Adopt to blocks new initial_states(..) handling

draw/draw.py

@@ -300,7 +300,7 @@ def get_dim(self, name):
     @recurrent(sequences=['u'], contexts=['x'], 
                states=['c', 'h_enc', 'c_enc', 'z', 'kl', 'h_dec', 'c_dec'],
                outputs=['c', 'h_enc', 'c_enc', 'z', 'kl', 'h_dec', 'c_dec'])
-    def iterate(self, u, c, h_enc, c_enc, z, kl, h_dec, c_dec, x):
+    def apply(self, u, c, h_enc, c_enc, z, kl, h_dec, c_dec, x):
         x_hat = x-T.nnet.sigmoid(c)
         r = self.reader.apply(x, x_hat, h_dec)
         i_enc = self.encoder_mlp.apply(T.concatenate([r, h_dec], axis=1))
@@ -339,7 +339,7 @@ def reconstruct(self, features):
                     avg=0., std=1.)
 
         c, h_enc, c_enc, z, kl, h_dec, c_dec = \
-            rvals = self.iterate(x=features, u=u)
+            rvals = self.apply(x=features, u=u)
 
         x_recons = T.nnet.sigmoid(c[-1,:,:])
         x_recons.name = "reconstruction"