code: def test_linex_loss(self):
      y = torch.rand(100, 10, 2)
      yhat_high = y + 1
      yhat_low = y - 1
  
      # when a is set to > 0, this loss panelize underestimate more.
      loss = LinexLoss(1)
      assert loss(yhat_high, y) < loss(yhat_low, y)
  
      # when a is set to < 0, this loss panelize overestimate more.
      loss = LinexLoss(-1)
      assert loss(yhat_high, y) > loss(yhat_low, y)
  
file_path: BigDL/python/chronos/test/bigdl/chronos/pytorch/loss/test_linex.py
imports: from bigdl.chronos.utils import LazyImport
  from unittest import TestCase
  import pytest
  from ...None import op_torch
label_desc: Use image node_id 3 for calling the TestChronosPytorchLoss obj's underlying member method code with example usage: obj.test_linex_loss() without return types