code: def test_compute():
      size = 51
      np_y_pred = np.random.rand(size)
      np_y = np.random.rand(size)
      np_gmrae = np.exp(
          np.log(
              np.abs(np_y - np_y_pred) / np.abs(np_y - np_y.mean())
          ).mean()
      )
  
      m = GeometricMeanRelativeAbsoluteError()
      y_pred = torch.from_numpy(np_y_pred)
      y = torch.from_numpy(np_y)
  
      m.reset()
      m.update((y_pred, y))
  
      assert np_gmrae == pytest.approx(m.compute())
  
imports: import os
  import numpy
  import pytest
  import torch
  import ignite.distributed
  from ignite.contrib.metrics.regression import GeometricMeanRelativeAbsoluteError
  from ignite.engine import Engine
  from ignite.exceptions import NotComputableError
label_desc: Use image node_id 3 for calling a global function with example usage: test_compute() without return types