code: def __init__(
      self, in_planes, out_planes, kernel_size, stride, padding=0
  ):
      super(BasicConv2d, self).__init__()
      self.conv = nn.Conv2d(
          in_planes,
          out_planes,
          kernel_size=kernel_size,
          stride=stride,
          padding=padding,
          bias=False,
      )
      self.bn = nn.BatchNorm2d(
          out_planes, eps=0.001, momentum=0, affine=True
      )
      self.relu = nn.ReLU(inplace=False)
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new BasicConv2d object from inherited base classes: nn with example: obj = BasicConv2d(in_planes, out_planes, kernel_size, stride, padding)