def __call__(self, state, value, weight=None):
"""Performs an aggregate of value@CLIENTS, with optional weight@CLIENTS.
This is a function intended to (only) be invoked in the context
of a `tff.federated_computation`. It shold be compatible with the
TFF type signature
```
(state@SERVER, value@CLIENTS, weight@CLIENTS) ->
(state@SERVER, aggregate@SERVER).
```
Args:
state: A `tff.Value` placed on the `tff.SERVER`.
value: A `tff.Value` to be aggregated, placed on the `tff.CLIENTS`.
weight: An optional `tff.Value` for weighting values, placed on the
`tff.CLIENTS`.
Returns:
A tuple of `tff.Value`s (state@SERVER, aggregate@SERVER) where
* state: The updated state.
* aggregate: The result of the aggregation of `value` weighted by
`weight.
"""
return self._next_fn(tff.to_value(state), tff.to_value(value),
tff.to_value(weight))
def __call__(self, state, value):
"""Performs a broadcast of value@SERVER, producing value@CLIENTS.
This is a function intended to (only) be invoked in the context
of a `tff.federated_computation`. It shold be compatible with the
TFF type signature
`(state@SERVER, value@SERVER) -> (state@SERVER, value@CLIENTS)`.
Args:
state: A `tff.Value` placed on the `tff.SERVER`.
value: A `tff.Value` to be broadcast to the `tff.CLIENTS`.
Returns:
A tuple of `tff.Value`s (state@SERVER, value@CLIENTS) where
* state: The updated state.
* aggregate: The `value` now placed (communicated) to the
`tff.CLIENTS`.
"""
return self._next_fn(tff.to_value(state), tff.to_value(value))
def __call__(self, state, *args, **kwargs):
"""Performs the stateful function call.
Args:
state: A `tff.Value` placed on the `tff.SERVER`.
*args: Arguments to the function.
**kwargs: Arguments to the function.
Returns:
A tuple of `tff.Value`s (state@SERVER, ...) where
* state: The updated state, to be passed to the next invocation
of call.
* ...: The result of the aggregation.
"""
return self._next_fn(tff.to_value(state), *args, **kwargs)
def one_arg_initialize(one_arg):
del one_arg # unused
return tff.to_value(0)
