IndexError: too many indices for array

[shineangelic]

I could execute --trai --save under Win10, py3.5, tensorflow 1.9.0 but I understand it's not supported. I wonder if you can help me nevertheless, thank you

======================= START! ========================
data_helpers: loading positive examples...
data_helpers: [OK]
data_helpers: loading negative examples...
data_helpers: [OK]
data_helpers: cleaning strings...
data_helpers: [OK]
data_helpers: generating labels...
data_helpers: [OK]
data_helpers: concatenating labels...
data_helpers: [OK]
data_helpers: padding strings...
data_helpers: [OK]
data_helpers: building vocabulary...
data_helpers: [OK]
data_helpers: building processed datasets...
data_helpers: [OK]

Flags:

Dataset:
Train set size = 1420766
Test set size = 157862
Vocabulary size = 274562
Input layer size = 117
Number of classes = 2

Output folder: C:\Users\Ale\git\twitter-sentiment-cnn\output\run20180720-004328
2018-07-20 00:44:52.372521: I T:\src\github\tensorflow\tensorflow\core\platform\cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
Data processing OK, creating network...
Traceback (most recent call last):
File "twitter-sentiment-cnn.py", line 292, in
test_batches = list(batch_iter(zip(x_test, y_test), FLAGS.batch_size, 1))
File "C:\Users\Ale\git\twitter-sentiment-cnn\data_helpers.py", line 185, in batch_iter
shuffled_data = data[shuffle_indices]
IndexError: too many indices for array