class_docstr: Manage the pipeline and runs it as a single instance.
  
  
  Args:
      dag_dict(`Dict`): The DAG Dictionary from the user pipeline.
      max_workers(`int`): The maximum number of threads.
class_docstr_tok: ["Manage","the","pipeline","and","runs","it","as","a","single","instance",".","Args",":","dag_dict","(","`","Dict","`",")",":","The","DAG","Dictionary","from","the","user","pipeline",".","max_workers","(","`","int","`",")",":","The","maximum","number","of","threads","."]
docstr: Run batch call with debug option.
docstr_tok: ["Run","batch","call","with","debug","option","."]
code: def _batch(
      self,
      batch_inputs,
      profiler: bool,
      tracer: bool,
      trace_edges: list = None,
  ):
      """
      Run batch call with debug option.
      """
      graph_res = []
      time_profilers = []
      data_queues = []
      for inputs in batch_inputs:
          time_profiler = (
              TimeProfiler(False)
              if time_profilers is None
              else TimeProfiler(True)
          )
          gh = _Graph(
              self._dag_repr.nodes,
              self._dag_repr.edges,
              self._operator_pool,
              self._thread_pool,
              time_profiler,
              trace_edges,
          )
  
          if profiler:
              time_profilers.append(gh.time_profiler)
          if tracer:
              data_queues.append(gh.data_queues)
          if gh.input_col_size == 1:
              inputs = (inputs,)
          graph_res.append(gh.async_call(inputs))
  
      rets = []
      for gf in graph_res:
          ret = gf.result()
          rets.append(ret)
      return (
          rets,
          time_profilers if time_profilers else None,
          data_queues if data_queues else None,
      )
  
imports: import re
  from typing import Dict, Any, Union, Tuple, List
  from concurrent.futures import ThreadPoolExecutor
  from towhee.tools import visualizers
  from towhee.utils.log import engine_log
  from .operator_manager import OperatorPool
  from .data_queue import DataQueue
  from .dag_repr import DAGRepr
  from .nodes import create_node, NodeStatus
  from .node_repr import NodeRepr
  from .time_profiler import TimeProfiler, Event
label_desc: Use image node_id 7 for calling the RuntimePipeline obj's underlying member method code with example usage: obj._batch(batch_inputs, profiler, tracer, trace_edges) and returns: rets,  unknown,  unknown