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 __call__(self, score, label):
      pass
  
label_desc: Use image node_id 2 for calling the BaseBCELoss obj's underlying member method code with example usage: obj.__call__(score, label) without return types