class_docstr: Serializable representation of the TaskInstance ORM SqlAlchemyModel used by internal API.
class_docstr_tok: ["Serializable","representation","of","the","TaskInstance","ORM","SqlAlchemyModel","used","by","internal","API","."]
docstr: Schedule downstream tasks of this task instance.
  
  :meta: private
docstr_tok: ["Schedule","downstream","tasks","of","this","task","instance",".",":","meta",":","private"]
code: def schedule_downstream_tasks(
      self,
      session: Session = NEW_SESSION,
      max_tis_per_query: int | None = None,
  ):
      """
      Schedule downstream tasks of this task instance.
  
      :meta: private
      """
      return TaskInstance._schedule_downstream_tasks(
          ti=self, sessions=session, max_tis_per_query=max_tis_per_query
      )
  
imports: from __future__ import annotations
  from datetime import datetime
  from typing import TYPE_CHECKING, Any, Iterable, Optional
  from pydantic import BaseModel, ConfigDict, PlainSerializer, PlainValidator
  from typing_extensions import Annotated
  from airflow.models import Operator
  from airflow.models.baseoperator import BaseOperator
  from airflow.models.taskinstance import TaskInstance
  from airflow.serialization.pydantic.dag import DagModelPydantic
  from airflow.serialization.pydantic.dag_run import DagRunPydantic
  from airflow.utils.log.logging_mixin import LoggingMixin
  from airflow.utils.net import get_hostname
  from airflow.utils.session import NEW_SESSION, provide_session
  from airflow.utils.xcom import XCOM_RETURN_KEY
label_desc: Use image node_id 20 for calling the TaskInstancePydantic obj's underlying member method code with example usage: obj.schedule_downstream_tasks(session, max_tis_per_query) and returns: TaskInstance