class_docstr: Maintain the mapping from the loops to their grad states.
class_docstr_tok: ["Maintain","the","mapping","from","the","loops","to","their","grad","states","."]
code: def __init__(self):
      self._map = {}
  
imports: from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import control_flow_util
  from tensorflow.python.ops import control_flow_v2_func_graphs
  from tensorflow.python.ops import default_gradient
  from tensorflow.python.ops import gen_data_flow_ops
  from tensorflow.python.ops import gen_resource_variable_ops
  from tensorflow.python.ops import resource_variable_ops
label_desc: Use image node_id 1 to create a new _ControlFlowState object  with example: obj = _ControlFlowState()