Errors on Tensorflow 1.0

[yinhuagang]

However can be solved through tf's tool: https://github.com/tensorflow/tensorflow/tree/r1.0/tensorflow/tools/compatibility

[alinabee]

You can get it to work by modifying the following lines:

Replace tf.unpack() with tf.unstack():

inputs_series = tf.unstack(batchX_placeholder, axis=1)
labels_series = tf.unstack(batchY_placeholder, axis=1)

Swap the order of arguments as below:
input_and_state_concatenated = tf.concat([current_input, current_state], 1)

Add argument labels:
losses = [tf.nn.sparse_softmax_cross_entropy_with_logits(logits=logits, labels=labels) for logits, labels in zip(logits_series, labels_series)]

Eliminate the warning with this replacement:
sess.run(tf.global_variables_initializer()) #instead of sess.run(tf.initialize_all_variables())