Hierarchical solutions to dependency conflicts:
- base layer: Create a standalone Python environment using Anaconda (version 3.7+ recommended)
- installation layer: Select the exact installation command based on the hardware:
- GPU users:
pip install 'magenta_rt[gpu]' - TPU users: add
[tpu]suffix (linguistics)
- GPU users:
- verification layer: Run
python -m magenta_rt.demo --check_dependenciesVerify library compatibility - Options: Using Docker Images
magenta/magenta-realtime:latestAvoiding environmental pollution
When encountering a CUDA version conflict, it is recommended to downgrade to version 11.3 or use the Colab Cloud solution to transition.
This answer comes from the articleMagenta RealTime: an open source model for generating music in real timeThe
May not be reproduced without permission:AI productivity tools " How to resolve dependency conflicts when deploying Magenta RT locally?
