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fix: Update delete.sh to support self-sign-certs #117

fix: Update delete.sh to support self-sign-certs

fix: Update delete.sh to support self-sign-certs #117

Workflow file for this run

name: FVT
on:
pull_request:
branches:
- main
- 'release-[0-9].[0-9]+'
paths:
- '**'
- '!.github/**'
- '!.tekton/**'
- '!**.md'
- '!docs/**'
- '.github/workflows/fvt.yml'
jobs:
fvt:
runs-on: ubuntu-latest
steps:
- name: Free up disk space
run: |
# https://github.com/actions/runner-images/issues/2840#issuecomment-790492173
# du -sh /* 2> /dev/null | sort -rh 2> /dev/null | head
# du -h -d2 /usr 2> /dev/null | sort -rh 2> /dev/null | head
echo "Check free disk space before cleanup."
df -h
echo "Removing non-essential tools and libraries."
sudo rm -rf "$AGENT_TOOLSDIRECTORY"
sudo rm -rf /opt/ghc
sudo rm -rf /usr/share/dotnet
sudo rm -rf /usr/local/share/boost
# delete libraries for Android (12G), PowerShell (1.3G), Swift (1.7G)
sudo rm -rf /usr/local/lib/android
sudo rm -rf /usr/local/share/powershell
sudo rm -rf /usr/share/swift
echo "Check free disk space after cleanup."
df -h
- name: Checkout
uses: actions/checkout@v3
- name: Setup go
uses: actions/setup-go@v4
with:
go-version: '1.19'
- name: Start Minikube
uses: medyagh/[email protected]
id: minikube
with:
minikube-version: 1.31.0
container-runtime: docker
kubernetes-version: v1.26.1
cpus: max
memory: max
- name: Check pods
run: |
sleep 30
kubectl get pods -n kube-system
- name: Set controller image tag
run: echo "IMAGE_TAG=$(date +'%Y%m%dT%H%M%S%Z')" >> $GITHUB_ENV
- name: Update configs
# Update the image tag and reduce some resource request amounts to allow FVTs to run
# on reduced resource environments. The RollingUpdate strategy for Runtime deployments
# is also adjusted for these environments.
# Disable the torchserve ServingRuntime for now (insufficient resources to run them all).
run: |
sed -i 's/newTag:.*$/newTag: '"${{ env.IMAGE_TAG }}"'/' config/manager/kustomization.yaml
sed -i '0,/cpu:.*$/s/cpu:.*$/cpu: 100m/' \
config/default/config-defaults.yaml \
config/runtimes/mlserver-1.x.yaml \
config/runtimes/triton-2.x.yaml \
config/runtimes/ovms-1.x.yaml
sed -i 's/memory:.*$/memory: 512Mi/g' \
config/runtimes/mlserver-1.x.yaml \
config/runtimes/triton-2.x.yaml \
config/runtimes/ovms-1.x.yaml
sed -i 's/maxSurge:.*$/maxSurge: 0/' config/internal/base/deployment.yaml.tmpl
sed -i 's/maxUnavailable:.*$/maxUnavailable: 100%/' config/internal/base/deployment.yaml.tmpl
echo -e '\n disabled: true' >> config/runtimes/torchserve-0.x.yaml
- name: Setup Docker Buildx
uses: docker/setup-buildx-action@v2
- name: Build Controller image
env:
DOCKER_BUILDKIT: 1
run: |
eval $(minikube -p minikube docker-env)
make build.develop
./scripts/build_docker.sh --target runtime --tag ${{ env.IMAGE_TAG }}
- name: Install ModelMesh Serving
run: |
kubectl create ns modelmesh-serving
./scripts/install.sh --namespace modelmesh-serving --fvt --dev-mode-logging
- name: Prune docker images
run: |
echo "Pruning docker images on GH action runner node"
docker image prune -a -f
docker system df
df -h
- name: Pre-pull runtime images
run: |
eval $(minikube -p minikube docker-env)
docker pull nvcr.io/nvidia/tritonserver:23.04-py3
docker pull seldonio/mlserver:1.3.2
docker pull openvino/model_server:2022.2
# docker pull pytorch/torchserve:0.7.1-cpu
docker pull kserve/modelmesh:latest
docker pull kserve/modelmesh-minio-dev-examples:latest
docker pull kserve/modelmesh-minio-examples:latest
docker pull kserve/modelmesh-runtime-adapter:latest
docker pull kserve/rest-proxy:latest
- name: Check installation
run: |
eval $(minikube -p minikube docker-env)
docker images
kubectl get pods
kubectl get clusterservingruntimes
- name: Run FVTs
run: |
go install github.com/onsi/ginkgo/v2/ginkgo
export PATH=/root/go/bin/:$PATH
export NAMESPACE=modelmesh-serving
export NAMESPACESCOPEMODE=false
make fvt