I am using a function in TensorFlow which maps a set of tensors to another arrangement of tensors. For example, you might write:
data = data.map(_function)
def _function(a, b, c):
return (a + 1, b, c)
So here, you pass _function as a function variable to map, and map passes it three tensors, which are mutated in some way (here, just adding one) and returned.
My question is: Is there a way to pass in additional variables to _function?
If I want to perform a + x, and not a + 1, then how could I pass in the additional variable?
You can't do something like: data.map(_function(x)) because then you're passing the result of a function, not the function itself.
I've experimented with *arg, but I can't find a way. Any help is greatly appreciated.