code: def test_initialize_optimizer_and_scheduler_custom(self):
      sub_train = random_text_classification_dataset(10)
  
      classifier = PytorchClassifierImplementation(2)
      # initialize the model
      classifier.model = KimCNN(10, 60)
  
      optimizer_params = [
          param
          for param in classifier.model.parameters()
          if param.requires_grad
      ]
      optimizer_arg = Adadelta(optimizer_params)
      scheduler_arg = ExponentialLR(optimizer_arg, 0.99)
  
      num_epochs = 2
      base_lr = 2e-5
  
      (
          optimizer,
          scheduler,
      ) = classifier._initialize_optimizer_and_scheduler(
          optimizer_arg, scheduler_arg, num_epochs, sub_train, base_lr
      )
  
      self.assertIsNotNone(optimizer)
      self.assertIsNotNone(scheduler)
  
      self.assertEqual(optimizer, optimizer_arg)
      self.assertEqual(scheduler, scheduler_arg)
  
imports: import unittest
  import pytest
  import torch
  import numpy
  from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
label_desc: Use image node_id 3 for calling the PytorchClassifierTest obj's underlying member method code with example usage: obj.test_initialize_optimizer_and_scheduler_custom() without return types