def dot(self, other: 'FixedPointTensor', target_name=None):
spdz = self.get_spdz()
if target_name is None:
target_name = NamingService.get_instance().next()
a, b, c = beaver_triplets(a_tensor=self.value,
b_tensor=other.value,
dot=table_dot,
q_field=self.q_field,
he_key_pair=(spdz.public_key,
spdz.private_key),
communicator=spdz.communicator,
name=target_name)
x_add_a = (self + a).rescontruct(f"{target_name}_confuse_x")
y_add_b = (other + b).rescontruct(f"{target_name}_confuse_y")
cross = c - table_dot_mod(a, y_add_b, self.q_field) - table_dot_mod(
x_add_a, b, self.q_field)
if spdz.party_idx == 0:
cross += table_dot_mod(x_add_a, y_add_b, self.q_field)
cross = cross % self.q_field
cross = self.endec.truncate(cross, self.get_spdz().party_idx)
share = fixedpoint_numpy.FixedPointTensor(cross, self.q_field,
self.endec, target_name)
return share
def __init__(self, value, q_field, endec, tensor_name: str = None):
super().__init__(q_field, tensor_name)
self.value = value
self.endec = endec
self.tensor_name = NamingService.get_instance().next(
) if tensor_name is None else tensor_name
def __init__(self, q_field, tensor_name: str = None):
self.q_field = q_field
self.tensor_name = NamingService.get_instance().next(
) if tensor_name is None else tensor_name