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Add ModelCheckpoint.to_yaml method #3048

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merged 9 commits into from
Sep 27, 2020
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mpariente
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What does this PR do

Add simple to_json() method to ModelCheckpoint.
In the current code, it requires three lines, and it could be automated by lightning.
Fixes #3047 (disclaimer: my issue with no answer yet)

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@pep8speaks
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pep8speaks commented Aug 19, 2020

Hello @mpariente! Thanks for updating this PR.

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

Comment last updated at 2020-09-27 10:53:00 UTC

@mergify mergify bot requested a review from a team August 19, 2020 10:20
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mergify bot commented Aug 20, 2020

This pull request is now in conflict... :(

@Borda Borda added this to the 0.9.x milestone Aug 20, 2020
@mergify mergify bot requested a review from a team August 23, 2020 09:59
@Borda Borda added the feature Is an improvement or enhancement label Aug 24, 2020
@justusschock
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Actually I'd prefer not to use json for this. If we really want this (which still needs to be considered), I'd prefer to go with YAML instead of JSON here, since we use yaml for most other human readable serialization and IMO should not mix file formats to much.

@rohitgr7
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why not both or maybe more? to_some_format(format='YAML' or 'JSON' or ...)?
only if we really want this (which still needs to be considered)

@mpariente
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If we really want this (which still needs to be considered)

I can make the required changes, but I'd like to know if you want it or not beforehand.

@Borda
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Borda commented Aug 25, 2020

personally I would prefer YAML as it is readable and it can be used as an architecture draft, but we can have both...
any other thoughts on the API side? @PyTorchLightning/core-contributors

@Borda Borda added design Includes a design discussion discussion In a discussion stage labels Aug 25, 2020
@justusschock
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I would strongly recommend not to do both, since this is really not necessary here. It's just so that you know which checkpoints to use and to consider. Doing both is a typical overkill and we still have to keep the effort to maintain in mind (probably not much here, but it increases with every little bit).

@mpariente
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YAML only would be ok. It's just to have a one-liner to dump the saved models history.

I think there is a point to this feature because having this file is useful after training, for stochastic weight averaging or ensemble methods etc.. And if we don't dump this file, we have to open the checkpoint to have it's validation performance, which is not efficient.

@rohitgr7
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yeah, YAML sounds good. Let's do YAML then :).

pytorch_lightning/callbacks/model_checkpoint.py Outdated Show resolved Hide resolved
tests/callbacks/test_model_checkpoint.py Outdated Show resolved Hide resolved
pytorch_lightning/callbacks/model_checkpoint.py Outdated Show resolved Hide resolved
tests/callbacks/test_model_checkpoint.py Outdated Show resolved Hide resolved
@mergify mergify bot requested a review from a team September 25, 2020 11:55
@Borda Borda changed the title Add ModelCheckpoint.to_json method Add ModelCheckpoint.to_yaml method Sep 25, 2020
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LGTM

@mergify mergify bot requested a review from a team September 25, 2020 11:56
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@mergify mergify bot requested a review from a team September 25, 2020 12:50
@mpariente
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Sorry, I got absorbed by something else and forgot the PR.
Thanks for pushing this through @Borda !

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Borda commented Sep 25, 2020

@mpariente seems that with the update to YAML the test is not correct, mind have look at it...

@mpariente
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This week end, I won't have time.
But I'll have a look on Monday.

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mergify bot commented Sep 27, 2020

This pull request is now in conflict... :(

@Borda
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Borda commented Sep 27, 2020

This week end, I won't have time.
But I'll have a look on Monday.

It seems you did it, thank you :]

@Borda Borda added the ready PRs ready to be merged label Sep 27, 2020
@Borda Borda removed the ready PRs ready to be merged label Sep 27, 2020
@mpariente
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Yeah, finally ^^
What happening with the tests, you rebased master? The failures are not related right?

@rohitgr7
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good to go now @Borda

@Borda Borda added the ready PRs ready to be merged label Sep 27, 2020
@Borda Borda merged commit 3d76f60 into Lightning-AI:master Sep 27, 2020
@mpariente mpariente deleted the patch-1 branch September 27, 2020 14:47
@Borda Borda modified the milestones: 1.1, 0.9.x Sep 28, 2020
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ModelCheckpoint instance to JSON
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