Tensorflow Complains "successful NUMA node read from SysFS had negative value (-1)"

To test GPU support for Tensorflow, we should run the following according to the manual of Tensorflow

python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))"

However, in my case, I saw an annoying message:

2023-02-07 14:40:01.345350: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero

A Stack Overflow discussion has an excellent explanation about this. I have a single CPU and a single GPU installed on the system. The system is a Ubuntu 20.04 LTS. Following the advice given over there, the following command gets rid of the message,

su -c "echo 0 | tee /sys/module/nvidia/drivers/pci:nvidia/*/numa_node"

That is sweet!

Reference

1. https://www.tensorflow.org/install/pip#linux_setup
2. https://stackoverflow.com/questions/44232898/memoryerror-in-tensorflow-and-successful-numa-node-read-from-sysfs-had-negativ

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