本文整理匯總了Python中torchbearer.Model.cuda方法的典型用法代碼示例。如果您正苦於以下問題：Python Model.cuda方法的具體用法？Python Model.cuda怎麽用？Python Model.cuda使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類torchbearer.Model的用法示例。
在下文中一共展示了Model.cuda方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_cuda_with_device
# 需要導入模塊: from torchbearer import Model [as 別名]
# 或者: from torchbearer.Model import cuda [as 別名]
def test_cuda_with_device(self):
torchmodel = torch.nn.Sequential(torch.nn.Linear(1,1))
torchmodel.load_state_dict = Mock()
optimizer = torch.optim.SGD(torchmodel.parameters(), 0.1)
optimizer.load_state_dict = Mock()
torchbearermodel = Model(torchmodel, optimizer, torch.nn.L1Loss(), [])
torchbearermodel.to = Mock()
torchbearermodel.cuda(device='2')
self.assertTrue(torchbearermodel.to.call_args[0][0] == 'cuda:2')示例2: test_cuda_no_device
# 需要導入模塊: from torchbearer import Model [as 別名]
# 或者: from torchbearer.Model import cuda [as 別名]
def test_cuda_no_device(self, device_mock):
device_mock.return_value = 111
torchmodel = torch.nn.Sequential(torch.nn.Linear(1,1))
torchmodel.load_state_dict = Mock()
optimizer = torch.optim.SGD(torchmodel.parameters(), 0.1)
optimizer.load_state_dict = Mock()
torchbearermodel = Model(torchmodel, optimizer, torch.nn.L1Loss(), [])
torchbearermodel.to = Mock()
torchbearermodel.cuda()
self.assertTrue(torchbearermodel.to.call_args[0][0] == 'cuda:' + str(111))