And again thank you for the help with this.

Thank you!

I wasn’t getting my hopes up on storing tasks elsewhere :)

For the models & artifacts is there a parameter to change the default directory of saving and loading to something else?

Yes that is where they are

No error, just failure to upload it seems

This is post script completion on the client end

I upgraded to 1.9.3 and that didn’t change my error.

I created a new bucket with the name testbucket which didn’t change anything (I only updated this name in the output_uri parameter)

I tried curl on the minio:9000 which returns some html with AccessDenied as content

I tried curl on minio:9001 which returns the minio console html

And from the self-hosted ^

Yes I will give it a try and get back to you.

If a external storage is not specified it will use internal correct?

So if I give up on having specific folder paths for each project within onedrive I could just treat it as a alternative path for internal artifact storage.

I am able to capture clearml experiments on the clearml server running on the same machine as the minio.

Yes.

>>> print(json.dumps(config_obj.get("sdk"), indent=2))
{
  "storage": {
    "cache": {
      "default_base_dir": "~/.clearml/cache"
    },
    "direct_access": [
      {
        "url": "file://*"
      }
    ]
  },
  "metrics": {
    "file_history_size": 100,
    "matplotlib_untitled_history_size": 100,
    "images": {
      "format": "JPEG",
      "quality": 87,
      "subsampling": 0
    },
    "tensorboard_single_series_per_graph": false
  },
  "network": {
    "file_upload_retries":...

I’m going to give QEMU a try and see if it performs well enough for me

This answered my question, I ended up setting up minio running off of a external hard drive which backups to onedrive.

Though I am still having some problems getting the client to connect to minio (see recent thread)

For clarification, I want to store artifacts and models (maybe tasks too) like how the webui lets you specify a external storage s3 bucket when you make a folder, but with onedrive.

I.e in such a way I can still see them on the ui, but don’t necessarily have them stored on the server

Nevermind, 😆 as you thought, seems I was just needing a few more f5s on my dashboard. Thank you very much for this

As I’ve used it, rsync is akin to scp, but provides more control.

There are two things I want to accomplish with this:

• I want a reliable location to store my tasks without needing to worry about running out of space.
• I want to be able to access these stored tasks in the clearml ui when they are in this storage
  While rsync would let me backup the file server contents, like cp’ing them into a rclone of onedrive. I don’t think it would let me view tasks that I have put on onedrive.

With only those docker containers running I’m having this issue. In a few hours I’m going to test on a additional machine to confirm

From running it with the credentials I got with the non-self-hosted clearml instance

clearml-init
ClearML SDK setup process

Please create new clearml credentials through the settings page in your clearml-server web app (e.g. None )
Or create a free account at None

In settings page, press "Create new credentials", then press "Copy to clipboard".

Paste copied configuratio...

This error is thrown by a failed .get() function call on the StorageHandler object I looked at the ._ _ dict _ _.keys() parameter list of the StorageHandler, and I don't see anyway to access the dictionary directly.

and from minio

Bare with the spacing, I ocr’d this. The quotes and spacing is right

clearml-init
ClearML SDK setup process

Please create new clearml credentials through the settings page in your clearml-server web app (e.g. None )
Or create a free account at None

In settings page, press "Create new credentials", then press "Copy to clipboard".

Paste copied configuration here:
api {
web_server: http://:8080
api_server: http://:8008
file...

I’ll put in the actual copy paste later tonight thank you for the help

I placed the same key and secret in the global locations under s3{ } and this did not change anything

Found the problem. Some port rules between my server and client was blocking it. Some autossh forwarding solved my problem

credentials: [

specifies key/secret credentials to use when handli$

{
＃

This will apply to all buckets in this host ($

host: "...:9000”
key: "*********"
secret: "******************"
multipart: false
secure: false
}
]
}
boto3 {
pool_connections: 512
max_ multipart_concurrency: 16

Firewall rules:

The exact error I am getting is:

 line 1095, in output_uri
    raise ValueError("Could not get access credentials for '{}' "

Sorry for the delay on responding to this, I had some family craziness.