code: def __convblock(dim_in, dim_out):
      return nn.Sequential(
          nn.InstanceNorm2D(dim_in, weight_attr=False, bias_attr=False),
          nn.ReLU(),
          nn.Pad2D([1, 1, 1, 1], "reflect"),
          nn.Conv2D(
              dim_in, dim_out, kernel_size=3, stride=1, bias_attr=False
          ),
      )
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
label_desc: Use image node_id 2 for calling the ConvBlock obj's underlying member method code with example usage: obj.__convblock(dim_in, dim_out) and returns: nn