code: def __init__(self, in_c, out_c):
      super(BlockTypeB, self).__init__()
      self.conv1 = nn.Sequential(
          nn.Conv2d(in_c, in_c, kernel_size=3, padding=1),
          nn.BatchNorm2d(in_c),
          nn.ReLU(),
      )
      self.conv2 = nn.Sequential(
          nn.Conv2d(in_c, out_c, kernel_size=3, padding=1),
          nn.BatchNorm2d(out_c),
          nn.ReLU(),
      )
  
imports: import os
  import sys
  import torch
  import torch.nn
  import torch.utils.model_zoo
  from torch.nn import functional
label_desc: Use image node_id 1 to create a new BlockTypeB object from inherited base classes: nn with example: obj = BlockTypeB(in_c, out_c)