### Apache Airflow version

main (development)

### What happened

Task failing with error "missing upstream values" when running a dag with dynamic task group mapping
error -
```
[2022-11-23, 15:50:07 UTC] {abstractoperator.py:456} ERROR - Cannot expand <Task(_PythonDecoratedOperator): increment_and_verify.hello_there> for run manual__2022-11-23T15:49:59.771915+00:00; missing upstream values: ['x']
```

### What you think should happen instead

It should succeed 

### How to reproduce

Run the below dag code 
```
from airflow import DAG
from airflow.models.taskinstance import TaskInstance
from airflow.operators.dummy import DummyOperator
from datetime import datetime, timedelta
from airflow.decorators import task, task_group
with DAG(
    dag_id="taskmap_taskgroup",
    tags=["AIP_42"],
    start_date=datetime(1970, 1, 1),
    schedule_interval=None,
) as dag:

    @task
    def onetwothree():
        return [1,2,3]

    @task
    def hello_there(arg):
        print(arg)

    @task_group
    def increment_and_verify(x):
        hello_there(x)

    increment_and_verify.expand(x=onetwothree())>>DummyOperator(task_id="done")
```

### Operating System

mac os

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] 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)

activate_dag_runs: None = None,
    dag: DAG | None = None,
    dag_run_state: DagRunState | Literal[False] = DagRunState.QUEUED,
) -> None:
    """
    Clears a set of task instances, but makes sure the running ones
    get killed.
    :param tis: a list of task instances
    :param session: current session
    :param dag_run_state: state to set DagRun to. If set to False, dagrun state will not
        be changed.
    :param dag: DAG object
    :param activate_dag_runs: Deprecated parameter, do not pass
    """
    job_ids = []
    
    task_id_by_key: dict[str, dict[str, dict[int, dict[int, set[str]]]]] = defaultdict(
        lambda: defaultdict(lambda: defaultdict(lambda: defaultdict(set)))
    )
    for ti in tis:
        if ti.state == TaskInstanceState.RUNNING:
            if ti.job_id:
                
                
                ti.state = TaskInstanceState.RESTARTING
                job_ids.append(ti.job_id)
        else:
            task_id = ti.task_id
            if dag and dag.has_task(task_id):
                task = dag.get_task(task_id)