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KEP-2170: Add E2E tests for Kubeflow Training V2 #2213
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This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions. |
/remove-lifecycle stale |
@andreyvelich: Please ensure the request meets the requirements listed here. If this request no longer meets these requirements, the label can be removed In response to this:
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/assign I can help with this. Please let me know if you have different plans @kubeflow/wg-training-leads . |
RE: #2328 (comment)
This indicates the E2E testings with Kind cluster which does not use Python SDK. I think that v1 API E2Es have multiple significant problems, which is difficult to understand the failure errors place SDK vs controllers (controller, validations, and mutatings...). So, we should implement 2 types of E2Es, which indicates testings without SDK and with SDK. |
We will still use Kind with Python SDK. We just use SDK to trigger the TrainJobs with appropriate configuration that we want to test, so we don't require to store YAMLs of TrainJobs in our repository.
Can you explain more details, where using the Python SDK might be not sufficient to verify that controller + webhooks are functionally correct ? |
Related: #2170
We should add the e2e tests the Kubeflow Training V2.
I was thinking about these tests that we can add:
/test/e2e/initializer_v2
- Tests for our dataset and model initializer components./test/e2e/runtimes
- Tests for the existing runtimes without any modification of TrainJob. E.g. the tests might look as follows:/test/e2e/notebooks
- Tests our V2 examples with Papermil. I think the majority of our examples can be represented with Jupyter Notebooks, so Data Scientists can quickly run them./area testing
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