class_docstr: Canonicalizes continue statements into additional conditionals.
class_docstr_tok: ["Canonicalizes","continue","statements","into","additional","conditionals","."]
code: def _visit_loop_body(self, node, nodes):
      self.state[_Continue].enter()
      self.state[_Block].enter()
      self.state[_Block].is_loop_type = True
      scope = anno.getanno(node, NodeAnno.BODY_SCOPE)
      continue_var = self.ctx.namer.new_symbol(
          "continue_", scope.referenced
      )
      self.state[_Continue].control_var_name = continue_var
  
      nodes = self.visit_block(
          nodes, after_visit=self._postprocess_statement
      )
  
      if self.state[_Continue].used:
          template = """
          var_name = False
        """
          control_var_init = templates.replace(
              template, var_name=continue_var
          )
          nodes = control_var_init + nodes
  
      self.state[_Block].exit()
      self.state[_Continue].exit()
      return nodes
  
imports: from tensorflow.python.autograph.core import converter
  from tensorflow.python.autograph.pyct import anno
  from tensorflow.python.autograph.pyct import qual_names
  from tensorflow.python.autograph.pyct import templates
  from tensorflow.python.autograph.pyct.static_analysis import activity
  from tensorflow.python.autograph.pyct.static_analysis.annos import NodeAnno
label_desc: Use image node_id 3 for calling the ContinueCanonicalizationTransformer obj's underlying member method code with example usage: obj._visit_loop_body(node, nodes) and returns: nodes