.to_dlpack([*gdf._columns])
  
imports: import cudf
  from cudf._lib import interop
  from cudf.core.column import ColumnBase
  from cudf.utils import ioutils
label_desc: Use image node_id 2 for calling a global function with example usage: to_dlpack(cudf_obj) and returns: libdlpack