# pytorch中tensor张量的创建

import torch
import numpy as np

print(torch.tensor([1,2,3]))
print(torch.tensor(np.arange(15).reshape(3,5)))
print(torch.empty([3,4]))
print(torch.ones([3,4]))
print(torch.zeros([3,4]))
#0-1之间的随机数
print(torch.rand([2,3]))
#3-10之间的随机整数
print(torch.randint(3,10,(2,2)))
#正态分布，均值为0，方差为1
print(torch.randn([3,4]))

D:\anaconda\python.exe C:/Users/liuxinyu/Desktop/pytorch_test/day1/tensor.py
tensor([1, 2, 3])
tensor([[ 0,  1,  2,  3,  4],
[ 5,  6,  7,  8,  9],
[10, 11, 12, 13, 14]], dtype=torch.int32)
tensor([[0., 0., 0., 0.],
[0., 0., 0., 0.],
[0., 0., 0., 0.]])
tensor([[1., 1., 1., 1.],
[1., 1., 1., 1.],
[1., 1., 1., 1.]])
tensor([[0., 0., 0., 0.],
[0., 0., 0., 0.],
[0., 0., 0., 0.]])
tensor([[0.5792, 0.9149, 0.3303],
[0.6756, 0.5236, 0.0648]])
tensor([[9, 3],
[4, 7]])
tensor([[ 1.2060, -0.8728, -0.6619,  1.2589],
[-0.8896, -0.1648, -0.0978, -0.8487],
[ 0.2621,  0.9406,  0.0079,  0.0284]])

Process finished with exit code 0


posted @ 2020-02-10 21:51  高颜值的殺生丸  阅读(534)  评论(0编辑  收藏