[人工智能]Pysyft实验20220222

Pysyft实验20220222
@程序员也会giao

通过指针移动数据

import syft as sy
import torch
from torch import nn
from torch import optim

hook = sy.TorchHook(torch)

bob = sy.VirtualWorker(hook, id = "bob")
alice = sy.VirtualWorker(hook, id = "alice")

x = torch.tensor([1,2,3,4,5]).send(bob)

现在指针指向bob，数据发送给了bob

print('  bob:', bob._objects)
print('alice:',alice._objects)
x

输出看到bob有数据，alice没有，x为me指向bob的指针

  bob: {1108984722: tensor([1, 2, 3, 4, 5])}
alice: {}
(Wrapper)>[PointerTensor | me:32268898849 -> bob:1108984722]

通过指针.move()操作将数据移动给alice

x = x.move(alice)

print('  bob:', bob._objects)
print('alice:',alice._objects)

可以看到数据已经给了alice

  bob: {}
alice: {1108984722: tensor([1, 2, 3, 4, 5])}

接着查看这个指针，可以看到指向alice

x
(Wrapper)>[PointerTensor | me:32268898849 -> alice:1108984722]