do you mean using a normal distribution, it fill tensor with random numbers from a normal distribution, with mean 0, std 1, or we could specify mean and std, something like,
import torch, torch.nn as nn, seaborn as sns
x = nn.Linear(100, 100)
nn.init.normal_(x.weight, mean=0, std=1.0)

we could also see our distribution of weight matrix,
sns.distplot(x.weight.detach().numpy())