### 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)

partial_dag = task.dag.partial_subset(
                task.downstream_task_ids,
                include_downstream=True,
                include_upstream=False,
                include_direct_upstream=True,
            )
            dag_run.dag = partial_dag
            info = dag_run.task_instance_scheduling_decisions(session)
            skippable_task_ids = {
                task_id for task_id in partial_dag.task_ids if task_id not in task.downstream_task_ids
            }
            schedulable_tis = [ti for ti in info.schedulable_tis if ti.task_id not in skippable_task_ids]
            for schedulable_ti in schedulable_tis:
                if not hasattr(schedulable_ti, "task"):
                    schedulable_ti.task = task.dag.get_task(schedulable_ti.task_id)
            num = dag_run.schedule_tis(schedulable_tis, session=session)
            self.log.info("%d downstream tasks scheduled from follow-on schedule check", num)
            session.flush()
        except OperationalError as e:
            
            self.log.info(
                "Skipping mini scheduling run due to exception: %s",
                e.statement,
                exc_info=True,
            )
            session.rollback()
TaskInstanceStateType = Tuple[TaskInstanceKey, str]
class SimpleTaskInstance: