I tried your suggestion building tensorflow from source. When I google, I see a lot of questions by people who are stuck with the same issue, so it would be good to have a solid article with instructions. I found this link with instructions how to build a Linux kernel Compiling Your Own Linux Kernel for Windows? WSL 2 – MicroHobbyīut the article seems rather old, is not specifically for Ubuntu and, most importantly, it doesn’t tell me how to enable NUMA. Are there instructions anywhere to get or build a kernel with NUMA enabled? I’m using the one that got installed by default by WSL2 (Ubuntu 22.04. While it seems to use tensorflow alright, this tells me my kernel may not have NUMA enabled. Python3 -c “import tensorflow as tf print(tf.config.list_physical_devices(‘GPU’))” Hoping I could run tensorflow on my GPU without those, I ran the test command: I tried to resolve it, but it went down a rabbit-hole of mutually incompatible versions for a host of modules. It’s far from clean, reporting mutually exclusive library versions for numpy and other modules. I followed the instructions from this link: Install TensorFlow with pip
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