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!