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matt-peters avatar matt-peters commented on July 21, 2024

I haven't run into a memory leak but maybe you've hit an edge case. Have you split your training data into many different files? The training code loads each entire file into memory and converts to character ids so it's possible a 1.3 GB text file would expand to 128 GB of memory.

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zsy23 avatar zsy23 commented on July 21, 2024

Thank you for reply. I modify some part of code to train on chinese corpus, then run the code and find the code forever loop in the 'While True' loop in the bilm/data.py:_get_batch():line 263. Maybe because i modify some important detail, i will check it.

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leon-cas avatar leon-cas commented on July 21, 2024

@zsy23 hi, did you fix this problem? i met the same question as you did.

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