class_docstr: Client-facing configurations for TFDBG command-line interfaces.
class_docstr_tok: ["Client-facing","configurations","for","TFDBG","command-line","interfaces","."]
code: def _load_from_file(self):
      try:
          with gfile.Open(self._config_file_path, "r") as config_file:
              config_dict = json.load(config_file)
              config = collections.OrderedDict()
              for key in sorted(config_dict.keys()):
                  config[key] = config_dict[key]
              return config
      except (IOError, ValueError):
          # The reading of the config file may fail due to IO issues or file
          # corruption. We do not want tfdbg to error out just because of that.
          return dict()
  
file_path: tensorflow-upstream/tensorflow/python/debug/cli/cli_config.py
imports: import collections
  import json
  import os
  from tensorflow.python.debug.cli import debugger_cli_common
  from tensorflow.python.platform import gfile
label_desc: Use image node_id 8 for calling the CLIConfig obj's underlying member method code with example usage: obj._load_from_file() and returns: config, dict