class_docstr: Command-line-interface debugger hook.
  
  Can be used as a hook for `tf.compat.v1.train.MonitoredSession`s and
  `tf.estimator.Estimator`s. Provides a substitute for
  `tfdbg.LocalCLIDebugWrapperSession` in cases where the session is not directly
  available.
class_docstr_tok: ["Command-line-interface","debugger","hook",".","Can","be","used","as","a","hook","for","`","tf.compat.v1.train.MonitoredSession","`","s","and","`","tf.estimator.Estimator","`","s",".","Provides","a","substitute","for","`","tfdbg.LocalCLIDebugWrapperSession","`","in","cases","where","the","session","is","not","directly","available","."]
code: def after_run(self, run_context, run_values):
      # Adapt run_context and run_values to OnRunEndRequest and invoke superclass
      # on_run_end()
      on_run_end_request = framework.OnRunEndRequest(
          self._performed_action, run_values.run_metadata
      )
      self._session_wrapper.on_run_end(on_run_end_request)
  
imports: from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.debug.lib import debug_utils
  from tensorflow.python.debug.wrappers import dumping_wrapper
  from tensorflow.python.debug.wrappers import framework
  from tensorflow.python.debug.wrappers import grpc_wrapper
  from tensorflow.python.debug.wrappers import local_cli_wrapper
  from tensorflow.python.training import session_run_hook
label_desc: Use image node_id 5 for calling the LocalCLIDebugHook obj's underlying member method code with example usage: obj.after_run(run_context, run_values) without return types