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Created 5 years ago
%matplotlib inline
import matplotlib.pyplot as plt
plt.plot([2,5,6],[6,3,1])[<matplotlib.lines.Line2D at 0x1e432ec7390>]
plt.plot([2,4,6,8,10],[6,3,8,2,9],label='l')
plt.xlabel('x')
plt.ylabel('y')
plt.title('title')
plt.legend()
plt.text(5,5,'text')
plt.show()
import torch
t2=torch.tensor([[0,1,2],[3,4,5]])
print(t2)
print('数据={}'.format(t2))
print(t2.reshape(3,2))
print(t2+1)
print('大小={}'.format(t2.size()))
print('维度={}'.format(t2.dim()))
print('元素个数={}'.format(t2.numel()))tensor([[0, 1, 2],
[3, 4, 5]])
数据=tensor([[0, 1, 2],
[3, 4, 5]])
tensor([[0, 1],
[2, 3],
[4, 5]])
tensor([[1, 2, 3],
[4, 5, 6]])
大小=torch.Size([2, 3])
维度=2
元素个数=6
t1=torch.empty(2)
t2=torch.zeros(2,2)
t3=torch.ones(2,2,2)
t4=torch.full((2,2,2,2),3.)
print(t1,"\n",t2,"\n",t3,"\n",t4) tensor([0., 0.])
tensor([[0., 0.],
[0., 0.]])
tensor([[[1., 1.],
[1., 1.]],
[[1., 1.],
[1., 1.]]])
tensor([[[[3., 3.],
[3., 3.]],
[[3., 3.],
[3., 3.]]],
[[[3., 3.],
[3., 3.]],
[[3., 3.],
[3., 3.]]]])
import torch
print("1=",torch.arange(0,4,step=1))
print("2=",torch.linspace(0,5,steps=4))
print("3=",torch.logspace(0,3,steps=4))1= tensor([0, 1, 2, 3])
2= tensor([0.0000, 1.6667, 3.3333, 5.0000])
3= tensor([ 1., 10., 100., 1000.])