class_docstr: Concrete subclass of BaseDebugWrapperSession implementing a local CLI.
  
  This class has all the methods that a `session.Session` object has, in order
  to support debugging with minimal code changes. Invoking its `run()` method
  will launch the command-line interface (CLI) of tfdbg.
docstr: Launch the interactive command-line interface.
  
  Returns:
    The OnRunStartResponse specified by the user using the "run" command.
docstr_tok: ["Launch","the","interactive","command-line","interface",".","Returns",":","The","OnRunStartResponse","specified","by","the","user","using","the","``","run","''","command","."]
code: def _launch_cli(self):
      """Launch the interactive command-line interface.
  
      Returns:
        The OnRunStartResponse specified by the user using the "run" command.
      """
  
      self._register_this_run_info(self._run_cli)
      response = self._run_cli.run_ui(
          init_command=self._init_command,
          title=self._title,
          title_color=self._title_color,
      )
  
      return response
  
imports: import argparse
  import os
  import sys
  import tempfile
  from tensorflow.python.debug.cli import analyzer_cli
  from tensorflow.python.debug.cli import cli_config
  from tensorflow.python.debug.cli import cli_shared
  from tensorflow.python.debug.cli import command_parser
  from tensorflow.python.debug.cli import debugger_cli_common
  from tensorflow.python.debug.cli import profile_analyzer_cli
  from tensorflow.python.debug.cli import ui_factory
  from tensorflow.python.debug.lib import common
  from tensorflow.python.debug.lib import debug_data
  from tensorflow.python.debug.wrappers import framework
  from tensorflow.python.lib.io import file_io
label_desc: Use image node_id 13 for calling the LocalCLIDebugWrapperSession obj's underlying member method code with example usage: obj._launch_cli() and returns: response