[x] I have searched through the issues Issues for a duplicate
[x] I've tested that my Keras model works as a stand-alone
2) Include the output of:
talos.__version__ : '0.6.3'
3) Explain clearly what you expect to happen
I am trying to optimize a model using tensorflow 2.0, the first training does well, but at the beginning of the second I get the error: TypeError: cannot unpack non-iterable NoneType object
4) Explain what actually happened
TypeError: cannot unpack non-iterable NoneType objec using Tensorflow 2.0
5) Provide a code-complete reference
p = {
'L2_reg' : [0.001,0.01],
'batch_size': [100],
'lstm_cells1':[100,200,400],
'lr':[0.001]}
1) Confirm the below
2) Include the output of:
talos.__version__
: '0.6.3'3) Explain clearly what you expect to happen
I am trying to optimize a model using tensorflow 2.0, the first training does well, but at the beginning of the second I get the error: TypeError: cannot unpack non-iterable NoneType object
4) Explain what actually happened
TypeError: cannot unpack non-iterable NoneType objec using Tensorflow 2.0
5) Provide a code-complete reference
p = { 'L2_reg' : [0.001,0.01],
'batch_size': [100], 'lstm_cells1':[100,200,400], 'lr':[0.001]}
x_train = [cnn_train, ann_train] x_dev = [cnn_dev, ann_dev]
scan_object = talos.Scan(x=x_train, y=y_train, x_val=x_dev, y_val=y_dev, params=p, model=build_model, experiment_name='CPU')