Can I force it to output the static image?

CostlyOstrich36

I see it's a plotly plot, even though I report a matplotlib one

What do you mean by submodules?

She did not push, I told her she does not have to push before executing as trains figures out the diffs.
When she pushes - it works

and in the UI configuration I didn't understand where does permission management came into play

-_- why there isn't a link to source on the docs?

ClearML results page: `
Launching step: 2019-09-03_2021-01-25_choose_best
Parameters:
{***}
Configurations:
None
Overrides:
None
Launching step: 2019-10-23_2021-01-15_choose_best
Parameters:
{********}
Configurations:
None
Overrides:
None
Launching step: 2019-05-26_2020-12-26_choose_best
Parameters:
{******}
Configurations:
None
Overrides:
None
Launching step: 2019-07-15_2021-01-05_choose_best
Parameters:
{************}
Configurations:
None
Overrides:
None
Launching step...

Hey Jake thanks for responding

I'd go for

` from trains.utilities.pyhocon import ConfigFactory

config = ConfigFactory.parse_file(CONF_FILE_PATH) `

I mean usually it would read if cached_file: return cached_file

Do you need other part?

SuccessfulKoala55 ?

the Task object has a method called Task.execute_remotely

Look it up here:
https://allegro.ai/docs/task.html#trains.task.Task.execute_remotely

Okay SuccessfulKoala55 , problem solved! Indeed the problem was that there is not .git folder. I updated necessary things to make the checkout action get the actual repo and now it works

It wasn't really clear to me what "standalone" means, maybe it will be better to add to the error

Error: Standalone

(no .git folder found)

script detected 'tasks/hp_optimization.py', but no requirements provided

Legit, if you have a cached_file (i.e. exists and accessible), you can return it to the caller

I agree, so shouldn't it be if cached_file: return cached_file instead of if not cached_file: return cached_file

the level of configurability in this thing is one of the best I've seen

Oh I get it, I thought it is only a UI issue... but it actually doesn't send it O_O

I think you are talking about separate problems - the "WARNING DIFF IS TOO LARGE" is only a UI issue, that you can't see hte diff in the UI - correct me if I'm wrong with this

Maria seems to be saying that the execution FAILS when she has uncomitted changes, which is not the expected behavior - am I right maria?

Do you have any idea as to why does that happen SuccessfulKoala55

(I'm working with maria)

essentially, what maria says is when she has a script with uncomitted changes, when executing remotely, the script that actually runs on the remote machine is without the uncomitted changes

e.g.:
Her git status is clean, she makes some changes to script.py and executes it remotely. What gets executed remotely is the original script.py and not the modified version she has locally

I mean I don't get how all the pieces add up

I don't know, I'm the one asking the question 😄

To be clearer - how to I refrain from using the built in file-server altogether - and use MINIO for any storage need?

logger.report_table(title="Inference Data", series="Inference Values", iteration=0, table_plot=inference_table)

Yep, the trains server is basically a docker-compose based service.
All you have to do is change the ports in the docker-compose.yml file.

If you followed the instructions in the docs you should find that file in /opt/trains/docker-compose.yml and then you will see that there are multiple services ( apiserver , elasticsearch , redis etc.) and in each there might be a section called ports which then states the mapping of the ports.
The number on the left, is ...

Continuing on this discussion... What is the relationship between configuring files_server and all the rest we just talked about and the the default_output_uri ?

So how can I replace it with the MINIO?

found it here:
https://github.com/allegroai/trains/blob/98ea965e6d0a39019b31e5fec146ab55da0d52e8/trains/storage/manager.py#L41

Okay, so if my python script imports some other scripts I've written - I must use git?

What does that mean? How can I access this data?