code: def test_trainer_compile(self):
      trainer = Trainer(max_epochs=1)
      pl_model = Trainer.compile(self.model, self.loss, self.optimizer)
      trainer.fit(pl_model, self.train_loader)
  
imports: import copy
  import os
  import shutil
  from unittest import TestCase
  import pytest
  import torch
  from pytorch_lightning import LightningModule
  from test.pytorch.utils._train_torch_lightning import create_data_loader, data_transform
  from test.pytorch.utils._train_torch_lightning import train_with_linear_top_layer
  from torch import nn
  from bigdl.nano.pytorch import Trainer
  from bigdl.nano.pytorch.vision.models import vision
label_desc: Use image node_id 2 for calling the TestTrainer obj's underlying member method code with example usage: obj.test_trainer_compile() without return types