code: def lstm_unit(
      forget_bias=0.0, param_attr=None, bias_attr=None, name=None
  ):
      """
      Return a function that creates a paddle.fluid.layers.lstm_unit.
      """
      default_name = "lstm_unit"
      param_attr = update_attr_name(
          name, default_name, param_attr, False
      )
      bias_attr = update_attr_name(name, default_name, bias_attr, True)
  
      class LstmUnit_(LayerFunc):
          def __init__(self):
              super(LstmUnit_, self).__init__(
                  AttrHolder(param_attr=param_attr, bias_attr=bias_attr)
              )
  
          def __call__(self, x_t, hidden_t_prev, cell_t_prev):
              return layers.lstm_unit(
                  x_t=x_t,
                  hidden_t_prev=hidden_t_prev,
                  cell_t_prev=cell_t_prev,
                  forget_bias=forget_bias,
                  param_attr=self.attr_holder.param_attr,
                  bias_attr=self.attr_holder.bias_attr,
              )
  
      return LstmUnit_()
  
imports: import inspect
  import paddle.fluid.layers
  import paddle.fluid.unique_name
  import paddle.fluid
  import six
  from copy import deepcopy
  from paddle.fluid.executor import _fetch_var
  from paddle.fluid.framework import Variable
  from paddle.fluid.layers import *
  from paddle.fluid.param_attr import ParamAttr
  from parl.core.fluid.layers.attr_holder import AttrHolder
  from parl.utils import get_fluid_version
label_desc: Use image node_id 14 for calling a global function with example usage: lstm_unit(forget_bias, param_attr, bias_attr, name) and returns: LstmUnit_, layers