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Description
I ran run_fedavg_distributed_pytorch but the experiment was stuck after creating the model done. What's wrong?
2022-04-10,23:37:38.903 - {data_loader.py (453)} - load_partition_data(): Client idx = 0, local sample number = 191
2022-04-10,23:37:38.903 - {data_loader.py (453)} - load_partition_data(): Client idx = 1, local sample number = 190
2022-04-10,23:37:38.903 - {data_loader.py (453)} - load_partition_data(): Client idx = 2, local sample number = 190
2022-04-10,23:37:38.903 - {data_loader.py (453)} - load_partition_data(): Client idx = 3, local sample number = 190
2022-04-10,23:37:38.903 - {data_loader.py (453)} - load_partition_data(): Client idx = 4, local sample number = 190
2022-04-10,23:37:38.903 - {data_loader.py (453)} - load_partition_data(): Client idx = 5, local sample number = 190
2022-04-10,23:37:38.904 - {main_fedavg.py (139)} - create_model(): create_model. model_name = graphsage, output_dim = None
2022-04-10,23:37:38.929 - {main_fedavg.py (180)} - create_model(): done
