[WIP] Using pyproject.toml to install different versions of torch#588
[WIP] Using pyproject.toml to install different versions of torch#588SamuelLarkin wants to merge 2 commits intomainfrom
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Reference Installation Logs from dbc2282
Note that we don't see any mention of grep -c rocm log.make-everyvoice-env.dbc2282a3
0pip list | grep 'nvidia\|torch'
nvidia-cublas-cu12 12.1.3.1
nvidia-cuda-cupti-cu12 12.1.105
nvidia-cuda-nvrtc-cu12 12.1.105
nvidia-cuda-runtime-cu12 12.1.105
nvidia-cufft-cu12 11.0.2.54
nvidia-curand-cu12 10.3.2.106
nvidia-cusparse-cu12 12.1.0.106
nvidia-nvjitlink-cu12 12.2.140
nvidia-nvtx-cu12 12.1.105
pytorch-lightning 2.4.0
torch 2.1.0+cu118
torchaudio 2.1.0+cu118
torchinfo 1.8.0
torchmetrics 1.6.0Installation's Logs with New
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #588 +/- ##
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Coverage 76.59% 76.59%
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Files 46 46
Lines 3452 3452
Branches 470 470
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Hits 2644 2644
Misses 706 706
Partials 102 102 ☔ View full report in Codecov by Sentry. |
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Closing now due to incompatibility with torch - as per @SamuelLarkin - @SamuelLarkin will post URL |
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Specifying GPU version of pytorch for python package in pyproject.toml |
PR Goal?
Have a unified way of installing EveryVoice by using exclusively
pyproject.tomland removingrequirements.torch.txt.Fixes?
Feedback sought?
NONE FOR NOW
Priority?
low
Tests added?
How to test?
Confidence?
Version change?
Related PRs?