Thanks a lot I'll check how to do this correctly

I have 6 plots with one or 2 metrics. But I have a lot of debug samples.

Something like 100 epoch with a least more than 100 images par epoch reported.

AgitatedDove14 This is what I expected for the community version. It would really nice to have a read-only link. My use case is when I have a merge request for a model modification I need to provide several informations for our Quality Management System one is to show that the experiment is a success and the model has some improvement over the previous iteration. Obviously I don't want the reviewer to see all my failed experiments 😉 . So yes it should be really nice to have read-only ...

Issue open on the clearml-server github https://github.com/allegroai/clearml-server/issues/89 . Thanks for your help.

SuccessfulKoala55 feel free to roast my errors.

Oh right click! Nice, I don't even right click on web page usually, that pretty nice. Thanks.

Oh sorry, I was thinking about ignite (I don't know why) not trains. The only way I know is to use a different name when saving. I personnaly use f"{file_name}_{epoch}_{iteration}" .

Well, I use ignite and trains-server with a logging similar to ignite.contrib.handlers so I will be very happy to test this integration.

I have made some changes in the code
logger.clearml_logger.report_image( self.tag, f"{self.tag}_{epoch:0{pad}d}", iteration=iteration, image=image ) `` epoch range is 0-150 iteration range is 0-100And the error is still there
` General data error (TransportError(503, 'search_phase_execution_exception', 'Trying to create too many buckets. Must be less than or equal to: [10000] but was [10001]. This limit can be set by changing the [search.max_buckets] clus...

Ok fine.

Even simpler than a github, this code reproduce the issues I have.

It works well I just need to use the task.id for the task='' I tough I could use the task.name it's perfect thanks AgitatedDove14 .

Is it possible to get all the iteration for one specific metric ? Lets say I have this metric logged. Will I be able to retrieve these series ?

I'll try to make a code that reproduce this behavior and post it on github is it fine ? that way you could check if I'm the problem (which is really likely) 😛

Wow thanks a lot, I'll test it. I didn't even search in trains_agent documentation.

I call it like that:
logger.clearml_logger.report_image( self.tag, f"{self.tag}_{iteration:0{pad}d}", epoch, image=image ) `` self.tag is train or valid . iteration is an int for the minibatch in the epoch

PompousBeetle71 , check the n_saved parameter on the ModelCheckpoint creation.

Is it better on clearml or clearml-server ?

I made the experiment on the allegroai demo server and it's the same https://demoapp.trains.allegro.ai/projects/fcf3f3fb1013434eb2001870990e5e94/experiments/6ed32a2b5a094f2da47e6967bba1ebd0/output/debugImages . I really think it's a technical limitation to not display all the image am I right ?

SuccessfulKoala55 Also I see that the images name are not ordered naturaly it's display like this image_name_1 , image_name_10 , image_name_2 , and so on, is it possible to have a natural order to see image_name_1 , image_name_2 , etc... ?

I'm in a process to setup a trains stack for my projects and so far it work great thank for this awesome work.

It is in lexicographical ordering as you said.

Is this screenshot better?

ok I'll go check

Ok thanks

Is it somewhere in the documentation ?

🙇

Yes this will work I think.

You need to change a setting in your host machine to make the elasticsearch working.