Dear Members,
I have a Gigabyte GeForce RTX 3090 Turbo (24GB, 10496 Cores), (2x HDMI, 2x DP) installed on a 4 GPU slot server having a AMD EPYC 7302 (3,00 GHz, 16-Core, 128 MB) cpu.
Currently I am trying to run a python3 keras script (using tensorflow) but even when running a minimum script like
import tensorflow as tf
print("Num GPUs Available: ", len(tf.config.list_physical_devices(‘GPU’)))
this leads to the following Error:
The TensorFlow library was compiled to use SSE4.1 instructions, but these aren’t available on your machine. Aborted
It seems the AMD CPU has no support for SSE4.1 and tensorflow needs to be run on a recent Intel CPU.
Noone told us that before and now the hardware is set up and we cant change it anymore.
Because of time pressure I need to find a most simple workaround to make our scripts run flawlessly.
Further details:
- The host uses PCI passthrough to make the GPU available from within a Debian 11 VM (Works, CUDA 11.5 installed and working)
- Python3 with venv used.
requirements.txt contains:
keras-nightly==2.5.0.dev2021032900
Keras-Preprocessing==1.1.2
tensorboard==2.6.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.0
tensorflow==2.5.0
tensorflow-estimator==2.5.0
tensorflow-gpu==2.5.0
tensorflow-gpu-estimator==2.3.0
The examples are working on a Win10 machine using a Intel I7 CPU and Gforce GTX1080 mobile (so the code is ok).
I really need help on this!
Yours faithfully
Chris