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.
code: def _prep_profile_cli_for_run_end(self, py_graph, run_metadata):
      self._init_command = "lp"
      self._run_cli = profile_analyzer_cli.create_profiler_ui(
          py_graph,
          run_metadata,
          ui_type=self._ui_type,
          config=self._run_cli.config,
      )
      self._title = "run-end (profiler mode): " + self._run_description
  
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 12 for calling the LocalCLIDebugWrapperSession obj's underlying member method code with example usage: obj._prep_profile_cli_for_run_end(py_graph, run_metadata) without return types