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* This will be used as a replacement for using helm.
* The ksonnet template is used to run a K8s job which runs the E2E test;
ksonnet makes it easy to parameterize the test (e.g. namespace, image).
* This will be used to add an E2E test to our ksonnet repository to
actually verify we can successfully submit jobs.
kubeflow/kubeflow#207
* We want to easily run TFJobs corresponding to different TFJob specs (See #373).
* We currently do this using Jinja2 templates and then having a python script test_runner.py to run those templates.
* This PR migrates to using ksonnet to define those templates.
* This PR is prework to running some TFJob E2E tests as part of ksonnet tests (kubeflow/kubeflow#207)
Cleanup
* Include smoke_tf.py inside the TFJob operator docker image; no reason we should have to build a separate image just to get that.
We need an E2E test that verifies we can actually submit a TFJob after deploying Kubeflow.
The lack of such tests is why things are breaking; e.g. because the ksonnet config is out of sync with the actual image.
I think the issue here is how to organize the tests so we don't end up duplicating code between tensorflow/k8s and kubeflow/kubeflow.
Here's my current thinking
We can do this as follows
* Modify checkout.sh so that for kubeflow/kubeflow we check out tensorflow/k8s
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