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This repository has been archived by the owner on Aug 1, 2024. It is now read-only.
model = esm.pretrained.esmfold_v1()
model = model.eval().cuda()
model.set_chunk_size(128)
sequence = "MKTVRQERLKSIVRILERSKEPVSGAQLAEELSVSRQVIVQDIAYLRSLGYNIVATPRGYVLAGG"
with torch.no_grad():
output = model.infer_pdb(sequence)
I have encountered an error : module 'deepspeed' has no attribute 'comm'. And this error originated from 'output = model.infer_pdb(sequence)' .
I am very confused why this problem happens and do not know what to do.
The text was updated successfully, but these errors were encountered:
@YvetteJxy Thank you very much for your reply. Now it can run successfully,But the pLDDT result I obtained is 49.75926877470356. Do you know what could be the reason?
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When I run the example given in readme:
model = esm.pretrained.esmfold_v1()
model = model.eval().cuda()
model.set_chunk_size(128)
sequence = "MKTVRQERLKSIVRILERSKEPVSGAQLAEELSVSRQVIVQDIAYLRSLGYNIVATPRGYVLAGG"
with torch.no_grad():
output = model.infer_pdb(sequence)
I have encountered an error : module 'deepspeed' has no attribute 'comm'. And this error originated from 'output = model.infer_pdb(sequence)' .
I am very confused why this problem happens and do not know what to do.
The text was updated successfully, but these errors were encountered: