nvidia/cuda:10.1-base-ubuntu18.04

(I changed it in the settings)

This is odd because the screen grab point to CUDA 10.2 ...

and the machine I have is 10.2.

I also tried nvidia/cuda:10.2-base-ubuntu18.04 which is the latest

that is because my own machine has 10.2 (not the docker, the machine the agent is on)

that is because my own machine has 10.2 (not the docker, the machine the agent is on)

No that has nothing to do with it, the CUDA is inside the container. I'm referring to this image https://allegroai-trains.slack.com/archives/CTK20V944/p1593440299094400?thread_ts=1593437149.089400&cid=CTK20V944
Assuming this is the output from your code running inside the docker , it points to cuda version 10.2
Am I missing something ?

I really don't know, as you can see in my last screenshot, I've configured my base image to be 10.1

Hmmm could you attach the entire log?
Remove any info that you feel is too sensitive :)

On it

Here you go

By the way, just inspecting, the CUDA version on the output of nvidia-smi is matching the driver installed on the host, and not the container - look at the image below

But I'm naive enough to believe that 10.2 is compatible with 10.1 as it is a minor upgrade

LOL

😅

https://hub.docker.com/layers/nvidia/cuda/10.1-cudnn7-runtime-ubuntu18.04/images/sha256-963696628c9a0d27e9e5c11c5a588698ea22eeaf138cc9bff5368c189ff79968?context=explore
the docker image is missing the cudnn which is a must for TF to work 🙂

O_O

replace the base-docker-image and it should work fine 🙂

Let's try

but remember, it didnt work also with the default one (nvidia/cuda)

We might need to change the default base docker image, but I remember it was there... Let me check again

🤞

well cudnn is actually missing from the base image...

Lets see if this is really the issue

😄

It works!

That was the issue then

I guess not many tensorflowers running agents around here if this wasn't brought up already

glad I managed to help back in some way