class_docstr: Performs TFJS conversion.
class_docstr_tok: ["Performs","TFJS","conversion","."]
docstr: Performs post-rewrite checks to see if the rewritten model is valid.
  
  Args:
    rewritten_model: A `ModelDescription` specifying the format and location
      of the rewritten model.
  
  Raises:
    ValueError: If the rewritten model is not valid.
docstr_tok: ["Performs","post-rewrite","checks","to","see","if","the","rewritten","model","is","valid",".","Args",":","rewritten_model",":","A","`","ModelDescription","`","specifying","the","format","and","location","of","the","rewritten","model",".","Raises",":","ValueError",":","If","the","rewritten","model","is","not","valid","."]
code: def _post_rewrite_validate(
      self, rewritten_model: rewriter.ModelDescription
  ):
      """Performs post-rewrite checks to see if the rewritten model is valid.
  
      Args:
        rewritten_model: A `ModelDescription` specifying the format and location
          of the rewritten model.
  
      Raises:
        ValueError: If the rewritten model is not valid.
      """
      # TODO(dzats): Implement post-rewrite validation.
      pass
  
file_path: tfx/tfx/components/trainer/rewriting/tfjs_rewriter.py
imports: from tensorflowjs.converters import converter
  from tfx.components.trainer.rewriting import rewriter
label_desc: Use image node_id 5 for calling the TFJSRewriter obj's underlying member method code with example usage: obj._post_rewrite_validate(rewritten_model) without return types