Bug fix in convolutional recurrent state setting

* Bug fix: convolutional recurrent (again)

* pep8

* Update convolutional_recurrent.py

* pep8

keras/layers/convolutional_recurrent.py

@@ -109,6 +109,8 @@ def __init__(self, filters,
         self.state_spec = None
 
     def compute_output_shape(self, input_shape):
+        if type(input_shape) is list:
+            input_shape = input_shape[0]
         if self.data_format == 'channels_first':
             rows = input_shape[3]
             cols = input_shape[4]
@@ -329,6 +331,7 @@ def __init__(self, filters,
 
         self.dropout = min(1., max(0., dropout))
         self.recurrent_dropout = min(1., max(0., recurrent_dropout))
+        self.state_spec = [InputSpec(ndim=4), InputSpec(ndim=4)]
 
     def build(self, input_shape):
         if isinstance(input_shape, list):
@@ -349,6 +352,10 @@ def build(self, input_shape):
             raise ValueError('The channel dimension of the inputs '
                              'should be defined. Found `None`.')
         input_dim = input_shape[channel_axis]
+        state_shape = [None] * 4
+        state_shape[channel_axis] = input_dim
+        state_shape = tuple(state_shape)
+        self.state_spec = [InputSpec(shape=state_shape), InputSpec(shape=state_shape)]
         kernel_shape = self.kernel_size + (input_dim, self.filters * 4)
         self.kernel_shape = kernel_shape
         recurrent_kernel_shape = self.kernel_size + (self.filters, self.filters * 4)