class_docstr: DLA Basic
class_docstr_tok: ["DLA","Basic"]
code: def forward(
      self,
      x,
      shortcut: Optional[torch.Tensor] = None,
      children: Optional[List[torch.Tensor]] = None,
  ):
      if shortcut is None:
          shortcut = x
  
      out = self.conv1(x)
      out = self.bn1(out)
      out = self.relu(out)
  
      out = self.conv2(out)
      out = self.bn2(out)
  
      out += shortcut
      out = self.relu(out)
  
      return out
  
imports: import math
  from typing import List, Optional
  import torch
  import torch.nn
  import torch.nn.functional
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import create_classifier
  from ._builder import build_model_with_cfg
  from ._registry import register_model, generate_default_cfgs
label_desc: Use image node_id 2 for calling the DlaBasic obj's underlying member method code with example usage: obj.forward(x, shortcut, children) and returns: out