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@satishpasumarthi satishpasumarthi commented Oct 14, 2021

Issue #, if available:

Description of changes:

Testing done:

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  • I have read the CONTRIBUTING doc
  • I certify that the changes I am introducing will be backword compatible, and I have discussed concerns about this, if any, with the Python SDK team
  • I used the commit message format described in CONTRIBUTING
  • I have passed the region in to all S3 and STS clients that I've initialized as part of this change.
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  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
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  • I have used unique_name_from_base to create resource names in integ tests (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

@satishpasumarthi satishpasumarthi marked this pull request as draft October 14, 2021 23:45
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@satishpasumarthi Please fix failing tests and update your branch for us to review this again

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is this being worked on? or we can close it for now?
@satishpasumarthi

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is this being worked on? or we can close it for now? @satishpasumarthi

Hi, Yes it is. There are other connecting parts in sagemaker-training-toolkit and pytorch toolkit which is being worked on. Please leave it in draft for the next few days.

@satishpasumarthi satishpasumarthi changed the title feature: Add support for Pytorch Vanilla DDP feature: Add support for Native Pytorch DDP Feb 21, 2022
@satishpasumarthi satishpasumarthi marked this pull request as ready for review February 22, 2022 20:31
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@satishpasumarthi satishpasumarthi marked this pull request as draft March 24, 2022 16:59
@vikas0203 vikas0203 requested review from a team, claytonparnell and trajanikant and removed request for a team November 23, 2022 21:37
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Closing as this has been in draft state for too long! Please reopen if the change is still relevant.

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