code: def test_generation(self, model, tokens, tokenizer):
      output = model.generate(
          **tokens,
          # num_beams=5,
          max_length=40,
          no_repeat_ngram_size=4,
          do_sample=True,
          top_p=0.7,
      )
  
      gen = tokenizer.batch_decode(output)[0]
      print("generate:", gen.replace("\n", "\\n"))
      print()
      assert isinstance(gen, str)
  
file_path: parallelformers/tests/causal_lm.py
imports: import os
  import random
  import unittest
  from argparse import ArgumentParser
  import numpy
  import torch
  from transformers import AutoModelForCausalLM, AutoTokenizer
  from parallelformers import parallelize
label_desc: Use image node_id 1 for calling the TestForCausalLM obj's underlying member method code with example usage: obj.test_generation(model, tokens, tokenizer) without return types