**Apache Airflow version**

13faa6912f7cd927737a1dc15630d3bbaf2f5d4d

**Environment**

- **Configuration**: Local Executor
- **OS** (e.g. from /etc/os-release): Mac OS 11.3
- **Kernel**: Darwin Kernel Version 20.4.0
- **Install tools**: `pip install -e .`

**The DAG**

```python
def callable():
    print("hi")

with DAG(dag_id="two_virtualenv") as dag:

    a = PythonOperator(
        task_id="a",
        python_callable=callable,
    )

    # b = PythonOperator(          # works
    b = PythonVirtualenvOperator(  # doesn't work
        task_id="b",
        python_callable=callable,
    )

    a >> b
```

**What happened**:
Failure somewhere between first task and second:
```
INFO - Marking task as SUCCESS. dag_id=two_virtualenv, task_id=a
ERROR - Failed to execute task: cannot pickle 'module' object.
Traceback (most recent call last):
  File "/Users/matt/src/airflow/airflow/executors/debug_executor.py", line 79, in _run_task
    ti._run_raw_task(job_id=ti.job_id, **params)  # pylint: disable=protected-access
  File "/Users/matt/src/airflow/airflow/utils/session.py", line 70, in wrapper
    return func(*args, session=session, **kwargs)
  File "/Users/matt/src/airflow/airflow/models/taskinstance.py", line 1201, in _run_raw_task
    self._run_mini_scheduler_on_child_tasks(session)
  File "/Users/matt/src/airflow/airflow/utils/session.py", line 67, in wrapper
    return func(*args, **kwargs)
  File "/Users/matt/src/airflow/airflow/models/taskinstance.py", line 1223, in _run_mini_scheduler_on_child_tasks
    partial_dag = self.task.dag.partial_subset(
  File "/Users/matt/src/airflow/airflow/models/dag.py", line 1490, in partial_subset
    dag.task_dict = {
  File "/Users/matt/src/airflow/airflow/models/dag.py", line 1491, in <dictcomp>
    t.task_id: copy.deepcopy(t, {id(t.dag): dag})  # type: ignore
  File "/usr/local/Cellar/python@3.9/3.9.4/Frameworks/Python.framework/Versions/3.9/lib/python3.9/copy.py", line 153, in deepcopy
    y = copier(memo)
  File "/Users/matt/src/airflow/airflow/models/baseoperator.py", line 961, in __deepcopy__
    setattr(result, k, copy.deepcopy(v, memo))  # noqa
  File "/usr/local/Cellar/python@3.9/3.9.4/Frameworks/Python.framework/Versions/3.9/lib/python3.9/copy.py", line 161, in deepcopy
    rv = reductor(4)
TypeError: cannot pickle 'module' object
ERROR - Task instance <TaskInstance: two_virtualenv.a 2021-05-11 00:00:00+00:00 [failed]> failed
```

**What you expected to happen**:

Both tasks say "hi" and succeed

**To Replicate**

The DAG and output above are shortened for brevity.  A more complete story: https://gist.github.com/MatrixManAtYrService/6b27378776470491eb20b60e01cfb675

Ran it like this:
```
 $ airflow dags test two_virtualenv $(date "+%Y-%m-%d")
```
airflow/models/dag.py
defines where jinja will look for your templates. Order matters.
        Note that jinja/airflow includes the path of your DAG file by
        default
    :type template_searchpath: str or list[str]
    :param template_undefined: Template undefined type.
    :type template_undefined: jinja2.StrictUndefined
    :param user_defined_macros: a dictionary of macros that will be exposed
        in your jinja templates. For example, passing ``dict(foo='bar')``
        to this argument allows you to ``{{ foo }}`` in all jinja
        templates related to this DAG. Note that you can pass any
        type of object here.
    :type user_defined_macros: dict
    :param user_defined_filters: a dictionary of filters that will be exposed
        in your jinja templates. For example, passing
        ``dict(hello=lambda name: 'Hello %s' % name)`` to this argument allows
        you to ``{{ 'world' | hello }}`` in all jinja templates related to
        this DAG.
    :type user_defined_filters: dict
    :param default_args: A dictionary of default parameters to be used
        as constructor keyword parameters when initialising operators.
        Note that operators have the same hook, and precede those defined
        here, meaning that if your dict contains `'depends_on_past': True`
        here and `'depends_on_past': False` in the operator's call
        `default_args`, the actual value will be `False`.
    :type default_args: dict
    :param params: a dictionary of DAG level parameters that are made
        accessible in templates, namespaced under `params`. These
        params can be overridden at the task level.
    :type params: dict
    :param concurrency: the number of task instances allowed to run