Comments (4)
@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.
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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"?
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Related Issues (20)
- Naming of "Default" experiment list HOT 1
- Scalar plots are empty, log_scalar values only appear on experiment overview HOT 3
- Invalid yaml causes GUI to freeze HOT 1
- Experiment log output cannot be copied on Windows
- Docker run error HOT 5
- deepkit link error HOT 2
- Docker build fails HOT 1
- Job Failure HOT 2
- Automatic provisioning of VM instances HOT 7
- Docker Mounts HOT 4
- Registering with Keras fails HOT 9
- Passing additional options to docker
- Links in README are no longer working
- How about the project activity state? HOT 2
- [Feature request] Distributed training HOT 1
- please windows version ? HOT 6
- Is it possible to run this without docker installed on the server? HOT 2
- Is this alive? HOT 1
- Is it possible to download ? HOT 1
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