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More tf.contrib.rnn.* issues for TF1.0 #96

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Merged
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Feb 21, 2017
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More tf.contrib.rnn.* issues for TF1.0 #96

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17 changes: 14 additions & 3 deletions tensorlayer/layers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4678,12 +4678,23 @@ def sampled_loss(inputs, labels):

# ============ Seq Encode Layer =============
# Create the internal multi-layer cell for our RNN.
single_cell = tf.nn.rnn_cell.GRUCell(size)
try: # TF1.0
single_cell = tf.contrib.rnn.GRUCell(size)
except:
single_cell = tf.nn.rnn_cell.GRUCell(size)

if use_lstm:
single_cell = tf.nn.rnn_cell.BasicLSTMCell(size)
try: # TF1.0
single_cell = tf.contrib.rnn.BasicLSTMCell(size)
except:
single_cell = tf.nn.rnn_cell.BasicLSTMCell(size)

cell = single_cell
if num_layers > 1:
cell = tf.nn.rnn_cell.MultiRNNCell([single_cell] * num_layers)
try: # TF1.0
cell = tf.contrib.rnn.MultiRNNCell([single_cell] * num_layers)
except:
cell = tf.nn.rnn_cell.MultiRNNCell([single_cell] * num_layers)

# ============== Seq Decode Layer ============
# The seq2seq function: we use embedding for the input and attention.
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