lightning/.github/workflows/ci_test-tpu.yml

138 lines
5.1 KiB
YAML

name: TPU tests
on:
push:
branches: [master]
# TODO: temporal disable TPU testing until we find way how to pass credentials to forked PRs
# pull_request:
# branches:
# - master
env:
PROJECT_ID: ${{ secrets.GKE_PROJECT }}
GKE_CLUSTER: lightning-cluster
GKE_ZONE: us-central1-a
IMAGE: gcr.io/${{ secrets.GKE_PROJECT }}/tpu-testing-image
MAX_CHECKS: 360
CHECK_SPEEP: 5
jobs:
setup-build-publish-deploy:
name: tpu-testing-job
runs-on: ubuntu-20.04
strategy:
fail-fast: false
matrix:
python-version: [3.6, 3.7]
# Timeout: https://stackoverflow.com/a/59076067/4521646
timeout-minutes: 50
steps:
- name: Set IMAGETAG
run: echo "IMAGETAG=$(date +%s)_${{ matrix.python-version }}" >> $GITHUB_ENV
- name: Install Go
uses: actions/setup-go@v2
with:
go-version: 1.14.x
- name: Set up Python 3.7
uses: actions/setup-python@v2
with:
python-version: 3.7
- name: Checkout Pytorch Lightning
uses: actions/checkout@v2
with:
repository: PyTorchLightning/pytorch-lightning
ref: ${{ github.event.pull_request.head.sha }}
- name: Checkout ml-testing-accelerators
uses: actions/checkout@v2
with:
repository: GoogleCloudPlatform/ml-testing-accelerators
path: ml-testing-accelerators
ref: 5e88ac24f631c27045e62f0e8d5dfcf34e425e25
- name: Setup gcloud CLI
uses: GoogleCloudPlatform/github-actions/setup-gcloud@master
with:
version: '290.0.1'
service_account_key: ${{ secrets.GKE_SA_KEY_BASE64 }}
project_id: ${{ secrets.GKE_PROJECT }}
export_default_credentials: true
# Configure Docker to use the gcloud command-line tool as a credential helper for authentication.
- name: Configure Docker
run: |-
gcloud --quiet auth configure-docker
shell: bash
- name: Build and Push Docker Image
run: |
#cd dockers/tpu-tests
docker build --tag "$IMAGE:$IMAGETAG" -f ./dockers/tpu-tests/Dockerfile --build-arg "PYTHON_VERSION=${{ matrix.python-version }}" .
docker push "$IMAGE:$IMAGETAG"
shell: bash
- name: Install jsonnet
run: |-
go get github.com/google/go-jsonnet/cmd/jsonnet
shell: bash
# Get the GKE credentials so we can deploy to the cluster
# Use either zone or region depending on cluster setup.
- run: |-
gcloud container clusters get-credentials "$GKE_CLUSTER" --zone "$GKE_ZONE"
shell: bash
- name: Deploy the job on the kubernetes cluster
run: |-
job_name=$(jsonnet -J ml-testing-accelerators/ dockers/tpu-tests/tpu_test_cases.jsonnet --ext-str image=$IMAGE --ext-str image-tag=$IMAGETAG | kubectl create -f -) && \
job_name=${job_name#job.batch/} && \
job_name=${job_name% created} && \
echo "Waiting on kubernetes job: $job_name in cluster: $GKE_CLUSTER" && \
i=0 && \
# 60 checks spaced 30s apart = 900s total.
status_code=2 && \
# Check on the job periodically. Set the status code depending on what
# happened to the job in Kubernetes. If we try MAX_CHECKS times and
# still the job hasn't finished, give up and return the starting
# non-zero status code.
printf "Waiting for job to finish: " && \
while [ $i -lt $MAX_CHECKS ]; do ((i++)); if kubectl get jobs $job_name -o jsonpath='Failed:{.status.failed}' | grep "Failed:1"; then status_code=1 && break; elif kubectl get jobs $job_name -o jsonpath='Succeeded:{.status.succeeded}' | grep "Succeeded:1" ; then status_code=0 && break; else printf "." ; fi; sleep $CHECK_SPEEP; done && \
echo "Done waiting. Job status code: $status_code" && \
pod_name=$(kubectl get po -l controller-uid=`kubectl get job $job_name -o "jsonpath={.metadata.labels.controller-uid}"` | awk 'match($0,!/NAME/) {print $1}') && \
echo "GKE pod name: $pod_name" && \
kubectl logs -f $pod_name --container=train > /tmp/full_output.txt
if grep -q '<?xml version="1.0" ?>' /tmp/full_output.txt ; then csplit /tmp/full_output.txt '/<?xml version="1.0" ?>/'; else mv /tmp/full_output.txt xx00; fi && \
# First portion is the test logs. Print these to Github Action stdout.
cat xx00 && \
echo "Done with log retrieval attempt." && \
gcloud container images delete "$IMAGE:$IMAGETAG" --force-delete-tags && \
exit $status_code
shell: bash
- name: Statistics
if: success()
run: |
mv ./xx01 coverage
# TODO: add human readable report
cat coverage
# sudo pip install pycobertura
# pycobertura show coverage.xml
- name: Upload coverage results
uses: actions/upload-artifact@master
with:
name: coverage-TPU
path: coverage
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v1
# see: https://github.com/actions/toolkit/issues/399
continue-on-error: true
if: always()
with:
token: ${{ secrets.CODECOV_TOKEN }}
file: coverage
flags: tpu,pytest
name: TPU-coverage
fail_ci_if_error: true