docs: document horovod on Conda-Forge #3001
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Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## devel #3001 +/- ##
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+ Coverage 26.93% 75.72% +48.79%
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Files 243 245 +2
Lines 24552 24676 +124
Branches 1591 1591
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+ Hits 6613 18687 +12074
+ Misses 17230 5054 -12176
- Partials 709 935 +226 ☔ View full report in Codecov by Sentry. |
wanghan-iapcm
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Nov 21, 2023
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wanghan-iapcm
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Dear Jinzhe, I agree with you.
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Recently I contributed Horovod to conda-forge at conda-forge/staged-recipes#24472. I have tested it with DeePMD-kit. Now the Conda-forge channel has all the features in our deepmodeling channel and even more available platforms.
I wonder if we should recommend Conda-forge in favor of our DeepModeling channel and use it for the offline installer. In 2019, Conda-forge lacked support for TensorFlow, so we hosted and built our own channel against the Anaconda channel. But now Conda-forge has become a mature channel and has better support for TensorFlow than the Anaconda channel.