class_docstr: Convolutional FFN Module.
class_docstr_tok: ["Convolutional","FFN","Module","."]
code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      x = self.conv(x)
      x = self.fc1(x)
      x = self.act(x)
      x = self.drop(x)
      x = self.fc2(x)
      x = self.drop(x)
      return x
  
imports: import os
  import copy
  from functools import partial
  from typing import List, Tuple, Optional, Union
  import torch
  import torch.nn
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.models.layers import DropPath, trunc_normal_
  from timm.models.registry import register_model
  from models.modules.mobileone import MobileOneBlock
  from models.modules.replknet import ReparamLargeKernelConv
label_desc: Use image node_id 3 for calling the ConvFFN obj's underlying member method code with example usage: obj.forward(x) and returns: x