torch.cuda.device_count()返回gpu数量; torch.cuda.get_device_name(0)返回gpu名字,设备索引默认从0开始; torch.cuda.current_device() 返回当前设备索引; 如果使用GPU时,出现找不到cudnn可用,可能是因为GPU卡太老,pytorch不支持。 卷积Conv2d 示例:nn.Conv2d(1,
function is intended to be used for interoperability with other frameworks. Allocated memory is released through :func:`~torch_npu.npu.caching_allocator_delete`.Arguments: size (int): number of bytes to be allocated.device (torch.device or int, optional): selected device. If it is ...
System Info linux:ubuntu 20.04/aarch64 driver:npu-smi 23.0.rc2 CANN:Ascend-cann-toolkit_7.0.0.alpha001_linux-aarch64.run Python:3.9.18 torch:2.1.0 torch-npu:2.1.0rc1 transformers:4.34.1 accelerate:0.24.0 Information The official example ...
number of over-size reserved segments from ``cudaMalloc()``. Arguments: device (torch.device or int, optional): selected device. Returns statistics for the current device, given by :func:`~torch_npu.npu.current_device`, if :attr:`device` is ``None`` (default). .. note:: See...
number of over-size reserved segments from ``cudaMalloc()``. Arguments: device (torch.device or int, optional): selected device. Returns statistics for the current device, given by :func:`~torch_npu.npu.current_device`, if :attr:`device` is ``None`` (default). .. note:: See...
number of over-size reserved segments from ``cudaMalloc()``. Arguments: device (torch.device or int, optional): selected device. Returns statistics for the current device, given by :func:`~torch_npu.npu.current_device`, if :attr:`device` is ``None`` (default). .. note:: See...