code: def modeldef(request, net_name, executor, fuser):
      set_fuser(fuser, executor)
  
      # Given a 'net_name' provided by generate_tests, build the thing
      name, rnn_creator, context = get_nn_runners(net_name)[0]
      creator_args = creator_args = {
          "seqLength": 100,
          "numLayers": 1,
          "inputSize": 512,
          "hiddenSize": 512,
          "miniBatch": 64,
          "device": "cuda",
          "seed": None,
      }
      return rnn_creator(**creator_args)
  
file_path: pytorch/benchmarks/fastrnns/test_bench.py
imports: import pytest
  import torch
  from .fuser import set_fuser
  from .runner import get_nn_runners
label_desc: Use image node_id 1 for calling a global function with example usage: modeldef(request, net_name, executor, fuser) and returns: rnn_creator