code: def optimizer_scheduler(self):
      opt = torch.optim.Adam(self.parameters(), lr=1e-3)
      sch = torch.optim.lr_scheduler.ReduceLROnPlateau(
          opt,
          factor=0.5,
          patience=2,
          verbose=True,
          mode="max",
          threshold=1e-4,
      )
      return opt, sch
  
file_path: tez/examples/image/flower_classification.py
imports: import glob
  import os
  import albumentations
  import timm
  import torch
  import torch.nn
  from sklearn import metrics
  from tez import Tez, TezConfig
  from tez.callbacks import EarlyStopping
  from tez.datasets import ImageDataset
label_desc: Use image node_id 3 for calling the FlowerModel obj's underlying member method code with example usage: obj.optimizer_scheduler() and returns: opt,  sch