code: def test_lm_generate_falcon(self):
      tokenizer = AutoTokenizer.from_pretrained(
          "Rocketknight1/falcon-rw-1b"
      )
      model = FalconForCausalLM.from_pretrained(
          "Rocketknight1/falcon-rw-1b"
      )
      model.eval()
      model.to(torch_device)
      inputs = tokenizer("My favorite food is", return_tensors="pt").to(
          torch_device
      )
  
      EXPECTED_OUTPUT = "My favorite food is pizza. I love it so much that I have a pizza party every year for my birthday."
  
      output_ids = model.generate(
          **inputs, do_sample=False, max_new_tokens=19
      )
      output_str = tokenizer.batch_decode(output_ids)[0]
  
      self.assertEqual(output_str, EXPECTED_OUTPUT)
  
imports: import tempfile
  import unittest
  from parameterized import parameterized
  from transformers import AutoModelForCausalLM, AutoTokenizer, FalconConfig, is_torch_available, set_seed
  from transformers.testing_utils import require_bitsandbytes, require_torch, require_torch_sdpa, slow, torch_device
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 1 for calling the FalconLanguageGenerationTest obj's underlying member method code with example usage: obj.test_lm_generate_falcon() without return types