class_docstr: Used to incrementally build up a TensorFlow run.
  
  This is particularly useful for batching ops from multiple different
  policies in the multi-agent setting.
class_docstr_tok: ["Used","to","incrementally","build","up","a","TensorFlow","run",".","This","is","particularly","useful","for","batching","ops","from","multiple","different","policies","in","the","multi-agent","setting","."]
code: def add_feed_dict(self, feed_dict):
      assert not self._executed
      for k in feed_dict:
          if k in self.feed_dict:
              raise ValueError("Key added twice: {}".format(k))
      self.feed_dict.update(feed_dict)
  
file_path: ray/python/ray/rllib/utils/tf_run_builder.py
imports: import logging
  import os
  import time
  from ray.util.debug import log_once
  from ray.rllib.utils.framework import try_import_tf
label_desc: Use image node_id 2 for calling the _TFRunBuilder obj's underlying member method code with example usage: obj.add_feed_dict(feed_dict) without return types