code: def __call__(self, x: Tensor):
      if self.training:
          return self.module(x)
      if self._is_cache_void(x):
          self._memory_input = x
          self._memory_output = self.module(x)
      return self._memory_output
  
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 3 for calling the LRUCacheModule obj's underlying member method code with example usage: obj.__call__(x) and returns: self, self