class_docstr: Unit tests for cntk_utils.
code: def test_huber_loss(self):
      i1 = input_variable((2))
      i2 = input_variable((2))
  
      np.testing.assert_array_equal(
          huber_loss(i1, i2).eval(
              {i1: [[2, 1], [1, 5]], i2: [[4, 1], [1, 4]]}
          ),
          [1.5, 0.5],
      )
  
file_path: CNTK/bindings/python/cntk/contrib/deeprl/tests/cntk_utils_test.py
imports: import unittest
  import numpy
  from cntk.contrib.deeprl.agent.shared.cntk_utils import huber_loss, negative_of_entropy_with_softmax
  from cntk.ops import input_variable
label_desc: Use image node_id 1 for calling the CNTKUtilsTest obj's underlying member method code with example usage: obj.test_huber_loss() without return types