workshop_tutorial.ipynb throwing ValueError

[jeffmylife]

Went through the workshop_tutorial.ipynb without changing anything, but am getting a ValueError.

This is the line initiating the error:

one_filter_dragonn = get_SequenceDNN(one_filter_dragonn_parameters)

---

ValueError Traceback (most recent call last)
in ()
----> 1 one_filter_dragonn = get_SequenceDNN(one_filter_dragonn_parameters)

/Users/jeffrey/anaconda2/lib/python2.7/site-packages/dragonn/tutorial_utils.pyc in get_SequenceDNN(SequenceDNN_parameters)
80
81 def get_SequenceDNN(SequenceDNN_parameters):
---> 82 return SequenceDNN(**SequenceDNN_parameters)
83
84

/Users/jeffrey/anaconda2/lib/python2.7/site-packages/dragonn/models.pyc in init(self, seq_length, use_deep_CNN, use_RNN, num_tasks, num_filters, conv_width, num_filters_2, conv_width_2, num_filters_3, conv_width_3, pool_width, L1, dropout, GRU_size, TDD_size, verbose)
129 nb_filter=num_filters, nb_row=4,
130 nb_col=conv_width, activation='linear',
--> 131 init='he_normal', input_shape=self.input_shape))
132 self.model.add(Activation('relu'))
133 self.model.add(Dropout(dropout))

/Users/jeffrey/anaconda2/lib/python2.7/site-packages/Keras-0.3.2-py2.7.egg/keras/layers/convolutional.py in init(self, nb_filter, nb_row, nb_col, init, activation, weights, border_mode, subsample, dim_ordering, W_regularizer, b_regularizer, activity_regularizer, W_constraint, b_constraint, **kwargs)
253 self.initial_weights = weights
254 self.input = K.placeholder(ndim=4)
--> 255 super(Convolution2D, self).init(**kwargs)
256
257 def build(self):

/Users/jeffrey/anaconda2/lib/python2.7/site-packages/Keras-0.3.2-py2.7.egg/keras/layers/core.py in init(self, **kwargs)
49 self.set_input_shape(tuple(kwargs['batch_input_shape']))
50 elif 'input_shape' in kwargs:
---> 51 self.set_input_shape((None,) + tuple(kwargs['input_shape']))
52 self.trainable = True
53 if 'trainable' in kwargs:

/Users/jeffrey/anaconda2/lib/python2.7/site-packages/Keras-0.3.2-py2.7.egg/keras/layers/core.py in set_input_shape(self, input_shape)
155 self._input_shape = input_shape
156 self.input = K.placeholder(shape=self._input_shape)
--> 157 self.build()
158
159 @Property

/Users/jeffrey/anaconda2/lib/python2.7/site-packages/Keras-0.3.2-py2.7.egg/keras/layers/convolutional.py in build(self)
264 else:
265 raise Exception('Invalid dim_ordering: ' + self.dim_ordering)
--> 266 self.W = self.init(self.W_shape)
267 self.b = K.zeros((self.nb_filter,))
268 self.trainable_weights = [self.W, self.b]

/Users/jeffrey/anaconda2/lib/python2.7/site-packages/Keras-0.3.2-py2.7.egg/keras/initializations.py in he_normal(shape, name)
46 ''' Reference: He et al., http://arxiv.org/abs/1502.01852
47 '''
---> 48 fan_in, fan_out = get_fans(shape)
49 s = np.sqrt(2. / fan_in)
50 return normal(shape, s, name=name)

/Users/jeffrey/anaconda2/lib/python2.7/site-packages/Keras-0.3.2-py2.7.egg/keras/initializations.py in get_fans(shape)
5
6 def get_fans(shape):
----> 7 fan_in = shape[0] if len(shape) == 2 else np.prod(shape[1:])
8 fan_out = shape[1] if len(shape) == 2 else shape[0]
9 return fan_in, fan_out

/Users/jeffrey/anaconda2/lib/python2.7/site-packages/numpy/core/fromnumeric.pyc in prod(a, axis, dtype, out, keepdims)
2564
2565 return _methods._prod(a, axis=axis, dtype=dtype,
-> 2566 out=out, **kwargs)
2567
2568

/Users/jeffrey/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.pyc in _prod(a, axis, dtype, out, keepdims)
33
34 def _prod(a, axis=None, dtype=None, out=None, keepdims=False):
---> 35 return umr_prod(a, axis, dtype, out, keepdims)
36
37 def _any(a, axis=None, dtype=None, out=None, keepdims=False):

ValueError: setting an array element with a sequence.

Any help would be appreciated.
Thanks 

[ahorvath]

I got the same issue. Any suggestion?

Thanks in advance!