**Apache Airflow version**:

1.10.12

**What happened**:

I created dag with dagrun_timeout=2 minutes. 

After 2 minutes dagrun is marked as failed and the next one is started, but task keeps going.

**What you expected to happen**:

Task is killed with dag run as it is done when you mark dagrun failed manually.

**How to reproduce it**:
```
dag = DAG(dag_id='platform.airflow-test',
          description='',
          schedule_interval="0 0 * * *",
          start_date=datetime(2020, 7, 1),
          max_active_runs=1,
          catchup=True,
          dagrun_timeout=timedelta(minutes=2))

run_this = BashOperator(
    task_id='run_after_loop',
    bash_command=' for((i=1;i<=600;i+=1)); do echo "Welcome $i times"; sleep 1;  done',
    dag=dag,
)
```
tests/jobs/test_scheduler_job.py
dr2 = dag.create_dagrun(
            run_type=DagRunType.SCHEDULED,
            execution_date=dag.following_schedule(dr1.execution_date),
            state=State.RUNNING,
        )
        tis = [
            TaskInstance(task1, dr1.execution_date),
            TaskInstance(task2, dr1.execution_date),
            TaskInstance(task1, dr2.execution_date),
            TaskInstance(task2, dr2.execution_date),
        ]
        for ti in tis:
            ti.state = State.SCHEDULED
            session.merge(ti)
        pool = Pool(pool='a', slots=1, description='haha')
        pool2 = Pool(pool='b', slots=100, description='haha')
        session.add(pool)
        session.add(pool2)
        session.flush()
        res = scheduler._executable_task_instances_to_queued(max_tis=32, session=session)
        session.flush()
        assert 3 == len(res)
        res_keys = []
        for ti in res:
            res_keys.append(ti.key)
        assert tis[0].key in res_keys
        assert tis[1].key in res_keys
        assert tis[3].key in res_keys
        session.rollback()
    def test_find_executable_task_instances_in_default_pool(self):