def test_bad_tasks(self):
with self.assertRaisesRegex(ValueError, "Found duplicate task"):
MultitaskClassifier(tasks=[self.task1, self.task1])
with self.assertRaisesRegex(ValueError, "Unrecognized task type"):
MultitaskClassifier(tasks=[self.task1, {"fake_task": 42}])
with self.assertRaisesRegex(ValueError, "Unsuccessful operation"):
task1 = create_task("task1")
task1.op_sequence[0].inputs[0] = (0, 0)
model = MultitaskClassifier(tasks=[task1])
X_dict = self.dataloader.dataset.X_dict
model.forward(X_dict, [task1.name])
def test_no_input_spec(self):
# Confirm model doesn't break when a module does not specify specific inputs
dataset = create_dataloader("task", shuffle=False).dataset
task = Task(
name="task",
module_pool=nn.ModuleDict({"identity": nn.Identity()}),
op_sequence=[Operation("identity", [])],
)
model = MultitaskClassifier(tasks=[task], dataparallel=False)
outputs = model.forward(dataset.X_dict, ["task"])
self.assertIn("_input_", outputs)