code: def raise_warnings_cache_replicated(module, replicate_in_memory):
      if (
          isinstance(module, nn.Module)
          and replicate_in_memory
          and any(
              isinstance(m, LRUCacheModule) for m in module.modules()
          )
      ):
          warnings.warn(WARNING_CACHE_REPLICATED, UserWarning)
  
imports: import warnings
  from torch import nn
  from baal.bayesian.caching_utils import LRUCacheModule
label_desc: Use image node_id 1 for calling a global function with example usage: raise_warnings_cache_replicated(module, replicate_in_memory) without return types