When importing model files in pytorch, the following error is reported.

RuntimeError: Error(s) in loading state_dict for DataParallel:
Unexpected running stats buffer(s) “module.norm1.norm_func.running_mean” and “module.norm1.norm_func.running_var” for InstanceNorm2d with track_running_stats=False. If state_dict is a checkpoint saved before 0.4.0, this may be expected because InstanceNorm2d does not track running stats by default since 0.4.0. Please remove these keys from state_dict. If the running stats are actually needed, instead set track_running_stats=True in InstanceNorm2d to enable them. See the documentation of InstanceNorm2d for details.
…
Unexpected running stats buffer(s) “module.res5.norm1.norm_func.running_mean” and “module.res5.norm1.norm_func.running_var” for InstanceNorm2d with track_running_stats=False. If state_dict is a checkpoint saved before 0.4.0, this may be expected because InstanceNorm2d does not track running stats by default since 0.4.0. Please remove these keys from state_dict. If the running stats are actually needed, instead set track_running_stats=True in InstanceNorm2d to enable them. See the documentation of InstanceNorm2d for details.
…
Process finished with exit code 0
According to the hint, the imported model was generated with pytorch 0.4.0, but now we are using pytorch 1.0, so we checked the load_state_dict function in the module.

I guess the keyword has changed with the version.
The solution is.
Change the above statement to

    model_dict = torch.load(args.test_weight_path)
    model_dict_clone = model_dict.copy()
    for key, value in model_dict_clone.items():
        if key.endswith(('running_mean', 'running_var')):
            del model_dict[key]

    Gnet.load_state_dict(model_dict,False)