Saving:
torch.save(model, PATH)
Loading:
model = torch.load(PATH)
model.eval()
A common PyTorch convention is to save models using either a .pt or .pth file extension.torch.save(model.state_dict(), PATH)torch.save(model.state_dict(), filepath)
#Later to restore:
model.load_state_dict(torch.load(filepath))
model.eval()state = {
'epoch': epoch,
'state_dict': model.state_dict(),
'optimizer': optimizer.state_dict(),
...
}
torch.save(state, filepath)pytorch_model = MNISTClassifier()
pytorch_model.load_state_dict(torch.load(path))
model.eval()