本文整理汇总了Python中torchbearer.Model.cuda方法的典型用法代码示例。如果您正苦于以下问题：Python Model.cuda方法的具体用法？Python Model.cuda怎么用？Python Model.cuda使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类torchbearer.Model的用法示例。
在下文中一共展示了Model.cuda方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_cuda_with_device
# 需要导入模块: from torchbearer import Model [as 别名]
# 或者: from torchbearer.Model import cuda [as 别名]
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
# 需要导入模块: from torchbearer import Model [as 别名]
# 或者: from torchbearer.Model import cuda [as 别名]
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))