TypeError: '>' not supported between instances of 'NoneType' and 'int'

[vishwa94sai]

/usr/local/lib/python3.6/dist-packages/tf_metrics/init.py in precision(labels, predictions, num_classes, pos_indices, weights, average)
40 """
41 cm, op = _streaming_confusion_matrix(
---> 42 labels, predictions, num_classes, weights)
43 pr, _, _ = metrics_from_confusion_matrix(
44 cm, pos_indices, average=average)

/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/metrics_impl.py in _streaming_confusion_matrix(labels, predictions, num_classes, weights)
262
263 # Flatten the input if its rank > 1.
--> 264 if predictions.get_shape().ndims > 1:
265 predictions = array_ops.reshape(predictions, [-1])
266

TypeError: '>' not supported between instances of 'NoneType' and 'int'

In python 3, the comparison operators raise an error. Refer to -> https://docs.python.org/3/whatsnew/3.0.html#ordering-comparisons
The ordering comparison operators (<, <=, >=, >) raise a TypeError exception when the operands don’t have a meaningful natural ordering. Thus, expressions like 1 < '', 0 > None or len <= len are no longer valid, and e.g. None < None raises TypeError instead of returning False. A corollary is that sorting a heterogeneous list no longer makes sense – all the elements must be comparable to each other. Note that this does not apply to the == and != operators: objects of different incomparable types always compare unequal to each other.