npu适配

[baymax591]

What does this PR do?

We use this PR to adapt Opencompass to the NPU for huggingface side code. This change can help us evaluate the quality and effectiveness of NLP models on NPU.

By using mmengine.device to import is_npu_available, we can determine whether it is currently running on the NPU environment. That is to say, if is_npu_available() returns True, it indicates that there is an available NPU in the running environment. And then, we can use torch.npu.device_count() to determine the currently available devices.

What is Ascend and torch_npu

The following information is quoted from: Lightning-AI/pytorch-lightning#19498 (comment)

1. Ascend is a full-stack AI computing infrastructure for industry applications and services based on Huawei Ascend processors and software. For more information about Ascend, see Ascend Community.
2. torch_npu is an officially recognized pytorch integration plugin to support Ascend NPU using the pytorch framework(through key PRivateUse1), please see the PrivateUse1 tutorial here.
3. Ascend is currently one of the premier members of the PyTorch Foundation.

[baymax591]

In order to pass this PR, we generated log documentation on both NPU and GPU. Thanks for reviewing！

The following are my command and log screenshot：

1. NPU：
   python run.py --models hf_qwen1_5_0_5b --datasets siqa_gen winogrande_gen
   
2. GPU：
   python run.py --models hf_qwen1_5_0_5b --datasets siqa_gen winogrande_gen
   

[baymax591]

cc @Leymore

[statelesshz]

cc @bittersweet1999