code: def forward(self, x, edge_index, edge_weight=None):
      out = torch.zeros_like(x)
      out.requires_grad = True
      return out
  
imports: from torch_geometric.nn import GATConv, GCNConv, ChebConv, SAGEConv, GatedGraphConv, ARMAConv, SGConv
  import torch_geometric.nn
  import torch
  from torch import nn
  import torch.nn.functional
  import inspect
  import sys
  from torch_scatter import scatter_add
  import torch_scatter
  from torch.nn import Parameter
  from torch_geometric.nn.inits import glorot, zeros
  from torch_geometric.utils import remove_self_loops, add_self_loops, add_remaining_self_loops, softmax
label_desc: Use image node_id 1 for calling the ZeroConv obj's underlying member method code with example usage: obj.forward(x, edge_index, edge_weight) and returns: out