Fedomer

Hello @merlinND , thank's you I did it. I've created my container using the tutorial: `podman container create --name Sionna --device nvidia.com/gpu=all -it -p 8888:8888 --privileged=true --env NVIDIA_DRIVER_CAPABILITIES=graphics,compute,utility localhost/sionna:latest` NB:...

Hello @merlinND , I've done it but it did't work! I'm still investigating . I will try on a different hardware machine with different OS (Ubuntu 20.04, now I use...

Hi @gmarcusm thanks, `# python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))" 2024-10-07 16:48:56.624726: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has...

**Upgraded news** Docker container seems load fine sionna package (with cuda) in a computer with Ubuntu 20.04LTS and Nvidia A5000 card with driver: `| NVIDIA-SMI 470.256.02 Driver Version: 470.256.02 CUDA...

Hello @csankar69 , for the moment I'm using Docker because I Think it's a problem about GPU podman management or a bad configuration for Sionna. I'm waiting a new Server...

Same issue on a workstation with 1080Ti 11Gb: ```py scene = load_scene() # Load empty scene scene.tx_array = PlanarArray(num_rows=1, num_cols=1, vertical_spacing=0.5, # relative to wavelength horizontal_spacing=0.5, # relative to wavelength...

it's seem that with 2080Ti with 11 Gb it works so the the 1080Ti 11Gb card it's to old for sionna.

This will be very important funtionality! What about the merge?

Hello Sionnateams and Mr @guillaume-larue thank for your effort Sorry but if you create a shape like this in mitsuba it works but: ```py import mitsuba as mi # Inizializza...

Hello, 1. install the last sionna (0.19) 2. Control the slashes in the path (you are in windows it seems!!!!) 3. create your scene with the video tutorial on YouTUBE....