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OutrageousGrasshopper93
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5 Questions, 15 Answers
  Active since 10 January 2023
  Last activity one year ago

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15 × Eureka!
0 Votes
3 Answers
426 Views
0 Votes 3 Answers 426 Views
hi all, I have a broad question on how a trains-agent deals with the environment, mainly the CUDA libraries. On my local machine i use conda and i managed to...
3 years ago
0 Votes
5 Answers
412 Views
0 Votes 5 Answers 412 Views
hi all, there is any way to set the flags used for git clone when executed inside a Docker container (or wherever, i guess 🙂 ). I see https://github.com/all...
3 years ago
0 Votes
3 Answers
421 Views
0 Votes 3 Answers 421 Views
hi all! I am quite new with Trains and I was wondering if it's possible to fully automate the creation of Tasks in order to have them always run on separate ...
3 years ago
0 Votes
11 Answers
424 Views
0 Votes 11 Answers 424 Views
hi all! I have a couple of things that are not completely clear to me, hope you can help me to sort them out. i managed to configure the File Server on GCS b...
3 years ago
0 Votes
15 Answers
411 Views
0 Votes 15 Answers 411 Views
hi, i went through this Slack's history and the problem already popped up a couple of times but doesn't look like solved. On my machine i currently have 4 GP...
3 years ago
0 Hi All, I Have A Broad Question On How A

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...

3 years ago
0 Hi All, There Is Any Way To Set The Flags Used For

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

3 years ago
0 Hi All! I Have A Couple Of Things That Are Not Completely Clear To Me, Hope You Can Help Me To Sort Them Out.

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...

3 years ago
0 Hi All! I Have A Couple Of Things That Are Not Completely Clear To Me, Hope You Can Help Me To Sort Them Out.

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

3 years ago
0 Hi, I Went Through This Slack'S History And The Problem Already Popped Up A Couple Of Times But Doesn'T Look Like Solved. On My Machine I Currently Have 4 Gpus, No Problems If I Want To Allocate All 4 Or Just 1 Using

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

3 years ago
0 Hi All! I Have A Couple Of Things That Are Not Completely Clear To Me, Hope You Can Help Me To Sort Them Out.

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)

3 years ago
0 Hi, I Went Through This Slack'S History And The Problem Already Popped Up A Couple Of Times But Doesn'T Look Like Solved. On My Machine I Currently Have 4 Gpus, No Problems If I Want To Allocate All 4 Or Just 1 Using

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

3 years ago
3 years ago