Normal notebook crashing on multimer run

Hi,

I was running a complex with the AlphaFold2.ipynb notebook (I only provided a sequence with : and a job name). This was the error I got when running the Run prediction cell:

RuntimeError                              Traceback (most recent call last)

RuntimeError: module compiled against API version 0xe but this version of numpy is 0xd

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ImportError                               Traceback (most recent call last)

<ipython-input-3-91283de158b2> in <module>()
      5 from colabfold.download import download_alphafold_params, default_data_dir
      6 from colabfold.utils import setup_logging
----> 7 from colabfold.batch import get_queries, run, set_model_type
      8 
      9 from colabfold.colabfold import plot_protein

9 frames

/usr/local/lib/python3.7/dist-packages/tensorflow/python/client/pywrap_tf_session.py in <module>()
     17 # pylint: disable=invalid-import-order,g-bad-import-order, wildcard-import, unused-import
     18 from tensorflow.python import pywrap_tensorflow
---> 19 from tensorflow.python.client._pywrap_tf_session import *
     20 from tensorflow.python.client._pywrap_tf_session import _TF_SetTarget
     21 from tensorflow.python.client._pywrap_tf_session import _TF_SetConfig

ImportError: SystemError: <built-in method __contains__ of dict object at 0x7fee7e3ef190> returned a result with an error set


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What could be the problem?

Start with AlphaFold2.ipynb and reproduce the Run prediction cell using the reported multimer input. Inspect the notebook's installed NumPy and TensorFlow versions and the import path through colabfold.batch; done means identifying the incompatible dependency combination and recording a reproducible resolution for the notebook environment.