### 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
resp = admin_client.post(url, data=data, follow_redirects=True)
    check_content_in_response(content, resp)
@pytest.mark.parametrize("url", ["failed", "success"])
def test_dag_never_run(admin_client, url):
    dag_id = "example_bash_operator"
    form = dict(
        task_id="run_this_last",
        dag_id=dag_id,
        execution_date=DEFAULT_DATE,
        upstream="false",
        downstream="false",
        future="false",
        past="false",
        origin="/graph?dag_id=example_bash_operator",
    )
    clear_db_runs()
    resp = admin_client.post(url, data=form, follow_redirects=True)
    check_content_in_response(f"Cannot mark tasks as {url}, seem that dag {dag_id} has never run", resp)
class _ForceHeartbeatCeleryExecutor(CeleryExecutor):
    def heartbeat(self):
        return True
@pytest.mark.parametrize("state", RUNNABLE_STATES)
@unittest.mock.patch(
    'airflow.executors.executor_loader.ExecutorLoader.get_default_executor',
    return_value=_ForceHeartbeatCeleryExecutor(),
)
def test_run_with_runnable_states(_, admin_client, session, state):