Comments (2)
Furthermore, when I try to use msa_oa_dm_maxsub
python evodiff/conditional_generation_msa.py --model-type msa_oa_dm_maxsub --cond-task scaffold --pdb 1prw --start-idxs 15 --end-idxs 34 --start-idxs 51 --end-idxs 70 --num-seqs 1 --query-only
I get the following error
Downloading: "https://zenodo.org/record/8045076/files/msa-oaar-maxsub.tar?download=1" to
75%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████ | 980M/1.28G [02:23<00:48, 7.17MB/s]
Traceback (most recent call last):
File "evodiff/conditional_generation_msa.py", line 1065, in <module>
main()
File "evodiff/conditional_generation_msa.py", line 65, in main
checkpoint = MSA_OA_DM_MAXSUB()
File "evodiff/lib/python3.8/site-packages/evodiff/pretrained.py", line 300, in MSA_OA_DM_MAXSUB
model, tokenizer = load_msa_checkpoint("msa-oaar-maxsub", file_path,
File "evodiff/lib/python3.8/site-packages/evodiff/pretrained.py", line 69, in load_msa_checkpoint
state_dict = download_model(model_name)
File "evodiff/lib/python3.8/site-packages/evodiff/utils.py", line 383, in download_model
state_dict = torch.hub.load_state_dict_from_url(url, progress=True, map_location=torch.device('cpu'))
File "envs/evodiff/lib/python3.8/site-packages/torch/hub.py", line 746, in load_state_dict_from_url
download_url_to_file(url, cached_file, hash_prefix, progress=progress)
File "envs/evodiff/lib/python3.8/site-packages/torch/hub.py", line 636, in download_url_to_file
f.write(buffer)
File "/evodiff/lib/python3.8/tempfile.py", line 474, in func_wrapper
return func(*args, **kwargs)
OSError: [Errno 5] Input/output error
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Thanks for catching the typo in the example command - fixed in commit 683b08d
I installed in a clean environment and clean machine, and it does appear to download. Perhaps make sure you have 1.2 GB available for download? Your error log shows it appears to break mid-download.
python evodiff/conditional_generation_msa.py --model-type msa_oa_dm_maxsub --cond-task scaffold --pdb 1prw --start-idxs 15 --end-idxs 34 --start-idxs 51 --end-idxs 70 --num-seqs 1 --query-only
Downloading: "https://zenodo.org/record/8045076/files/msa-oaar-maxsub.tar?download=1" to /home/salamdari/.cache/torch/hub/checkpoints/msa-oaar-maxsub.tar
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 1.28G/1.28G [02:25<00:00, 9.45MB/s]
SEQ 0
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Related Issues (20)
- Question about fine-tuning
- Using generate_msa() HOT 3
- Error Loading Pretrained Model with `--pretrained` Flag
- Allow diffusion to gap character in OADM models? HOT 1
- Indexing bugs in TRRMSADataset
- Error Loading State Dictionary in ByteNetLMTime: Unexpected Keys HOT 6
- Error with IDR inpainting with Evodiff-MSA HOT 1
- Question on MaxHamming distance HOT 1
- the error in generate sequences using esm1b_650M HOT 2
- Running the `evodiff/generate.py` script HOT 1
- padding_idx=masking_idx in ByteNetLMTime instantiation arguments HOT 1
- Question: ways to improve conditional MSA generation HOT 1
- How to train LRAR
- Following basic code doesn't work HOT 1
- Nothing works HOT 4
- Non-canonical amino acid sequence seen HOT 1
- Error while running inpainting task using EvoDiff-seq HOT 1
- Scaffolding benchmark produces different sequences every time it is run HOT 1
- Dependency issues when installing environment packages
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