本文整理汇总了Python中torchbearer.Model.to方法的典型用法代码示例。如果您正苦于以下问题：Python Model.to方法的具体用法？Python Model.to怎么用？Python Model.to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.to方法的3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_to_only_dtype
# 需要导入模块: from torchbearer import Model [as 别名]
# 或者: from torchbearer.Model import to [as 别名]
def test_to_only_dtype(self):
dtype = torch.float16
torchmodel = torch.nn.Sequential(torch.nn.Linear(1,1))
torchmodel.to = Mock()
optimizer = torch.optim.Adam(torchmodel.parameters(), 0.1)
state_tensor = torch.Tensor([1])
state_tensor.to = Mock()
optimizer.state = {'test': {'test': state_tensor}}
torchbearermodel = Model(torchmodel, optimizer, torch.nn.L1Loss(), [])
torchbearermodel.to(dtype)
self.assertTrue(torchmodel.to.call_args[0][0] == dtype)
self.assertTrue(state_tensor.to.call_args[0][0] == dtype)示例2: test_cpu
# 需要导入模块: from torchbearer import Model [as 别名]
# 或者: from torchbearer.Model import to [as 别名]
def test_cpu(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.cpu()
self.assertTrue(torchbearermodel.to.call_args[0][0] == 'cpu')示例3: test_cuda_no_device
# 需要导入模块: from torchbearer import Model [as 别名]
# 或者: from torchbearer.Model import to [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))