looks exactly what I needed! Thanks

thanks! I'll consider

indeed, i managed to make a docker run command to work with the fix you mentioned ( docker run --gpus '"device=1,2"' nvidia/cuda:9.0-base nvidia-smi ) but trains-agent just appends to --gpus device= and there is no way to make the quoting like this

Docker version 19.03.7, build 7141c199a2 on Linux, btw

what i can say is that when tasks are running locally the task name can have spaces, when executed remotely they cannot. I tired to remove the spaces in a remote execution and the artifacts are linked without problems (in both cases they are created just fine on GCS, it's just a matter of linking them in the Server UI)

task name, at the end, if it helps

yes, looks like. Is it possible?

yes

ok, i got the problem, it isn't really related to spaces or local vs remote. It is the presence of characters like ! . Indeed the artifacts on GCS are created converting ! to %21 and are tracked succesfully like this on the server. When the request is sent to actually download the artifacts or to see pictures in Debug samples the %21 is converted back to ! and there is no such object in GCS with ! . Hope it's clear. Not a big deal to me, can just avoid spe...

Sounds odd...
Whats the exact project/task name?
And what is the output_uri?

project_name="allegro_mnist_tree_git" , task_name="Run from CD + FS"
the output_uri isn't set, but the fileserver is set to the GCS location in trains.conf and indeed the artifacts and the metrics are correctly stored where supposed to be

thanks!
wrt 1 and 3: my bad, i had too high expectations for the default Docker image 🙂 , thought it was ready to run tensorflow out of the box, but apparently it isn't. I managed to run my rounds with another image.
wrt 2: yes, i already changed the package_manager to conda and added tensorflow-gpu as dependency, as i do in my local environment, but the environment that is created doesn't have access to the GPUs, as the other one does. How can i set the base python versi...

amazing and thanks! keep me posted

yes, in general, i want to control the behavior of git clone . Is it possible?

no, it's SUSE on a server, and bash

Are you working with venv or docker mode?

sorry, important info! Docker mode

Also notice that is you need all gpus you can pass 

--gpus all

yes, i know, but i need to use 2 out of 4 for a queue