WARNING:tensorflow:sample_weight modes were coerced from ... to ['...']

Question

Training an image classifier using .fit_generator() or .fit() and passing a dictionary to class_weight= as an argument.

I never got errors in TF1.x but in 2.1 I get the following output when starting training:

WARNING:tensorflow:sample_weight modes were coerced from   ...     to     ['...'] 

What does it mean to coerce something from ... to ['...']?

The source for this warning on tensorflow's repo is here, comments placed are:

Attempt to coerce sample_weight_modes to the target structure. This implicitly depends on the fact that Model flattens outputs for its internal representation.

Answer 1

This seems like a bogus message. I get the same warning message after upgrading to TensorFlow 2.1, but I do not use any class weights or sample weights at all. I do use a generator that returns a tuple like this:

return inputs, targets 

And now I just changed it to the following to make the warning go away:

return inputs, targets, [None] 

I don't know if this is relevant, but my model uses 3 inputs, so my inputs variable is actually a list of 3 numpy arrays. targets is just a single numpy array.

In any case, it's just a warning. The training works fine either way.

Edit for TensorFlow 2.2:

This bug seems to have been fixed in TensorFlow 2.2, which is great. However the fix above will fail in TF 2.2, because it will try to get the shape of the sample weights, which will obviously fail with AttributeError: 'NoneType' object has no attribute 'shape'. So undo the above fix when upgrading to 2.2.