Traceback (most recent call last):


 "demo.py", line 84, in <module>

main()


 "demo.py", line 61, in main

net = NetClass(compute_grad=False)
# instantiate a network


 "D:\3D-R2N2-master\models\net.py", line 37, in __init__

self.setup()


 "D:\3D-R2N2-master\models\net.py", line 40, in setup

self.network_definition()


 "D:\3D-R2N2-master\models\res_gru_net.py", line 160, in network_definition

dtype=theano.config.floatX)])


 "D:\Anaconda3\lib\site-packages\theano\scan_module\scan.py", line 773, in scan

condition, outputs, updates = scan_utils.get_updates_and_outputs(fn(*args))


 "D:\3D-R2N2-master\models\res_gru_net.py", line 153, in recurrence

return gru_out_.output, update_gate_.output


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 214, in set_output

self._output = self._prev_layer.output + self._add_layer.output


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 225, in set_output

self._output = self._prev_layer.output * self._mult_layer.output


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 657, in set_output

self._output = sigmoid(self._prev_layer.output)


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 504, in set_output

tensor.dot(self._fc_layer.output, self.Wx.val), self._output_shape)


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 637, in set_output

self._input = self._prev_layer.output


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 159, in set_output

self._output = tensor.dot(self._prev_layer.output, self.W.val)


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 236, in set_output

self._prev_layer.output.flatten(2)
# flatten from the second dim


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 351, in set_output

input=self._prev_layer.output,


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 214, in set_output

self._output = self._prev_layer.output + self._add_layer.output


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 351, in set_output

input=self._prev_layer.output,


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 214, in set_output

self._output = self._prev_layer.output + self._add_layer.output


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 319, in set_output

padded_input = self._prev_layer.output


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 351, in set_output

input=self._prev_layer.output,


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 637, in set_output

self._input = self._prev_layer.output


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 313, in set_output

self._prev_layer.output)


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 637, in set_output

self._input = self._prev_layer.output


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 313, in set_output

self._prev_layer.output)


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 351, in set_output

input=self._prev_layer.output,


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 214, in set_output

self._output = self._prev_layer.output + self._add_layer.output


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 319, in set_output

padded_input = self._prev_layer.output


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 351, in set_output

input=self._prev_layer.output,


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 214, in set_output

self._output = self._prev_layer.output + self._add_layer.output


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 319, in set_output

padded_input = self._prev_layer.output


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 351, in set_output

input=self._prev_layer.output,


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 637, in set_output

self._input = self._prev_layer.output


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 313, in set_output

self._prev_layer.output)


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 637, in set_output

self._input = self._prev_layer.output


 "D:\3D-R2N2-master\lib\layers.py", line 129, in output

self.set_output()


 "D:\3D-R2N2-master\lib\layers.py", line 328, in set_output

border_mode='valid')


 "D:\Anaconda3\lib\site-packages\theano\tensor\nnet\__init__.py", line 169, in conv2d

filter_dilation, num_groups, unshared)


 "D:\Anaconda3\lib\site-packages\theano\tensor\nnet\abstract_conv.py", line 643, in conv2d

unshared=unshared)


 "D:\Anaconda3\lib\site-packages\theano\tensor\nnet\abstract_conv.py", line 2465, in __init__

unshared=unshared)


 "D:\Anaconda3\lib\site-packages\theano\tensor\nnet\abstract_conv.py", line 2314, in __init__

unshared=unshared)


 "D:\Anaconda3\lib\site-packages\theano\tensor\nnet\abstract_conv.py", line 2103, in __init__

self.imshp = tuple(imshp) if imshp else (None,) * (2 + convdim)
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all() 
Traceback (most recent call last):

 "/Users/dengemann/anaconda/lib/python2.7/site-packages/IPython/core/application.py", line 197, in excepthook
return self.crash_handler(etype, evalue, tb)

 "/Users/dengemann/anaconda/lib/python2.7/site-packages/IPython/core/crashhandler.py", line 180, in __call__
input("Hit <Enter> to quit (your terminal may close):")

 "/Users/dengemann/anaconda/lib/python2.7/site-packages/IPython/utils/py3compat.py", line 150, in input
return builtin_mod.raw_input(prompt)RuntimeError: can't re-enter readline