AttributeError: 'int' object has no attribute 'ndim'

[zyayoung]

Keras2.1.3
Python 2.7
Thenao 1.0.1

root@localhost:~/zya/keras-dcgan# python dcgan.py --mode train
/usr/local/lib/python2.7/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
Using Theano backend.
dcgan.py:19: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(units=1024, input_dim=100)`
  model.add(Dense(input_dim=100, output_dim=1024))
('Epoch is', 0)
('Number of batches', 468)
Traceback (most recent call last):
  File "dcgan.py", line 160, in <module>
    train(BATCH_SIZE=args.batch_size)
  File "dcgan.py", line 106, in train
    d_loss = d.train_on_batch(X, y)
  File "/usr/local/lib/python2.7/dist-packages/keras/models.py", line 1069, in train_on_batch
    class_weight=class_weight)
  File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 1843, in train_on_batch
    check_batch_axis=True)
  File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 1430, in _standardize_user_data
    exception_prefix='target')
  File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 70, in _standardize_input_data
    data = [np.expand_dims(x, 1) if x is not None and x.ndim == 1 else x for x in data]
AttributeError: 'int' object has no attribute 'ndim'

[qq191513]

me too!!!!!

[aaronopp]

It's a bug with Keras 2.1.3 specifically. Check this out: https://github.com/rstudio/keras/issues/262
I rolled back to version 2.1.2 and everything worked fine!

[kechan]

@aaronopp The link you posted no longer works. So is this a Keras bug? Is there any workaround other than rolling back to 2.1.2?

[eromoe]

@aaronopp is right. I think keras should collect such error into version list, and give a simple advise(such as swtich to which version ) .