(logits, labels, ignore=None)
return loss
Binary Cross entropy loss
      logits: [B, H, W] Variable, logits at each pixel (between -\infty and +\infty)
      labels: [B, H, W] Tensor, binary ground truth masks (0 or 1)
      ignore: void class id
Binary Cross entropy loss
      logits: [B, H, W] Variable, logits at each pixel (between -\infty and +\infty)
      labels: [B, H, W] Tensor, binary ground truth masks (0 or 1)
      ignore: void class id
Binary Cross entropy loss logits : [ B H W ] Variable logits at each pixel ( between - \ infty and + \ infty ) labels : [ B H W ] Tensor binary ground truth masks ( 0 or 1 ) ignore : void class id
def binary_xloss(logits, labels, ignore=None):
    """
    Binary Cross entropy loss
      logits: [B, H, W] Variable, logits at each pixel (between -\infty and +\infty)
      labels: [B, H, W] Tensor, binary ground truth masks (0 or 1)
      ignore: void class id
    """
    logits, labels = flatten_binary_scores(logits, labels, ignore)
    loss = StableBCELoss()(logits, Variable(labels.float()))
    return loss
def binary_xloss ( logits , labels , ignore = None ) : logits , labels = flatten_binary_scores ( logits , labels , ignore ) loss = StableBCELoss ( ) ( logits , Variable ( labels . float ( ) ) ) return loss