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JAX Integration Enhancement Proposal #2125

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sandipanpanda
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Enhancement Proposal for integrating JAX with Kubeflow Training Operator for distributed training on Kubernetes

Ref:

/area gsoc

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@kannon92
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@andreyvelich @tenzen-y do we want to see about using JobSet here? API seems pretty simple so far and JobSet should be a quick drop in from what I see.

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@andreyvelich @tenzen-y do we want to see about using JobSet here? API seems pretty simple so far and JobSet should be a quick drop in from what I see.

Yes, we will work with @sandipanpanda to refactor this proposal based on our discussion from this doc: https://docs.google.com/document/d/1bha8rB6_iPTi9rXjJMnKi-CLxfL7dwtmQCKH4N6dcsI/edit#heading=h.24ap79rbqoxl.
E.g. integrate Jax to Training Operator with JobSet and TrainJob.

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Pull Request Test Coverage Report for Build 9207133318

Details

  • 0 of 0 changed or added relevant lines in 0 files are covered.
  • No unchanged relevant lines lost coverage.
  • Overall coverage increased (+0.02%) to 35.431%

Totals Coverage Status
Change from base Build 9179239826: 0.02%
Covered Lines: 4380
Relevant Lines: 12362

💛 - Coveralls

- **Mitigation**: Implement robust scheduling and resource management policies in the Training Operator.

## Design Details

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Could you add a corresponding table between all JAX environment variables and how to obtain OR configure the JAX parameters like this?

https://docs.google.com/document/d/1bha8rB6_iPTi9rXjJMnKi-CLxfL7dwtmQCKH4N6dcsI/edit#heading=h.d6pih1ui0ccr

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@sandipanpanda Is there any tables?

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selector:
app: jaxjob-master-${job_id}
ports:
- port: 23456
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Document the default port somewhere

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@sandipanpanda We agreed that initially we can support Jax within existing Training Operator implementation given the time it takes for us to design and to implement TrainJob API with JobSet.
Once we implement TrainJob API in Training Operator, we will easily add support for Jax settings.
We are planning to implement TrainJob API in Q4 - Q1.

That will unblock @sandipanpanda with this work.
@sandipanpanda Feel free to finalize your GSoC proposal using the existing Training Operator assets.
cc @kubeflow/wg-training-leads

@sandipanpanda sandipanpanda force-pushed the jax-integration-proposal branch from 7ca6f7e to 2040ac4 Compare June 19, 2024 20:03
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Thanks! I have updated the proposal according to Kubeflow Proposal Document Structure. I am working on finalizing the proposal using the existing Training Operator assets.

@sandipanpanda sandipanpanda force-pushed the jax-integration-proposal branch from 2040ac4 to abc4ca4 Compare June 28, 2024 14:39
@sandipanpanda sandipanpanda force-pushed the jax-integration-proposal branch from abc4ca4 to 1e8059d Compare July 5, 2024 14:53
@google-oss-prow google-oss-prow bot added size/XL and removed size/L labels Jul 5, 2024
@sandipanpanda sandipanpanda force-pushed the jax-integration-proposal branch from 1e8059d to 895620d Compare July 8, 2024 20:20
@google-oss-prow google-oss-prow bot added size/L and removed size/XL labels Jul 8, 2024
@sandipanpanda sandipanpanda force-pushed the jax-integration-proposal branch from 895620d to 242df25 Compare July 8, 2024 20:27
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/cc @andreyvelich @tenzen-y PTAL

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@sandipanpanda: GitHub didn't allow me to request PR reviews from the following users: PTAL.

Note that only kubeflow members and repo collaborators can review this PR, and authors cannot review their own PRs.

In response to this:

/cc @andreyvelich @tenzen-y PTAL

Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes-sigs/prow repository.

@google-oss-prow google-oss-prow bot requested a review from tenzen-y July 9, 2024 15:33
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Additionally, could you mention about validations?
You can refer to the other framework validations like this: https://github.com/kubeflow/training-operator/blob/2b39d3cbc1525dc29eb40aa58b149dbeef00aa0f/pkg/webhooks/pytorch/pytorchjob_webhook.go

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- **Mitigation**: Implement robust scheduling and resource management policies in the Training Operator.

## Design Details

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@sandipanpanda Is there any tables?

@sandipanpanda sandipanpanda force-pushed the jax-integration-proposal branch 3 times, most recently from 9c4c9bd to e3eaa99 Compare July 11, 2024 17:46
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@tenzen-y PTAL

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coveralls commented Jul 11, 2024

Pull Request Test Coverage Report for Build 9898700147

Details

  • 0 of 0 changed or added relevant lines in 0 files are covered.
  • No unchanged relevant lines lost coverage.
  • Overall coverage increased (+0.02%) to 35.423%

Totals Coverage Status
Change from base Build 9896165546: 0.02%
Covered Lines: 4380
Relevant Lines: 12365

💛 - Coveralls

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Otherwise lgtm

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Actually, I never find validation design through this design.
Could you add which validations should we add?
For example, do we need to validate if the JaxJob has cordinator role?

Kubeflow Enhancement Proposal: Integrate JAX with Kubeflow Training Operator

Signed-off-by: Sandipan Panda <samparksandipan@gmail.com>
@sandipanpanda sandipanpanda force-pushed the jax-integration-proposal branch from e3eaa99 to 816efcc Compare July 11, 2024 21:24
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Thank you!
/lgtm
/approve

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[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: tenzen-y

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@google-oss-prow google-oss-prow bot merged commit bcba864 into kubeflow:master Jul 12, 2024
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@sandipanpanda sandipanpanda deleted the jax-integration-proposal branch July 12, 2024 19:52
YosiElias pushed a commit to YosiElias/training-operator that referenced this pull request Jul 18, 2024
Kubeflow Enhancement Proposal: Integrate JAX with Kubeflow Training Operator

Signed-off-by: Sandipan Panda <samparksandipan@gmail.com>
Signed-off-by: yelias <yossi.elias@nokia.com>
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7 participants