code: def configure_optimizers(self):
      return torch.optim.Adam(self.parameters(), lr=0.002)
  
file_path: BigDL/python/nano/benchmark/resnet50/pytorch-cat-dog.py
imports: import os
  import json
  import torch
  import time
  from bigdl.nano.pytorch.vision.datasets import ImageFolder
  from bigdl.nano.pytorch.vision.transforms import transforms
  import argparse
  from torch.utils.data import DataLoader
  from torchvision.datasets.utils import download_and_extract_archive
  from bigdl.nano.pytorch.vision.models import resnet50
  from bigdl.nano.pytorch.vision.models import ImageClassifier
  from bigdl.nano.pytorch import Trainer
label_desc: Use image node_id 2 for calling the Classifier obj's underlying member method code with example usage: obj.configure_optimizers() and returns: torch