Project name of "deepkit" changes nested directory behavior about deepkit-ml HOT 4 OPEN

@planetceres thanks for the detailed description. Could you also please post your deepkit.yml content? I wonder if training is an actual config value defined in the file, what content it has, and if training is correctly displayed when the bug is not seen.

from deepkit-ml.

While the example I showed above is a private project, this same behavior happens with the default examples in this repo and the deepkit python-sdk. The only difference is that I've had to replace parameters with config.

distributed-simple/deepkit.yml

image: python:3.7.0-alpine3.8

docker:
    binds:
        - /home/user/deepkit/deepkit-python-sdk/:/deepkit-sdk
    env:
        - PYTHONPATH=/deepkit-sdk

config:
    lr: 50
    optimizer: sgd
    training:
        epochs: 50
        samples: 20

tasks:
    ...

from deepkit-ml.

    training:
        epochs: 50
        samples: 20

this results always in [object Object] as nested objects are not supported in the create-experiment view. I tried your example with deepkit/deepkit.yml and it correctly displays the configuration in the create-experiment view (except the training entry config option).

I don't understand your example to be honest. You have shown two screenshots of different configurations. num-machines as of the second screenshot is not in your posted deepkit.yml, so I don't understand the reproduction case.

from deepkit-ml.

If we create a directory ./deepkit and put deepkit.yml there, DeepKit can't seem to find the configuration

But you showed a screenshot of this configuration, so Deepkit found it. I really don't get that bug. You said Deepkit doesnt find the configuration, yet you created a screenshot of this very configuration in the GUI. What exactly do you mean with "Deepkit can't seem to find it"?

from deepkit-ml.