code: def main():
      # testing configurations
      cell_types = [
          gluon.rnn.RNNCell,
          gluon.rnn.GRUCell,
          gluon.rnn.LSTMCell,
      ]
      ctxs = [mx.cpu(0)]
      if args.gpu:
          ctxs = ctxs + [mx.gpu(i) for i in _get_gpus()]
      seq_lens = [100]
      batch_sizes = [1, 32]
      hidden_dims = [512]
      print("--------------------------------------")
      print("Benchmarking", args.benchmark)
      for cell_type, ctx, seq_len, batch_size, hidden_dim in product(
          cell_types, ctxs, seq_lens, batch_sizes, hidden_dims
      ):
          print("--------------------------------------")
          print(
              f"cell: {cell_type.__name__}  ctx: {str(ctx)}  length: {seq_len}  batch size: {batch_size} dim: {hidden_dim}"
          )
          run_benchmark(cell_type, ctx, seq_len, batch_size, hidden_dim)
  
imports: from __future__ import print_function
  from six.moves import range
  import argparse
  import subprocess
  from itertools import product
  from time import time
  import mxnet
  import numpy
  from mxnet import gluon, np, npx
label_desc: Use image node_id 5 for calling a global function with example usage: main() without return types