What does `overload_name` mean in `native_functions.yaml`?

1

As what I asked, I see there are some rules for defining functions in native_functions.yaml:

- func: func_name[.overload_name](ArgType arg0[=default], ArgType arg1[=default], ...) -> Return

I read this, but it didn’t explain the overload_name’s meaning.

For example:

- func: bernoulli_.float(Tensor(a!) self, float p=0.5, *, Generator? generator=None) -> Tensor(a!)

I think it means overloading implementation for t.bernoulli() wehn t’s dtype is float. But for:

- func: bernoulli_.Tensor(Tensor(a!) self, Tensor p, *, Generator? generator=None) -> Tensor(a!)

What does this mean? I can’t understand. Glad for your help or docs.

2

Oh, I got this,

.Tensor means p is passed as a tensor.