**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
session.add(dag_model)
        dr1 = dag.create_dagrun(
            run_type=DagRunType.SCHEDULED,
            execution_date=DEFAULT_DATE,
            state=State.RUNNING,
        )
        dr2 = dag.create_dagrun(
            run_type=DagRunType.BACKFILL_JOB,
            execution_date=dag.following_schedule(dr1.execution_date),
            state=State.RUNNING,
        )
        ti_no_dagrun = TaskInstance(task1, DEFAULT_DATE - datetime.timedelta(days=1))
        ti_backfill = TaskInstance(task1, dr2.execution_date)
        ti_with_dagrun = TaskInstance(task1, dr1.execution_date)
        
        ti_no_dagrun.state = State.SCHEDULED
        ti_backfill.state = State.SCHEDULED
        ti_with_dagrun.state = State.SCHEDULED
        session.merge(dr2)
        session.merge(ti_no_dagrun)
        session.merge(ti_backfill)
        session.merge(ti_with_dagrun)
        session.flush()
        res = scheduler._executable_task_instances_to_queued(max_tis=32, session=session)
        assert 2 == len(res)
        res_keys = map(lambda x: x.key, res)
        assert ti_no_dagrun.key in res_keys
        assert ti_with_dagrun.key in res_keys
        session.rollback()
    def test_find_executable_task_instances_pool(self):