pytorch 数据的基本操作

X x.reshape(3, 4)
print(X)

zeros_4 torch.zeros((4, 4))
ones_3 torch.ones((3, 3))
print(zeros_4)
print(ones_3)

y torch.tensor([[2,1,4,3], [1,2,3,4], [4,3,2,1]])
print(y)

x torch.tensor([1.0, 2, 4, 8])
y torch.tensor([2, 2, 2, 2])

x torch.arange(12, dtype torch.float32).reshape((3,4))
y torch.tensor([[2,1,4,3], [1,2,3,4], [4,3,2,1]])
print(x)
print(y)

x torch.arange(12)
A x.numpy()
B torch.tensor(A)
print(type(A), A)
print( type(B), B)

a torch.tensor([3.5])
print(a)
print(a.item())
print(float(a))
print(int(a))