code: def __init__(self, in_channels, out_channels):
      super(Conv3x3BNReLU, self).__init__(
          in_channels, out_channels, kernel_size=3, stride=1, padding=1
      )
  
imports: import math
  import torch
  import torch.nn
  from nni.nas.nn.pytorch import ModelSpace
  from .modules.nasbench101 import NasBench101Cell
label_desc: Use image node_id 1 to create a new Conv3x3BNReLU object from inherited base classes: ConvBNReLU with example: obj = Conv3x3BNReLU(in_channels, out_channels)