construct_ufcnn with n_levels larger than one give error

[apastore]

Hi @nmayorov,
are you still working on this? construct_ufcnn give me this error if n_levels is different from 1.
I use python 2.7 and tensorflow: 1.1.0.

Thanks!
construct_ufcnn(n_inputs=1, n_outputs=2, n_levels=1, n_filters=10, filter_length=5, random_seed=0)
(<tf.Tensor 'Placeholder_8:0' shape=(?, ?, 1) dtype=float32>, <tf.Tensor 'Squeeze_4:0' shape=(?, ?, 2) dtype=float32>, [<tf.Variable 'Variable_60:0' shape=(1, 5, 1, 10) dtype=float32_ref>, <tf.Variable 'Variable_62:0' shape=(1, 5, 10, 10) dtype=float32_ref>, <tf.Variable 'Variable_64:0' shape=(1, 5, 10, 2) dtype=float32_ref>], [<tf.Variable 'Variable_61:0' shape=(10,) dtype=float32_ref>, <tf.Variable 'Variable_63:0' shape=(10,) dtype=float32_ref>, <tf.Variable 'Variable_65:0' shape=(2,) dtype=float32_ref>])

construct_ufcnn(n_inputs=1, n_outputs=2, n_levels=2, n_filters=10, filter_length=5, random_seed=0)
Traceback (most recent call last):
File "", line 1, in
File "ufcnn/ufcnn.py", line 264, in construct_ufcnn
x = tf.concat(3, [x_prev, x])
File "/Users/pastorea/miniconda2/lib/python2.7/site-packages/tensorflow/python/ops/array_ops.py", line 1029, in concat
dtype=dtypes.int32).get_shape(
File "/Users/pastorea/miniconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 639, in convert_to_tensor
as_ref=False)
File "/Users/pastorea/miniconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 704, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/Users/pastorea/miniconda2/lib/python2.7/site-packages/tensorflow/python/framework/constant_op.py", line 113, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "/Users/pastorea/miniconda2/lib/python2.7/site-packages/tensorflow/python/framework/constant_op.py", line 102, in constant
tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape, verify_shape=verify_shape))
File "/Users/pastorea/miniconda2/lib/python2.7/site-packages/tensorflow/python/framework/tensor_util.py", line 370, in make_tensor_proto
_AssertCompatible(values, dtype)
File "/Users/pastorea/miniconda2/lib/python2.7/site-packages/tensorflow/python/framework/tensor_util.py", line 302, in _AssertCompatible
(dtype.name, repr(mismatch), type(mismatch).name))
TypeError: Expected int32, got list containing Tensors of type '_Message' instead.

[apastore]

this fix it
if x_prev is not None:
x = tf.concat([x_prev, x],3)