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[WIP] Using pyproject.toml to install different versions of torch #588
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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
0 pip 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 1.6.0 Installation'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 +/- ##
=======================================
Coverage 76.58% 76.58%
=======================================
Files 46 46
Lines 3451 3451
Branches 470 470
=======================================
Hits 2643 2643
Misses 706 706
Partials 102 102 ☔ View full report in Codecov by Sentry. 🚨 Try these New Features:
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PR Goal?
Have a unified way of installing EveryVoice by using exclusively
pyproject.toml
and removingrequirements.torch.txt
.Fixes?
Feedback sought?
NONE FOR NOW
Priority?
low
Tests added?
How to test?
Confidence?
Version change?
Related PRs?