try to test multi xpu with example about bigdl HOT 14 OPEN

Hi, @K-Alex13 , if you have downloaded the model from https://huggingface.co/Qwen/Qwen1.5-14B-Chat/tree/main, please just replace 'Qwen/Qwen1.5-14B-Chat' with your local model folder path here(https://github.com/intel-analytics/ipex-llm/blob/main/python/llm/example/GPU/Deepspeed-AutoTP/run_qwen_14b_arc_2_card.sh#L38).

from bigdl.

Yes I already use this method, the error comes up after the process you mentioned

from bigdl.

And the error mentioned missing file are also not in the Qwen/Qwen1.5-14B-Chat files.

from bigdl.

And the error mentioned missing file are also not in the Qwen/Qwen1.5-14B-Chat files.

If model.safetensors.index.json is not in your local folder, such error message would still occur. You may need to check whether all model files are available and complete in your local model folder.

from bigdl.

what is the function of low-bit here. I think it is 4 bit initial that the gpu needed will less than 16G so I do not know if this use two gpu here. or can you please tell how to check the gpu usage during inference?

from bigdl.

Why gpu 0 did not inference the results and gpu1 did.

from bigdl.

what is the function of low-bit here. I think it is 4 bit initial that the gpu needed will less than 16G so I do not know if this use two gpu here. or can you please tell how to check the gpu usage during inference?

• As we introduced in README, you could specify other low bit optimizations (such as fp8) through --low-bit.
• If you want to monitor GPU usage, you could use a tool named xpu-smi. Use sudo apt install xpu-smi to install, then you could use sudo xpu-smi stats -d 0 to check memory usage of GPU 0.

Why gpu 0 did not inference the results and gpu1 did.

• Both GPU did inference but we only print inference result of RANK 0 here. In the log, [0] corresponds to output message of RANK 0 while [1] is RANK 1.

from bigdl.

still not working

from bigdl.

still not working

According to your screenshot, maybe you could try sudo apt install libmetee and sudo apt install libmetee-dev.

from bigdl.

how to use them

from bigdl.

how to use them

Sorry but I have no idea about the meaning of 'them'. ME TEE Library (libmetee/libmetee-dev) is a C library to access CSE/CSME/GSC firmware via, and xpu-smi tool seems to need. Could you use xpu-smi now?

from bigdl.

I install the packages you said above and try to us xpu-smi, same error comes up

from bigdl.

By the way I want to know if this is not a method which use two gpu as a bigger gpu to inference message. It just put model in two different gpu separately and inference separately?

from bigdl.

I install the packages you said above and try to us xpu-smi, same error comes up

Maybe you could try these steps?

sudo apt-get autoremove libmetee-dev
sudo apt-get autoremove libmetee
sudo apt-get install libmetee
sudo apt-get install libmetee-dev
sudo apt-get install xpu-smi

By the way I want to know if this is not a method which use two gpu as a bigger gpu to inference message. It just put model in two different gpu separately and inference separately?

The model is separated and put to two GPUs, each GPU need less memory to inference. In this way, you could treat two GPUs as a bigger one.

from bigdl.