ImportError: cannot import name '_l2_norm' from 'gensim.models.keyedvectors

[Pratik]

ImportError Traceback (most recent call last)

in ()
----> 1 from fse import Vectors, Average, IndexedList
2 vecs = Vectors.from_pretrained("fasttext-wiki-news-subwords-300")
3 model = Average(vecs)

3 frames

/usr/local/lib/python3.7/dist-packages/fse/models/base_s2v.py in ()
40
41 from gensim.models.base_any2vec import BaseWordEmbeddingsModel
---> 42 from gensim.models.keyedvectors import BaseKeyedVectors, FastTextKeyedVectors, _l2_norm
43 from gensim.utils import SaveLoad
44 from gensim.matutils import zeros_aligned

ImportError: cannot import name '_l2_norm' from 'gensim.models.keyedvectors' (/usr/local/lib/python3.7/dist-packages/gensim/models/keyedvectors.py)

[Alessandro Muzzi]

Hi, I don't know which version of Gensim you are using but I can tell you that in versions >=4 the _l2_norm function has been removed from keyedvectors.py.
You can either choose to

• edit your locally downloaded version of Gensim replacing _l2_norm with linalg.norm after adding linalg to the numpy import in the file's imports section
• update your fse with the porting I just made for Gensim >=4 (which also solves this problem) by executing the command

pip install -U git+https://github.com/AleMuzzi/Fast_Sentence_Embeddings

works both as an upgrade and as a new version, pull request is waiting for approval (#65)

[Oliver Borchers]

Should be fixed in v1.0.0