Comments (2)
BTW, I wonder how these cuda kernels are installed. Normally they are installed by the setup.py
. But your setup.py
have not code related to the installation of cuda kernels. Maybe the cuda kernels are installed by docker? If so, the annoying hardware compatibility problem would disappear.
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model_2_ft
.
The CUDA kernels are installed in the docker, you can also install the uni-core by yourself.
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Related Issues (20)
- Missing import in Colab HOT 1
- colab error HOT 8
- Is total_step fixed? HOT 2
- import_jax_weights_ failed on AlphaFold-Multimer 2.3.0 HOT 3
- parameters are missing in the pretrained weights HOT 4
- Multi node training HOT 3
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- Run Uni-Fold with Bohrium Apps
- FileNotFoundError: No such file or directory: '/C.feature.pkl.gz' HOT 1
- questions on installing on Ubuntu Linux 22.04 HOT 1
- recreating homo_search.py output -- minimal version HOT 3
- competition multimer analysis -- does chain order matter? HOT 7
- model name for all alphafold parameters HOT 1
- multi-gpu inference
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- Unifold-Musse training and finetuning scripts as well as the ability to use PDB templates
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