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License: MIT License
Starter kit for legendary models
License: MIT License
Hello,
I would like to know how to freeze parameters in a model, that is, how to training only a subset of parameters.
Thank you.
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High-level API for model training similar to PyTorch Lightning.
One advantage over Python is that we don't need a separate module type to add methods to a model class (e.g. train_step() and similar).
If I try to install Avalon, I get this error:
ERROR: Unsatisfiable requirements detected for package CUDA [052768ef]:
CUDA [052768ef] log:
├─possible versions are: 0.1.0-3.4.2 or uninstalled
├─restricted by julia compatibility requirements to versions: [2.3.0, 2.5.0-3.4.2] or uninstalled
└─restricted by compatibility requirements with Avalon [d462d321] to versions: 1.2.1-1.3.3 — no versions left
└─Avalon [d462d321] log:
├─possible versions are: 0.1.0 or uninstalled
└─restricted to versions * by an explicit requirement, leaving only versions 0.1.0
I get this even on a new, blank environment.
I'm using julia 1.6.2 on Manjaro Linux. CUDA is V11.4.100, if that matters.
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