How to forget memory with the jemalloc strategy. about async-rdma HOT 2 OPEN

This is my code

fn rdma_get_item<'a>(&mut self, py: Python<'a>) -> PyResult<&'a PyArray<u8, Dim<[usize; 1]>>> {
    let mut lmr = some_function();
    let lmr_len = (&lmr).length();
    let lmr_data_ptr = *lmr.as_mut_ptr();
    let lmr_data = unsafe { Vec::from_raw_parts(lmr_data_ptr, lmr_len, lmr_len) };

    std::mem::forget(lmr);

    let py_array = lmr_data.into_pyarray(py);
    Ok(py_array)
}

from async-rdma.

jemalloc strategy does not give up this memory even lmr.drop() is not called.
I don’t quite understand the meaning of this sentence.
Do you mean: Je free the memory even drop is not called?

I think lmr.drop() -> jemalloc::free() will not be called if you use forget(lmr), and the memory should keep the allocated state(is this what you mean give up?).

But, we have not conducted any analysis or testing on transferring MR between different frameworks. Welcome contributions of complete application cases and discussions on potential issues.

from async-rdma.