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environment.yml: fix and update #307

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merged 3 commits into from
May 17, 2022
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@remtav remtav commented May 17, 2022

Fix conda environment for #304 and next.

Adapted from #275 :

add dependency: torchgeo, pystac, solaris (v0.5.0), rio-stac
move pip dependencies to conda if possible
change channel priority (pytorch, then conda-forge)
remove secondary dependencies when possible

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remtav commented May 17, 2022

@ymoisan In your comment, you mentionned that a hardcoded version of pytorch may be best. At the time, I hadn't thought of "pytorch-gpu" to solve this lack of flexibility however. Now, I've managed to make the pytorch version flexible, thanks to the torchgeo folks. Would adding flexibility to pytorch version be ok with you? It seems like it would relieve us from conda environment issues for a bit longer and also not require user to comment/uncomment lines of environment.yml whether he/she is using Windows, Linux, etc.

@remtav remtav merged commit badc979 into NRCan:develop May 17, 2022
@remtav remtav deleted the conda-env-fix-update branch May 18, 2022 13:55
remtav added a commit to remtav/geo-deep-learning that referenced this pull request Jul 5, 2022
* environment.yml: fix and update

* environment.yml: add issue link for setuptools

* environment.yml: add issue link for setuptools
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3 participants