4 ms·

Everyone has their own way to do this. Every step is broken by some unfamiliar dependency that requires special arcane knowledge to fix. Part of me is a grumpy

Everyone has their own way to do this. Every step is broken by some unfamiliar dependency that requires special arcane knowledge to fix. Part of me is a grumpy old man that doesn’t gravitate to the shiny new tools that come out every week that the younger devs keep up with :)

pdntspa 3y ago
pip and venv are neither shiny nor new, it's the standard way of doing things for a while. I am an outsider to python and am incredibly thankful for this standardization, because i agree getting python env set up correctly before venv was a huge pain If your guys arent on this I'd suggest you get them on it, it dramatically simplifies setup
- waynecochran 3y ago
  Here is a tiny excerpt try to get dvc to work just so I could get the training weights for deployment ... remember I don't develop much w Python... $ dvc pull Command 'dvc' not found, but can be installed with: sudo snap install dvc $ sudo snap install dvc error: This revision of snap "dvc" was published using classic confinement and thus may perform arbitrary system changes outside of the security sandbox that snaps are usually confined to, which may put your system at risk. If you understand and want to proceed repeat the command including --classic. ok I get dvc installed somehow -- don't remember. Time to get the weights... $ python3 -m dvc pull ERROR: unexpected error - Forbidden: An error occurred (403) when calling the HeadObject operation: Forbidden Having any troubles? Hit us up at https://dvc.org/support, we are always happy to help! Finally I just have my colleague manually copy the weights. This kind of thing went for hours.
  - pdntspa 3y ago
    Researchers are notorious for writing bad code What even is dvc edit: also- i'd avoid snap and just use your regular package manager.
    - waynecochran 3y ago
      I think dvc is like git for large binary files. You need someway to manage your NN weights -- what are other methods?
      - pdntspa 3y ago
        git lfs is what everyone is using, HF in particular
  - efiop 3y ago
    Hey, DVC maintainer here. Thanks for giving DVC a try! There are a few ways to install dvc, see https://dvc.org/doc/install/linux https://dvc.org/doc/install/linux With snap, you need to use `--classic` flag, as noted in https://dvc.org/doc/install/linux#install-with-snap https://dvc.org/doc/install/linux#install-with-snap Unfortunately that's just how snap works for us there :( Regarding the pull error, it simply looks like you don't have some credentials set up. See https://dvc.org/doc/user-guide/data-management/remote-storage/amazon-s3#amazon-s3-and-compatible-servers https://dvc.org/doc/user-guide/data-management/remote-storag... Still, the error could be better, so that's on us. Feel free to ping us in discord (see invite link in https://dvc.org/support https://dvc.org/support). I'm @ruslan there. We'll be happy to help.
    - waynecochran 3y ago
      Thanks… i know my colleague uses it a lot. I generally use his models and don’t do much ML development yet. At some point I need to properly learn all of this. It seems ML tools are only for developers not for those who simply want to deploy and use the resulting NN.

pdntspa 3y ago

pip and venv are neither shiny nor new, it's the standard way of doing things for a while. I am an outsider to python and am incredibly thankful for this standardization, because i agree getting python env set up correctly before venv was a huge pain If your guys arent on this I'd suggest you get them on it, it dramatically simplifies setup

waynecochran 3y ago
Here is a tiny excerpt try to get dvc to work just so I could get the training weights for deployment ... remember I don't develop much w Python... $ dvc pull Command 'dvc' not found, but can be installed with: sudo snap install dvc $ sudo snap install dvc error: This revision of snap "dvc" was published using classic confinement and thus may perform arbitrary system changes outside of the security sandbox that snaps are usually confined to, which may put your system at risk. If you understand and want to proceed repeat the command including --classic. ok I get dvc installed somehow -- don't remember. Time to get the weights... $ python3 -m dvc pull ERROR: unexpected error - Forbidden: An error occurred (403) when calling the HeadObject operation: Forbidden Having any troubles? Hit us up at https://dvc.org/support, we are always happy to help! Finally I just have my colleague manually copy the weights. This kind of thing went for hours.
- pdntspa 3y ago
  Researchers are notorious for writing bad code What even is dvc edit: also- i'd avoid snap and just use your regular package manager.
  - waynecochran 3y ago
    I think dvc is like git for large binary files. You need someway to manage your NN weights -- what are other methods?
    - pdntspa 3y ago
      git lfs is what everyone is using, HF in particular
- efiop 3y ago
  Hey, DVC maintainer here. Thanks for giving DVC a try! There are a few ways to install dvc, see https://dvc.org/doc/install/linux https://dvc.org/doc/install/linux With snap, you need to use `--classic` flag, as noted in https://dvc.org/doc/install/linux#install-with-snap https://dvc.org/doc/install/linux#install-with-snap Unfortunately that's just how snap works for us there :( Regarding the pull error, it simply looks like you don't have some credentials set up. See https://dvc.org/doc/user-guide/data-management/remote-storage/amazon-s3#amazon-s3-and-compatible-servers https://dvc.org/doc/user-guide/data-management/remote-storag... Still, the error could be better, so that's on us. Feel free to ping us in discord (see invite link in https://dvc.org/support https://dvc.org/support). I'm @ruslan there. We'll be happy to help.
  - waynecochran 3y ago
    Thanks… i know my colleague uses it a lot. I generally use his models and don’t do much ML development yet. At some point I need to properly learn all of this. It seems ML tools are only for developers not for those who simply want to deploy and use the resulting NN.