parameters: (self)
return_statement: return self._transform_example(ex)
docstring: Reads a TfExample.
  
      Returns:
        In case of EOD returns ``None``, otherwise a dictionary whose keys
        are the feature names, and values the tensors containing their
        data.
docstring_summary: Reads a TfExample.
docstring_tokens: Reads a TfExample .
function: def read_example(self):
      """Reads a TfExample.
  
      Returns:
        In case of EOD returns ``None``, otherwise a dictionary whose keys
        are the feature names, and values the tensors containing their
        data.
      """
      ex = torch_xla._XLAC._xla_tfexample_read(self._reader)
      if self._transforms is None or ex is None:
        return ex
      return self._transform_example(ex)
function_tokens: def read_example ( self ) : ex = torch_xla . _XLAC . _xla_tfexample_read ( self . _reader ) if self . _transforms is None or ex is None : return ex return self . _transform_example ( ex )