code: def get_workload(
      iterations, num_hidden, batch_size=1, dtype="float32"
  ):
      """Get benchmark workload for an LSTM RNN.
  
      Parameters
      ----------
      iterations : int
          The number of iterations in the desired LSTM RNN.
      num_hidden : int
          The size of the hiddxen state
      batch_size : int, optional (default 1)
          The batch size used in the model
      dtype : str, optional (default "float32")
          The data type
      Returns
      -------
      mod : tvm.IRModule
          The relay module that contains a LSTM network.
      params : dict of str to NDArray
          The parameters.
      """
      net = get_net(iterations, num_hidden, batch_size, dtype)
      return create_workload(net)
  
imports: from tvm import relay
  from .None import layers
  from .init import create_workload
label_desc: Use image node_id 3 for calling a global function with example usage: get_workload(iterations, num_hidden, batch_size, dtype) and returns: create_workload