做一个善读者作文
torch.randn(size)
torch.rand(size)
⽤法
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总量调控管理试行办法
torch.randn()：⽣成满⾜标准正态分布（0~1）的随机张量torch.rand()：返回从区间[0, 1)的均匀分布中抽取的⼀组随机数
⽰例
import torch
import numpy as np
a = al(10,2,(2,3))
b = torch.randn((3,4))
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c = torch.rand((4,5))
NORWAL
print(a)
print(b)
print(c)
>>>tensor([[13.6814, 6.1459, 8.2079],
[ 8.4074, 7.3686, 12.5890]])
tensor([[ 0.7213, -0.6970, 1.5204, 0.0059],
[ 2.3095, -0.6058, 0.9244, 0.4169],
[-0.0146, 0.7050, 0.4710, -0.2338]])
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tensor([[0.4213, 0.6088, 0.3365, 0.6926, 0.4170],
[0.0060, 0.6874, 0.2774, 0.5824, 0.9821],erd
[0.9799, 0.6080, 0.8078, 0.4144, 0.4762],
[0.3729, 0.8740, 0.8804, 0.8167, 0.1810]])
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