error running cnn_uci.py

[rjpg]

/> python cnn_uci.py

/home/rjpg/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
Loading UCI dataset...
Dataset was uploaded

Creating CNN architecture

Traceback (most recent call last):
  File "cnn_uci.py", line 127, in <module>
    h_hidden = tf.concat(1, [h_flat, h_feat])
  File "/home/rjpg/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py", line 1110, in concat
    dtype=dtypes.int32).get_shape().assert_is_compatible_with(
  File "/home/rjpg/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1011, in convert_to_tensor
    as_ref=False)
  File "/home/rjpg/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1107, in internal_convert_to_tensor
    ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
  File "/home/rjpg/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/constant_op.py", line 217, in _constant_tensor_conversion_function
    return constant(v, dtype=dtype, name=name)
  File "/home/rjpg/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/constant_op.py", line 196, in constant
    value, dtype=dtype, shape=shape, verify_shape=verify_shape))
  File "/home/rjpg/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/tensor_util.py", line 436, in make_tensor_proto
    _AssertCompatible(values, dtype)
  File "/home/rjpg/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/tensor_util.py", line 347, in _AssertCompatible
    (dtype.name, repr(mismatch), type(mismatch).__name__))
TypeError: Expected int32, got list containing Tensors of type '_Message' instead.

[aiff22]

The problem is caused by new TensorFlow API for tf.concat function. Please refer to the following guide showing how to fix this issue: #3 (comment)