class_docstr: Helper class to manage calculating and caching control_outputs in graph.
class_docstr_tok: ["Helper","class","to","manage","calculating","and","caching","control_outputs","in","graph","."]
code: def __init__(self):
      self.cache = {}
  
file_path: tensorflow/tensorflow/python/framework/subscribe.py
imports: import contextlib
  import re
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 1 to create a new _ControlOutputCache object from inherited base classes: object with example: obj = _ControlOutputCache()