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Add single-node multi-GPU adjoint support #27
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mlxd
changed the title
[WIP] Add singl-node multi-GPU adjoint support
[WIP] Add single-node multi-GPU adjoint support
Jun 1, 2022
Hello. You may have forgotten to update the changelog!
|
…ightning-gpu into multigpu_adjoint
…ightning-gpu into multigpu_adjoint
mlxd
changed the title
[WIP] Add single-node multi-GPU adjoint support
Add single-node multi-GPU adjoint support
Jun 17, 2022
maliasadi
suggested changes
Jun 22, 2022
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Great job @mlxd. I have a few questions and suggestions.
mlxd
commented
Jun 22, 2022
Co-authored-by: Ali Asadi <ali@xanadu.ai>
Co-authored-by: Ali Asadi <ali@xanadu.ai>
…ightning-gpu into multigpu_adjoint
trevor-vincent
approved these changes
Jun 23, 2022
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Really awesome PR Lee. I presently see no issues.
maliasadi
approved these changes
Jun 23, 2022
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Thanks for the updates. Great to see the multi-GPU adjoint support in Lightning-GPU 🚀
Cheers folks. I'll do a final pass and merge tomorrow. |
AmintorDusko
approved these changes
Jun 24, 2022
Co-authored-by: Amintor Dusko <87949283+AmintorDusko@users.noreply.github.com>
Thanks again all |
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Before submitting
Please complete the following checklist when submitting a PR:
All new features must include a unit test.
If you've fixed a bug or added code that should be tested, add a test to the
tests
directory!All new functions and code must be clearly commented and documented.
If you do make documentation changes, make sure that the docs build and
render correctly by running
make docs
.Ensure that the test suite passes, by running
make test
.Add a new entry to the
.github/CHANGELOG.md
file, summarizing thechange, and including a link back to the PR.
Ensure that code is properly formatted by running
make format
.When all the above are checked, delete everything above the dashed
line and fill in the pull request template.
Context: This WIP PR will add support for batching observables over multiple GPUs during adjoint differentiation.
Description of the Change:
Benefits:
Possible Drawbacks:
Related GitHub Issues: