debug mnist ci/cd testing problem.

mnist/testing/tfjob_test.py

@@ -64,6 +64,14 @@ def test_train(self):
     util.run(['wget', '-O', '/usr/local/bin/kustomize', kusUrl], cwd=self.app_dir)
     util.run(['chmod', 'a+x', '/usr/local/bin/kustomize'], cwd=self.app_dir)
 
+    # TODO @jinchihe: The kubectl has been upgraded to 1.14.0 in kubeflow/testing/pull/500.
+    # But the test-worker image is not refreshed, see issue kubeflow/testing/issues/501.
+    # The below code can be removed once test-worker released.
+    kusUrl = 'https://storage.googleapis.com/kubernetes-release/' \
+         'release/v1.14.0/bin/linux/amd64/kubectl'
+    util.run(['wget', '-O', '/usr/local/bin/kubectl', kusUrl], cwd=self.app_dir)
+    util.run(['chmod', 'a+x', '/usr/local/bin/kubectl'], cwd=self.app_dir)
+
     # Setup parameters for kustomize
     configmap = 'mnist-map-training'
     for pair in self.params.split(","):

test/workflows/components/mnist.jsonnet

@@ -20,7 +20,7 @@ local defaultParams = {
   // Which Kubeflow cluster to use for running TFJobs on.
   kfProject: "kubeflow-ci-deployment",
   kfZone: "us-east1-b",
-  kfCluster: "kf-vmaster-n01",
+  kfCluster: "kf-v0-6-n00",
 
   // The bucket where the model should be written
   // This needs to be writable by the GCP service account in the Kubeflow cluster (not the test cluster)

test/workflows/components/xgboost_synthetic.jsonnet

@@ -20,7 +20,7 @@ local defaultParams = {
   // Which Kubeflow cluster to use for running PytorchJobs on.
   kfProject: "kubeflow-ci-deployment",
   kfZone: "us-east1-b",
-  kfCluster: "kf-vmaster-n00",
+  kfCluster: "kf-v0-6-n00",
 
   // The bucket where the model should be written
   // This needs to be writable by the GCP service account in the Kubeflow cluster (not the test cluster)