====== 强行占用20G的显存 ======

因为某些特定的原因，我们必须占用 30% 的显存

<code python use_gpu.py>
import torch
import time
device = torch.device("cuda")
total_memory = torch.cuda.get_device_properties(0).total_memory
target_memory = total_memory * 0.3
num_elements = int(target_memory / 4)
tensor = torch.randn(num_elements, dtype=torch.float32, device=device)
time.sleep(3600000000)
del tensor
torch.cuda.empty_cache()
</code>