In [1]:
import syft as sy
import torch as th
from syft.frameworks.torch.differential_privacy import pate
sy.create_sandbox(globals(), download_data=False)
import numpy as np
import math
In [2]:
x = th.tensor([1,2,3,4])
In [3]:
bob._objects
Out[3]:
In [4]:
x = x.send(bob)
In [5]:
__add__
In [ ]:
.add()