code: def get_model_config():
      return {
          "inputs": 100,
          "outputs": 5,
          "hidden": 1000,
          "layers": 100,
          "clip_value": 0.05,
      }
  
imports: import torch.nn
  from fairscale.optim import GradScaler
label_desc: Use image node_id 1 for calling the Offload_Sequential obj's underlying member method code with example usage: obj.get_model_config() and returns: dict