Di-Is
Di-Is
Hi @kyamagu! For your reference, by changing from static linking to dynamic linking of CUDA, the wheel size has been reduced to 63MB. It was dynamically linked with the shared...
> [CUDA backward compatibility is complicated](https://docs.nvidia.com/deploy/cuda-compatibility/index.html#:~:text=Drivers%20have%20always%20been%20backwards,R455%20(11.1)%20and%20beyond.), I believe that installing the appropriate Nvidia drivers is not a matter of package management but rather a part of system setup, and the...
> You can build a source package for your environment, but that wheel will not be compatible with other environments. If the following conditions are met, Faiss installed from the...
Hi @JuanVargas I also encountered a similar error while training an image classification model. Below is a list of measures that were effective in suppressing the error in my environment:...
@ischaojie Thank you for checking. However, "tensorflow[and-cuda]" seems to be installed as "tensorflow" without extra. The `requirements.lock` generated as a result of `rye add` is missing library dependencies such as...
@maffoo I signed the CLA! Hopefully this PR will be reviewed and finally merged.
@yongtang Please review the changes and allow for CI.
The code has been changed to match the latest main.
The problem still exists in version 3.0.0.
@mdouze Thanks for the reply! In FAISS v1.7.4, libfaiss_gpu.a was not generated and libfaiss.a contained both CPU and GPU objects. Has the specification changed in FAISS v1.8.0? Also, it appears...