Comments (2)
I think they set "inital_training" just for config sake since no training should be occurring if we are just making predictions and loading up pre-trained weights.
From the config.py script we can see that it just keeps the default args set by the config dict:
Line 59 in 9ebdaeb
I see where the confusion comes from though since train
is set to true in the predict.py file, I am not sure why this is.
Line 45 in 9ebdaeb
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Thank you for your comment. As you say, training usually doesn't happen but I just harbored a thought of that possibility.
After reading code I noticed that thought is not correct.
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Related Issues (20)
- TypeError: __init__() missing 1 required positional argument: 'no_column_attention' HOT 5
- Multimer HOT 2
- scripts.unpack_mmcif.py reference to outdated betafold? HOT 1
- Installation fails on Cuda12 HOT 3
- PDB as input
- PPI ensembles HOT 2
- Dockerfile or CUDA 12 HOT 2
- Diffuse selected residues
- Issues with CUDA12 and or G++17 HOT 1
- Command options' help messages in predict.py missing HOT 1
- Generating Abnormal PDB results HOT 2
- missing scripts.prep_atlas.py file HOT 1
- The size of tensor a (184) must match the size of tensor b (183) at non-singleton dimension 1 HOT 1
- Availability of MD Ensemble Evaluation Scripts HOT 2
- Training with PDBs
- The distance between adjacent alpha carbons is not 3.8 A from the Prior
- when traing alphaflow from scratch, show AttributeError: 'AlphaFoldWrapper' object has no attribute 'extra_msa_stack' HOT 2
- predict.py does not run AttributeError: module 'numpy' has no attribute 'object'.
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