5c8ccf0ba9
Add multi-stage Pipeline-Parallel-FastAPI example --------- Co-authored-by: hzjane <a1015616934@qq.com>
33 lines
1.3 KiB
Markdown
33 lines
1.3 KiB
Markdown
# Serve IPEX-LLM on Multiple Intel GPUs in multi-stage pipeline parallel fashion
|
|
|
|
This example demonstrates how to run IPEX-LLM serving on multiple [Intel GPUs](../README.md) with Pipeline Parallel.
|
|
|
|
## Requirements
|
|
|
|
To run this example with IPEX-LLM on Intel GPUs, we have some recommended requirements for your machine, please refer to [here](../README.md#recommended-requirements) for more information. For this particular example, you will need at least two GPUs on your machine.
|
|
|
|
## Example
|
|
|
|
### 1. Install
|
|
|
|
```bash
|
|
conda create -n llm python=3.11
|
|
conda activate llm
|
|
# below command will install intel_extension_for_pytorch==2.1.10+xpu as default
|
|
pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
|
|
pip install oneccl_bind_pt==2.1.100 --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
|
|
# configures OneAPI environment variables
|
|
source /opt/intel/oneapi/setvars.sh
|
|
# pip install git+https://github.com/microsoft/DeepSpeed.git@ed8aed5
|
|
# pip install git+https://github.com/intel/intel-extension-for-deepspeed.git@0eb734b
|
|
pip install mpi4py fastapi uvicorn
|
|
conda install -c conda-forge -y gperftools=2.10 # to enable tcmalloc
|
|
```
|
|
|
|
### 2. Run pipeline parallel serving on multiple GPUs
|
|
|
|
```bash
|
|
# Need to set MODEL_PATH in run.sh first
|
|
bash run.sh
|
|
```
|
|
|