code: def get_lr(optimizer):
      for param_group in optimizer.param_groups:
          return param_group["lr"]
  
file_path: torch-points3d/test/test_lr_scheduler.py
imports: import os
  import sys
  from omegaconf import OmegaConf
  import torch
  import unittest
  import logging
  from torch_geometric.data import Data
  from torch_points3d.models.base_model import BaseModel
  from test.mock_models import DifferentiableMockModel
label_desc: Use image node_id 1 for calling a global function with example usage: get_lr(optimizer) and returns: param_group