During the process of experiment, I install all of them in one machine. Of course, I used "localhost" for this case and it's not working.
I'm assuming the reason it fails is that the docker network is Only available for the specific docker compose. This means when you spin Another docker compose they do not share the same names. Just replace with host name or IP it should work. Notice this has nothing to do with clearml or serving these are docker network configurations
When I server model, I have changed the host: api_server, web_server, files_server = docker-name. what wrong with this config? How should I change? Thanks
Hi, what is host? Can you write this for me?
Hi @<1686547375457308672:profile|VastLobster56>
where are you getting stuck? are you getting any errors ?
The main issue is the model itself is stored on your files server that is/was configured to " None " this means that you cannot access it from anywhere other than tha actual machine (i.e. inside a container this is not accessible).
Change your configuration (i.e. clearml.conf) files_server: http://<Local_IP>:8081
Then rerun the example (importantly, re run the training so a new model will be generated and registered under the new address, with the IP). should work after that
Hi @<1582542029752111104:profile|GorgeousWoodpecker69> Do you have a problem like me?
Hi, what is host?
The IP of the machine running the ClearML server
Wait, @<1686547375457308672:profile|VastLobster56> per your config clearml-fileserver
who sets this domain name? could it be that it is only on our host machine? you can quickly test by running any docker on your machine and running ping clearml-fileserver
from the docker itself.
also your log showed "could not download None ..." , I would expect it to be None ...
, no?
Of course, I used "localhost"
Do not use "localhost" use your IP then it would be registered with a URL that points to the IP and then it will work
It is not impossible localhost, so what I should write in there?
docker net work, I put all container into: clearml_backend, clearml-frontend