code: def test_dynamo(self, device, dtype, torch_optimizer):
      pt1 = torch.rand(2, 3, device=device, dtype=dtype)
      pt2 = torch.rand(2, 3, device=device, dtype=dtype)
      op = kgl.euclidean_distance
      op_optimized = torch_optimizer(op)
      self.assert_close(op(pt1, pt2), op_optimized(pt1, pt2))
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.geometry.linalg
  import kornia.testing
  from kornia.testing import BaseTester, assert_close
label_desc: Use image node_id 5 for calling the TestEuclideanDistance obj's underlying member method code with example usage: obj.test_dynamo(device, dtype, torch_optimizer) without return types