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Problem logging with tensorboard #29

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Carterbouley opened this issue Feb 19, 2021 · 2 comments
Open

Problem logging with tensorboard #29

Carterbouley opened this issue Feb 19, 2021 · 2 comments

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@Carterbouley
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I am trying to log the training of my agent over time.

I am used to using tensorboard, however when I try and create a callback, i get an error when running a fit.

from keras.callbacks import TensorBoard
tb =  TensorBoard(log_dir='./keras-rl')
dqn.fit(env, nb_steps=1200000, visualize=False, verbose=1, callbacks=[tb])


AttributeError: 'TensorBoard' object has no attribute '_should_trace'

And when I try and use WandbLogger as suggested:

from keras.callbacks import WandbLogger

ImportError: cannot import name 'WandbLogger' from 'keras.callbacks'

If there is a solution to this I would be thankful, or another way of doing live monitoring would be great too!
@MarcoLehmann
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same here

1 similar comment
@j-beaver
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j-beaver commented May 9, 2021

same here

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3 participants
@MarcoLehmann @j-beaver @Carterbouley