loss=obj(pred,target,weight) print(loss,8/8) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 1.3. 内部实现逻辑 本质上使用的装饰器实现loss的封装,简单说下调用的流程: 1)调用forward方法,内部调用了 l1_loss函数; AI检测代码解析 @weighted_loss defl1_loss(pred,target): """L1 l...
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_...
'mmdet.core.hook.checkloss_hook', 'mmdet.core.hook.ema', 'mmdet.core.hook.memory_profiler_hook', 'mmdet.core.hook.set_epoch_info_hook', 'mmdet.core.utils.dist_utils', 'six.moves', 'mmdet.core.mask.mask_target', 'pycocotools', 'pycocotools._mask', 'pycocotools.mask', 'mmdet.co...