code: def recover_from_xformer_model(model: nn.Module) -> nn.Module:
      for module in model.modules():
          if isinstance(module, XOPTAttention):
              module.__class__ = OPTAttention
      return model
  
imports: import torch.nn
  from transformers.models.opt.modeling_opt import OPTAttention
  from .opt_attn import XOPTAttention
label_desc: Use image node_id 2 for calling a global function with example usage: recover_from_xformer_model(model) and returns: model