Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Revert GPU tests to unblock release #778

Merged
merged 1 commit into from
Feb 5, 2019
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 0 additions & 6 deletions test/presubmit-tests-with-pipeline-deployment.sh
Original file line number Diff line number Diff line change
Expand Up @@ -126,12 +126,6 @@ ${KUBEFLOW_SRC}/scripts/kfctl.sh init ${KFAPP} --platform ${PLATFORM} --project

cd ${KFAPP}
${KUBEFLOW_SRC}/scripts/kfctl.sh generate platform

## Add one gpu node for covering gpu sample
sed -i -e 's|gpu-pool-initialNodeCount:\s*0|gpu-pool-initialNodeCount: 1|g' ./gcp_config/cluster-kubeflow.yaml
sed -i -e 's|gpu-pool-max-nodes:\s*0|gpu-pool-max-nodes: 1|g' ./gcp_config/cluster-kubeflow.yaml
sed -i -e 's|gpu-pool-min-nodes:\s*0|gpu-pool-min-nodes: 1|g' ./gcp_config/cluster-kubeflow.yaml

${KUBEFLOW_SRC}/scripts/kfctl.sh apply platform
${KUBEFLOW_SRC}/scripts/kfctl.sh generate k8s

Expand Down
1 change: 0 additions & 1 deletion test/sample-test/run_test.sh
Original file line number Diff line number Diff line change
Expand Up @@ -152,7 +152,6 @@ if [ "$TEST_NAME" == 'tf-training' ]; then
sed -i -e "s|gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:\([a-zA-Z0-9_.-]\)\+|${DATAFLOW_PREDICT_IMAGE}|g" kubeflow-training-classification.py
sed -i -e "s|gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:\([a-zA-Z0-9_.-]\)\+|${LOCAL_CONFUSIONMATRIX_IMAGE}|g" kubeflow-training-classification.py
fi
sed -i -e "s|use_gpu\s*=\s*False|use_gpu = True|g" kubeflow-training-classification.py

dsl-compile --py kubeflow-training-classification.py --output kubeflow-training-classification.tar.gz

Expand Down