Tensor创建编程实例

import torch
'''几种特殊的tensor'''
a = torch.Tensor([[1,2], [3,4]])
print(a)
print(a.type())

a = torch.Tensor(2,3)
print(a)
print(a.type())

a = torch.ones_like(a)
print(a)
print(a.type())

a = torch.zero_(a)
print(a)
print(a.type())

a= torch.eye(2,4)
print(a)
print(a.type())
'''随机'''
b= torch.rand(2, 2)
print(b)
print(b.type())

a = torch.normal(mean=0.0, std=torch.rand(5))
print(a)
print(a.type())

"""随机"""
a = torch.rand(2, 2)
print(a)
print(a.type)
# 
a = torch.normal(mean=0.0, std=torch.rand(5))
print(a)
print(a.type())

a = torch.normal(mean=torch.rand(5), std=torch.rand(5))
print(a)
print(a.type())

'''序列'''
a = torch.arange(0, 11, 1)
print(a)
print(a.type())

a = torch.linspace(2, 10, 4)#拿到等间隔的4个数字
print(a)
print(a.type())

a  = torch.randperm(10)
print(a)
print(a.type())

import numpy as  np
a = np.array([[1,2], [2,3]])
print(a)
a = torch.Tensor(2, 2).uniform_(-1, 1)
print(a)
print(a.type())