For a 2-dimensional tensor, I want to normalize each row vector of it. In the formula, it’s like:

I know such code below can solve easily:

```
embedding_norm = Torch.norm(embedding.weight.data, dim=1, keepdim=True)
```

But I don’t understand why the value of parameter *dim* = *1*. I’ve read doc. where it says the value of *dim* must be an int to calculate vector norm, but why the number is *1* here?