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 _initialize_argparsers(self):
      self._argparsers = {}
      ap = argparse.ArgumentParser(
          description="Run through, with or without debug tensor watching.",
          usage=argparse.SUPPRESS,
      )
      ap.add_argument(
          "-t",
          "--times",
          dest="times",
          type=int,
          default=1,
          help="How many Session.run() calls to proceed with.",
      )
      ap.add_argument(
          "-n",
          "--no_debug",
          dest="no_debug",
          action="store_true",
          help="Run through without debug tensor watching.",
      )
      ap.add_argument(
          "-f",
          "--till_filter_pass",
          dest="till_filter_pass",
          type=str,
          default="",
          help="Run until a tensor in the graph passes the specified filter.",
      )
      ap.add_argument(
          "-fenn",
          "--filter_exclude_node_names",
          dest="filter_exclude_node_names",
          type=str,
          default="",
          help="When applying the tensor filter, exclude node with names "
          "matching the regular expression. Applicable only if --tensor_filter "
          "or -f is used.",
      )
      ap.add_argument(
          "--node_name_filter",
          dest="node_name_filter",
          type=str,
          default="",
          help="Regular-expression filter for node names to be watched in the "
          "run, e.g., loss, reshape.*",
      )
      ap.add_argument(
          "--op_type_filter",
          dest="op_type_filter",
          type=str,
          default="",
          help="Regular-expression filter for op type to be watched in the run, "
          "e.g., (MatMul|Add), Variable.*",
      )
      ap.add_argument(
          "--tensor_dtype_filter",
          dest="tensor_dtype_filter",
          type=str,
          default="",
          help="Regular-expression filter for tensor dtype to be watched in the "
          "run, e.g., (float32|float64), int.*",
      )
      ap.add_argument(
          "-p",
          "--profile",
          dest="profile",
          action="store_true",
          help="Run and profile TensorFlow graph execution.",
      )
      self._argparsers["run"] = ap
  
      ap = argparse.ArgumentParser(
          description="Display information about this Session.run() call.",
          usage=argparse.SUPPRESS,
      )
      self._argparsers["run_info"] = ap
  
      self._argparsers[
          "print_feed"
      ] = command_parser.get_print_tensor_argparser(
          "Print the value of a feed in feed_dict."
      )
  
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 3 for calling the LocalCLIDebugWrapperSession obj's underlying member method code with example usage: obj._initialize_argparsers() without return types