loss=torch.abs(pred-target)# 对应元素相减 returnloss 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 2)此时碰见@weighted_loss装饰器,则先跳入装饰器, 注意此时首先不计算l1 loss函数, mmdet/losses/losses/utils.py AI检测代码解析 defweighted_loss(loss_func): @funct...
Describe the bug The function F.mse_loss set reduction='mean' by default. Therefore, MSELoss Class executes mean operation no matter what is passed to 'reduction'. Bug fix @weighted_loss def mse_loss(pred, target): return F.mse_loss(pred, target, reduction="none")...
虽然在runner的train里,data的获取很简单,就是一个enumerate(dataloader): fori,data_batchinenumerate(self.data_loader):self._inner_iter=i self.call_hook('before_train_iter')self.run_iter(data_batch,train_mode=True,**kwargs)# model forward && calc loss && backpropself.call_hook('after_train_...
'networkx.algorithms.shortest_paths.weighted', 'networkx.algorithms.shortest_paths.astar', 'networkx.algorithms.shortest_paths.dense', 'networkx.algorithms.shortest_paths', 'networkx.algorithms.similarity', 'networkx.algorithms.simple_paths', 'networkx.algorithms.smallworld', 'networkx.algorithms.smetric'...