Attach data refactor and tuner bugs [4/n] #7258

carmocca · 2021-04-28T15:59:18Z

What does this PR do?

Attach data refactor:

Each of the trainer functions is now responsible for calling attach_data to register their DataLoaders/DataModule.
No longer need to pass DataLoaders to trainer._launch()

Tuner bugs:

trainer.tuner.lr_find() and trainer.tuner.scale_batch_size() now calls trainer.tune() internally. This solves a bug where the trainer state was not set properly as we set it in trainer.tune()
trainer.tune() now has arguments for the different tuning functions.
trainer.tune() now returns the tuning result. The result is a {'scale_batch_size': Optional[int], 'lr_find': Optional[_LRFinder]}

The tuning changes are tied to the attach_data changes because the tuner relied on the setup_fit function which has been removed in this PR.

Before submitting

Was this discussed/approved via a GitHub issue? (not for typos and docs)
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Did you make sure your PR does only one thing, instead of bundling different changes together?
Did you make sure to update the documentation with your changes? (if necessary)
[n/a] Did you write any new necessary tests? (not for typos and docs)
Did you verify new and existing tests pass locally with your changes?
Did you update the CHANGELOG? (not for typos, docs, test updates, or internal minor changes/refactorings)

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pep8speaks · 2021-04-28T15:59:22Z

Hello @carmocca! Thanks for updating this PR.

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

Comment last updated at 2021-04-30 13:34:56 UTC

codecov · 2021-04-28T16:00:41Z

Codecov Report

Merging #7258 (70a16ea) into master (ea2287e) will decrease coverage by 0%.
The diff coverage is 100%.

@@          Coverage Diff           @@
##           master   #7258   +/-   ##
======================================
- Coverage      91%     91%   -0%     
======================================
  Files         199     199           
  Lines       12808   12807    -1     
======================================
- Hits        11688   11686    -2     
- Misses       1120    1121    +1

kaushikb11 · 2021-04-28T21:44:22Z

@carmocca

Why is this one PR doing so many things?

Non-exhaustive typing
Moved _validate_data_hooks into ConfigValidator
Each of the trainer functions is now responsible of calling attach_data to register their DataLoaders/DataModule.
No longer need to pass DataLoaders to _launch
Deprecate trainer.tuner.lr_find() and trainer.tuner.scale_batch_size() in favor of trainer.tune(). This solves a bug where the trainer state was not set properly as we set it in trainer.tune()
trainer.tune() now has arguments for the different tuning functions.
trainer.tune() now returns the tuning result.
Fixed bug where scale_batch_size would fail if the number of trials was 0

carmocca · 2021-04-28T21:49:12Z

Why is this one PR doing so many things?

All of those things are tied together. I just wrote the list of changes so it's easier for reviewers to follow.

edit: clarified the change list at the top and opened #7262 with parts of this PR

pytorch_lightning/trainer/trainer.py

Co-authored-by: Nicki Skafte <[email protected]>

CHANGELOG.md

docs/source/api_references.rst

pytorch_lightning/trainer/connectors/data_connector.py

awaelchli · 2021-04-30T00:58:43Z

pytorch_lightning/trainer/trainer.py

+        # links data to the trainer
+        self.data_connector.attach_data(model, val_dataloaders=val_dataloaders, datamodule=datamodule)


Side question: In trainer.fit we allow trainer.fit(datamodule) but not for test and validate. Do you know why? Did we decide explicit naming by keyword is better?

Good eye. I actually plan to open a PR adding this.

Not doing it yet as it would give myself conflicts

docs/source/advanced/training_tricks.rst

docs/source/advanced/lr_finder.rst

docs/source/advanced/training_tricks.rst

kaushikb11 · 2021-04-30T12:28:11Z

pytorch_lightning/tuner/tuning.py

+
+            max_lr: maximum learning rate to investigate
+
+            num_training: number of learning rates to test


Not related to this PR. num_training param doesn't seem intuitive.

cc: @SkafteNicki

I'm just moving the docstring around here

pytorch_lightning/trainer/trainer.py

pytorch_lightning/tuner/tuning.py

tests/trainer/test_trainer.py

kaushikb11

LGTM!

Co-authored-by: Kaushik B <[email protected]>

tchaton

LGMT !

carmocca added 10 commits April 27, 2021 14:13

_fit_impl refactor and types

395ce2a

Fix return

65aa690

Remove return docstring

b3f3314

Fixes

e7c3657

Fixes

8060424

Merge branch 'master' into use-fit-impl

c9a9ca9

Undo results change

67d5ca8

Revert changes for a separate PR

d7fbc5d

WIP

de7937e

Merge branch 'master' into attach-data-refactor

449041c

carmocca added refactor tuner labels Apr 28, 2021

carmocca added this to the v1.3 milestone Apr 28, 2021

carmocca self-assigned this Apr 28, 2021

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carmocca changed the title ~~[WIP] Attach data refactor and tuner bugs.~~ [WIP] Attach data refactor and tuner bugs [3/n] Apr 28, 2021

carmocca added 3 commits April 28, 2021 19:50

Deprecation messages

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Merge branch 'master' into attach-data-refactor

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Fixes

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carmocca added 2 commits April 29, 2021 00:11

Move copy_trainer_model_properties

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Code cleaning in preparation for 7258

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carmocca changed the title ~~[WIP] Attach data refactor and tuner bugs [3/n]~~ [WIP] Attach data refactor and tuner bugs [4/n] Apr 28, 2021

carmocca mentioned this pull request Apr 28, 2021

Code cleaning in preparation for #7258 [3/n] #7262

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Co-authored-by: Nicki Skafte <[email protected]>

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[WIP] Stricter argument hygiene for passing datamodules to trainer.fit or t… #7329

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Attach data refactor and tuner bugs [4/n] #7258

Attach data refactor and tuner bugs [4/n] #7258

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		# links data to the trainer
		self.data_connector.attach_data(model, val_dataloaders=val_dataloaders, datamodule=datamodule)


		max_lr: maximum learning rate to investigate

		num_training: number of learning rates to test

Attach data refactor and tuner bugs [4/n] #7258

Attach data refactor and tuner bugs [4/n] #7258

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carmocca commented Apr 28, 2021 • edited Loading

What does this PR do?

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Comment last updated at 2021-04-30 13:34:56 UTC

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