code: def forward(self, *inputs, **kwargs):
      inputs = self.on_forward_start(inputs)
      kwargs = self.on_forward_start_kwargs(**kwargs)
      outputs = self.forward_step(*inputs, **kwargs)
      return self.on_forward_end(outputs)
  
file_path: BigDL/python/nano/src/bigdl/nano/pytorch/model.py
imports: import torch
  from bigdl.nano.pytorch.lightning import LightningModule
  from bigdl.nano.utils.common import invalidInputError
  from bigdl.nano.utils.common import AcceleratedModel
  import numpy
  from typing import Sequence
label_desc: Use image node_id 2 for calling the AcceleratedLightningModule obj's underlying member method code with example usage: obj.forward() and returns: self