- Remove `CUDA_AND_DML`. This was for onnx, which we have since removed.
- Remove `AUTODETECT`. This option causes problems for windows users, as it falls back on default pypi index resulting in a non-CUDA torch being installed.
- Add more explicit settings for extra index URL, based on the torch website
- Fix bug where `xformers` wasn't installed on linux and/or windows when autodetect was selected
This allows us to easily test the installer without needing the desired version to be published on PyPI:
```sh
python3 installer/lib/main.py --wheel installer/dist/InvokeAI-4.0.0rc6-py3-none-any.whl
```
A warning message and confirmation are displayed when the arg is used.
The rest of the installer is unchanged.
Updating should always be done via the installer. We initially planned to only deprecate the updater, but given the scale of changes for v4, there's no point in waiting to remove it entirely.
- Restructure & update code check workflows
- Add release workflow to handle checks/tests, build and publish to PyPI
- Add docs/RELEASE.md explaining the workflow & process
- `create_installer.sh`: Update to work with the release workflow
- `create_installer.sh` & `tag_release.sh`: Fix the ANSI escape codes for macOS
- `tag_release.sh`: Add check for python binary name
- `tag_release.sh`: Print `git remote -v` output
- `tag_release.sh`: Fix error when deleting nonexistant tags
This has repeatedly shown itself useful in fixing install issues,
especially regarding pytorch CPU/GPU version, so there is little
downside to making this the default.
Performance impact of this should be negligible. Packages will
be reinstalled from pip cache if possible, and downloaded only if
necessary. Impact may be felt on slower disks.
