code: def bias_dropout_add_fused_train(x, bias, residual, prob):
      # re-enable torch grad to enable fused optimization.
      with torch.enable_grad():
          args = _cast_if_autocast_enabled(x, bias, residual, prob)
          with torch.cuda.amp.autocast(enabled=False):
              return bias_dropout_add_fused_train_(*args)
  
imports: import torch
label_desc: Use image node_id 4 for calling a global function with example usage: bias_dropout_add_fused_train(x, bias, residual, prob) and returns: bias_dropout_add_fused_train_