Small comment update

Author: nouiz

code/imdb.py

@@ -14,6 +14,7 @@ def prepare_data(seqs, labels, maxlen=None):
     if maxlen is set, we will cut all sequence to this maximum
     lenght.
 
+    This swap the axis!
     """
     # x: a list of sentences
     lengths = [len(s) for s in seqs]

code/lstm.py

@@ -481,12 +481,10 @@ def train_lstm(
                 y = [train[1][t] for t in train_index]
                 x = [train[0][t]for t in train_index]
 
-                # Get the data in numpy.ndarray formet.
-                # It return something of the shape (minibatch maxlen, n samples)
-                x, mask, y = prepare_data(x, y, maxlen=maxlen)
-                if x is None:
-                    print 'Minibatch with zero sample under length ', maxlen
-                    continue
+                # Get the data in numpy.ndarray format
+                # This swap the axis!
+                # Return something of shape (minibatch maxlen, n samples)
+                x, mask, y = prepare_data(x, y)
                 n_samples += x.shape[1]
 
                 cost = f_grad_shared(x, mask, y)