Why set_lora_device doesn't work

### Describe the bug

When I load serverl loras with set_lora_device(), the GPU memory continues to grow, cames from 20G to 25G, this function doesn't work

### Reproduction

for key in lora_list:
weight_name = key + ".safetensors"
pipe.load_lora_weights(lora_path, weight_name=weight_name, adapter_name=key, local_files_only=True)
adapters = pipe.get_list_adapters()
print(adapters)
pipe.set_lora_device([key], torch.device('cpu'))

### Logs

_No response_

### System Info

V100 32G
diffusers 0.32.0.dev0
torch 2.0.1+cu118
peft 0.12.0

### Who can help?

_No response_

Start at the set_lora_device() entry point and reproduce the loop with the reported diffusers, torch, and peft versions. Compare GPU memory after each load and device move; done means the reported growth is explained and the issue has a verified fix or a documented limitation.

Scritto dal modello di indicizzazione a partire dal testo della issue.