tensorflow: Not creating XLA devices, tf_xla_enable_xla_devices not set

Question

I run drive.py program from Code Project | A Complete guide to self driving car

but when i start program i have error:

Not creating XLA devices, tf_xla_enable_xla_devices not set

Does anyone know how I can fix this problem? What should I download or reinstall?

I use:

Python 3.8.7

CUDA 11.0

tensorflow 2.4.1 On http://0.0.0.0:4567/ of course I see nothing

Answer 1

Please add the following at the very beginning of your script:

os.environ['TF_XLA_FLAGS'] = '--tf_xla_enable_xla_devices'

Answer 2

Alternatively, one can set the environment variable in Windows system settings: TF_XLA_FLAGS = --tf_xla_enable_xla_devices.

According to this discussion, this helps use the GPU much more efficiently than simply ignoring the info.

Answer 3

Usually this message should not interfere.

Please try

import tensorflow as tf
print("GPUs: ", len(tf.config.experimental.list_physical_devices('GPU')))

to check that they are detected.

If you need it, please check the release notes at github:

XLA:CPU and XLA:GPU devices are no longer registered by default. Use TF_XLA_FLAGS=--tf_xla_enable_xla_devices if you really need them, but this flag will eventually be removed in subsequent releases.