### 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)

"prev_execution_date_success": self.get_previous_execution_date(
                state=DagRunState.SUCCESS,
                session=session,
            ),
            "prev_start_date_success": get_prev_start_date_success(),
            "run_id": self.run_id,
            "task": task,
            "task_instance": self,
            "task_instance_key_str": f"{task.dag_id}__{task.task_id}__{ds_nodash}",
            "test_mode": self.test_mode,
            "ti": self,
            "tomorrow_ds": get_tomorrow_ds(),
            "tomorrow_ds_nodash": get_tomorrow_ds_nodash(),
            "triggering_dataset_events": lazy_object_proxy.Proxy(get_triggering_events),
            "ts": ts,
            "ts_nodash": ts_nodash,
            "ts_nodash_with_tz": ts_nodash_with_tz,
            "var": {
                "json": VariableAccessor(deserialize_json=True),
                "value": VariableAccessor(deserialize_json=False),
            },
            "conn": ConnectionAccessor(),
            "yesterday_ds": get_yesterday_ds(),
            "yesterday_ds_nodash": get_yesterday_ds_nodash(),
        }
        
        
        return Context(context)  
    @provide_session
    def get_rendered_template_fields(self, session: Session = NEW_SESSION) -> None: