Undefined names can raise NameError at runtime --> tensorlayer/seq2seq-chatbot#1

Author: zsdonghao

tensorlayer/layers.py

@@ -5973,9 +5973,9 @@ def sampled_loss(inputs, labels):
         cell = cell_creator()
         if num_layers > 1:
           try: # TF1.0
-            cell = tf.contrib.rnn.MultiRNNCell([single_cell] * num_layers)
+            cell = tf.contrib.rnn.MultiRNNCell([cell] * num_layers)
           except:
-            cell = tf.nn.rnn_cell.MultiRNNCell([single_cell] * num_layers)
+            cell = tf.nn.rnn_cell.MultiRNNCell([cell] * num_layers)
 
         # ============== Seq Decode Layer ============
         # The seq2seq function: we use embedding for the input and attention.

tensorlayer/prepro.py

@@ -994,7 +994,7 @@ def channel_shift(x, intensity, is_random=False, channel_index=2):
     # x = np.rollaxis(x, 0, channel_index+1)
     # return x
 
-def channel_shift_multi(x, intensity, channel_index=2):
+def channel_shift_multi(x, intensity, is_random=False, channel_index=2):
     """Shift the channels of images with the same arguments, randomly or non-randomly, see `numpy.rollaxis <https://docs.scipy.org/doc/numpy/reference/generated/numpy.rollaxis.html>`_ .
     Usually be used for image segmentation which x=[X, Y], X and Y should be matched.