### Apache Airflow version

2.4.3

### What happened

In the grid view I do not see the logs for the latest try number if the task is in deferred state. I do see it in the "old" log view.

Grid view:
![image](https://user-images.githubusercontent.com/3342974/204215464-989e70e3-9dfc-490b-908c-f47f491316d5.png)

"Old" view:
![image](https://user-images.githubusercontent.com/3342974/204215513-05a6b0ac-f3da-44fa-b8c2-e31013e2467c.png)

It could have something to do with the deferred task getting its try_number reduced by 1 - in my example try_number=1 and next_try_number=2.

https://github.com/apache/airflow/blob/3e288abd0bc3e5788dcd7f6d9f6bef26ec4c7281/airflow/models/taskinstance.py#L1617-L1618



### What you think should happen instead

_No response_

### How to reproduce

_No response_

### Operating System

Red Hat

### 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)

if dag_ids == {dag_id} and run_ids == {run_id} and map_indices == {map_index}:
            return and_(
                TaskInstance.dag_id == dag_id,
                TaskInstance.run_id == run_id,
                TaskInstance.map_index == map_index,
                TaskInstance.task_id.in_(task_ids),
            )
        if dag_ids == {dag_id} and task_ids == {first_task_id} and map_indices == {map_index}:
            return and_(
                TaskInstance.dag_id == dag_id,
                TaskInstance.run_id.in_(run_ids),
                TaskInstance.map_index == map_index,
                TaskInstance.task_id == first_task_id,
            )
        if dag_ids == {dag_id} and run_ids == {run_id} and task_ids == {first_task_id}:
            return and_(
                TaskInstance.dag_id == dag_id,
                TaskInstance.run_id == run_id,
                TaskInstance.map_index.in_(map_indices),
                TaskInstance.task_id == first_task_id,
            )
        filter_condition = []
        
        
        task_id_groups: dict[tuple, dict[Any, list[Any]]] = defaultdict(lambda: defaultdict(list))
        map_index_groups: dict[tuple, dict[Any, list[Any]]] = defaultdict(lambda: defaultdict(list))
        for t in tis:
            task_id_groups[(t.dag_id, t.run_id)][t.task_id].append(t.map_index)
            map_index_groups[(t.dag_id, t.run_id)][t.map_index].append(t.task_id)