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Correctly reset metric objects in self.log #7055

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merged 12 commits into from
Apr 19, 2021

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SkafteNicki
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@SkafteNicki SkafteNicki commented Apr 16, 2021

What does this PR do?

Fixes #7052
Since commit Lightning-AI/torchmetrics@19b77cc in torchmetrics, the integration with lightning has been broken if the metric object have been tried to be logged directly. This is because the lightning logging implicit depends on the self._computed variable not being reset whenever reset is called.

This PR tries to solve this by making sure that reset of metric objects is only called once at the very end. Please note that I am not so familiar with the logger connection of the code base.

As an alternative we revert the changes in torchmetrics. However, it does make some sense that the self._computed variable should be reset when reset is called.

cc: @ethanwharris

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@SkafteNicki SkafteNicki added the bug Something isn't working label Apr 16, 2021
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The diff coverage is 100%.

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@SkafteNicki SkafteNicki requested a review from awaelchli as a code owner April 16, 2021 13:52
pytorch_lightning/core/step_result.py Outdated Show resolved Hide resolved
Comment on lines +242 to +244
if self._internal_type == ResultStoreType.INSIDE_BATCH_TRAIN_LOOP:
for opt_idx in list(epoch_metrics):
epoch_metrics[opt_idx].reset()
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@ananthsub ananthsub Apr 16, 2021

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could you explain this check? at the surface, inside the batch train loop reads like we're not at the epoch end?

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I am not completely sure about what is going on myself, but apparently the self._internal_type is equal to ResultStoreType.INSIDE_BATCH_TRAIN_LOOP even when we are at epoch end for all training metrics. self._internal_type is equal to ResultStoreType.OUTSIDE_BATCH_TRAIN_LOOP for validation metrics (atleast when this reset function is called).

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Correct. I think BATCH should be removed.

But I'd also like to clear all this entirely at some point.

pytorch_lightning/trainer/trainer.py Show resolved Hide resolved
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thanks for the fix @SkafteNicki !

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@ethanwharris ethanwharris left a comment

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Working for me 😃

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Nice job @SkafteNicki, thanks for the swift fix.

@ananthsub ananthsub added the priority: 0 High priority task label Apr 16, 2021
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pep8speaks commented Apr 16, 2021

Hello @SkafteNicki! Thanks for updating this PR.

There are currently no PEP 8 issues detected in this Pull Request. Cheers! 🍻

Comment last updated at 2021-04-19 08:46:31 UTC

Comment on lines +242 to +244
if self._internal_type == ResultStoreType.INSIDE_BATCH_TRAIN_LOOP:
for opt_idx in list(epoch_metrics):
epoch_metrics[opt_idx].reset()
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Correct. I think BATCH should be removed.

But I'd also like to clear all this entirely at some point.

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@Borda Borda left a comment

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lgtm

@Borda Borda added the ready PRs ready to be merged label Apr 18, 2021
@mergify mergify bot removed the has conflicts label Apr 19, 2021
@Borda Borda enabled auto-merge (squash) April 19, 2021 08:58
@edenlightning edenlightning added the 3rd party Related to a 3rd-party label Apr 19, 2021
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LGTM !

@@ -587,6 +578,14 @@ def get_non_metrics_keys(self):
"""
return [k for k, v in self.items() if not isinstance(v, Metric)]

def reset(self) -> None:
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Suggested change
def reset(self) -> None:
def reset_metrics(self) -> None:

Call at the end of epoch to reset Result objects
"""
for dl_idx in range(self.num_dataloaders):
epoch_metrics = self._internals[dl_idx] if not self.has_reduced else self._internals_reduced[dl_idx]
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In current usage, self.has_reduced should always be True right ?
Better to add assert self.has_reduced == True there and use self._internals_reduced directly ?

@Borda Borda merged commit fbee5a8 into Lightning-AI:master Apr 19, 2021
@SkafteNicki SkafteNicki deleted the metric_correct_reset branch April 28, 2023 11:07
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Metrics passed to self.log giving RuntimeError
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