both the SDK and the Agent use clearml.conf
ChubbyLouse32 does server URL configured in your clearml.conf
file start with http://
or https://
?
And how is your clearml.conf
configured?
So what is the difference ? both running from the same machine ?
This makes no sense to me 😞
Both are reading the exact same file, and using the same session / flow ...
Maybe there is an error with the "verify_certificate" on the agent ?
yes i can communicate with the server, i managed to put tasks in the queue and retrieve them as well as running tasks with metrics reporting
Through the UI or python code ?
sdk.development.store_uncommitted_code_diff: false api.verify_certificate : false api { web_server: https://<...>.com:8080 api_server: https://<...>.com:8008 files_server: https://<...>.com:8081 credentials { "access_key" = "OMF..." "secret_key" = "oox..." } }
Im not sure what exactly your asking, someone else configured the server, im just using it
` sdk.development.store_uncommitted_code_diff: false
api.verify_certificate : false
api {
web_server: <ADDRESS>:8080
api_server: <ADDRESS>:8008
files_server: <ADDRESS>:8081
credentials {
"access_key" = "OMF..."
"secret_key" = "oox..."
}
} `
Hi ChubbyLouse32 , how did you configure the ClearML Server address?
Okay found the issue, to disable SSL verification global add the following env variable:CLEARML_API_HOST_VERIFY_CERT=0
(I will make sure we fix the actual issue with the config file)
Or, what appears in <here is my internal clearml server>
? I don't need the exact IP, of course, but is it http
? https
?
ChubbyLouse32 could it be the configuration file is not passed to the agent machine itself ?
(were you able to run anything against this internal server? I mean to connect to it from code, clearml/cleamrl-agent) ?
ChubbyLouse32 and this works when running python code and not when the agent is running ?
On the same machine ?
where address is our server adderss starting with https://.. etc
yes i can communicate with the server, i managed to put tasks in the queue and retrieve them as well as running tasks with metrics reporting
i dont have agent configuration file if this might be the problem
all the machines share the same file system so i managed to do all the things i mentioned from different machines on the system