code: def test_lm_generation_use_cache(self):
      # The big models are way too big for the CI, so we use tiny random models that resemble their
      # architectures but with much smaller and fewer layers
      with torch.no_grad():
          for repo in [
              "Rocketknight1/falcon-rw-1b",
              "Rocketknight1/tiny-random-falcon-7b",
              "Rocketknight1/tiny-random-falcon-40b",
          ]:
              tokenizer = AutoTokenizer.from_pretrained(repo)
              model = FalconForCausalLM.from_pretrained(repo)
              model.eval()
              model.to(device=torch_device)
              inputs = tokenizer(
                  "My favorite food is", return_tensors="pt"
              ).to(torch_device)
  
              # Test results are the same with and without cache
              outputs_no_cache = model.generate(
                  **inputs,
                  do_sample=False,
                  max_new_tokens=20,
                  use_cache=False,
              )
              outputs_cache = model.generate(
                  **inputs,
                  do_sample=False,
                  max_new_tokens=20,
                  use_cache=True,
              )
              self.assertTrue(
                  (outputs_cache - outputs_no_cache).sum().item() == 0
              )
  
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 3 for calling the FalconLanguageGenerationTest obj's underlying member method code with example usage: obj.test_lm_generation_use_cache() without return types