Comments (8)
I will try to do my best tomorrow!
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I can do this, should i start?
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I'll put it on my to-do list, but given that I don't personally have any experience with Docker, a community contribution here would be welcome.
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please, I moved to other stuff.
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Curious if anyone's made progress on this?
-- Would be quite useful...
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@mblumberg See #54
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Thx 👍
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Resolved with #71.
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Related Issues (20)
- ModuleNotFoundError: No module named 'attn_core_inplace_cuda' HOT 1
- RuntimeError: Error building extension 'evoformer_attn' HOT 1
- Multimer predicting a homomer HOT 2
- Docker container AttributeError: Did you mean: 'linear_a_p'? when trying to run multimer inference
- Unable to install OpenFold in Google Colaboratory
- MMseqs precomputing alignment too slow
- Unable to install OpenFold within Anaconda
- The flatten_roda.sh has problems.
- why target_feat is with shape (N,22), not same as alphafold2 paper (N,21)
- Uniprot hits for Open Protein Set
- installation error HOT 3
- How to emphasize on the structure? HOT 1
- why the training loss is strange
- Has the self-distillation database with 270,000 structures been provided, and where can I find it? Or do I need to generate it myself? HOT 1
- tests.test_primitives.TestLMA: torch.cuda.OutOfMemoryError: CUDA out of memory HOT 3
- Output issue on H100 with memory-efficient kernel HOT 3
- NVIDIA Corporation TU117GL not compatible with FA2
- RuntimeError: cusolver error: CUSOLVER_STATUS_INTERNAL_ERROR
- Random crop during training HOT 1
- CUDA out of memory during training with A100 GPUs HOT 2
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