code: def __init__(
      self,
      dim,
      padding_type,
      norm_layer,
      activation=nn.ReLU(True),
      use_dropout=False,
  ):
      super(ResnetBlock, self).__init__()
      self.conv_block = self.build_conv_block(
          dim, padding_type, norm_layer, activation, use_dropout
      )
  
imports: import torch
  import torch.nn
  import functools
  from torch.autograd import Variable
  import numpy
label_desc: Use image node_id 1 to create a new ResnetBlock object from inherited base classes: nn with example: obj = ResnetBlock(dim, padding_type, norm_layer, activation, use_dropout)