def baz(x): return intrinsics.federated_apply(bar, x)
def foo(x): val = intrinsics.federated_apply( computations.tf_computation(lambda x: x * x), x) self.assertIsInstance(val, value_base.Value) return val
def bar(x): return intrinsics.federated_apply(foo, x)
def comp(): return_five = computations.tf_computation(lambda: 5) five_at_server = intrinsics.federated_eval( return_five, placement_literals.SERVER) six_at_server = intrinsics.federated_apply(add_one, five_at_server) return six_at_server
def comp(): return intrinsics.federated_apply( add_one, intrinsics.federated_value(10, placements.SERVER))
def comp(x): return intrinsics.federated_apply(add_one, x)
def comp(x): return intrinsics.federated_apply(_identity, x)
def bar(): x = intrinsics.federated_value(make_dataset(), placements.CLIENTS) return intrinsics.federated_apply( foo, intrinsics.federated_collect(intrinsics.federated_map(foo, x)))
def foo(x, y): return intrinsics.federated_apply( computations.tf_computation(lambda x, y: x > 10, [tf.int32, tf.int32]), [x, y])
def foo(x): return intrinsics.federated_apply( computations.tf_computation(lambda x: x > 10, tf.int32), x)