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Use official TGI Gaudi docker image #10

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Merged
hshen14 merged 1 commit into from
Mar 23, 2024
Merged

Use official TGI Gaudi docker image #10

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11 changes: 10 additions & 1 deletion ChatQnA/README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,16 @@ This ChatQnA use case performs RAG using LangChain, Redis vectordb and Text Gene
# Environment Setup
To use [🤗 text-generation-inference](https://github.com/huggingface/text-generation-inference) on Habana Gaudi/Gaudi2, please follow these steps:

## Build TGI Gaudi Docker Image
## Prepare Docker

Getting started is straightforward with the official Docker container. Simply pull the image using:

```bash
docker pull ghcr.io/huggingface/tgi-gaudi:1.2.1
```

Alternatively, you can build the Docker image yourself with:

```bash
bash ./serving/tgi_gaudi/build_docker.sh
```
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4 changes: 2 additions & 2 deletions ChatQnA/serving/tgi_gaudi/launch_tgi_service.sh
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Expand Up @@ -27,9 +27,9 @@ volume=$PWD/data

# Build the Docker run command based on the number of cards
if [ "$num_cards" -eq 1 ]; then
docker_cmd="docker run -p $port_number:80 -v $volume:/data --runtime=habana -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice --ipc=host -e HTTPS_PROXY=$https_proxy -e HTTP_PROXY=$https_proxy tgi_gaudi --model-id $model_name"
docker_cmd="docker run -p $port_number:80 -v $volume:/data --runtime=habana -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice --ipc=host -e HTTPS_PROXY=$https_proxy -e HTTP_PROXY=$https_proxy ghcr.io/huggingface/tgi-gaudi --model-id $model_name"
else
docker_cmd="docker run -p $port_number:80 -v $volume:/data --runtime=habana -e PT_HPU_ENABLE_LAZY_COLLECTIVES=true -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice --ipc=host -e HTTPS_PROXY=$https_proxy -e HTTP_PROXY=$https_proxy tgi_gaudi --model-id $model_name --sharded true --num-shard $num_cards"
docker_cmd="docker run -p $port_number:80 -v $volume:/data --runtime=habana -e PT_HPU_ENABLE_LAZY_COLLECTIVES=true -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice --ipc=host -e HTTPS_PROXY=$https_proxy -e HTTP_PROXY=$https_proxy ghcr.io/huggingface/tgi-gaudi --model-id $model_name --sharded true --num-shard $num_cards"
fi

# Execute the Docker run command
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