Support for M1 Mac, or non-cuda devices

Seems like parts of the code explicitly call cuda functions, so you can't just switch it to MPS for Macs. Any roadmap for supporting Macs?

Io.py
```python
def load_pretrained_model(model_path: str):
vl_chat_processor: VLChatProcessor = VLChatProcessor.from_pretrained(model_path)
tokenizer = vl_chat_processor.tokenizer

vl_gpt: MultiModalityCausalLM = AutoModelForCausalLM.from_pretrained(
model_path, trust_remote_code=True
)
vl_gpt = vl_gpt.to(torch.bfloat16).cuda().eval()
```

error

```
File "/Users/user/projects/ai/DeepSeek-VL/deepseek_vl/utils/io.py", line 37, in load_pretrained_model
vl_gpt = vl_gpt.to(torch.bfloat16).cuda().eval()
File "/Users/user/miniconda3/envs/py39/lib/python3.9/site-packages/transformers/modeling_utils.py", line 2528, in cuda
return super().cuda(*args, **kwargs)
File "/Users/user/miniconda3/envs/py39/lib/python3.9/site-packages/torch/nn/modules/module.py", line 911, in cuda
return self._apply(lambda t: t.cuda(device))
File "/Users/user/miniconda3/envs/py39/lib/python3.9/site-packages/torch/nn/modules/module.py", line 802, in _apply
module._apply(fn)
File "/Users/user/miniconda3/envs/py39/lib/python3.9/site-packages/torch/nn/modules/module.py", line 802, in _apply
module._apply(fn)
File "/Users/user/miniconda3/envs/py39/lib/python3.9/site-packages/torch/nn/modules/module.py", line 802, in _apply
module._apply(fn)
[Previous line repeated 2 more times]
File "/Users/user/miniconda3/envs/py39/lib/python3.9/site-packages/torch/nn/modules/module.py", line 825, in _apply
param_applied = fn(param)
File "/Users/user/miniconda3/envs/py39/lib/python3.9/site-packages/torch/nn/modules/module.py", line 911, in
return self._apply(lambda t: t.cuda(device))
File "/Users/user/miniconda3/envs/py39/lib/python3.9/site-packages/torch/cuda/__init__.py", line 293, in _lazy_init
raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled
```