RosettaCommons / RosettaCommons/foundry
Running RFD3 - network_input (X_noisy_L) for example_id ?
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- Python
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Description
My design specifications are as follows:
{"trimmed_hotspot_1": {
"dialect": 2,
"infer_ori_strategy": "hotspots",
"input": "input_pdbs/trimmed.pdb",
"contig": "65-80,/0,A42-191,209-371",
"select_hotspots": {
"A346": "CD1,CE2",
"A347": "CB",
"A349": "CB"
},
"is_non_loopy": true
}
What is causing this assertion error?
AssertionError: network_input (X_noisy_L) for example_id: trimmed_hotspot_1_44: Tensor contains NaNs!
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No source file, test, or entry point is named. Start by reproducing the supplied RFD3 configuration for example_id trimmed_hotspot_1_44 and trace where network_input (X_noisy_L) is generated. Done means identifying the condition that introduces NaNs and adding a verified fix or regression coverage for this configuration.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100