MIND-Lab
Dashboard - python error
- OCTIS version:
- Python version:
Description
runtime error
What I Did
from octis.models.LDA import LDA
cause this error
---------------------------------------------------------------------------
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
Hello! Could you provide more details on your environment? It's difficult for us to replicate the error otherwise. Thanks!
Silvia
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.
