tff.learning.metrics.MetricsAggregatorType

Base class for protocol classes.

Protocol classes are defined as::

class Proto(Protocol):
    def meth(self) -> int:
        ...

Such classes are primarily used with static type checkers that recognize structural subtyping (static duck-typing), for example::

class C:
    def meth(self) -> int:
        return 0

def func(x: Proto) -> int:
    return x.meth()

func(C())  # Passes static type check

See PEP 544 for details. Protocol classes decorated with @typing.runtime_checkable act as simple-minded runtime protocols that check only the presence of given attributes, ignoring their type signatures. Protocol classes can be generic, they are defined as::

class GenProto(Protocol[T]):
    def meth(self) -> T:
        ...

Methods

__call__

View source

__call__(
    metric_finalizers: tff.learning.metrics.MetricFinalizersType,
    local_unfinalized_metrics_type: Optional[tff.types.StructWithPythonType] = None
) -> tff.Computation

Call self as a function.