class_docstr: Binary Cross Entropy Loss
  -(l_i \cdot log(\sigma(f(t_i))) + (1 - l_i) \cdot \log(1 - \sigma(f(t_i))))
  l_i : label i from {0, 1}
  f : score function
  \sigma : logistic sigmoid function
  t_i : triple i
code: def __init__(self):
      super(BaseBCELoss, self).__init__()
  
label_desc: Use image node_id 1 to create a new BaseBCELoss object from inherited base classes: BaseLoss with example: obj = BaseBCELoss()