Method list_outputs

tensorflow/python/debug/cli/analyzer_cli.py:1052–1086

Command handler for inputs. Show inputs to a given node. Args: args: Command-line arguments, excluding the command prefix, as a list of str. screen_info: Optional dict input containing screen information such as cols. Returns: Output text lines as a R

(self, args, screen_info=None)

    return output

  def list_outputs(self, args, screen_info=None):
    """Command handler for inputs.

    Show inputs to a given node.

    Args:
      args: Command-line arguments, excluding the command prefix, as a list of
        str.
      screen_info: Optional dict input containing screen information such as
        cols.

    Returns:
      Output text lines as a RichTextLines object.
    """

    # Screen info not currently used by this handler. Include this line to
    # mute pylint.
    _ = screen_info
    # TODO(cais): Use screen info to format the output lines more prettily,
    # e.g., hanging indent of long node names.

    parsed = self._arg_parsers["list_outputs"].parse_args(args)

    output = self._list_inputs_or_outputs(
        parsed.recursive,
        parsed.node_name,
        parsed.depth,
        parsed.control,
        parsed.op_type,
        do_outputs=True)

    node_name = debug_graphs.get_node_name(parsed.node_name)
    _add_main_menu(output, node_name=node_name, enable_list_outputs=False)

    return output

  def evaluate_expression(self, args, screen_info=None):
    parsed = self._arg_parsers["eval"].parse_args(args)