code: def _is_cache_void(self, x):
      return self._memory_input is None or not torch.equal(
          self._memory_input, x
      )
  
file_path: baal/baal/bayesian/caching_utils.py
imports: from typing import Optional
  import torch
  from torch import nn, Tensor
  from baal.bayesian.common import BayesianModule, _patching_wrapper
label_desc: Use image node_id 2 for calling the LRUCacheModule obj's underlying member method code with example usage: obj._is_cache_void(x) and returns: unknown