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from octis.models.LDA import LDA
cause this error
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ValueError Traceback (most recent call last)
[<ipython-input-54-5a8917c9d1ca>](https://localhost:8080/#) in <module>
----> 1 import octis.models.LDA
6 frames
/usr/local/lib/python3.8/dist-packages/gensim/_matutils.pyx in init gensim._matutils()
ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject
The text was updated successfully, but these errors were encountered:
Hello! Could you provide more details on your environment? It's difficult for us to replicate the error otherwise. Thanks!
Silvia
Hi! Silvia.
When I was training CTM on my computer, I encountered "Unable to allocate 26.0 GiB for an array with shape (55776, 62456) and data type int64". I thought it might be a GPU memory problem, so I used colab. I encountered the same problem when I ran the project on colab.
What I Did
Based on stackoverflow's search results, I tried to reinstall numpy(1.19.1 and 1.20.3) and gensim (3.5.0, 3.6.0 and 4.1.2). It doesn't work.
Description
runtime error
What I Did
The text was updated successfully, but these errors were encountered: