Update loss.py

python/mxnet/gluon/loss.py

@@ -250,10 +250,11 @@ def hybrid_forward(self, F, pred, label, sample_weight=None, pos_weight=None):
  loss = F.relu(pred) - pred * label + \
  F.Activation(-F.abs(pred), act_type='softrelu')
  else:
- # We use the stable formula: x - x * z + (1 + z * pos_weight - z) * (log(1 + exp(-abs(x))) + max(-x, 0))
+ # We use the stable formula: x - x * z + (1 + z * pos_weight - z) * \
+ # (log(1 + exp(-abs(x))) + max(-x, 0))
  log_weight = 1 + F.broadcast_mul(pos_weight - 1, label)
  loss = pred - pred * label + F.broadcast_mul(log_weight,
-  F.Activation(-F.abs(pred), act_type='softrelu') + F.relu(-pred))
+ F.Activation(-F.abs(pred), act_type='softrelu') + F.relu(-pred))
  else:
  eps = 1e-12
  if pos_weight is None: