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 cur_block(self):
      return self.blocks[-1]
  
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 2 for calling the ControlFlowGraphBuilder obj's underlying member method code with example usage: obj.cur_block() and returns: self