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To allow Clay to run on not just Linux operating systems, but OSX as well!
This comes from user feedback during DevSeed's Team Week, where we found out that the folks developing the Clay model are predominantly Linux-based, but users were using other operating systems like macOS.
Non-OS specific:
- Document how to install mamba (using brew on OSX, or add non-OS specific instructions)
- Extra steps to handle mamba commands on zsh
- Create a docker image for Clay (@leothomas) Add a docker container (and docker-compose file) to run the model/notebooks in a containerize environment #166
OSX (Intel chips):
- Solve installation on OSX by removing cuda part which is Linux specific (@chuckwondo)
- Get CI running on OSX 10.14+
- Mention minimum version of pytorch needed is 2.1?
OSX-ARM64 (M1/M2/M3 chips):
- Get CI running on
macos-14(Add osx-arm64 platform to conda-lock.yml file and GitHub Actions CI #164)Figure out whytorchdata~=0.7.1andtorchvision~=0.16.1cannot be installed onosx-arm64, maybe Rebuild for increased compatibility and build for python 3.12 conda-forge/torchvision-feedstock#89 will help?
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help wantedExtra attention is neededExtra attention is needed