code: def convert_pyg2pgl(pgl_model, pyg_model):
      pyg_state_dict = pyg_model.state_dict()
      mapping = {
          "conv1.bias": "conv1.bias",
          "conv2.bias": "conv2.bias",
          "conv1.linear.weight": "conv1.weight",
          "conv2.linear.weight": "conv2.weight",
      }
  
      for key, value in pgl_model.state_dict().items():
          if mapping[key] in pyg_state_dict:
              print("Load key", key, " from PyG")
              value.set_value(
                  pyg_state_dict[mapping[key]].cpu().numpy()
              )
          else:
              print("Not found key", key, " from PyG")
  
file_path: PGL/examples/AITISA/load_model_from_pyg/gcn.py
imports: import pgl
  import paddle
  import torch
  import torch.nn.functional
  from torch_geometric.nn import GCNConv
  import argparse
  import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: convert_pyg2pgl(pgl_model, pyg_model) without return types