so I didn't have much time to upgrade all the packs because I have some issues with that but it is on my todo list
but I belive it should have work with 0.14.1 as well
Are you doing from keras import ... or from tensorflow.keras import ?
so I didn't have much time to upgrade all the packs because I have some issues with that but it is on my todo list
No worries 🙂
Quick question, if you run https://github.com/allegroai/trains/blob/master/examples/frameworks/keras/legacy/keras_tensorboard.py
Do you see models in the artifacts tab?
TF 1.15 (yes I know... i work on an old model of maskrcnn)
Hi PlainSquid19
Any model stored by TF/Keras/PyTorch/Joblib will automatically appear in the artifact/models tab.
Are you asking on how to add one manually ?
(This code sample should work on your setup with your installed packages without a problem)
AgitatedDove14 In my train I see under this section " NO ARTIFACTS RECORDED"
Interesting... the code looks similar... i really don't know why it didn't showed the models in my trainings... I will try to add it manually for now
but I belive it should have work with 0.14.1 as well
Correct
PlainSquid19 I will also look into it as well.
maybe for some reason model.keras_model.save_weights is not caught ...
Your code should have worked, i.e. you should see the 'model.h5' in the artifacts tab. What do you have there?
It should look something like this one:
https://demoapp.trains.allegro.ai/projects/531785e122644ca5b85b2e19b0321def/experiments/e185cf31b2634e95abc7f9fbdef60e0f/artifacts/output-model
BTW:
To manually register any model:
from trains import Task, OutputModel task = Task.init('examples', 'my model') OutputModel().update_weights('my_best_model.h5')
yes, I can see the model for his training in the web
i use Keras, "model.keras_model.save_weights(os.path.join(output_directory, 'model.h5'))" i want to see the results in trains... how do I do it? (I can see it saves the model in my dir but I can't see it on trains)