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AttributeError: 'TQDMCallback' object has no attribute 'on_train_batch_begin'

See original GitHub issue

I get

AttributeError: 'TQDMCallback' object has no attribute 'on_train_batch_begin'

when trying to use keras-tqdm with LSTM.

Issue Analytics

State:
Created 5 years ago
Comments:11

Top GitHub Comments

3reactions

ipazccommented, Jul 30, 2019

This is a simple workaround to use until fixed:

from keras_tqdm import TQDMNotebookCallback

# keras, model definition...
cb = TQDMNotebookCallback()
setattr(cb,'on_train_batch_begin',lambda x,y:None)
setattr(cb,'on_train_batch_end',lambda x,y:None)

model.fit(X_train, Y_train, verbose=0, callbacks=[cb])

This temporal fix does not update the widget for me. A workaround is:

from keras_tqdm import TQDMNotebookCallback
 
cb = TQDMNotebookCallback()
cb.on_train_batch_begin = cb.on_batch_begin
cb.on_train_batch_end = cb.on_batch_end

model.fit(X_train, Y_train, verbose=0, callbacks=[cb])

2reactions

gsportellicommented, May 1, 2019

This is a simple workaround to use until fixed:

from keras_tqdm import TQDMNotebookCallback

# keras, model definition...
cb = TQDMNotebookCallback()
setattr(cb,'on_train_batch_begin',lambda x,y:None)
setattr(cb,'on_train_batch_end',lambda x,y:None)

model.fit(X_train, Y_train, verbose=0, callbacks=[cb])