[API Compatibility] Add some CUDA device management APIs to NONEED_CONVERT

[fxyfxy777]

PR Docs

向NO_NEED_CONVERT添加一些CUDA 设备管理类API

PR APIs

docs仓库pr：PaddlePaddle/docs#7470

"torch.cuda.current_device",
"torch.cuda.device_count",
"torch.cuda.empty_cache",
"torch.cuda.memory_allocated",
"torch.cuda.memory_reserved",
"torch.cuda.set_device",

[paddle-bot]

Thanks for your contribution!

[zhwesky2010]

这几个API修改转写方式会导致出现问题吗，有一个case通过不了

[fxyfxy777]

这几个API修改转写方式会导致出现问题吗，有一个case通过不了

我在看这个问题，还没定位到原因

[zhwesky2010]

这种也可以直接用APIBase，无需再重写了

[fxyfxy777]

好的

[zhwesky2010]

目前不支持直接set一个int吗

[fxyfxy777]

支持的，但是目前有个情况是，写0会有如下报错，改成cuda:0不会报错，本地测试0和cuda:0均可以通过，我继续定位问题
device = 0
2025-09-26 11:59:15
2025-09-26 11:59:15 def set_device(device: DeviceLike) -> None:
2025-09-26 11:59:15 if isinstance(device, int):
2025-09-26 11:59:15 # Convert int device index to string format (e.g., 0 -> 'gpu:0')
2025-09-26 11:59:15 device_place = framework.current_expected_place()
2025-09-26 11:59:15 if isinstance(device_place, core.CUDAPlace):
2025-09-26 11:59:15 device_str = f'gpu:{device}'
2025-09-26 11:59:15 elif isinstance(device_place, core.CustomPlace):
2025-09-26 11:59:15 device_str = f'{device_place.get_device_type()}:{device}'
2025-09-26 11:59:15 elif isinstance(device_place, core.XPUPlace):
2025-09-26 11:59:15 device_str = f'xpu:{device}'
2025-09-26 11:59:15 else:
2025-09-26 11:59:15 > raise ValueError(
2025-09-26 11:59:15 "Paddle-CPU is not supported. Please use PaddlePaddle with CUDA, XPU or Custom Device"
2025-09-26 11:59:15 E ValueError: Paddle-CPU is not supported. Please use PaddlePaddle with CUDA, XPU or Custom Device

[zhwesky2010]

上面问题，下个PR修改吧

[fxyfxy777]

上面问题，下个PR修改吧

好的