From aebec2220def5a74c1139f1829f6db29ba7779e2 Mon Sep 17 00:00:00 2001
From: Maxime Fournioux <55544262+mfournioux@users.noreply.github.com>
Date: Wed, 27 Nov 2024 11:23:27 +0100
Subject: [PATCH] update logs following command for all containers for the pod

---
 .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 4d743841e51ba..183a318601265 100644
--- a/.github/workflows/lint-test.yaml
+++ b/.github/workflows/lint-test.yaml
@@ -60,7 +60,7 @@ jobs:
           kubectl create ns ns-vllm
 
       - name: Run chart-testing (install)
-        run: helm install --wait --wait-for-jobs --timeout 15m0s --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="adsai/vllm-cpu-env" & kubectl -n ns-vllm logs -f $(kubectl -n ns-vllm get pods | awk '/test/ {print $1;exit}') --all-containers=true -f
+        run: helm install --wait --wait-for-jobs --timeout 15m0s --debug --create-namespace --namespace=ns-vllm test-vllm examples/chart-helm -f examples/chart-helm/values.yaml --set secrets.s3endpoint=http://minio:9000 --set secrets.s3bucketname=testbucket --set secrets.s3accesskeyid=$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="adsai/vllm-cpu-env" & kubectl -n ns-vllm logs -f $(kubectl -n ns-vllm get pods | awk "/test/ {print $1;exit}") --all-containers=true
     
       - name: curl test
         run: |