add debug init container command

Signed-off-by: Maxime Fournioux <[email protected]>
vllm-project · Nov 29, 2024 · 0f48176 · 0f48176
1 parent cadc7be
commit 0f48176
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/.github/workflows/lint-test.yaml b/.github/workflows/lint-test.yaml
@@ -50,7 +50,7 @@ jobs:
         uses: helm/[email protected]
 
       - name: Build the Docker image vllm cpu
-        run: docker buildx build --file Dockerfile.cpu --tag vllm-cpu-env .
+        run: docker buildx build --file Dockerfile.cpu --tag vllm-cpu-env --shm-size=4g .
 
       - name: Configuration of docker images, network and namespace for the kind cluster
         run: |
@@ -64,7 +64,7 @@ jobs:
         run: |
           export AWS_ACCESS_KEY_ID=minioadmin
           export AWS_SECRET_ACCESS_KEY=minioadmin
-          helm install --wait --wait-for-jobs --timeout 10m0s --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 image.env[0].name=VLLM_CPU_KVCACHE_SPACE --set resources.requests.cpu=1 --set resources.requests.memory=4Gi --set resources.limits.cpu=2 --set resources.limits.memory=5Gi --set-string image.env[0].value="1" --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"
+          helm install --wait --wait-for-jobs --timeout 10m0s --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 image.env[0].name=VLLM_CPU_KVCACHE_SPACE --set resources.requests.cpu=1 --set resources.requests.memory=4Gi --set resources.limits.cpu=2 --set resources.limits.memory=5Gi --set-string image.env[0].value="1" --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"  & (sleep 5; kubectl -n ns-vllm logs -f $(kubectl -n ns-vllm get pods -o name | awk '/init/ {print $1;exit}'))
     
       - name: curl test
         run: |