PyTorch device与cuda.device用法介绍_python

import torch
print("Default Device : {}".format(torch.Tensor([4, 5, 6]).device))

device = torch.Tensor([1, 2, 3], device="cpu:0").device
print("Device Type: {}".format(device))

gpu = torch.device("cuda:0")
print("GPU Device:【{}：{}】".format(gpu.type, gpu.index))

print("Total GPU Count :{}".format(torch.cuda.device_count()))
print("Total CPU Count :{}".format(torch.cuda.os.cpu_count()))

data = torch.Tensor([[1, 4, 7], [3, 6, 9], [2, 5, 8]])
print(data.shape)

data_gpu = data.to(torch.device("cuda:0"))
print(data_gpu.device)

data_gpu2 = data.cuda(torch.device("cuda:0"))
# 如果只有一块gpu的话  直接写成这样：data_gpu2 = data.cuda()
print(data_gpu2.device)