code: def inference(self, model, inputs):
      output = model(*inputs)
      output = output.mean()
      if isinstance(output, (list, tuple)):
          loss = output[0]
      else:
          loss = output
      return loss
  
file_path: gluonts/src/gluonts/nursery/SCott/trainers/Adam.py
imports: import time
  from typing import List, Optional
  import torch
  import torch.nn
  from torch.utils.tensorboard import SummaryWriter
  import math
  import copy
  from pts.trainers.timer import Timer
label_desc: Use image node_id 2 for calling the Adam obj's underlying member method code with example usage: obj.inference(model, inputs) and returns: loss