Is there a way to cast a federated value?

Tensor manipulating generally needs to occur inside a function decorated with tff.tf_computation. Since the types mentioned have placements (@CLIENTS) this likely is inside a tff.federated_computation decorated function, so the casting method would need to be called with tff.federated_map.

Something like this:

@tff.tf_computation
def cast_to_float(x):
  return tf.cast(x, tf.float32)

@tff.federated_computation(tff.FederatedType(int32, tff.CLIENTS))
def my_func(a):
  a_float = tff.federated_map(cast_to_float, a)
  return a_float

print(my_func.type_signature)

>>> ({int32}@CLIENTS -> {float32}@CLIENTS)

It can be done using tf.cast(), however using @tff.federated_computation().