資料內(nèi)容：
TENSORS
Simply put, TENSORS are a generalization of vectors and matrices.
In PyTorch, they are a multi-dimensional matrix containing elements
of a single data type.
>>> import torch
>>> t = torch.tensor([[1., -1.], [1., -1.]])
>>> t
tensor([[ 1., -1.]
[ 1., -1.]])
>>> t.dtype # They have a type
torch.float32
