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533 × Eureka!Sorry.. I still don't get it - when I'm launching an agent with the --docker
flag or with the --services-mode
flag, what is the difference? Can I use both flags? what does it mean? 🤔
after you create the pipeline object itself , can you get Task.current_task() ?
AgitatedDove14 no I can't... Just checked this. This is a huge problem for us, it used to work before and it just stopped working and I can't figure out why.
It's a problem for us because we made it a methodology of running some tasks under a pipeline task and saving summary iunfo to the pipeline task - but now since Task.current_task()
doesn't work on the pipeline object we have a serious problem
In my use case I'm using an agent on the same mahcine I'm developing, so pointing this env var to the same venv I'm using for development, will skip the venv creation process from teh task requirements?
checking and will let you know
that's the only line starting with 192.168
Thanks Martin, code runs as expected
could be 192.168.1.255?
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 remember, it didnt work also with the default one (nvidia/cuda)
I'll check the version tomorrow, about the current_task call, I tried before and after - same result
Maybe the case is that after start
/ start_locally
the reference to the pipeline task disappears somehow? O_O
I'm using ip address show
I guess not many tensorflowers running agents around here if this wasn't brought up already
okay lets go
but I can't seem to run docker-compose down
I assume we are talking about the IP I would find here right?
https://www.whatismyip.com/
AgitatedDove14 just so you'd know this is a severe problem that occurs from time to time and we can't explain why it happens... Just to remind, we are using a pipeline controller task, which at the end of the last execution gathers artifacts from all the children tasks and uploads a new artifact to the pipeline's task object. Then what happens is that Task.current_task()
returns None
for the pipeline's task...
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 😄
Thx DangerousDragonfly8 💪
nvidia/cuda:10.1-base-ubuntu18.04