问题
I'm implementing a custom Layer with the Keras API (working with TF2.0-beta). I want to use the epoch number in my calculation in order to decay a parameter over time (meaning - in the call() method).
I'm used to tf.get_global_step() but understand that TF deprecated all global scopes, and definitely for a good reason.
If I had the model instance, I could use model.optimizer.iterations, but I'm not sure how I get the instance of my parent model when I'm implementing a Layer.
Do I have any way to do that or the only way is to let the layer expose a Callback that will update the parameter I want to decay? Other ideas? Ideally something that wouldn't make the user of the layer aware of that inner detail (that's why I don't like the Callback approach - user has to add them to the model).
来源：https://stackoverflow.com/questions/56621663/can-i-access-what-was-once-tf-get-global-step-from-within-a-custom-keras-lay