code: def get_optimizer(model, config):
      return torch.optim.SGD(model.parameters(), lr=config["lr"])
  
file_path: BigDL/python/orca/example/automl/autoestimator/autoestimator_pytorch.py
imports: import numpy
  import argparse
  import torch
  import torch.nn
  from bigdl.orca.automl.auto_estimator import AutoEstimator
  from bigdl.orca.automl.pytorch_utils import LR_NAME
  from bigdl.orca import init_orca_context, stop_orca_context
label_desc: Use image node_id 2 for calling a global function with example usage: get_optimizer(model, config) and returns: torch