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Update scripts for official TGI Gaudi docker #11

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Merged
merged 3 commits into from
Mar 23, 2024
Merged

Update scripts for official TGI Gaudi docker #11

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33aa96a
use official docker image
lvliang-intel Mar 23, 2024
6724ad6
update scripts
lvliang-intel Mar 23, 2024
1dc83a5
Merge branch 'main' into lvl/tgi_gaudi_docker
lvliang-intel Mar 23, 2024
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2 changes: 1 addition & 1 deletion ChatQnA/serving/tgi_gaudi/build_docker.sh
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Expand Up @@ -2,4 +2,4 @@

git clone https://github.com/huggingface/tgi-gaudi.git
cd ./tgi-gaudi/
docker build -t tgi_gaudi . --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy
docker build -t ghcr.io/huggingface/tgi-gaudi:1.2.1 . --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy
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 ghcr.io/huggingface/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:1.2.1 --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 ghcr.io/huggingface/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:1.2.1 --model-id $model_name --sharded true --num-shard $num_cards"
fi

# Execute the Docker run command
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12 changes: 10 additions & 2 deletions CodeGen/README.md
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Expand Up @@ -4,9 +4,17 @@ Code generation is a noteworthy application of Large Language Model (LLM) techno
# Environment Setup
To use [🤗 text-generation-inference](https://github.com/huggingface/text-generation-inference) on Intel Gaudi2, please follow these steps:

## Build TGI Gaudi Docker Image
## Prepare Gaudi Image
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 ./tgi_gaudi/build_docker.sh
bash ./serving/tgi_gaudi/build_docker.sh
```

## Launch TGI Gaudi Service
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2 changes: 1 addition & 1 deletion CodeGen/tgi_gaudi/build_docker.sh
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Expand Up @@ -16,4 +16,4 @@

git clone https://github.com/huggingface/tgi-gaudi.git
cd ./tgi-gaudi/
docker build -t tgi_gaudi_codegen . --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy
docker build -t ghcr.io/huggingface/tgi-gaudi:1.2.1 . --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy
4 changes: 2 additions & 2 deletions CodeGen/tgi_gaudi/launch_tgi_service.sh
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Expand Up @@ -41,9 +41,9 @@ 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_codegen --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:1.2.1 --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_codegen --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:1.2.1 --model-id $model_name --sharded true --num-shard $num_cards"
fi

# Execute the Docker run command
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2 changes: 1 addition & 1 deletion DocSum/serving/tgi_gaudi/build_docker.sh
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Expand Up @@ -2,4 +2,4 @@

git clone https://github.com/huggingface/tgi-gaudi.git
cd ./tgi-gaudi/
docker build -t tgi_gaudi_doc_summary . --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy
docker build -t ghcr.io/huggingface/tgi-gaudi:1.2.1 . --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy
4 changes: 2 additions & 2 deletions DocSum/serving/tgi_gaudi/launch_tgi_service.sh
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Original file line number Diff line number Diff line change
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_doc_summary --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:1.2.1 --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_doc_summary --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:1.2.1 --model-id $model_name --sharded true --num-shard $num_cards"
fi

# Execute the Docker run command
Expand Down