cuda = torch.device('cuda') # 默认CUDA设备 cuda0 = torch.device('cuda:0') cuda2 = torch.device('cuda:2') # GPU 2 (these are 0-indexed) x =torch.tensor([1., 2.], device=cuda0) # x.device is device(type='cuda', index=0) y = torch.tensor([1., 2.]).cuda() # y.d...
device_type, device_index=0 )[source]¶ Context-managertonestthedevicespec. Examples: withdali.device('cuda',0):pass Parameters: device_type({'cpu','gpu','cuda'},required)–Thetypeofdevice. device_index(int,optional,default=0)–Theindexofthedevice....
importtorchtorch.set_default_device(device=0)# Heretorch.tensor([0,1,2]).device# device(type='cuda', index=0) Suggest a potential alternative/fix The docshould also sayinttype as shown below: device (device, string orint) – the device to set as default ...
c10/core/DeviceType.h c10/core/DeviceType.cpp enumclassDeviceTypeint64_t{CPU=0;CUDA=1;...;XLA=9;// you can add more device};boolisValidDeviceType(DeviceTyped);std::stringDeviceTypeName(DeviceTyped,boollower_case=false); c10/core/Device.h c10/core/Device.cpp namespacec10{usingDeviceIndex...
Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument index in method wrapper__index_select) 数据不在同一设备 将device = d2l.try_gpu() 改为device = torch.device('cpu')...
RuntimeError: Function AddBackward0 returned an invalid gradient at index 1 - expected type torch.cuda.FloatTensor but got torch.FloatTensor RuntimeError: Expected object of device type cuda but got device type cpu for argument #2 'target' in call to _thnn_l1_loss_forward 这种报错通常有几种...
[CUDA] Fix more DeviceIndex printing (#128540) Browse files Same `char` dtype causing device index `0` to be interpreted as a null-terminator, see also #123984 Pull Request resolved: #128540 Approved by: https://github.com/nWEIdia, https://github.com/Skylion007...
RuntimeError: Expected a 'cuda' device type for generator but found 'cpu' 通常、ロスなどを取るときなどに、片方はGPUで片方がCPUだと計算できないよ、というものが、なんと学習する前のデータロードするタイミングで...知らんわ笑 ...
RuntimeError: CUDA error: device-side assert triggered 1. 的报错,在网上找了好久,大部分遇到的错误是类别数量不匹配导致的CUDA error或者有遇到相同错误的并没有给出具体的解答。 /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:60: lambda [](int)->auto::operator()(int)->auto: block: [0,0,...
ExecutionCUDA nvmath.fft.ExecutionCPU nvmath.fft.DeviceCallable Device APIs Device API utilities nvmath.device.current_device_lto nvmath.device.float16x2 nvmath.device.float16x4 nvmath.device.float32x2 nvmath.device.float64x2 nvmath.device.float16x2_type nvmath.device.float16x4_type nvmath....