**Apache Airflow version**:
v2.0.0

**What happened**:

Custom operators inheriting from DummyOperator are go in to a scheduled state, where as DummyOperator itself is set straight to success.

**What you expected to happen**:

All operators should be successfully executed.

**How to reproduce it**:

```py
from datetime import datetime
from airflow import DAG
from airflow.operators.dummy_operator import DummyOperator

class MyJob(DummyOperator):
    template_fields_renderers = {
        "body": "json"
    }
    template_fields = ("body",)

    def __init__(self, body, *args, **kwargs):
        super().__init__(*args, **kwargs)
        self.body = body

with DAG(
    dag_id="test",
    schedule_interval=None,
    start_date=datetime(2020, 8, 13),
) as dag:
    MyJob(task_id="aaaa", body={"aaa": "bbb"})

```

**Anything else we need to know**:
This is a known problem that we will fix, see: https://github.com/apache/airflow/pull/10956#discussion_r502492775
airflow/serialization/serialized_objects.py
cls, object_to_serialize: Union[BaseOperator, DAG], decorated_fields: Set
    ) -> Dict[str, Any]:
        """Serializes an object to json"""
        serialized_object: Dict[str, Any] = {}
        keys_to_serialize = object_to_serialize.get_serialized_fields()
        for key in keys_to_serialize:
            
            value = getattr(object_to_serialize, key, None)
            if cls._is_excluded(value, key, object_to_serialize):
                continue
            if key in decorated_fields:
                serialized_object[key] = cls._serialize(value)
            else:
                value = cls._serialize(value)
                if isinstance(value, dict) and "__type" in value:
                    value = value["__var"]
                serialized_object[key] = value
        return serialized_object
    
    @classmethod
    def _serialize(cls, var: Any) -> Any: