code: def __init__(self, num_state=128, num_node=64, bias=False):
      super().__init__()
      self.conv1 = nn.Conv1D(
          num_node,
          num_node,
          kernel_size=1,
          padding=0,
          stride=1,
          groups=1,
      )
      self.relu = nn.ReLU()
      self.conv2 = nn.Conv1D(
          num_state,
          num_state,
          kernel_size=1,
          padding=0,
          stride=1,
          groups=1,
          bias_attr=bias,
      )
  
imports: import paddle
  import paddle.nn
  from paddle.nn import functional
  from paddleseg.utils import utils
  from paddleseg.models import layers
  from paddleseg.cvlibs import manager
label_desc: Use image node_id 1 to create a new GCN object from inherited base classes: nn with example: obj = GCN(num_state, num_node, bias)