Add training support and change lspci for Ascend NPU

[wangshuai09]

Description

• gpu_info=$(lspci 2>/dev/null | grep -E "VGA|Display") shows the iBMC chip VGA support for Ascend NPU because Ascend NPU has no ability of VGA or Display. So "npu-smi info" is more suitable to comfirm Ascend NPU exists.
• support training of embedding and hypernetwork.

Screenshots/videos:

• train embedding
  
  

• train hypernetwork
  
  

Checklist:

• I have read contributing wiki page
• I have performed a self-review of my own code
• My code follows the style guidelines
• My code passes tests

[AUTOMATIC1111]

And how would it look for the case where no videocard and no NPU is available?

[wangshuai09]

If there are no video card and NPU, the torch_command will not change.

stable-diffusion-webui/modules/launch_utils.py

Line 318 in cf2772f

torch_command = os.environ.get('TORCH_COMMAND', f"pip install torch==2.0.1 torchvision==0.15.2 --extra-index-url {torch_index_url}")

It will use cpu as backend and here is screen shoot running with a downloaded embedding,

There is a bug in windows with cpu, if using create Embedding, it could save success,

But there is no test.pt when training, maybe something wrong in save embedding process.

[AUTOMATIC1111]

What I mean is, it will try to run npu-smi, and that does not exist on most machine.

elif eval "npu-smi info" line should be elif npu-smi info 2>/dev/null

[wangshuai09]

Sorry for my misunderstanding. It will print error on screen using elif eval "npu-smi info.
Your advise is so great.