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Large model integration tests with compiler optimizations #406

Large model integration tests with compiler optimizations

Large model integration tests with compiler optimizations #406

name: Large model integration tests with compiler optimizations
on:
workflow_dispatch:
inputs:
djl-version:
description: 'The released version of DJL'
required: false
default: ''
run_test:
description: 'Run only the tests you need [aiccl]'
required: false
default: ''
schedule:
- cron: '0 15 * * *'
jobs:
create-runners-p4d:
runs-on: [self-hosted, scheduler]
steps:
- name: Create new P4d.24xl instance
id: create_gpu_p4d
run: |
cd /home/ubuntu/djl_benchmark_script/scripts
token=$( curl -X POST -H "Authorization: token ${{ secrets.ACTION_RUNNER_PERSONAL_TOKEN }}" \
https://api.github.com/repos/deepjavalibrary/djl-serving/actions/runners/registration-token \
--fail \
| jq '.token' | tr -d '"' )
./start_instance.sh action_lmic_p4d $token djl-serving
outputs:
p4d_instance_id: ${{ steps.create_gpu_p4d.outputs.action_lmic_p4d_instance_id }}
lmi-dist-aiccl-test:
if: contains(fromJson('["", "aiccl"]'), github.event.inputs.run_test)
runs-on: [ self-hosted, p4d ]
timeout-minutes: 120
needs: create-runners-p4d
steps:
- uses: actions/checkout@v3
- name: Clean env
run: |
yes | docker system prune -a --volumes
sudo rm -rf /home/ubuntu/actions-runner/_work/_tool/Java_Corretto_jdk/
echo "wait dpkg lock..."
while sudo fuser /var/{lib/{dpkg,apt/lists},cache/apt/archives}/lock >/dev/null 2>&1; do sleep 5; done
- name: Set up Python3
uses: actions/setup-python@v4
with:
python-version: '3.10.x'
- name: Install pip dependencies
run: pip3 install requests pillow numpy
- name: Build container name
run: ./serving/docker/scripts/docker_name_builder.sh deepspeed ${{ github.event.inputs.djl-version }}
- name: Download models and dockers
working-directory: tests/integration
run: |
docker pull deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG
- name: Test Llama-2-70B with aiccl backend
working-directory: tests/integration
run: |
rm -rf models
python3 llm/prepare.py lmi_dist_aiccl llama-2-70b-aiccl
./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
serve
python3 llm/client.py lmi_dist_aiccl llama-2-70b-aiccl
if [ "$(docker logs $(docker ps -aq) 2>&1 | grep -c 'Starting torch distributed with aiccl backend')" -lt 8 ]; then
echo "aiccl backend not used"
return 1
else
echo "Using aiccl backend"
fi
docker rm -f $(docker ps -aq)
- name: Test codellama/CodeLlama-34b-hf with aiccl backend
working-directory: tests/integration
run: |
rm -rf models
python3 llm/prepare.py lmi_dist_aiccl codellama-34b-aiccl
./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
serve
python3 llm/client.py lmi_dist_aiccl codellama-34b-aiccl
if [ "$(docker logs $(docker ps -aq) 2>&1 | grep -c 'Starting torch distributed with aiccl backend')" -lt 8 ]; then
echo "aiccl backend not used"
return 1
else
echo "Using aiccl backend"
fi
docker rm -f $(docker ps -aq)
- name: Test tiiuae/falcon-40b with aiccl backend
working-directory: tests/integration
run: |
rm -rf models
python3 llm/prepare.py lmi_dist_aiccl falcon-40b-aiccl
./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models deepspeed \
serve
python3 llm/client.py lmi_dist_aiccl falcon-40b-aiccl
if [ "$(docker logs $(docker ps -aq) 2>&1 | grep -c 'Starting torch distributed with aiccl backend')" -lt 8 ]; then
echo "aiccl backend not used"
return 1
else
echo "Using aiccl backend"
fi
docker rm -f $(docker ps -aq)
- name: Remove models dir
working-directory: tests/integration
run: |
sudo rm -rf models
- name: On fail step
if: ${{ failure() }}
working-directory: tests/integration
run: |
sudo rm -rf models
docker rm -f $(docker ps -aq) || true
cat logs/serving.log
- name: Upload test logs
uses: actions/upload-artifact@v3
with:
name: lmi-dist-aiccl-logs
path: tests/integration/logs/
stop-runners-p4d:
if: always()
runs-on: [ self-hosted, scheduler ]
needs: [ create-runners-p4d, lmi-dist-aiccl-test ]
steps:
- name: Stop all instances
run: |
cd /home/ubuntu/djl_benchmark_script/scripts
instance_id=${{ needs.create-runners-p4d.outputs.p4d_instance_id }}
./stop_instance.sh $instance_id