Add Conformance Program Doc for AutoML and Training WG #2048
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andreyvelich
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/hold for the review |
docs/proposals/conformance-test.md
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| That will help to avoid environment variance and improve fault tolerance. Driver is required to trigger the deployment and download the results. | ||
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| - We are going to use | ||
| [the unify Makefile](https://github.com/kubeflow/kubeflow/blob/2fa0d3665234125aeb8cebe8fe44f0a5a50791c5/conformance/1.5/Makefile) |
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/lgtm |
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docs/proposals/conformance-test.md
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| ## Kubeflow Conformance | ||
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| Kubeflow conformance consists the 3 category of tests: |
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Initially the Kubeflow conformance will include CRD based tests. In the future, API and UI based tests may be added.
docs/proposals/conformance-test.md
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| In the following versions, we should design conformance program for the | ||
| Katib API-based tests. | ||
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| - CRD-based tests |
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this should be the 1st bullet in this list before API and UI tests.
| - The tests should cover basic functionality of Katib and the Training Operator. | ||
| It will not cover all features. | ||
| - The tests are expected to evolve in the future versions. | ||
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- The tests should have a well documented and short list of set-up requirements.
- The tests should install and complete in a relatively short period of time (< 30 minutes) with suggested minimum infrastructure requirements i.e. 3 nodes, 24 vcpu, 64 GB RAM, 500 GB Disk.
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I am not sure that we can achieve < 30 minutes requirement.
If we are going to run more than 1 Katib Experiment in the future, we might need more time. WDYT @johnugeorge ?
What about Pipelines team @james-jwu ?
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One more idea - The Katib and Training Operator configuration and tests should make attempts to be integrated with the Pipeline configuration and test configuration. (My point is that we should try to minimize the conformance testing configuration and resource requirements if/when possible).
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Pipeline requirement is relatively light. See the below in setup.yaml:
cpu: "2"
memory: 2Gi
requests.storage: "5Gi"
It's been a while since I last ran the Pipeline tests, but they are quite fast (<15 min for sure).
How long does the current Katib and Training tests run?
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@james-jwu Is resources a mandatory requirement ? We have been running Katib deployment + tests on Github CI which has 2-core CPU and 7G memory. Since allocated resources are bit tight, we have seen that certain runs have exceeded 30 min limit. However, if we have slightly more CPU resources, we can get it in 30 min easily.
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Also, the katib's hyperparameter searching doesn't care much how the each training step goes on actually, we could set very-small epochs or very-small nueral network for conformance test's experiments.
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For the 1st version I think it is okay to require more resources. Jaeyeon's suggestion also sounds great.
docs/proposals/conformance-test.md
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| - The above report can be downloaded from the test deployment by running `make report`. | ||
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| - When all reports have been collected, the distributions are going to create PR | ||
| to publish the reports. The Kubeflow Conformance Committee will verify it and |
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to publish the reports and to update the appropriate Kubeflow.org web pages on conformant Kubeflow distributions.
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Thank you for the review @jbottum @james-jwu. I addressed your points. |
andreyvelich
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LGTM, thanks! |
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I guess, all the comments have been addressed. Thanks for the review! |
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@andreyvelich Thanks! |
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/lgtm |
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Thanks everyone for the review, looking forward for our next steps. |
Related: kubeflow/training-operator#1695, #2044.
Original doc: https://docs.google.com/document/d/1TRUKUY1zCCMdgF-nJ7QtzRwifsoQop0V8UnRo-GWlpI/edit#.
I've added conformance doc for CRD-based test for AutoML and Training WG.
Please take a look.
/assign @james-jwu @johnugeorge @tenzen-y @jbottum @anencore94
cc other WGs
@kubeflow/wg-training-leads
@kubeflow/wg-pipeline-leads
@kubeflow/wg-notebooks-leads
@kubeflow/wg-manifests-leads