A hyperparameter in a lambda layer

[Morz114114]

I'm implementing a custom lambda layer in Keras. According to my guide, it should take in the previous variable (x) and multiply it with a learning rate.
y2= Lambda(lambda x: x/lr)(y1)
But this way, it need the lr to be specified ahead of time:
lr=0.2
y2= Lambda(lambda x: x/lr)(y1)
But what I need is something that take in the lr as a parameter which variable in each iteration, something like the following code:

y2= Lambda(lambda x: x/lr)(y1)
...
lr=1
for i in range(epochs):
lr=lr/1.0001
loss=Model.tain_on_batch(.....)

that means I need the lr not to be specified as a fixed parameter so that it can change over time. Any help?

[sushreebarsa]

@Morz114114 Moving this issue to closed status as there has been no recent activity, in case you still face the error please create a new issue.Thanks!