model.to(device)
时间: 2024-04-29 20:23:44 浏览: 10
This line of code is used to move the PyTorch model to the specified device. In PyTorch, the device can be either CPU or GPU. By default, PyTorch runs on the CPU, but if you have a compatible GPU, you can accelerate the training process by moving the model to the GPU.
The `to()` method is used to move the model to the device. The device can be specified as a string or a torch.device object. For example, if you want to move the model to the GPU, you can use the following code:
```
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
model.to(device)
```
In this code, we first check if a GPU is available, and if it is, we set the device to 'cuda'. If a GPU is not available, we set the device to 'cpu'. Then we use the `to()` method to move the model to the specified device.