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Add Intel XPU device support to generate and serve #1361
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/torchchat/1361
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit b784239 with merge base cbc72a4 (): This comment was automatically generated by Dr. CI and updates every 15 minutes. |
Hi @jenniew! Thank you for your pull request and welcome to our community. Action RequiredIn order to merge any pull request (code, docs, etc.), we require contributors to sign our Contributor License Agreement, and we don't seem to have one on file for you. ProcessIn order for us to review and merge your suggested changes, please sign at https://code.facebook.com/cla. If you are contributing on behalf of someone else (eg your employer), the individual CLA may not be sufficient and your employer may need to sign the corporate CLA. Once the CLA is signed, our tooling will perform checks and validations. Afterwards, the pull request will be tagged with If you have received this in error or have any questions, please contact us at [email protected]. Thanks! |
Is there a way to run at least a few simple tests on an xpu to avoid inadvertent breakage? |
For generate, run a simple test by |
install/install_requirements.sh
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PYTORCH_NIGHTLY_VERSION=dev20241002 | ||
if [[ -x "$(command -v xpu-smi)" ]]; | ||
then | ||
PYTORCH_NIGHTLY_VERSION=dev20241001 |
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Why does xpu need an older PYTORCH_NIGHTLY?
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when install torch==2.6.0.dev20241002 and torchvision==0.20.0.dev20241002+xpu, it will get error:
ERROR: Cannot install torch==2.6.0.dev20241002 and torchvision==0.20.0.dev20241002+xpu because these package versions have conflicting dependencies.
The conflict is caused by:
The user requested torch==2.6.0.dev20241002
torchvision 0.20.0.dev20241002+xpu depends on torch==2.6.0.dev20241001
So for xpu, I changed the torch nightly version to dev20241001
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Let me see if I can get you a fresher version on XPU, the torch/vision discrepancy shouldn't be a normal thing
install/install_requirements.sh
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REQUIREMENTS_TO_INSTALL=( | ||
torch=="2.6.0.${PYTORCH_NIGHTLY_VERSION}" | ||
torchvision=="0.20.0.${VISION_NIGHTLY_VERSION}" | ||
torchtune=="0.3.1" |
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Context on the varying tune version?
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On xpu nightly URL, it does not have nightly version of torchtune, so just install 0.3.1 release for xpu environment.
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Hmm we should add support for nightly, let me ping some torchtune folk
cc: @ebsmothers
Welcome to torchchat and thanks for adding @jenniew!! Super stoked to see that it didn't require much lift to get XPU set up. Added a few questions on the versioning difference. What device did you test on btw? Tagging a few folk who I'm trying to help taking a larger role |
@jenniew Also do you mind filling out the CLA? It'll allow you to contribute to Meta repos |
Yes, I just signed the CLA |
I tested on Intel Data Center GPU Max 1100. |
Just an update:
|
Would be nice to run as a test as well. Could be as easy as enabling and adding a runner for xpu to test-readme-pr.yml if it is available. Alternatively, may require a copy of that file because the test spec has several target-runner related specs, with updates to all fields for values representative of xpu environment:
|
install/install_requirements.sh
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REQUIREMENTS_TO_INSTALL=( | ||
torch=="2.6.0.${PYTORCH_NIGHTLY_VERSION}" | ||
torchvision=="0.22.0.${VISION_NIGHTLY_VERSION}" | ||
torchtune=="0.4.0" |
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Hi @songhappy, are we able to bump this to 0.5.0?
I also noticed that over in tune pytorch/torchtune#1280, another intel eng (Ankur-singh) is checking in on nightly stsatus
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Hi @Jack-Khuu , I have updated torchtune version to 0.5.0. Update to now, nightly version is still unavailable. Can you review this PR and check if it can be merged. If the torchtune nightly on XPU is ready, we can update the installation later in a new PR.
@mikekgfb , yes, we need to add xpu test as well. Since the test validation may take a few efforts, I think we may do it in a separate PR after this PR is merged. |
Add XPU device support exclude distributed mode, workflow, documentation.