code: def __call__(self, score: th.Tensor, label):
      return -(
          label * th.log(sigmoid(score))
          + (1 - label) * th.log(1 - sigmoid(score))
      )
  
imports: from ..base_loss import *
  from .tensor_models import *
  import torch
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the BCELoss obj's underlying member method code with example usage: obj.__call__(score, label) and returns: unknown