MemoryError when using ldaseqmodel.doc_topics

I am trying to create a matrix/data frame with the topic distribution over documents for all documents, since these are needed to find what documents have the highest prevalence of a given topic. However, I get a MemoryError when I use ldaseqmodel.doc_topics().

I am using a list comprehension to get the topic distributions for each document.

prop = [ldaseq.doc_topics(n) for n in np.arange(start,end,1)]

I get the following error:

 File "/home/jnava/utilities/anaconda3/lib/python3.7/site-packages/gensim/models/ldaseqmodel.py", line 575, in doc_topics
    doc_topic = np.copy(self.gammas)
 File "/home/jnava/utilities/anaconda3/lib/python3.7/site-packages/numpy/lib/function_base.py", line 733, in copy
    return array(a, order=order, copy=True)
MemoryError 

I have broken up the task into chunks such that I am only doing a batch of n documents in a list comprehension, say n=500, instead of all documents in a single list comprehension. This works sometimes, but not with all data sets/models.

I have also tried a for loop and get the same error.