Comments (3)
This is resolved. Refer clab/dynet#1652
from ocr-post-correction.
@vahini01 @shrutirij I was able to resolve the CUDA 11 installation issue by following the instructions you shared, but I am now getting a run-time error that CUDA couldn't allocate any memory upfront at all.
Stack-trace referenced here.
Running training on CPU is taking over 18 hours for 1 epoch and I'd really like to be able to use my GPUs! If you could share any insights, that would be much appreciated!
from ocr-post-correction.
Just a weird observation in case someone lands on this page - I asked a friend to try these steps with an instance containing K80 GPUs (I was using an instance with Tesla V100s) and it worked out for them, no run-time errors. CUDA version is the same (11.1), python version they were using was 3.7 while I was using 3.8.
from ocr-post-correction.
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