when I use "convert_pytorch_checkpoint_to_tf", I meet some problems
I found that these args are not really useful, actually I can not run the code when use the arg—— "model_name" 
the origin code is like this, which I find it not work:
`    model = BertModel.from_pretrained(
        pretrained_model_name_or_path=args.model_name,
        state_dict=torch.load(args.pytorch_model_path),
        cache_dir=args.cache_dir,
    )
`
when I change the code as the follow , I can run it successfully
`    model = BertModel.from_pretrained(
        pretrained_model_name_or_path=args.cache_dir
    )
`
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