code: def forward(self, x):
      shortcut = x
  
      x = self.conv1(x)
      x = self.bn1(x)
      x = self.drop_block(x)
      x = self.act1(x)
      x = self.aa(x)
  
      x = self.conv2(x)
      x = self.bn2(x)
  
      if self.se is not None:
          x = self.se(x)
  
      if self.drop_path is not None:
          x = self.drop_path(x)
  
      if self.downsample is not None:
          shortcut = self.downsample(shortcut)
      x += shortcut
      x = self.act2(x)
  
      return x
  
imports: import math
  from functools import partial
  import torch
  import torch.nn
  import torch.nn.functional
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.models.helpers import build_model_with_cfg
  from timm.models.layers import DropBlock2d, DropPath, AvgPool2dSame, BlurPool2d, GroupNorm, create_attn, get_attn, create_classifier
label_desc: Use image node_id 3 for calling the BasicBlock obj's underlying member method code with example usage: obj.forward(x) and returns: x