code: def __init__(self) -> None:
      super().__init__()
      self.module_a = nn.Linear(1, 1)
      self.loss_fn_b = nn.CrossEntropyLoss()
      self.optimizer_c = torch.optim.SGD(
          self.module_a.parameters(), lr=0.1
      )
      self.lr_scheduler_d = torch.optim.lr_scheduler.StepLR(
          self.optimizer_c, step_size=30, gamma=0.1
      )
      self.grad_scaler_e = torch.cuda.amp.GradScaler()
  
imports: import unittest
  from typing import Any, Dict
  from unittest.mock import patch
  import torch
  from torch import nn
  from torchtnt.framework._test_utils import DummyAutoUnit
  from torchtnt.framework.unit import AppStateMixin
  from torchtnt.utils.env import init_from_env
  from torchtnt.utils.lr_scheduler import TLRScheduler
  from torchtnt.utils.prepare_module import FSDPOptimizerWrapper
label_desc: Use image node_id 1 to create a new Dummy object from inherited base classes: AppStateMixin with example: obj = Dummy()