code: def test_fit(
      self,
      model,
      dataloader,
      criterion,
      optimizer,
      scheduler,
      configuration,
      loss_computed_by_model,
  ):
      trainer = ObjectDetectionTrainer(
          model,
          dataloader,
          dataloader,
          criterion,
          optimizer,
          scheduler,
          configuration,
          num_classes=3,
          loss_computed_by_model=loss_computed_by_model,
      )
      trainer.fit()
  
imports: import sys
  import pytest
  import torch
  from torch import nn
  from torch.utils.data import Dataset
  from kornia.x import Configuration, ObjectDetectionTrainer
  from kornia.x.trainer import Accelerator
label_desc: Use image node_id 1 for calling the TestObjectDetectionTrainer obj's underlying member method code with example usage: obj.test_fit(model, dataloader, criterion, optimizer, scheduler, configuration, loss_computed_by_model) without return types