helmholtz-analytics / heat

Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
https://heat.readthedocs.io/
MIT License
209 stars 53 forks source link

Support PyTorch 2.3.0 (#1467) #1512

Closed mtar closed 3 months ago

mtar commented 3 months ago

Due Diligence

Description

Backport of PR #1467 into release:

Changes proposed:

Type of change

interoperability / bug fix

github-actions[bot] commented 3 months ago

Thank you for the PR!

codecov[bot] commented 3 months ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 91.77%. Comparing base (6112775) to head (4ae77a5).

Additional details and impacted files ```diff @@ Coverage Diff @@ ## release/1.4.x #1512 +/- ## ================================================= + Coverage 91.58% 91.77% +0.18% ================================================= Files 80 80 Lines 11652 11640 -12 ================================================= + Hits 10672 10683 +11 + Misses 980 957 -23 ``` | [Flag](https://app.codecov.io/gh/helmholtz-analytics/heat/pull/1512/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=helmholtz-analytics) | Coverage Δ | | |---|---|---| | [unit](https://app.codecov.io/gh/helmholtz-analytics/heat/pull/1512/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=helmholtz-analytics) | `91.77% <100.00%> (+0.18%)` | :arrow_up: | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=helmholtz-analytics#carryforward-flags-in-the-pull-request-comment) to find out more.

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