add det distill combined
@@ -44,15 +44,17 @@ class CombinedLoss(nn.Layer):
def forward(self, input, batch, **kargs):
loss_dict = {}
+ loss_all = 0.
for idx, loss_func in enumerate(self.loss_func):
loss = loss_func(input, batch, **kargs)
if isinstance(loss, paddle.Tensor):
loss = {"loss_{}_{}".format(str(loss), idx): loss}
weight = self.loss_weight[idx]
- loss = {
- "{}_{}".format(key, idx): loss[key] * weight
- for key in loss
- }
+ for key in loss:
+ if key == "loss":
+ loss_all += loss[key] * weight
+ # else:
+ # loss[f"{key}_{idx}"] = loss[key]
loss_dict.update(loss)
- loss_dict["loss"] = paddle.add_n(list(loss_dict.values()))
+ loss_dict["loss"] = loss_all
return loss_dict
