AgitatedDove14 just a reminder if you missed this question 😄

btw my site packages is false - should it be true? You pasted that but I'm not sure what it should be, in the paste is false but you are asking about true

Here you go

its like ps + grep together 😄

Anyway I checked the base task, and this is what it has in installed packages (seems like it doesn't list all the real packages in the environment)

I prefer we debug on my machine (tell me what you want to check) than create a snippet

O_O

(I changed it in the settings)

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

Let's try

What does that mean? How can I access this data?

nvidia/cuda:10.1-base-ubuntu18.04

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

😄

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

Lets see if this is really the issue

It works!

🤞

On it

I showed you this phenomenon in the UI photos in the other thread

inference table is a pandas dataframe

and the machine I have is 10.2.

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

😅

That was the issue then

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

yep

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

Thanks very much

Now something else is failing, but I'm pretty sure its on my side now... So have a good day and see you in the next question 😄