I have a look-up object, specifically a pre-trained word2vec model from gensim.models.keyedvectors.Word2VecKeyedVectors
. I need to do some data pre-processing and I am using multi-processing for the same. Is there a way in which all of my processes can use the object from the same memory location instead of each process loading the object into its own memory?
Yes, here are two options:
Yes, if:
.save()
method, and the relevant large-arrays of vectors are clearly separate .npy
files.load()
method, with the mmap
optionSee this prior answer for an overview of the steps/concerns of a similar need.
(The concern & extra steps listed there to avoid breaking the mmap-sharing – by performing manual patch-ups of the norm
properties – should no longer be necessary in Gensim 4.0.0, currently available only as a prerelease version.)
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