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Assign the parameters of each layer to multiple CUDA devices automatically. #13

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Assign the parameters of each layer to multiple CUDA devices automatically. #13

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lipan6461188
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I implemented a model.Transformer.cuda function to automatically assign the parameters of each layer to detected CUDA devices. This can help to load the 65B model to ≥ 2 40G A100 GPUs with the following command:

CUDA_VISIBLE_DEVICES=0,1 python example.py --ckpt_dir /path/to/model/65B --tokenizer_path /path/to/model/tokenizer.model --max_batch_size=1

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