code: def __init__(self, dim_in, dim_out, bias=False, **kwargs):
      super(GeneralEdgeAttConvv1, self).__init__()
      self.model = GeneralEdgeAttConvv1Layer(dim_in, dim_out, bias=bias)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn import Parameter
  from torch_geometric.nn.conv import MessagePassing
  from torch_geometric.nn.inits import glorot, zeros
  from torch_geometric.utils import add_remaining_self_loops, softmax
  from torch_scatter import scatter_add
  from graphgym.config import cfg
  from graphgym.register import register_layer
label_desc: Use image node_id 1 to create a new GeneralEdgeAttConvv1 object from inherited base classes: nn with example: obj = GeneralEdgeAttConvv1(dim_in, dim_out, bias)