code: def forward(self, x, y, **kwargs):
      pld = kwargs.get("progressive_layer_drop", False)
      theta = kwargs.get("pld_theta", 1.0)
      hidden_dim = super(PLD_SimpleModel, self).forward(x, y)
      return hidden_dim
  
imports: import os
  import json
  import argparse
  import torch
  from deepspeed.pipe import PipelineModule, LayerSpec
  from deepspeed.moe.layer import MoE
  import deepspeed.comm
label_desc: Use image node_id 2 for calling the PLD_SimpleModel obj's underlying member method code with example usage: obj.forward(x, y) and returns: hidden_dim