From the looks of this example this should be connected automatically actually
https://github.com/allegroai/clearml/blob/master/examples/frameworks/hydra/hydra_example.py

Same, it also returns a ProxyDictPostWrite , which is not supported by OmegaConf.create

I see the issue. SuccessfulKoala55 , what do you think?

This one doesn’t have _to_dict unfortunately

I have a custom way of reading the config file

Yea, the config is not appearing in the webUI anymore with this method 😞

Hey SuccessfulKoala55 , unfortunately this doesn’t work, because the dict contains others dicts, and only the first level dict becomes a dict, the inner dicts still are ProxyDictPostWrite and will make OmegaConf.create fail

Hey JitteryCoyote63 , the ProxyDictPostWrite object is derived from dict - can't you just do config = OmegaConf.create(dict(task.connect_configuration(config_dict))) ?

Yes that’s what I did initially, but eventually I decided that it’s too much complexity added for nothing really, I’d rather drop omegaconf and if one day clearml supports it out of the box take advantage of it

Doing it the other way around works:
` cfg = OmegaConf.create(read_yaml(conf_yaml_path))
config = task.connect(cfg)
type(config)

<class 'omegaconf.dictconfig.DictConfig'> `

erf, I have the same problem with ProxyDictPreWrite 😄 What is the use case of this one ?

ProxyDictPostWrite._to_dict() will recursively convert to dict and OmegaConf will not complain then

So I need to have this merging of small configuration files to build the bigger one

This allows me to inject yaml files into other yaml files

I ended up dropping omegaconf altogether

👍

Otherwise I can try loading the file with custom loader, save as temp file, pass the temp file to connect_configuration, it will return me another temp file with overwritten config, and then pass this new file to OmegaConf

it would be nice if Task.connect_configuration could support custom yaml file readers for me

But I am not sure it will connect the parameters properly, I will check now

I am not using hydra, I am reading the conf with:
config_dict = read_yaml(conf_yaml_path) config = OmegaConf.create(task.connect_configuration(config_dict))

This one doesn’t have

_to_dict

unfortunately

Well, I guess we can add it...

but then why do I have to do task.connect_configuration(read_yaml(conf_path))._to_dict() ?
Why not task.connect_configuration(read_yaml(conf_path)) simply?
I mean what is the benefit of returning ProxyDictPostWrite instead of a dict?

with open(path, "r") as stream: return yaml.load(stream, Loader=yaml.FullLoader)

Can you try with Task.connect() ?
https://clear.ml/docs/latest/docs/references/sdk/task#connect

and then call task.connect_configuration probably

Regarding connect_configuration() , reading into the docs I see that this method needs to be called before reading the config file
https://clear.ml/docs/latest/docs/references/sdk/task#connect_configuration

That's because ClearML needs the hooks in that class to make sure any changes you make in that data structure are propagated back to the server when you're not in remote mode

Ok, so what worked for me in the end was:
config = task.connect_configuration(read_yaml(conf_path)) cfg = OmegaConf.create(config._to_dict())