trivial update of lstm cell construct used
diff --git a/tf-ner-poc/src/main/python/normalizer/normalizer.py b/tf-ner-poc/src/main/python/normalizer/normalizer.py
index e720cc1..bc2c6ac 100644
--- a/tf-ner-poc/src/main/python/normalizer/normalizer.py
+++ b/tf-ner-poc/src/main/python/normalizer/normalizer.py
@@ -97,7 +97,7 @@
encoder_emb_inp = tf.transpose(encoder_emb_inp, perm=[1, 0, 2])
- encoder_cell = tf.nn.rnn_cell.BasicLSTMCell(num_units)
+ encoder_cell = tf.nn.rnn_cell.LSTMCell(num_units)
initial_state = encoder_cell.zero_state(batch_size_ph, dtype=tf.float32)
encoder_outputs, encoder_state = tf.nn.dynamic_rnn(
@@ -123,7 +123,7 @@
num_units, attention_states,
memory_sequence_length=encoder_lengths_ph)
- decoder_cell = tf.nn.rnn_cell.BasicLSTMCell(num_units)
+ decoder_cell = tf.nn.rnn_cell.LSTMCell(num_units)
decoder_cell = tf.contrib.seq2seq.AttentionWrapper(decoder_cell, attention_mechanism,
attention_layer_size=num_units)
