I would do something like:

` from clearml import Logger

```
def forward(...):
self.iteration += 1
weights = self.compute_weights(...)
m = (weights * (target-preds)).mean()
Logger.current_logger().report_scalar(title="debug", series="mean_weight", value=m, iteration=self.iteration)
return m `
```

GrievingTurkey78 I'm not sure I follow, are you asking how to add additional scalars ?

Awesome AgitatedDove14 Thanks a lot ðŸ™Œ

`class MyLoss(...): def forward(...): weights = self.compute_weights(...) return (weights * (target-preds)).mean()`

There seems to be a problem on certain batch when computing the weights. What would be the best way to log the batch that causes the problem, along with the weights being computed.