check this one

I got this error, Now I am using phthon 2.7

INFO:opendeep.optimization.optimizer:Initializing optimizer <class 'opendeep.optimization.adadelta.AdaDelta'>
INFO:opendeep.optimization.optimizer:Optimizer config args: {'grad_clip': None, 'save_freq': 1000000, 'min_batch_size': 1, 'stop_threshold': inf, 'decay': 0.95, 'hard_clip': False, 'learning_rate': 1e-06, 'batch_size': 100, 'stop_patience': 1, 'epochs': 10, 'lr_decay': None, 'model': <opendeep.data.standard_datasets.image.mnist.MNIST object at 0x00000000143F7630>, 'dataset': <opendeep.models.single_layer.autoencoder.DenoisingAutoencoder object at 0x00000000233BDA58>, 'lr_decay_factor': None}
Traceback (most recent call last):
File "E:\project_luna\cuda\open_deep\test\opendeeptest2.py", line 29, in
optimizer = AdaDelta(dae, mnist)
File "F:\python27\python-2.7.9.amd64\lib\site-packages\opendeep-0.0.9a0-py2.7.egg\opendeep\optimization\adadelta.py", line 72, in init
super(AdaDelta, self).init(**initial_parameters)
File "F:\python27\python-2.7.9.amd64\lib\site-packages\opendeep-0.0.9a0-py2.7.egg\opendeep\optimization\optimizer.py", line 123, in init
"Found %s" % str(type(model))
AssertionError: Optimizer input model needs to be a Model class! Found <class 'opendeep.data.standard_datasets.image.mnist.MNIST'>