I want to train a model with a custom loss function, in order to do that, I need to convert the tensor to numpy array inside the method below:
def median_loss_estimation(y_true, y_predicted):
a = y_predicted.numpy()
but I have this error:
AttributeError: 'Tensor' object has no attribute 'numpy'
Why? How can I convert the tensor to a numpy array?
The answer is: put run_eagerly=True in model.compile!
You're doing the right thing, only Tensorflow 2.1 is currently broken in that aspect. This would normally happen if you run the code without eager mode enabled. However, Tensorflow 2 by default runs in eager mode... or at least it should. The issue is tracked here.
There are at least two solutions to this:
model.run_eagerly = True. 
model.run_eagerly = True the error remains!
2.0.1, 2.1.0, 2.2.0rc2, tb-nightly (2.3.0something) and I got every time the same error!