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

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

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

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?

I have a custom way of reading the config file

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

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

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

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

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

👍

This one doesn’t have _to_dict unfortunately

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

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

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))

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

I ended up dropping omegaconf altogether

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'> `

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

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

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

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

This allows me to inject yaml files into other yaml files

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

and then call task.connect_configuration probably

This one doesn’t have

_to_dict

unfortunately

Well, I guess we can add it...