Comments (2)
Hello. I had the same problem, the cuda version in my docker is 10.0. However, I checked the cog.yaml, the cuda version should be '11.0' and the python version should be '3.7.9'. It seems that I faced the same problem as you, which is the actual version in cuda is lower than it should be. Do you know how to solve this?
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too slow, I ran it without the container and used cuda 12.1 ,pytorch 2.1.0. The time of the camel iterations was about 3*40 min using 4090 ...
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