### Apache Airflow version

2.4.1

### What happened

![image](https://user-images.githubusercontent.com/24224756/194797283-6c26ad63-d432-4c41-9f91-2dbc47417ec7.png)
when the sensor running, I can see the log above, but when I manual set the task state to failed or the task failed by other reason, I can't see log at here
![image](https://user-images.githubusercontent.com/24224756/194797633-0c7bf825-8e83-42af-8298-03491a26b7c9.png)
In other version airflow, like 2.3/2.2, this still happens

### What you think should happen instead

_No response_

### How to reproduce

_No response_

### Operating System

Ubuntu 20.04.4 LTS (Focal Fossa)

### Versions of Apache Airflow Providers

_No response_

### Deployment

Docker-Compose

### 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)

for obj in self.task.outlets or []:
            self.log.debug("outlet obj %s", obj)
            
            if isinstance(obj, Dataset):
                dataset_manager.register_dataset_change(
                    task_instance=self,
                    dataset=obj,
                    session=session,
                )
    def _execute_task_with_callbacks(self, context, test_mode=False):
        """Prepare Task for Execution"""
        from airflow.models.renderedtifields import RenderedTaskInstanceFields
        parent_pid = os.getpid()
        def signal_handler(signum, frame):
            pid = os.getpid()
            
            
            
            
            if pid != parent_pid:
                os._exit(1)
                return
            self.log.error("Received SIGTERM. Terminating subprocesses.")
            self.task.on_kill()
            raise AirflowException("Task received SIGTERM signal")
        signal.signal(signal.SIGTERM, signal_handler)
        
        if not self.next_method:
            self.clear_xcom_data()
        with Stats.timer(f"dag.{self.task.dag_id}.{self.task.task_id}.duration"):