code: def test_dynamic_cache_hard(self):
      tokenizer = AutoTokenizer.from_pretrained(
          "meta-llama/Llama-2-7b-hf", padding_side="left"
      )
      model = AutoModelForCausalLM.from_pretrained(
          "meta-llama/Llama-2-7b-hf",
          device_map="auto",
          torch_dtype=torch.float16,
      )
      inputs = tokenizer(
          ["Here's everything I know about cats. Cats"],
          return_tensors="pt",
      ).to(model.device)
  
      # DynamicCache and the legacy cache format should be equivalent
      set_seed(0)
      gen_out_legacy = model.generate(
          **inputs, do_sample=True, max_new_tokens=256
      )
      set_seed(0)
      gen_out = model.generate(
          **inputs,
          do_sample=True,
          max_new_tokens=256,
          past_key_values=DynamicCache(),
      )
      self.assertListEqual(gen_out_legacy.tolist(), gen_out.tolist())
  
      decoded = tokenizer.batch_decode(
          gen_out, skip_special_tokens=True
      )
      expected_text = (
          "Here's everything I know about cats. Cats are mysterious creatures. They can't talk, and they don't like "
          "to be held. They don't play fetch, and they don't like to be hugged. But they do like to be petted.\n"
          "Cats are also very independent. They don't like to be told what to do, and they don't like to be told "
          "what to eat. They are also very territorial. They don't like to share their food or their toys.\nCats "
          "are also very curious. They like to explore, and they like to play. They are also very fast. They can "
          "run very fast, and they can jump very high.\nCats are also very smart. They can learn tricks, and they "
          "can solve problems. They are also very playful. They like to play with toys, and they like to play with "
          "other cats.\nCats are also very affectionate. They like to be petted, and they like to be held. They "
          "also like to be scratched.\nCats are also very clean. They like to groom themselves, and they like to "
          "clean their litter box.\nCats are also very independent. They don't"
      )
      self.assertEqual(decoded[0], expected_text)
  
file_path: transformers/tests/test_cache_utils.py
imports: import unittest
  from transformers import set_seed
  from transformers.testing_utils import is_torch_available, require_auto_gptq, require_torch, require_torch_gpu, slow
label_desc: Use image node_id 1 for calling the CacheIntegrationTest obj's underlying member method code with example usage: obj.test_dynamic_cache_hard() without return types