fix import issue in the mnist e2e testing (#531)

This commit is contained in:
Jin Chi He 2019-04-06 09:36:27 +08:00 committed by Kubernetes Prow Robot
parent 07b485ec8c
commit fb0c5eb115
3 changed files with 7 additions and 7 deletions

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@ -23,7 +23,7 @@ import logging
import os
from kubernetes import client as k8s_client
from py import test_runner #pylint: disable=no-name-in-module
from kubeflow.tf_operator import test_runner #pylint: disable=no-name-in-module
from kubeflow.testing import ks_util
from kubeflow.testing import test_util

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@ -28,8 +28,8 @@ import logging
import os
from kubernetes import client as k8s_client
from py import tf_job_client #pylint: disable=no-name-in-module
from py import test_runner #pylint: disable=no-name-in-module
from kubeflow.tf_operator import tf_job_client #pylint: disable=no-name-in-module
from kubeflow.tf_operator import test_runner #pylint: disable=no-name-in-module
from kubeflow.testing import ks_util
from kubeflow.testing import test_util

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@ -18,13 +18,13 @@ local defaultParams = {
stepImage: "gcr.io/kubeflow-ci/test-worker/test-worker:v20190116-b7abb8d-e3b0c4",
// Which Kubeflow cluster to use for running TFJobs on.
kfProject: "kubeflow-ci",
kfZone: "us-east1-d",
kfCluster: "kf-v0-4-n00",
kfProject: "kubeflow-ci-deployment",
kfZone: "us-east1-b",
kfCluster: "kf-vmaster-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)
modelBucket: "kubeflow-ci_temp",
modelBucket: "kubeflow-ci-deployment_ci-temp",
// Whether to delete the namespace at the end.
// Leaving the namespace around can be useful for debugging.