PyTorch 1.0 中文文档：torch.Tensor

翻译

wizardforcel 2023-05-05 11:26:50

文章标签 数据类型数组 Python 文章分类 JavaScript 前端开发

译者：hijkzzz

torch.Tensor 是一种包含单一数据类型元素的多维矩阵.

Torch定义了八种CPU张量类型和八种GPU张量类型：

Data type	dtype	CPU tensor	GPU tensor
32-bit floating point	`torch.float32` or `torch.float`	`torch.FloatTensor`	`torch.cuda.FloatTensor`
64-bit floating point	`torch.float64` or `torch.double`	`torch.DoubleTensor`	`torch.cuda.DoubleTensor`
16-bit floating point	`torch.float16` or `torch.half`	`torch.HalfTensor`	`torch.cuda.HalfTensor`
8-bit integer (unsigned)	`torch.uint8`	torch.ByteTensor	`torch.cuda.ByteTensor`
8-bit integer (signed)	`torch.int8`	`torch.CharTensor`	`torch.cuda.CharTensor`
16-bit integer (signed)	`torch.int16` or `torch.short`	`torch.ShortTensor`	`torch.cuda.ShortTensor`
32-bit integer (signed)	`torch.int32` or `torch.int`	`torch.IntTensor`	`torch.cuda.IntTensor`
64-bit integer (signed)	`torch.int64` or `torch.long`	`torch.LongTensor`	`torch.cuda.LongTensor`

torch.Tensor 是默认的tensor类型 (torch.FloatTensor) 的简称.

Tensor 可以用torch.tensor()转换Python的 list 或序列生成：

>>> torch.tensor([[1., -1.], [1., -1.]])
tensor([[ 1.0000, -1.0000],
 [ 1.0000, -1.0000]])
>>> torch.tensor(np.array([[1, 2, 3], [4, 5, 6]]))
tensor([[ 1,  2,  3],
 [ 4,  5,  6]])

警告

torch.tensor() 总是拷贝 data. 如果你有一个 Tensor data 并且仅仅想改变它的 requires_grad 属性, 可用 requires_grad_() or detach() 来避免拷贝. 如果你有一个 numpy 数组并且想避免拷贝, 请使用 torch.as_tensor().