code: def forward(self, x: Tensor) -> Tensor:
      return self.act(
          x + self.drop_path(self.conv3(self.conv2(self.conv1(x))))
      )
  
imports: from __future__ import annotations
  import itertools
  import warnings
  from typing import Any, Optional
  import torch
  import torch.nn.functional
  from torch import nn
  from torch.utils import checkpoint
  from kornia.contrib.models.common import DropPath, LayerNorm2d, window_partition, window_unpartition
  from kornia.core import Module, Tensor
  from kornia.core.check import KORNIA_CHECK
label_desc: Use image node_id 2 for calling the MBConv obj's underlying member method code with example usage: obj.forward(x) and returns: self