code: def __init__(
      self,
      name,
      channels,
      norm_layer,
      use_dropout,
      use_dilation,
      use_bias,
  ):
      super(ResBlock, self).__init__()
      if use_dilation:
          padding_mat = [1, 1, 1, 1]
      else:
          padding_mat = [0, 0, 0, 0]
      self._pad1 = nn.Pad2D(padding_mat, mode="replicate")
  
      self._sn_conv1 = SNConv(
          name=name + "_sn_conv1",
          in_channels=channels,
          out_channels=channels,
          kernel_size=3,
          padding=0,
          norm_layer=norm_layer,
          use_bias=use_bias,
          act="ReLU",
          act_attr=None,
      )
      if use_dropout:
          self._dropout = nn.Dropout(0.5)
      else:
          self._dropout = None
      self._pad2 = nn.Pad2D([1, 1, 1, 1], mode="replicate")
      self._sn_conv2 = SNConv(
          name=name + "_sn_conv2",
          in_channels=channels,
          out_channels=channels,
          kernel_size=3,
          norm_layer=norm_layer,
          use_bias=use_bias,
          act="ReLU",
          act_attr=None,
      )
  
imports: import paddle
  import paddle.nn
  from arch.spectral_norm import spectral_norm
label_desc: Use image node_id 1 to create a new ResBlock object from inherited base classes: nn with example: obj = ResBlock(name, channels, norm_layer, use_dropout, use_dilation, use_bias)