class_docstr: Encapsulation of the basic CFG state changes needed for lowering.
class_docstr_tok: ["Encapsulation","of","the","basic","CFG","state","changes","needed","for","lowering","."]
code: def control_flow_graph(self):
      return inst.ControlFlowGraph(self.blocks)
  
imports: import collections
  from tensorflow_probability.python.experimental.auto_batching import instructions
  from tensorflow_probability.python.experimental.auto_batching import liveness
label_desc: Use image node_id 9 for calling the ControlFlowGraphBuilder obj's underlying member method code with example usage: obj.control_flow_graph() and returns: inst