RHOAIENG-24981: Updated codeflare sdk versions and shas for v0.28.1

[kryanbeane]

Description

How Has This Been Tested?

Merge criteria:

• The commits are squashed in a cohesive manner and have meaningful messages.
• Testing instructions have been added in the PR body (for PRs involving changes that are not immediately obvious).
• The developer has manually tested the changes and verified that the changes work

[kryanbeane]

fixing conflicts

[kryanbeane]

@atheo89 thanks for the pointers, should be all up to date now!

[atheo89]

@atheo89 thanks for the pointers, should be all up to date now!

Great! Thank you for the fast update 🙂
What about the tensorflow runtime? Is the only missing part. Does it have conflicts with the other packages?

[kryanbeane]

@atheo89 thanks for the pointers, should be all up to date now!

Great! Thank you for the fast update 🙂 What about the tensorflow runtime? Is the only missing part. Does it have conflicts with the other packages?

Oops missed that, I was searching for 0.27.0 to find what to update. Weird that the tensor flow runtime wasn't updated in the past. Shouldn't be any conflicts with other packages, I will double check with the team and if not I will update it

[kryanbeane]

hey @atheo89 two question:

• is there an easy way to run pipenv lock on a mac but for CUDA runtime images? I am trying to lock dependencies for the pytorch runtime image and only way I could get it going was to start a docker container and run it from inside that but had to mess with the torchvision package (change 0.21.0+cu126 to 0.21.0) to get it working which I'd imagine isnt recommended. Any way you guys do it?
• It turns out the tensorflow one wasn't updated because of an issue with tf2onnx package dependency resolution (see here). It looks like a workaround was added a while back (see here) so just looking for some confirmation that it should be okay to update codeflare sdk despite that?

Thanks!

EDIT: I managed a hacky workaround with docker and managed to run pipenv lock --verbose --pre --clear on all runtimes and also updated the tensor flow one as I believe the previous issue is gone now! Thanks

[jstourac]

/lgtm

[openshift-ci]

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[jstourac]

thank you

/lgtm

[openshift-ci]

@kryanbeane: The following test failed, say /retest to rerun all failed tests or /retest-required to rerun all mandatory failed tests:

Test name	Commit	Details	Required	Rerun command
ci/prow/rocm-runtimes-ubi9-e2e-tests	7b4c07a	link	true	/test rocm-runtimes-ubi9-e2e-tests

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