Comments (3)
vermapratyush
commented on July 16, 2024
1
Adding -g to the generate.py worked. Thanks @markz-nyc
However, it gave 'cudaErrorMemoryAllocation: out of memory'. With a smaller image it worked fine as mentioned in #3
When AWS upgrade their instances hopefully it will be much better.
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mxchinegod
commented on July 16, 2024
On a Titan X it takes 1 second. This is a far superior card to what Amazon has available. Their cards are 2 generations old and have 1/3rd of the graphics memory. The GPU instances on AWS are their most limited, but I've been talking to them and they're working on it.
Not sure if you should be waiting 15 minutes but unfortunately if the code it working and it says CUDA is running, I don't know why that could be.
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markzhong88
commented on July 16, 2024
try add -g 0?
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Related Issues (20)
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