![]() Support for the following compute capabilities are deprecated in the CUDA Toolkit:.Support for Kepler sm_30 and sm_32 architecture based products is dropped.Support for Red Hat Enterprise Linux (RHEL) and CentOS 6.x is dropped.We recommend that developers employ alternative solutions to these features in their software. Deprecated features still work in the current release, but their documentation may have been removed, and they will become officially unsupported in a future release. The following features are deprecated or dropped in the current release of the CUDA software. Searching for “cudatoolkit supporting sm_35” I get at : 2.5. If you want to use the GeForce GT 710 GPU with PyTorch, please check the instructions at #Nvidia gpu download gt 635 installThe current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_61 sm_70 sm_75 compute_37. GeForce GT 710 with CUDA capability sm_35 is not compatible with the current PyTorch installation. Running a pytorch example outputs: cuda:0Ĭ:\Users\Admin\anaconda3\envs\ml\lib\site-packages\torch\cuda\_init_.py:125: UserWarning: | GPU GI CI PID Type Process name GPU Memory | ![]() | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. ![]() | GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. I have support for CUDA Version 11.0 according to nvidia.smi, and I could can install CUDA toolkit 11.0, see nvcc -version. How can I find out the Compute Compatibility then of my Asus GeForce GT 710? I can now only hope that it is at least 3.0. ![]()
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