How to use a tensorflow metric function in keras? #6050
Description
using python 3.5.2 tensorflow rc 1.1
I'm trying to use a tensorflow metric function in keras. the required inteface seems to be the same, but calling:
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=[tensorflow.metrics.auc])
results with the error:
Using TensorFlow backend.
Traceback (most recent call last):
File "/Users/ophir/dev/ophir/tf_keras_metrics.py", line 49, in <module>
metrics=[precision, recall, tensorflow.metrics.auc]
File "/Users/ophir/anaconda3/envs/p3/lib/python3.5/site-packages/keras/engine/training.py", line 956, in compile
metric_result = masked_metric_fn(y_true, y_pred, mask=masks[i])
File "/Users/ophir/anaconda3/envs/p3/lib/python3.5/site-packages/keras/engine/training.py", line 489, in masked
return K.mean(score_array)
File "/Users/ophir/anaconda3/envs/p3/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py", line 1120, in mean
axis = _normalize_axis(axis, ndim(x))
File "/Users/ophir/anaconda3/envs/p3/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py", line 437, in ndim
dims = x.get_shape()._dims
AttributeError: 'tuple' object has no attribute 'get_shape'
Process finished with exit code 1