Hi there, please check the torch.asarray β PyTorch 2.0 documentation example:

```
>>> a = torch.tensor([1, 2, 3], requires_grad=True).float()
>>> b = a + 2
>>> b
tensor([1., 2., 3.], grad_fn=<AddBackward0>)
```

I tried this script and it shows:

```
>>> a = torch.tensor([1, 2, 3], requires_grad=True).float()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
RuntimeError: Only Tensors of floating point and complex dtype can require gradients
>>> a = torch.tensor([1.0, 2, 3], requires_grad=True).float()
>>> a
tensor([1., 2., 3.], requires_grad=True)
>>> b = a+ 2
>>> b
tensor([3., 4., 5.], grad_fn=<AddBackward0>)
>>>
```

Do I miss something? Looking forward to your advice. Thanks.