code: def __init__(self, input_channels, output_channels, **kwargs):
      super().__init__()
      self.conv = nn.Conv2d(
          input_channels, output_channels, bias=False, **kwargs
      )
      self.bn = nn.BatchNorm2d(output_channels)
      self.relu = nn.ReLU(inplace=True)
  
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(input_channels, output_channels)