code: def test_validate_generation_inputs(self):
      tokenizer = AutoTokenizer.from_pretrained(
          "hf-internal-testing/tiny-bert"
      )
      model = FlaxAutoModelForCausalLM.from_pretrained(
          "hf-internal-testing/tiny-bert-flax-only"
      )
  
      encoder_input_str = "Hello world"
      input_ids = tokenizer(
          encoder_input_str, return_tensors="np"
      ).input_ids
  
      # typos are quickly detected (the correct argument is `do_sample`)
      with self.assertRaisesRegex(ValueError, "do_samples"):
          model.generate(input_ids, do_samples=True)
  
      # arbitrary arguments that will not be used anywhere are also not accepted
      with self.assertRaisesRegex(ValueError, "foo"):
          fake_model_kwargs = {"foo": "bar"}
          model.generate(input_ids, **fake_model_kwargs)
  
imports: import random
  import unittest
  import numpy
  import transformers
  from transformers import is_flax_available, is_torch_available
  from transformers.testing_utils import is_pt_flax_cross_test, require_flax
label_desc: Use image node_id 1 for calling the FlaxGenerationIntegrationTests obj's underlying member method code with example usage: obj.test_validate_generation_inputs() without return types