How to efficiently process long tfidf vectors without memory error for tensorflow operations? Getting python killed error

Question

I\'m implementing kmeans clustering for text documents using tensorflow. I\'ve created TF-IDF vectors for each document. Since my documents are long each tfidf vector is of size