code: def forward(self, x: Tensor) -> Tensor:
      if self.has_expansion:
          result = self.expand_conv(x)
          result = self.project_conv(result)
      else:
          result = self.project_conv(x)
  
      if self.has_shortcut:
          if self.drop_rate > 0:
              result = self.dropout(result)
  
          result += x
  
      return result
  
imports: from collections import OrderedDict
  from functools import partial
  from typing import Callable, Optional
  import torch.nn
  import torch
  from torch import Tensor
label_desc: Use image node_id 2 for calling the FusedMBConv obj's underlying member method code with example usage: obj.forward(x) and returns: result