SarcasticSquirrel56 , you're right. I think you can use the following setting in ~/clearml.conf
: sdk.development.default_output_uri: <S3_BUCKET>
. Tell me if that works
VexedCat68 I think this will be right up your alley π
https://github.com/allegroai/clearml/blob/master/examples/reporting/hyper_parameters.py#L43
How did you run the original experiment? What version of ClearML are you using?
I think it depends on your code and the pipeline setup. You can also cache steps - avoiding the entire need to worry about artifacts.
Hi Dina, can you show what you have in the "uncommitted changes" section? Also, is this part of a git repository or is it a standalone script?
EnviousPanda91 , which framework isn't being logged? Can you provide a small code snippet?
Hi @<1595225620323766272:profile|VivaciousElk3> , you can set it with env variables - None
The ones that you're looking for are:
CLEARML_AGENT_SKIP_PIP_VENV_INSTALL
CLEARML_AGENT_SKIP_PYTHON_ENV_INSTALL
Click on step_one and on Full details
export
is a linux command, not windows, is what I mean
Then add a screenshot of the info section
Seems stuck. Can you try restarting the agent? Also how did you run the agent?
Are you running a bash terminal in windows?
If you're running on a windows machine, the same syntax such as export
won't work. I'd suggest on checking how to manipulate env variables in windows
You added two logs, one with docker the other without. Each stopped on a different step. Is that consistent? What OS is the agent running on? Also what is the command you're using to run the agent?
Can you try running it native on windows?
What windows/processor is on that machine? What version of python are you using?
Hi @<1710827340621156352:profile|HungryFrog27> , what seems to be the issue?
Hi @<1775332375794814976:profile|WhimsicalChimpanzee6> , the webUI uses the API under the hood. You can trigger and a pipeline via the webUI and see what happens in developer tools (F12)
Hi @<1613344994104446976:profile|FancyOtter74> , you can use Task.mark_failed
for this - None
Hi @<1774969989762125824:profile|GrittyBee6> , I think you can add a PR with the auto patching π
Can youΒ curl
http://10.3.19.183:8008 Β from your workstation?
AdventurousButterfly15 , please upgrade to the latest agent version to see if this continues
Hi @<1643060831954407424:profile|ScrawnyMole16> , you can export your report to PDF and share it with your colleagues π
Hi @<1523701295830011904:profile|CluelessFlamingo93> , when running remotely the agent assumes it will be a different machine. I think the best way to solve this is to add utils to your repository and import it from there during code execution.
What do you think?
Hi CluelessFlamingo93 , I see the following traceback in your log:
`
1672308338689 bfm:0 DEBUG βββββββββββββββΈ 0.7/1.8 GB 5.9 MB/s eta 0:03:16
ERROR: Exception:
Traceback (most recent call last):
File "/home/bat/.clearml/venvs-builds/3.8/lib/python3.8/site-packages/pip/_vendor/urllib3/response.py", line 437, in _error_catcher
yield
File "/home/bat/.clearml/venvs-builds/3.8/lib/python3.8/site-packages/pip/_vendor/urllib3/response.py", line 560, in read
...
Regarding controlling the timeout - I think this is more of a pip configuration
Hi @<1691983266761936896:profile|AstonishingOx62> , you can use set_base_docker
in the code to specify it per experiment - None