SmugDolphin23 Sorry to bother again, output_uri should be a URI to S3 endpoint or clear ml fileserver? If it's not provided artifacts are stored locally, right?

SmugDolphin23

SmugDolphin23 I actually don't know where to get my region for the creds to S3 I am using. From what I figured, I have to plug in my sk, ak and bucket into credentials in agent and output URI must be my S3 endpoint — complete URI with protocol. Is it correct?

Hi again, BoredBat47 ! I actually took a closer look at this. The config file should look like this:

        s3 {
            key: "KEY"
            secret: "SECRET"
            use_credentials_chain: false

            credentials: [
                {
                    host: "myendpoint:443"  # no http(s):// and no s3:// prefix, also no bucket name
                    key: "KEY"
                    secret: "SECRET"
                    secure: true  # if https
                },
            ]
        }
        default_output_uri: "

"  # notice the s3:// prefix (not http(s))

The region should be optional, but try setting it as well if it doesn't work

You need to specify it. Or you could specify this in your config: https://github.com/allegroai/clearml/blob/54c601eea2f9981bb8e360a8203bc36696a55cfd/clearml/config/default/sdk.conf#L164

SmugDolphin23 Got it. Now I am a bit confused about region parameter in s3 section. Amazon docs say that region could be a regular URL with protocol like https://etc.etc which my endpoint actually is. I plugged it in s3 section in clearml.conf. Should it stay that way?

SmugDolphin23 Hello, again! I tried to fill the values by your example. Still no luck. I noticed console log on my task says that I have certificate error. I disabled it in api section in clearml.conf like this: verify_certificate = false and I still have SSL error. Any clues why would that be?

it's pretty much the same

Oh, it's configured o agent machine, got you

` from random import random
from clearml import Task, TaskTypes

args = {}
task: Task = Task.init(
project_name="My Proj",
task_name='Sample task',
task_type=TaskTypes.inference,
auto_connect_frameworks=False
)
task.connect(args)
task.execute_remotely(queue_name="default")
value = random()
task.get_logger().report_single_value(name="sample_value", value=value)
with open("some_artifact.txt", "w") as f:
f.write(f"Some random value: {value}\n")
task.upload_artifact(name="test_artifact", artifact_object="some_artifact.txt") `

May I know where to set the cert to in env variable?