**Description**
The `airflow.models.baseoperator.chain()` is a very useful and convenient way to add sequential task dependencies in DAGs.  This function has [recently been updated](https://github.com/apache/airflow/issues/16635) to support `BaseOperator` and `XComArgs` but should also be able to support `Labels` as well.

**Use case / motivation**
Users who create tasks via the `@task` decorator will not be able to use the `chain()` function to apply sequential dependencies that do not share an `XComArg` implicit dependency with a `Label`.  This use case can occur when attempting to chain multiple branch labels and the next sequential task.

With the new update (yet to be released), users will receive the following exception when attempting to chain an `XComArg` and `Label`:

```bash
TypeError: Chain not supported between instances of <class 'airflow.utils.edgemodifier.EdgeModifier'> and <class 'airflow.models.xcom_arg.XComArg'>
```


**Are you willing to submit a PR?**
Absolutely. 🚀 

**Related Issues**
None

airflow/models/baseoperator.py
self,
        start_date: Optional[datetime] = None,
        end_date: Optional[datetime] = None,
        upstream: bool = False,
        downstream: bool = False,
        session: Session = None,
    ):
        """
        Clears the state of task instances associated with the task, following
        the parameters specified.
        """
        qry = session.query(TaskInstance).filter(TaskInstance.dag_id == self.dag_id)
        if start_date:
            qry = qry.filter(TaskInstance.execution_date >= start_date)
        if end_date:
            qry = qry.filter(TaskInstance.execution_date <= end_date)
        tasks = [self.task_id]
        if upstream:
            tasks += [t.task_id for t in self.get_flat_relatives(upstream=True)]
        if downstream:
            tasks += [t.task_id for t in self.get_flat_relatives(upstream=False)]
        qry = qry.filter(TaskInstance.task_id.in_(tasks))
        results = qry.all()
        count = len(results)
        clear_task_instances(results, session, dag=self.dag)
        session.commit()
        return count
    @provide_session
    def get_task_instances(