**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
dag = SerializedDAG.from_dict(SerializedDAG.to_dict(dag))
        scheduler = SchedulerJob(executor=self.null_exec)
        scheduler.processor_agent = mock.MagicMock()
        
        dr = dag.create_dagrun(
            run_type=DagRunType.SCHEDULED,
            execution_date=DEFAULT_DATE,
            state=State.RUNNING,
        )
        scheduler._schedule_dag_run(dr, {}, session)
        dr = dag.create_dagrun(
            run_type=DagRunType.SCHEDULED,
            execution_date=dag.following_schedule(dr.execution_date),
            state=State.RUNNING,
        )
        scheduler._schedule_dag_run(dr, {}, session)
        task_instances_list = scheduler._executable_task_instances_to_queued(max_tis=32, session=session)
        assert len(task_instances_list) == 1
    def test_scheduler_verify_pool_full_2_slots_per_task(self):
        """
        Test task instances not queued when pool is full.
        Variation with non-default pool_slots
        """
        dag = DAG(dag_id='test_scheduler_verify_pool_full_2_slots_per_task', start_date=DEFAULT_DATE)
        BashOperator(
            task_id='dummy',
            dag=dag,
            owner='airflow',
            pool='test_scheduler_verify_pool_full_2_slots_per_task',
            pool_slots=2,