Made test more tolerant

    l2 = tf.square(guess - label)

    if len(inputs) > 2:

      l2 *= inputs[2]

    out_tensor = tf.reduce_mean(l2, axis=list(range(1, len(label._shape))))

    out_tensor = tf.reduce_mean(l2, axis=list(range(1, len(label.shape))))

    if set_tensors:

      self.out_tensor = out_tensor

    return out_tensor

    with context.eager_mode():

      with tfe.IsolateTest():

        result = layers.Divide()([1, 2], [2, 5])

        assert np.array_equal(result, [0.5, 0.4])

        assert np.allclose(result, [0.5, 0.4])

  def test_log(self):

    """Test invoking Log in eager mode."""