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Inference script with representative mapping and metadata #514

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Inference script with representative mapping and metadata #514

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etowahadams
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  • Inference script which also takes in additional args for the representative mapping and the metadata so that the right MSAs can be used
  • Since template searching can take a long time, I iterate through the different seeds after the the templates have been found

etowahadams
etowahadams commented Dec 9, 2024
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run_pretrained_openfold.py
Comment on lines +419 to +424
for seed in random_seeds:
np.random.seed(seed)
torch.manual_seed(seed + 1) # This is what the original code does

try:
out = run_model(model, processed_feature_dict, tag, args.output_dir)
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I want to make sure that switching seeds right before calling inference on the model is equivalent to switching seeds earlier. One thing that comes to mind is if there is some stochasticity when load_models_from_command_line gets called.

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