code: def from_dlpack(pycapsule_obj):
      """Converts from a DLPack tensor to a cuDF object.
  
      DLPack is an open-source memory tensor structure:
      `dmlc/dlpack <https://github.com/dmlc/dlpack>`_.
  
      This function takes a PyCapsule object which contains a pointer to
      a DLPack tensor as input, and returns a cuDF object. This function deep
      copies the data in the DLPack tensor into a cuDF object.
  
      Parameters
      ----------
      pycapsule_obj : PyCapsule
          Input DLPack tensor pointer which is encapsulated in a PyCapsule
          object.
  
      Returns
      -------
      A cuDF DataFrame or Series depending on if the input DLPack tensor is 1D
      or 2D.
  
      Notes
      -----
      cuDF from_dlpack() assumes column-major (Fortran order) input. If the input
      tensor is row-major, transpose it before passing it to this function.
      """
  
      columns = libdlpack.from_dlpack(pycapsule_obj)
      column_names = range(len(columns))
  
      if len(columns) == 1:
          return cudf.Series._from_columns(
              columns, column_names=column_names
          )
      else:
          return cudf.DataFrame._from_columns(
              columns, column_names=column_names
          )
  
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 1 for calling a global function with example usage: from_dlpack(pycapsule_obj) and returns: cudf, cudf