Error with TensorFlow 1.1.0

Hi, when I was running the copy task with the command you provided in the README, I got some variable scope related error. My environment is:
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Python: 2.7.12
TensorFlow: 1.1.0
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The error message is :
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[*] Building a NTM model
Percent: [####################] 100.00% Finished.
[*] Building a loss model for seq_length 1
Traceback (most recent call last):
File "main.py", line 72, in
tf.app.run()
File "/net/mlfs01/export/users/byang/env-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "main.py", line 54, in main
cell, ntm = create_ntm(FLAGS, sess)
File "main.py", line 39, in create_ntm
test_max_length=config.test_max_length, scope=scope, **ntm_args)
File "/net/mlfs01/export/users/byang/working/NTM-tensorflow/ntm.py", line 83, in __init__
self.build_model(forward_only)
File "/net/mlfs01/export/users/byang/working/NTM-tensorflow/ntm.py", line 169, in build_model
global_step=self.global_step)
File "/net/mlfs01/export/users/byang/env-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/training/optimizer.py", line 446, in apply_gradients
self._create_slots([_get_variable_for(v) for v in var_list])
File "/net/mlfs01/export/users/byang/env-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/training/rmsprop.py", line 99, in _create_slots
self._get_or_make_slot(v, val_rms, "rms", self._name)
File "/net/mlfs01/export/users/byang/env-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/training/optimizer.py", line 727, in _get_or_make_slot
named_slots[_var_key(var)] = slot_creator.create_slot(var, val, op_name)
File "/net/mlfs01/export/users/byang/env-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/training/slot_creator.py", line 113, in create_slot
return _create_slot_var(primary, val, "", validate_shape, None, None)
File "/net/mlfs01/export/users/byang/env-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/training/slot_creator.py", line 66, in _create_slot_var
validate_shape=validate_shape)
File "/net/mlfs01/export/users/byang/env-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 1049, in get_variable
use_resource=use_resource, custom_getter=custom_getter)
File "/net/mlfs01/export/users/byang/env-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 948, in get_variable
use_resource=use_resource, custom_getter=custom_getter)
File "/net/mlfs01/export/users/byang/env-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 356, in get_variable
validate_shape=validate_shape, use_resource=use_resource)
File "/net/mlfs01/export/users/byang/env-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 341, in _true_getter
use_resource=use_resource)
File "/net/mlfs01/export/users/byang/env-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 671, in _get_single_variable
"VarScope?" % name)
ValueError: Variable NTM-copy/NTM-copy_1/init_cell/Variable/RMSProp/ does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=None in VarScope?
(env-tensorflow) byang@snake10:/net/mlfs01/export/users/byang/working/NTM-tensorflow$ python
Python 2.7.12 (default, Nov 19 2016, 06:48:10)
[GCC 5.4.0 20160609] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> tf.__version__
'1.1.0'
>>>

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I failed to resolve this issue, can you take a look and see what happened? Thanks.

Reproduce the README's copy task with Python 2.7.12 and TensorFlow 1.1.0. Inspect main.py around create_ntm and ntm.py around build_model line 169, following the variable-scope traceback. Done means the copy task completes without the reported RMSProp scope error.

Written by the indexing model from the issue text.