Ok, thanks!

ohh sorry, weights_url=path
Basically url can be the local path to the weights file 🙂

As in the context of my code example

And what if I have a model but not a weights_url?

You can always log it manually:
from clearml import InputModel input_model = InputModel.import_model(weights_url='/tmp/keras_example/weight.6.hdf5')

Ok great, otherwise is there another way?

Okay ConfusedPig65 I found the problem. For some reason the latest TF.keras.load_model . save_model is not tracked.
I'll make sure we push a fix later today

Thank you very much for your time!

Hmm, I think it is this line:

WARNING - Model configuration only supports dictionary or string objects
done

Let me check something.

Sure

ConfusedPig65 could you send the full log (console) of this execution?

Let me check

And then I check the artifacts for the task in the UI and don't see anything

okay, let me know if it works

I'm trying this...

🤞

I see...

It does not upload, the default behavior is to log the artifact (so you know where you stored, but not enforce unnecessary uploads)
If you were to change:
task = Task.init(project_name='examples', task_name='Keras with TensorBoard example')to:
task = Task.init(project_name='examples', task_name='Keras with TensorBoard example', output_uri=" ")It would also upload the model

Where exactly does the artifact upload happen here?

Hmm, but this is different than you described earlier

You can check the keras example, run it twice, on the second time it will continue from the previous checkpoint and you will have input and output model.
https://github.com/allegroai/clearml/blob/master/examples/frameworks/keras/keras_tensorboard.py

So I have a task that just loads a model, but I don't see it as an artifact in the UI

You should see it under Artifacts, Input model if you are calling Keras load function (or similar)

And I initialized the task with the output_uri

So I have a task that just loads a model, but I don't see it as an artifact in the UI

I see, thanks. Let me give it a try.

Then check in the clearml.conf under files_server
And use what you have there (for example http://localhost:8081 )

OK, and if I wasn't using the latest RC?

If you are using the latest RC:
pip install clearml==0.17.5rc5You can pass True it will use the "files_server" as configured in your clearml.conf
I used the http link as a filler to point to the files_server.
Make sense ?

Ah, thanks. What should I use as an upload url? Is
" "OK, or was that just a filler?

Hi ConfusedPig65
Any keras model will be automatically uploaded if you pass an upload url to the Task init:
task = Task.init('examples', 'keras upload test', output_uri=" ")(You can also pass to output_uri s3://buckket/folder or change the default output_uri in the clearml.conf file)
After this line any keras model will be automatically uploaded (you will see it under the Artifacts Tab)
Accessing models from executed tasks:
trains_task = Task.get_task('task_uid_here') last_checkpoint = trains_task.models['output'][-1].get_local_copy()