![]() ![]() ![]() But after that when I again tried the same thing from another terminal, it failed to recognise any GPU. It failed with this error : failed to synchronize cuda stream CUDA_LAUNCH_ERROR (the error code was something like that, I forgot to note it). AFter that I tried to do a simple matrix multiplication on the GPU. Previously when I was trying to list all the physical devices using tf.config.list_physical_devices() it was identifying one cpu and one gpu. | 0 N/A N/A 5659 G /usr/lib/firefox/firefox 0MiB | | 0 N/A N/A 5443 G /usr/lib/firefox/firefox 0MiB | | 0 N/A N/A 1830 G /usr/bin/gnome-shell 68MiB | | GPU GI CI PID Type Process name GPU Memory | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. My Tensorflow version is 2.4.1 and I am using Cuda version 11.2. ![]()
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