code: def profile(
      rnns,
      sleep_between_seconds=1,
      nloops=5,
      internal_run=True,  # Unused, get rid of this TODO
      seqLength=100,
      numLayers=1,
      inputSize=512,
      hiddenSize=512,
      miniBatch=64,
      device="cuda",
      seed=None,
  ):
      params = dict(
          seqLength=seqLength,
          numLayers=numLayers,
          inputSize=inputSize,
          hiddenSize=hiddenSize,
          miniBatch=miniBatch,
          device=device,
          seed=seed,
      )
      for name, creator, context in get_nn_runners(*rnns):
          with context():
              run_rnn(name, creator, nloops, **params)
              time.sleep(sleep_between_seconds)
  
file_path: pytorch/benchmarks/fastrnns/profile.py
imports: import argparse
  import datetime
  import subprocess
  import sys
  import time
  import torch
  from .runner import get_nn_runners
label_desc: Use image node_id 2 for calling a global function with example usage: profile(rnns, sleep_between_seconds, nloops, internal_run, seqLength, numLayers, inputSize, hiddenSize, miniBatch, device, seed) without return types