bugfix for upstream change of MultiRNNCell

examples/CTC-TIMIT/train-timit.py

@@ -19,6 +19,7 @@ import tensorpack.tfutils.symbolic_functions as symbf
 import tensorflow as tf
 
 from timitdata import TIMITBatch
+rnn = tf.contrib.rnn
 
 
 BATCH = 64
@@ -41,8 +42,7 @@ class Model(ModelDesc):
         feat, labelidx, labelvalue, labelshape, seqlen = inputs
         label = tf.SparseTensor(labelidx, labelvalue, labelshape)
 
-        cell = tf.contrib.rnn.BasicLSTMCell(num_units=HIDDEN)
-        cell = tf.contrib.rnn.MultiRNNCell([cell] * NLAYER)
+        cell = rnn.MultiRNNCell([rnn.LSTMBlockCell(num_units=HIDDEN) for _ in range(NLAYER)])
 
         initial = cell.zero_state(tf.shape(feat)[0], tf.float32)