What is the relationship between `torch.Tensor`

and `torch.FloatTensor`

? In the Pytorch document, its says that `torch.Tensor`

is an alias for` torch.FloatTensor`

. I don’t quiet understand what this means.

For example, I created a tensor `x`

using `torch.tensor`

function which should return an instance of `torch.Tensor`

class.

```
>>> x = torch.tensor([1., 2.])
>>> isinstance(x, torch.Tensor)
True
>>> isinstance(x, torch.FloatTensor)
True
>>> issubclass(torch.FloatTensor, torch.Tensor)
False
```

It turns out `x`

is an instance of `torch.FloatTensor`

as well as `torch.Tensor`

. So, I initially thought that `torch.FloatTensor`

was a subclass of `torch.Tensor`

, which it turned out that it **wasn’t**!!

How is this possible that `x`

is an instance of both `torch.FloatTensor`

and `torch.Tensor`

when these two classes are not in inheritence relationship?

Also, what is the relationship between `torch.Tensor`

and `torch.FloatTensor`

and how are they different?