class_docstr: Provides information about the `session.run()` call being made.
  
  Provides information about original request to `Session.Run()` function.
  SessionRunHook objects can stop the loop by calling `request_stop()` of
  `run_context`. In the future we may use this object to add more information
  about run without changing the Hook API.
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docstr: A `SessionRunArgs` object holding the original arguments of `run()`.
  
  If user called `MonitoredSession.run(fetches=a, feed_dict=b)`, then this
  field is equal to SessionRunArgs(a, b).
  
  Returns:
   A `SessionRunArgs` object
docstr_tok: ["A","`","SessionRunArgs","`","object","holding","the","original","arguments","of","`","run","(",")","`",".","If","user","called","`","MonitoredSession.run","(","fetches=a",",","feed_dict=b",")","`",",","then","this","field","is","equal","to","SessionRunArgs","(","a",",","b",")",".","Returns",":","A","`","SessionRunArgs","`","object"]
code: def original_args(self):
      """A `SessionRunArgs` object holding the original arguments of `run()`.
  
      If user called `MonitoredSession.run(fetches=a, feed_dict=b)`, then this
      field is equal to SessionRunArgs(a, b).
  
      Returns:
       A `SessionRunArgs` object
      """
      return self._original_args
  
file_path: tensorflow/tensorflow/python/training/session_run_hook.py
imports: import collections
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 2 for calling the SessionRunContext obj's underlying member method code with example usage: obj.original_args() and returns: self