Wenjian-Ma

Thanks so much! There is another question: I use the same procedure DeepMind used by running "python3 scripts/precompute_alignments.py" for generating MSAs, but this procedure computes MSAs of ~180,000 protein chain,...

 Thanks for your answer! There is still a question that I need your help: Is the value of first path parameter "mmcif_dir/" the same as the value of third...

Thanks! Besides, can this code about the OpenFold run with reference to readme.txt? Because "train_openfold.py" requires a parameters "max_template_date", but it doesn't set by readme.txt, as shown in the figure....

Yep...sorry...I am careless... There is a new question: I have computed 370 alignments, which covered 151 proteins, but when I run the "generate_chain_data_cache.py", I got a output file"chain_data_cache.json" whose content...

  the base class of "OpenFoldWrapper" is "LightningModule", which also has no attribute '_compute_validation_metrics'. Is this a bug?

Thanks！but there is a new error:  should I change the parameters "num_workers" in config.py? as shown in following figure: 

 I don't change your code, just run the code based on your readme.txt

trainging data is 370 alignments, which covered 151 proteins. Error information is as follows: [error information.txt](https://github.com/aqlaboratory/openfold/files/8175238/error.information.txt)

[package version.txt](https://github.com/aqlaboratory/openfold/files/8175249/package.version.txt) package version

I have resolved this problem via insert a line of code "torch.multiprocessing.set_sharing_strategy('file_system')"