torch.device
时间: 2023-10-17 16:23:10 浏览: 16
torch.device is a class in PyTorch that represents a particular device on which the tensor computations can be executed. It can be used to specify whether the computation should be carried out on a CPU or a GPU.
Example Usage:
```
import torch
# specify device as CPU
device = torch.device("cpu")
# specify device as GPU
device = torch.device("cuda")
```
相关问题
torch.device()
torch.device() is a function in PyTorch that returns a device object representing the current device. It can be used to set the device for a tensor or a model, to move tensors between devices, and to check the current device used by PyTorch.
For example, the following code sets the device to GPU if available, otherwise to CPU:
```
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
```
And the following code moves a tensor to the specified device:
```
x = torch.randn(3, 3)
x = x.to(device)
```
device = torch.device
= torch.device是PyTorch中用于指定设备的类。可以通过该类指定使用CPU或GPU来运行模型和张量操作。例如,可以使用device = torch.device('cpu')来指定使用CPU,或者使用device = torch.device('cuda')来指定使用GPU。在使用PyTorch时,通常需要根据自己的硬件环境选择合适的设备来运行模型和张量操作,以获得更好的性能和效率。