Please refer to here None
The doc need to be a bit clearer: one require a path and not just true/false
ah I see. thank you very much!
trying export CLEARML_AGENT_SKIP_PIP_VENV_INSTALL=$(which python)
but I still see Environment setup completed successfully
(it is printed after Running task id )
it still takes a full 3 minutes between task pulled by worker until Running task id
is this normal? What is happening in these few minutes (besides a git pull / switch)?
you should be able to see int the Console tab that show what is happening
normally when new package need to be install, it shows up in the Console tab
minute of silence between first two msgs and then two more mins until a flood of logs. Basically 3 mins total before this task (which does almost nothing - just using it for testing) starts.
hard to see with your croppout here an there ...
the timestamps were all that mattered in those.
So "Using env ..." take minutes without any output ?
apologies - just trying to keep sensitive data out of screenshot
oh yes. Using env until the next message is 2 minutes.
i just need to understand what I should be expecting. I thought from putting it into queue in UI to "running my code remotely" (esp with packages preloaded) should be fairly fast turnaround - certainly not three minutes... i'll have to change my whole pipeline design if this is the case)
in my case using self-hosted and agent inside a docker container:
47:45 : taks foo pulled
[ git clone, pip install, check that all requirements satisfied, and nothing is downloaded]
48:16 : start training
okay that's a similar setup to mine... that's interesting.
much more in line with my expectation.
are you on clearml agent 1.8.0?
(im noticing sometimes im just missing logs such as "Running task id.." entirely)
1.12.2 because some bug that make fastai lag 2x
1.8.1rc2 because it fix an annoying git clone bug
i was having a ton of git clone issues - disabled caching entirely... wonder if that may help too.
tysm for your help! will report back soon.
ha! yup. that was it exactly. I posted about it too None lol
Hi Guys, just curious here, what's was the final issue?
Also out of curiosity, what does that mean? "1.12.2 because some bug that make fastai lag 2x" ?
I'm just working on speeding up the time from "queue experiment" to "my code actually runs remotely" - as of yesterday things would sit for many minutes at a time. trying to see if venv is the culprit .
yeah, still noticing that it can be multiple minutes before something starts...
like... what is happening in this time (besides a git clone), now that I set both
export CLEARML_AGENT_SKIP_PYTHON_ENV_INSTALL=true
export CLEARML_AGENT_SKIP_PIP_VENV_INSTALL=$(which python)
update: it's now been six mins and the task still isn't done. this should have run through in like a minute total end-to-end
sometimes I get "lucky" and see something more like what I expect... total experiment time < 1 min (and I have evidence of this happening. logs start-to-finish in sub-minute). But then other times the same task will take 5-10 minutes.
same worker, same queue, just one worker serving it... I am so utterly perplexed by the variation in how long things take. my clearml API server is running on a beefy 32 core machine and not much else is happening right now...
fwiw - i'm starting to wonder if there's a difference between me "resetting the task" vs cloning it.
yeah... still seeing variances from 1m to 10m for the same task. been testing parallel execution for hours.
@<1689446563463565312:profile|SmallTurkey79> could you attach the full log of the Task?
also I would recommend "export CLEARML_AGENT_SKIP_PYTHON_ENV_INSTALL=1" (not true )
Usually binary env vars are 0/1
(I can see that the docs here: None
never mention it, I'll ask them to add that)
of what task? i'm running lots of them and benchmarking execution times. would you like to see a best case or worst case scenario? (ive kept some experiments for each).
and yeah, in those docs you just linked, "boolean" vars like CLEARML_AGENT_GIT_CLONE_VERBOSE explicitly say true so I ended up trying that pattern. but originally i did try 1. let me go back to that now. thank you.
overall I've seen some improvements in execution time using the suggestions in this thread (tysm!) - the preinstalled libs seem to be helping, though some things are still just unbearably slow (one of my larger pipelines took > 1 h to generate a DAG before even starting...).
but pretty reliably some proportion of tasks still just take a much longer time. 1m - 10m is a variance i'd really like to understand.
of what task? i'm running lots of them and benchmarking
If you are skipping every installation it should be the same
because if you set CLEARML_AGENT_SKIP_PYTHON_ENV_INSTALL=1 it will not install Anything at all
This is why it's odd to me...
wdyt?
BTW: you can also just add -e " CLEARML_AGENT_SKIP_PYTHON_ENV_INSTALL=1" to the docker args (under the Execution tab) to override the setting of the docker.
you can also add " export; " to the docker startup bash script section (do not add "#/bin/bash" , just the actual script) to get a list of all the environment variables inside the docker, just in case