code: def test_blur_equivalence(kernel_size, sigma, channels):
      for _ in range(10):
          input_tensor = torch.randn((3, channels, 128, 128))
          kornia = korniaGaussianBlur2d(
              kernel_size, sigma, separable=False
          )
          blur_kornia = kornia(input_tensor)
          gaussian = GaussianBlur2d(
              kernel_size=kernel_size, sigma=sigma, channels=channels
          )
          blur_gaussian = gaussian(input_tensor)
          torch.testing.assert_allclose(blur_kornia, blur_gaussian)
  
imports: import pytest
  import torch
  from kornia.filters import GaussianBlur2d
  from anomalib.models.components import GaussianBlur2d
label_desc: Use image node_id 1 for calling a global function with example usage: test_blur_equivalence(kernel_size, sigma, channels) without return types