docstr: Generate the output of a request.
docstr_tok: ["Generate","the","output","of","a","request","."]
code: def generate(self, request_id, prompts, sampling_params):
      """
      Generate the output of a request.
      """
      self.add_input(request_id, prompts, sampling_params)
      return self.loop_for_fwd()
  
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 18 for calling the DynamicBatchManager obj's underlying member method code with example usage: obj.generate(request_id, prompts, sampling_params) and returns: self