code: def test_pytorch_autolog_logs_default_params(pytorch_model):
      _, run = pytorch_model
      data = run.data
      assert "lr" in data.params
      assert "eps" in data.params
      assert "optimizer_name" in data.params
      assert "weight_decay" in data.params
      assert "betas" in data.params
  
imports: import pytest
  import pytorch_lightning
  import torch
  from iris import IrisClassification, IrisClassificationMultiOptimizer, IrisClassificationWithoutValidation
  from iris_data_module import IrisDataModule, IrisDataModuleWithoutValidation
  from packaging.version import Version
  from pytorch_lightning.callbacks import ModelCheckpoint
  from pytorch_lightning.callbacks.early_stopping import EarlyStopping
  import mlflow
  import mlflow.pytorch
  from mlflow import MlflowClient
  from mlflow.exceptions import MlflowException
  from mlflow.pytorch._lightning_autolog import _get_optimizer_name
  from mlflow.utils.file_utils import TempDir
label_desc: Use image node_id 6 for calling a global function with example usage: test_pytorch_autolog_logs_default_params(pytorch_model) without return types