docstr: Process the output of a batch.
docstr_tok: ["Process","the","output","of","a","batch","."]
code: def _output_process(self, finished_reqs: List[Req]):
      """
      Process the output of a batch.
      """
      for req in finished_reqs:
          output = self.tokenizer.decode(req.output_ids)
          yield req.prompts + output
  
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 16 for calling the DynamicBatchManager obj's underlying member method code with example usage: obj._output_process(finished_reqs) without return types