**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
"""Stringifies DAGs and operators contained by var and returns a dict of var."""
        json_dict = {"__version": cls.SERIALIZER_VERSION, "dag": cls.serialize_dag(var)}
        
        cls.validate_schema(json_dict)
        return json_dict
    @classmethod
    def from_dict(cls, serialized_obj: dict) -> 'SerializedDAG':
        """Deserializes a python dict in to the DAG and operators it contains."""
        ver = serialized_obj.get('__version', '<not present>')
        if ver != cls.SERIALIZER_VERSION:
            raise ValueError(f"Unsure how to deserialize version {ver!r}")
        return cls.deserialize_dag(serialized_obj['dag'])
class SerializedTaskGroup(TaskGroup, BaseSerialization):