only size-1 arrays can be converted to Python scalars

[wwhhbuct]

it failed to process features model. could anyone give a suggestion?

Traceback (most recent call last):
File "inference.py", line 657, in
main(args)
File "inference.py", line 566, in main
is_multimer=global_is_multimer,
File "/data/xTrimoMultimer/xtrimomultimer/data/feature_pipeline.py", line 108, in process_features
mode=mode,
File "/data/xTrimoMultimer/xtrimomultimer/data/feature_pipeline.py", line 77, in np_example_to_features
num_res = int(np_example["seq_length"])
TypeError: only size-1 arrays can be converted to Python scalars

[semal]

we use colabfold to generate feature pkl file to skip this step in xtrimomultimer, and it works. But find the result performance is lower than alphafold origin result.