Creating Containers: Pip install conflicts #79
Replies: 3 comments 7 replies
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Hiya So this is the standalone version. First off, yes the requirements are a pain in the butt with this. Have a look at line 337 on here https://github.com/erew123/alltalk_tts/blob/main/atsetup.bat Here is the difficulty I faced. If someone has a cached version of Pytorch and even then, if you pip clear the cache, just doing a So you have to do Hence you will see in the script I force an upgrade to these parts. This is obviously separate from what's occurring when you manually run the Maybe the simplest approach would be to manually force your versions to upgrade with the following:
They should all be playing nicely together... I believe, but if you want to check and let me know where you get to. |
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There's possible 1x extra complexity to add to this now... #82 Huggingface have updated transformers and there may be a bug or change that has broken things. |
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I see JoshXT beat me to it. This is not relevant anymore |
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I started to work on a Containerfile for the project as part of the backlog the project indicated, As part of this I noted that the packages that attempt to get installed as part of the nvidia package have conflicts
And so on. This causes issues because the container build process will die on any error. In my case, the container build process is dying on the TTS & numpy compatibility. So I guess my question is, how can I help resolve these dependecy errors? Does the project really need the exact versions specified (maybe a pip freeze that went sideways?)
If not, can the requirements be loosened?
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