code: def so3_logmap(batch_size: int = 10):
      log_rot = TestSO3.init_rot(batch_size=batch_size)
      torch.cuda.synchronize()
  
      def compute_logs():
          so3_log_map(log_rot)
          torch.cuda.synchronize()
  
      return compute_logs
  
imports: import math
  import unittest
  from distutils.version import LooseVersion
  import numpy
  import torch
  from pytorch3d.transforms.so3 import hat, so3_exp_map, so3_log_map, so3_relative_angle, so3_rotation_angle
  from .common_testing import TestCaseMixin
label_desc: Use image node_id 17 for calling the TestSO3 obj's underlying member method code with example usage: obj.so3_logmap(batch_size) and returns: compute_logs