code: def _filter_runing_batch(self):
      if (
          self.running_batch is not None
          and self.running_batch.is_clear()
      ):
          self.running_batch = None
  
imports: import time
  from typing import List
  from .dynamic_batching.get_tokenizer import get_tokenizer
  from .dynamic_batching.infer_batch import InferBatch
  from .dynamic_batching.io_struct import Batch, Req
  from .dynamic_batching.req_queue import ReqQueue
  from .dynamic_batching.sampling_params import SamplingParams
  from .dynamic_batching.stats import Stats
  from .tensor_parallel import TPInferEngine
label_desc: Use image node_id 14 for calling the DynamicBatchManager obj's underlying member method code with example usage: obj._filter_runing_batch() without return types