class_docstr: Transfer vis graph to class node, transfer class node to vis feature
code: def __init__(self, in_dim: int):
      super().__init__()
      self.channle_in = in_dim
      self.query_conv = nn.Conv1D(
          in_channels=in_dim, out_channels=in_dim // 2, kernel_size=1
      )
      self.key_conv = nn.Conv1D(
          in_channels=in_dim, out_channels=in_dim // 2, kernel_size=1
      )
      self.value_conv_vis = nn.Conv1D(
          in_channels=in_dim, out_channels=in_dim, kernel_size=1
      )
      self.value_conv_word = nn.Conv1D(
          in_channels=in_dim, out_channels=in_dim, kernel_size=1
      )
      self.softmax_vis = nn.Softmax(axis=-1)
      self.softmax_word = nn.Softmax(axis=-2)
  
imports: import os
  from typing import Union, List, Tuple
  import paddle
  from paddle import nn
  import paddle.nn.functional
  import numpy
  from paddlehub.module.module import moduleinfo
  import paddlehub.vision.segmentation_transforms
  from paddlehub.module.cv_module import ImageSegmentationModule
  from paddleseg.utils import utils
  from paddleseg.models import layers
  from ginet_resnet50vd_ade20k.resnet import ResNet50_vd
label_desc: Use image node_id 1 to create a new GraphTransfer object from inherited base classes: nn with example: obj = GraphTransfer(in_dim)