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[Help] Stuck at "Solving environment" when creating virtual environment #193

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ZBS6666666 opened this issue Dec 11, 2024 · 4 comments
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@ZBS6666666
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Hello everyone! I'm having an issue while creating a virtual environment for a project. I used the command "conda env create --file environment.yml", but after collecting package metadata, it got stuck at "Solving environment" for nearly an hour.
Collecting package metadata (repodata.json):
WARNING conda.models.version:get_matcher(537): Using.* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.9.0., but conda is ignoring the. and treating it as 1.9.0
WARNING conda.models.version:get_matcher(537): Using.* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.8.0., but conda is ignoring the. and treating it as 1.8.0
WARNING conda.models.version:get_matcher(537): Using.* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.6.0., but conda is ignoring the. and treating it as 1.6.0
WARNING conda.models.version:get_matcher(537): Using.* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.7.1., but conda is ignoring the. and treating it as 1.7.1
done
Solving environment: -

@moonChen2
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moonChen2 commented Jan 27, 2025

same problem. have you solved it ?
But I have the original 3d gs environment, it works on 2d gs too. So maybe you can directly use it after pip install some missing packages.

@yashj235
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yashj235 commented Feb 1, 2025

Instead of installing using the environment.yml file, try creating a vanila environment with python and then install all dependencies separately

@JRSWEDE
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JRSWEDE commented Feb 15, 2025

It takes some time to generate the env. Mine took serval hours...But it did generate a env file and works fine.

@hbb1
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hbb1 commented Feb 25, 2025

Sometimes using pip install instead of conda can be faster. The env.yaml are all very basic libraries and you may skip some libraries that you have already installed, such as pytorch.

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