code: def __init__(self, in_chan, out_chan, stride=1):
      super(BasicBlock, self).__init__()
      self.conv1 = conv3x3(in_chan, out_chan, stride)
      self.bn1 = nn.BatchNorm2d(out_chan)
      self.conv2 = conv3x3(out_chan, out_chan)
      self.bn2 = nn.BatchNorm2d(out_chan)
      self.relu = nn.ReLU(inplace=True)
      self.downsample = None
      if in_chan != out_chan or stride != 1:
          self.downsample = nn.Sequential(
              nn.Conv2d(
                  in_chan,
                  out_chan,
                  kernel_size=1,
                  stride=stride,
                  bias=False,
              ),
              nn.BatchNorm2d(out_chan),
          )
  
file_path: insightface/reconstruction/ostec/external/graphonomy/FaceHairMask/ParsingResnet.py
imports: import torch.nn
  import torch.nn.functional
  import torch.utils.model_zoo
label_desc: Use image node_id 1 to create a new BasicBlock object from inherited base classes: nn with example: obj = BasicBlock(in_chan, out_chan, stride)