[VLM] Support caching in merged multi-modal processor #1030
Workflow file for this run
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| name: Lint and Deploy Charts | |
| on: pull_request | |
| jobs: | |
| lint-and-deploy: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: Checkout | |
| uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 | |
| with: | |
| fetch-depth: 0 | |
| - name: Set up Helm | |
| uses: azure/setup-helm@fe7b79cd5ee1e45176fcad797de68ecaf3ca4814 # v4.2.0 | |
| with: | |
| version: v3.14.4 | |
| #Python is required because ct lint runs Yamale and yamllint which require Python. | |
| - uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0 | |
| with: | |
| python-version: '3.13' | |
| - name: Set up chart-testing | |
| uses: helm/chart-testing-action@e6669bcd63d7cb57cb4380c33043eebe5d111992 # v2.6.1 | |
| with: | |
| version: v3.10.1 | |
| - name: Run chart-testing (lint) | |
| run: ct lint --target-branch ${{ github.event.repository.default_branch }} --chart-dirs examples/chart-helm --charts examples/chart-helm | |
| - name: Setup minio | |
| run: | | |
| docker network create vllm-net | |
| docker run -d -p 9000:9000 --name minio --net vllm-net \ | |
| -e "MINIO_ACCESS_KEY=minioadmin" \ | |
| -e "MINIO_SECRET_KEY=minioadmin" \ | |
| -v /tmp/data:/data \ | |
| -v /tmp/config:/root/.minio \ | |
| minio/minio server /data | |
| export AWS_ACCESS_KEY_ID=minioadmin | |
| export AWS_SECRET_ACCESS_KEY=minioadmin | |
| export AWS_EC2_METADATA_DISABLED=true | |
| mkdir opt-125m | |
| cd opt-125m && curl -O -Ls "https://huggingface.co/facebook/opt-125m/resolve/main/{pytorch_model.bin,config.json,generation_config.json,merges.txt,special_tokens_map.json,tokenizer_config.json,vocab.json}" && cd .. | |
| aws --endpoint-url http://127.0.0.1:9000/ s3 mb s3://testbucket | |
| aws --endpoint-url http://127.0.0.1:9000/ s3 cp opt-125m/ s3://testbucket/opt-125m --recursive | |
| - name: Create kind cluster | |
| uses: helm/kind-action@0025e74a8c7512023d06dc019c617aa3cf561fde # v1.10.0 | |
| - name: Build the Docker image vllm cpu | |
| run: docker buildx build -f Dockerfile.cpu -t vllm-cpu-env . | |
| - name: Configuration of docker images, network and namespace for the kind cluster | |
| run: | | |
| docker pull amazon/aws-cli:2.6.4 | |
| kind load docker-image amazon/aws-cli:2.6.4 --name chart-testing | |
| kind load docker-image vllm-cpu-env:latest --name chart-testing | |
| docker network connect vllm-net "$(docker ps -aqf "name=chart-testing-control-plane")" | |
| kubectl create ns ns-vllm | |
| - name: Run chart-testing (install) | |
| run: | | |
| export AWS_ACCESS_KEY_ID=minioadmin | |
| export AWS_SECRET_ACCESS_KEY=minioadmin | |
| helm install --wait --wait-for-jobs --timeout 5m0s --debug --create-namespace --namespace=ns-vllm test-vllm examples/chart-helm -f examples/chart-helm/values.yaml --set secrets.s3endpoint=http://minio:9000 --set secrets.s3bucketname=testbucket --set secrets.s3accesskeyid=$AWS_ACCESS_KEY_ID --set secrets.s3accesskey=$AWS_SECRET_ACCESS_KEY --set resources.requests.cpu=1 --set resources.requests.memory=4Gi --set resources.limits.cpu=2 --set resources.limits.memory=5Gi --set image.env[0].name=VLLM_CPU_KVCACHE_SPACE --set image.env[1].name=VLLM_LOGGING_LEVEL --set-string image.env[0].value="1" --set-string image.env[1].value="DEBUG" --set-string extraInit.s3modelpath="opt-125m/" --set-string 'resources.limits.nvidia\.com/gpu=0' --set-string 'resources.requests.nvidia\.com/gpu=0' --set-string image.repository="vllm-cpu-env" | |
| - name: curl test | |
| run: | | |
| kubectl -n ns-vllm port-forward service/test-vllm-service 8001:80 & | |
| sleep 10 | |
| CODE="$(curl -v -f --location http://localhost:8001/v1/completions \ | |
| --header "Content-Type: application/json" \ | |
| --data '{ | |
| "model": "opt-125m", | |
| "prompt": "San Francisco is a", | |
| "max_tokens": 7, | |
| "temperature": 0 | |
| }'):$CODE" | |
| echo "$CODE" |