AttributeError: "'data'" in config_dict.py

What is your question? I get a weird error that I cannot interpret. I report below the code to reproduce it.

Computational environment OS: Linux CentOS 7.

Cuda:

nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Tue_May__3_18:49:52_PDT_2022
Cuda compilation tools, release 11.7, V11.7.64
Build cuda_11.7.r11.7/compiler.31294372_0

gcc --version
gcc (conda-forge gcc 12.1.0-16) 12.1.0
Copyright (C) 2022 Free Software Foundation, Inc.

To Reproduce Steps to reproduce the behavior:

input:

cat short_seqs2.fasta

>short_seq
PIAQIHILEGRSDEQKETLIREVSEAISRSLDAPLTSVRVIITEMAKGHFGIGGELASK
>qes_trohs
KSALEGGIGFHGKAMETIIVRVSTLPADLSRSIAESVERILTEKQEDSRGELIHIQAIP

Run as:

colabfold_batch --amber --templates --num-recycle 5 --use-gpu-relax --num-models 1 --model-type AlphaFold2-multimer-v1 short_seqs2.fasta ~/output/CF/short_seqs2

Errors I get to stderr:

WARNING: You are welcome to use the default MSA server, however keep in mind that it's a limited shared resource only capable of processing a few thousand MSAs per day. Please submit jobs only from a single IP address. We reserve the right to limit access to the server case-by-case when usage exceeds fair use.

If you require more MSAs:

* You can precompute all MSAs with `colabfold_search` or

* You can host your own API and pass it to `--host-url`
COMPLETE: 100%|██████████| 150/150 [elapsed: 00:03 remaining: 00:00]
Traceback (most recent call last):
  File "/users/software/miniconda/envs/colabfold/lib/python3.7/site-packages/ml_collections/config_dict/config_dict.py", line 903, in __getitem__
    field = self._fields[key]
KeyError: 'data'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/users/software/miniconda/envs/colabfold/lib/python3.7/site-packages/ml_collections/config_dict/config_dict.py", line 827, in __getattr__
    return self[attribute]
  File "/users/software/miniconda/envs/colabfold/lib/python3.7/site-packages/ml_collections/config_dict/config_dict.py", line 909, in __getitem__
    raise KeyError(self._generate_did_you_mean_message(key, str(e)))
KeyError: "'data'"

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/users/software/miniconda/envs/colabfold/bin/colabfold_batch", line 8, in <module>
    sys.exit(main())
  File "/users/software/miniconda/envs/colabfold/lib/python3.7/site-packages/colabfold/batch.py", line 1752, in main
    stop_at_score_below=args.stop_at_score_below,
  File "/users/software/miniconda/envs/colabfold/lib/python3.7/site-packages/colabfold/batch.py", line 1385, in run
    random_seed=random_seed,
  File "/users/software/miniconda/envs/colabfold/lib/python3.7/site-packages/colabfold/batch.py", line 350, in predict_structure
    use_templates,
  File "/users/software/miniconda/envs/colabfold/lib/python3.7/site-packages/colabfold/batch.py", line 279, in batch_input
    eval_cfg = model_config.data.eval
  File "/users/software/miniconda/envs/colabfold/lib/python3.7/site-packages/ml_collections/config_dict/config_dict.py", line 829, in __getattr__
    raise AttributeError(e)
AttributeError: "'data'"

stdout

2022-07-08 21:27:28,528 Running colabfold 1.3.0 (2a47c6f1459fbbdb5242cbc62173f9b513813cfa)
2022-07-08 21:27:34,541 --max-msa can not be used in combination with AlphaFold2-multimer (--max-msa ignored)
2022-07-08 21:28:03,707 Found 8 citations for tools or databases
2022-07-08 21:28:08,801 Query 1/2: short_seq (length 59)
2022-07-08 21:28:18,966 Sequence 0 found templates: ['6bgn_J', '2op8_A', '2opa_A', '4faz_C', '6ogm_D', '6ogm_J', '2x4k_A', '3ry0_A', '3ry0_B', '4fdx_A', '4fdx_B', '3ej3_B', '3ej3_L', '3ej9_D', '2orm_A', '2orm_C', '3m21_C', '3mb2_A', '3m20_A', '3m20_C']
2022-07-08 21:28:19,286 Running model_3

Expected behavior I was hoping to be able to run a multimer type prediction, but no pdb file is computed. I can run single protein prediction without problem, I first encountered this problem when using a multifasta file for a multimer prediction.

ls -1 ~/output/CF/short_seqs2

cite.bibtex
config.json
log.txt
short_seq.a3m
short_seq_env

ls -1 ~/output/CF/short_seqs2/short_seq_env

bfd.mgnify30.metaeuk30.smag30.a3m
msa.sh
out.tar.gz
pdb70.m8
templates_101
uniref.a3m

[18217265596]

@YoshitakaMo i did produce that problem but i think its a format issue

format like that short_seq worked fine last night i guess no ploblem now thanks

[18217265596]

same problem report