如何向PyTorch中的张量添加一些高斯噪声？

import torch
import torch.nn as nn

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

mean = 0
std = 0.1

noise = torch.randn(tensor.size()) * std + mean

noisy_tensor = tensor + noise

import torch
import torch.nn as nn

# 创建一个张量
tensor = torch.tensor([1, 2, 3, 4, 5])

# 定义高斯噪声的均值和标准差
mean = 0
std = 0.1

# 生成高斯噪声
noise = torch.randn(tensor.size()) * std + mean

# 将高斯噪声添加到张量中
noisy_tensor = tensor + noise

print(noisy_tensor)