code: def backward(ctx, grad_output):
      raise RuntimeError(
          "You are running with DeepSpeed Inference mode. \
                              Please switch to Training mode for running backward!"
      )
  
file_path: H2O/h2o_flexgen/benchmark/third_party/DeepSpeed/deepspeed/ops/transformer/inference/ds_mlp.py
imports: import torch
  from torch.autograd import Function
  from deepspeed.utils.types import ActivationFuncType
  from deepspeed import comm
  import torch.nn
  import math
  from ...None import op_builder
label_desc: Use image node_id 2 for calling the DeepSpeedMLPFunction obj's underlying member method code with example usage: obj.backward(ctx, grad_output) without return types