code: def accuracy(algorithm, loader_kwargs, weights, **kwargs):
      if isinstance(loader_kwargs, dict):
          loader = FastDataLoader(**loader_kwargs)
      elif isinstance(loader_kwargs, FastDataLoader):
          loader = loader_kwargs
      else:
          raise ValueError(loader_kwargs)
      return accuracy_from_loader(algorithm, loader, weights, **kwargs)
  
file_path: generalized-moe/domainbed/evaluator.py
imports: import collections
  import torch
  import torch.nn
  import torch.nn.functional
  from domainbed.lib.fast_data_loader import FastDataLoader
label_desc: Use image node_id 2 for calling a global function with example usage: accuracy(algorithm, loader_kwargs, weights) and returns: accuracy_from_loader