### Apache Airflow version

2.1.3 (latest released)

### Operating System

macOS Big Sur 11.3.1

### Versions of Apache Airflow Providers

n/a

### Deployment

Astronomer

### Deployment details

default Astronomer deployment with some test DAGs

### What happened

In the UI for DAGRuns there are checkboxes that allow multiple DAGRuns to be selected.

![image](https://user-images.githubusercontent.com/89415310/133841290-94cda771-9bb3-4677-8530-8c2861525719.png)

Within the Actions menu on this same view, there is a Delete option which allows multiple DAGRuns to be deleted at the same time.

![image](https://user-images.githubusercontent.com/89415310/133841362-3c7fc81d-a823-4f41-8b1d-64be425810ce.png)

Task instance view on the UI does not offer the same option, even though Task Instances can be individually deleted with the trash can button.

![image](https://user-images.githubusercontent.com/89415310/133841442-3fee0930-a6bb-4035-b172-1d10b85f3bf6.png)


### What you expected to happen

I expect that the Task Instances can also be bulk deleted, in the same way that DAGRuns can be.

### How to reproduce

Open up Task Instance and DAGRun views from the Browse tab and compare the options in the Actions dropdown menus.

### Anything else

_No response_

### Are you willing to submit PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

tests/www/views/test_views_tasks.py
assert state not in RUNNABLE_STATES
    task_id = 'runme_0'
    session.query(TaskInstance).filter(TaskInstance.task_id == task_id).update(
        {'state': state, 'end_date': timezone.utcnow()}
    )
    session.commit()
    form = dict(
        task_id=task_id,
        dag_id="example_bash_operator",
        ignore_all_deps="false",
        ignore_ti_state="false",
        execution_date=DEFAULT_DATE,
        origin='/home',
    )
    resp = admin_client.post('run', data=form, follow_redirects=True)
    check_content_in_response('', resp)
    msg = (
        f"Task is in the &#39;{state}&#39; state which is not a valid state for "
        f"execution. The task must be cleared in order to be run"
    )
    assert re.search(msg, resp.get_data(as_text=True))
@pytest.fixture()
def new_id_example_bash_operator():