import torch
import sys
x = torch.tensor([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]])
y = torch.tensor([[1, 1, 1, 1, 1], [1, 1, 1, 1, 1]])
z = [x, y]
for i in z:
    pass
standard = {}
for index, param in enumerate(y):
    standard[index] = param
for index, param in enumerate(x):
    param.data += -param.data + standard[index]
print(x)
for index, param in enumerate(y):
    param.data -= 100
print(x)
print(torch.randn(3))

103cdb042d6c177de426f678ca452008e604d2fe
<mask token>

<mask token>
for i in z:
    pass
<mask token>
for index, param in enumerate(y):
    standard[index] = param
for index, param in enumerate(x):
    param.data += -param.data + standard[index]
print(x)
for index, param in enumerate(y):
    param.data -= 100
print(x)
print(torch.randn(3))

<mask token>
x = torch.tensor([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]])
y = torch.tensor([[1, 1, 1, 1, 1], [1, 1, 1, 1, 1]])
z = [x, y]
for i in z:
    pass
standard = {}
for index, param in enumerate(y):
    standard[index] = param
for index, param in enumerate(x):
    param.data += -param.data + standard[index]
print(x)
for index, param in enumerate(y):
    param.data -= 100
print(x)
print(torch.randn(3))

import torch
import sys
x = torch.tensor([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]])
y = torch.tensor([[1, 1, 1, 1, 1], [1, 1, 1, 1, 1]])
z = [x, y]
for i in z:
    pass
standard = {}
for index, param in enumerate(y):
    standard[index] = param
for index, param in enumerate(x):
    param.data += -param.data + standard[index]
print(x)
for index, param in enumerate(y):
    param.data -= 100
print(x)
print(torch.randn(3))
