Dice loss is smaller when computed on entire batch

## 🐛 Bug

I noticed that when I compute the dice loss on an entire batch the loss is smaller than computing it singularly for each sample and then averaging it. Is this behavior intended?


## Expected behavior

Dice loss on batch equivalent to average of dice losses

## Environment

Using loss from segmentation_models_pytorch
