def offline(self, input_mask):
PhaseProtocolServer.offline(self)
self.compute_core.encode_input_to_fhe_batch(input_mask)
self.blob_input_cts.send(self.compute_core.input_cts)
self.compute_core.output_cts = self.blob_output_cts.get_recv()
self.output_c = self.compute_core.decode_output_from_fhe_batch().cuda(
).double()
def offline(self, weight_tensor):
PhaseProtocolServer.offline(self)
self.compute_core.input_cts = self.blob_input_cts.get_recv()
self.compute_core.compute_conv2d(weight_tensor)
self.compute_core.masking_output()
self.blob_output_cts.send(self.compute_core.output_cts)
self.output_mask_s = self.compute_core.output_mask_s.cuda().double()
def offline(self):
PhaseProtocolServer.offline(self)
self.u_s = self.generate_random().to(Config.device)
self.v_s = self.generate_random().to(Config.device)
self.z_s = self.generate_random().to(Config.device)
fhe_u = self.blob_fhe_u.get_recv()
fhe_u += self.fhe_builder.build_plain_from_torch(self.u_s)
fhe_v = self.blob_fhe_v.get_recv()
fhe_v += self.fhe_builder.build_plain_from_torch(self.v_s)
fhe_z = fhe_u
fhe_z *= fhe_v
fhe_z_c = fhe_z
fhe_z_c -= self.fhe_builder.build_plain_from_torch(self.z_s)
self.blob_fhe_z_c.send(fhe_z_c)
del fhe_u, fhe_v, fhe_z, fhe_z_c
def offline(self):
PhaseProtocolServer.offline(self)
def offline(self):
PhaseProtocolServer.offline(self)
self.input_mask_s = generate_random_mask(
self.modulus, self.num_elem).to(self.comp_device)