How to release GPU memory after each inference?

**Situation**
- I want to run multiple models in the same GPU, but onnxruntime-genai (`ort-genai`) does not release the GPU RAM after each inference. I want to find a way to optimize the GPU memory after each inference turn.

**I have tried**
1. Add
```
if torch.cuda.is_available():
torch.cuda.empty_cache()
torch.cuda.ipc_collect()
```
after each inference, but it does not work, I guest the RAM is claimed by `ort-genai` not torch.

2. Research: as in `onnxruntime` (with out genai), there's some config option to [shrink GPU memory](https://github.com/microsoft/onnxruntime/issues/11801#issuecomment-1303914681) after each run to release the memory, but I have not found any way to do the same in ort-genai.

**Some of the possible way I can think of:**
- Run `ort-genai` in a thread (not sure how)
- Use `onnxruntime `config (I guess there should be some way to config the father class?)

In best scenario, I want to release the available memory, keep the model to use later, otherwise, I wonder if I can remove the `onnnxruntime-genai.Model` instance to get back the memory.

Hope to hear every suggestion to achieve this.
Thank you for your time!