#检查PyTorch-cuda-cudnn版本 import torch torch.version # PyTorch version torch.version.cuda # Corresponding CUDA version torch.backends.cudnn.version() # Corresponding cuDNN version torch.cuda.get_device_name(0) # GPU type
import torch print(torch.__version__) print('CUDA available: ' + str(torch.cuda.is_available())) print('cuDNN version: ' + str(torch.backends.cudnn.version())) a = torch.cuda.FloatTensor(2).zero_() print('Tensor a = ' + str(a)) b = torch.randn(2).cuda() print('Tensor b = ' + str(b)) c = a + b print('Tensor c = ' + str(c)) import torchvision print(torchvision.__version__)