TypeError: Expected int32, got list containing Tensors of type '_Message' instead.

[dionvanhelvoirt]

First of all thank you for all the effort put into this project!
I'm trying to get it to work. Currently under a Ubuntu 18.04 machine (Python 2.7.15 & Tensorflow 1.9)
However I am still struggling to get it to work. I am getting the following error message:

Traceback (most recent call last):
File "twitter-sentiment-cnn.py", line 195, in
h_pool = tf.concat(3, pooled_outputs)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/array_ops.py", line 1110, in concat
dtype=dtypes.int32).get_shape().assert_is_compatible_with(
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1011, in convert_to_tensor
as_ref=False)
File "/usr/local/lib/python2.7/dist-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 "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/constant_op.py", line 217, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/constant_op.py", line 196, in constant
value, dtype=dtype, shape=shape, verify_shape=verify_shape))
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_util.py", line 436, in make_tensor_proto
_AssertCompatible(values, dtype)
File "/usr/local/lib/python2.7/dist-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.

Thank you in advance!

[danielegrattarola]

Hi,

I'm sorry, but this code is so old that I don't even know which TensorFlow version is supposed to support.
If you're using Python 2.7, then there should be a TF version for which this code runs out of the box. It could go as far back as 1.4.

At this point, this repo has more of a historical/personal value than anything else :)

Good luck,
Daniele

[dionvanhelvoirt]

Hi Daniele,

Thanks for your fast respone. (:
I've managed to run the script (after some more debugging). So it works.

The reason I wanted to give your script a try is that I am looking for a TF model that can analyze tweets. Therefore I am trying to save the model as a .pb file (using the SavedModel format). Then I can use it with TensorFlow Serving. However saving the model is still a bit tricky to do.

So I won't bother you with the details of that. I understand the meaning of this repo from your viewpoint :)

Kind regards,
Dion