Is it good to add an arg "use_thread" in asyncify function?

[monchin]

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Example Code

Hi here.
I have read [asyncer's doc about `asyncify`](https://asyncer.tiangolo.com/tutorial/asyncify/), it's really convenient. But the doc just said 

asyncify() takes the sync (blocking) function that you want to call and then returns another async function that takes the actual arguments for the original sync function.
Then you can await that and get the return value that was safely executed in a "worker thread" without blocking the event loop.

If I didn't see the second paragraph above, I would believe that any sync function could be asyncified by asyncify. So I read the code of asyncify

async def wrapper(
    *args: T_ParamSpec.args, **kwargs: T_ParamSpec.kwargs
) -> T_Retval:
    partial_f = functools.partial(function, *args, **kwargs)
    return await anyio.to_thread.run_sync(
        partial_f, cancellable=cancellable, limiter=limiter
    )

It uses `anyio.to_thread.run_sync`

Description

If the sync function is IO-intensive, asyncify would be great. But if the sync function is CPU-intensive, asyncify would not work because of GIL. For this situation, anyio offers to_process.
So my point is, if it is good to offer a bool arg use_thread in asyncify to make sure whether use to_thread or to_process? Or offer a new function asyncify_to_process? At lease I think now the doc should show that asyncify would be appropriate only when the sync function is IO-intensive.

Operating System

Linux

Operating System Details

No response

asyncer Version

0.0.7

Python Version

3.10.12

Additional Context

No response