本文整理汇总了Python中torchbearer.Model.fit方法的典型用法代码示例。如果您正苦于以下问题：Python Model.fit方法的具体用法？Python Model.fit怎么用？Python Model.fit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.fit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_fit_valid_sets_args
# 需要导入模块: from torchbearer import Model [as 别名]
# 或者: from torchbearer.Model import fit [as 别名]
def test_fit_valid_sets_args(self, gtvs):
x = torch.rand(1,5)
y = torch.rand(1,5)
val_data = (1,2)
val_split = 0.2
shuffle = False
torchmodel = MagicMock()
torchmodel.forward = Mock(return_value=1)
optimizer = MagicMock()
metric = Metric('test')
loss = torch.tensor([2], requires_grad=True)
criterion = Mock(return_value=loss)
gtvs.return_value = (1, 2)
torchbearermodel = Model(torchmodel, optimizer, criterion, [metric])
torchbearermodel.fit_generator = Mock()
torchbearermodel.fit(x, y, 1, validation_data=val_data, validation_split=val_split, shuffle=shuffle)
gtvs.assert_called_once()
self.assertTrue(list(gtvs.call_args[0][0].numpy()[0]) == list(x.numpy()[0]))
self.assertTrue(list(gtvs.call_args[0][1].numpy()[0]) == list(y.numpy()[0]))
self.assertTrue(gtvs.call_args[0][2] == val_data)
self.assertTrue(gtvs.call_args[0][3] == val_split)
self.assertTrue(gtvs.call_args[1]['shuffle'] == shuffle)示例2: test_fit_no_valid
# 需要导入模块: from torchbearer import Model [as 别名]
# 或者: from torchbearer.Model import fit [as 别名]
def test_fit_no_valid(self):
x = torch.rand(1, 5)
y = torch.rand(1, 5)
torchmodel = MagicMock()
torchmodel.forward = Mock(return_value=1)
optimizer = MagicMock()
metric = Metric('test')
loss = torch.tensor([2], requires_grad=True)
criterion = Mock(return_value=loss)
torchbearermodel = Model(torchmodel, optimizer, criterion, [metric])
torchbearermodel.fit_generator = Mock()
fit = torchbearermodel.fit_generator
torchbearermodel.fit(x, y, 1, validation_split=None)
self.assertTrue(fit.call_args[1]['validation_generator'] is None)