From a5874723f623cf8e6f09da9d724a4ed79643c27c Mon Sep 17 00:00:00 2001 From: Maxime Fournioux <55544262+mfournioux@users.noreply.github.com> Date: Fri, 29 Nov 2024 11:48:18 +0100 Subject: [PATCH] add debug pod status command during helm install Signed-off-by: Maxime Fournioux <55544262+mfournioux@users.noreply.github.com> --- .github/workflows/lint-test.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/lint-test.yaml b/.github/workflows/lint-test.yaml index 1fdd657e2b1c9..d6eed38d93843 100644 --- a/.github/workflows/lint-test.yaml +++ b/.github/workflows/lint-test.yaml @@ -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 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 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" & kubectl -n ns-vllm logs $(kubectl -n ns-vllm get pods -o name | grep deployment) -f + helm install --wait --wait-for-jobs --timeout 5m0s --debug --create-namespace --namespace=ns-vllm test-vllm examples/chart-helm -f examples/chart-helm/values.yaml --set secrets.s3endpoint=http://minio:9000 --set secrets.s3bucketname=testbucket --set secrets.s3accesskeyid=$AWS_ACCESS_KEY_ID --set secrets.s3accesskey=$AWS_SECRET_ACCESS_KEY --set 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 20 & kubectl -n ns-vllm logs $(kubectl -n ns-vllm get pods -o name | grep deployment) -f - name: curl test run: |