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update TF version to 1.9 #19

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update TF version to 1.9 #19

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2 changes: 1 addition & 1 deletion run_multi-task_rnn.py
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Original file line number Diff line number Diff line change
Expand Up @@ -226,7 +226,7 @@ def create_model(session,

def train():
print ('Applying Parameters:')
for k,v in FLAGS.__dict__['__flags'].iteritems():
for k,v in FLAGS.__flags.iteritems():
print ('%s: %s' % (k, str(v)))
print("Preparing data in %s" % FLAGS.data_dir)
vocab_path = ''
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10 changes: 7 additions & 3 deletions seq_classification.py
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Expand Up @@ -12,9 +12,13 @@
from six.moves import xrange # pylint: disable=redefined-builtin
# We disable pylint because we need python3 compatibility.
import tensorflow as tf
from tensorflow.python.ops import rnn_cell_impl

linear = rnn_cell_impl._linear
try:
from tensorflow.python.ops import rnn_cell_impl
linear = rnn_cell_impl._linear
except AttributeError:
from tensorflow.contrib.rnn.python.ops.core_rnn_cell import _linear
linear = _linear

def attention_single_output_decoder(initial_state,
attention_states,
Expand Down Expand Up @@ -131,4 +135,4 @@ def generate_single_output(encoder_state, attention_states, sequence_length,
batch_size = tf.shape(targets[0])[0]
loss = tf.reduce_sum(crossent) / tf.cast(batch_size, tf.float32)

return bucket_outputs, loss
return bucket_outputs, loss
9 changes: 6 additions & 3 deletions seq_labeling.py
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Original file line number Diff line number Diff line change
Expand Up @@ -19,9 +19,12 @@
from tensorflow.contrib.legacy_seq2seq import sequence_loss_by_example
from tensorflow.contrib.legacy_seq2seq import sequence_loss

from tensorflow.python.ops import rnn_cell_impl

linear = rnn_cell_impl._linear
try:
from tensorflow.python.ops import rnn_cell_impl
linear = rnn_cell_impl._linear
except AttributeError:
from tensorflow.contrib.rnn.python.ops.core_rnn_cell import _linear
linear = _linear

def _step(time, sequence_length, min_sequence_length,
max_sequence_length, zero_logit, generate_logit):
Expand Down