code: def forward(self, *inputs, **kwargs):
      if self.enable_cuda_graph:
          if self.cuda_graph_created[self.iter]:
              outputs = self._graph_replay(*inputs, **kwargs)
          else:
              self._create_cuda_graph(*inputs, **kwargs)
              outputs = self._graph_replay(*inputs, **kwargs)
          self.iter = (self.iter + 1) % 2
          return outputs
      else:
          return self.enc(*inputs, **kwargs)
  
file_path: DeepSpeed/deepspeed/model_implementations/transformers/clip_encoder.py
imports: import torch
  from deepspeed.accelerator import get_accelerator
  from ..features.cuda_graph import CUDAGraph
label_desc: Use image node_id 4 for calling the DSClipEncoder obj's underlying member method code with example usage: obj.forward() and returns: outputs, self