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Fix outdated docs #1227

Merged
merged 1 commit into from
Mar 27, 2020
Merged

Fix outdated docs #1227

merged 1 commit into from
Mar 27, 2020

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5n7-sk
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@5n7-sk 5n7-sk commented Mar 24, 2020

Before submitting

  • Was this discussed/approved via a Github issue? (no need for typos and docs improvements)
  • Did you read the contributor guideline, Pull Request section?
  • Did you make sure to update the docs?
  • Did you write any new necessary tests?
  • If you made a notable change (that affects users), did you update the CHANGELOG?

What does this PR do?

Fix outdated docs: save_best_only was changed to save_top_k (#128).

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Anyone in the community is free to review the PR once the tests have passed.
If we didn't discuss your PR in Github issues there's a high chance it will not be merged.

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Good catch 🚀

@Borda Borda added docs Documentation related ready PRs ready to be merged labels Mar 24, 2020
@Borda Borda added this to the 0.7.2 milestone Mar 24, 2020
@awaelchli
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awaelchli commented Mar 25, 2020

If I do a full text search in the whole project, I also find it in the following files:

docs/source/weights_loading.rst
pytorch_lightning/trainer/__init__.py

Consider also updating it there.

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Borda commented Mar 25, 2020

We shall a bit more unify docs and use rather cross-refs if possible

@williamFalcon williamFalcon merged commit 3a93aaf into Lightning-AI:master Mar 27, 2020
@5n7-sk 5n7-sk deleted the fix/docs branch March 27, 2020 12:46
@awaelchli
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I still think it should be updated everywhere where it is outdated.

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Borda commented Mar 27, 2020

@awaelchli mind draft follow-up PR?

@awaelchli awaelchli mentioned this pull request Mar 27, 2020
5 tasks
williamFalcon added a commit that referenced this pull request Mar 28, 2020
* Example: Simple RL example using DQN/Lightning

* DQN RL Agent using Lightning

* Uses Iterable Dataset for Replay Buffer

* Buffer is populated by agent as training is carried out, updating the
dataset

* Applied autopep8 fixes

* * Updated line length from 120 to 110

* Update pl_examples/domain_templates/dqn.py

simplify get_device method

Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>

* Update pl_examples/domain_templates/dqn.py

Re-ordered imports

Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>

* CI: split tests-examples (#990)

* CI: split tests-examples

* tests without template

* comment depends

* CircleCI typo

* add doctest

* update test req.

* CI tests

* setup macOS

* longer train

* lover pred acc

* fix model

* rename default model

* lower tests acc

* typo

* imports

* fix test optimizer

* update calls

* fix Win

* lower Drone image

* fix call

* pytorch image

* fix test

* add dev image

* add dev image

* update image

* drone volume

* lint

* update test notes

* rename tests/models >> tests/base

* group models

* conftest

* optim imports

* typos

* fix import

* fix tests

* install AMP

* tests

* fix import

* Clean up

* added module docstring

* renamed variables to be more descriptive

* Added missing docstrings and type annotations

* Added gym to example requirements

* Added note to changelog

* updated example image

* update types

* rename script

* Update CHANGELOG.md

Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>

* another rename

* Disable validation when val_percent_check=0 (#1251)

* fix disable validation

* add test

* update changelog

* update docs for val_percent_check

* make "fast training" docs consistent

* calling self.forward() -> self() (#1211)

* self.forward() -> self()

* update changelog

Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>

* Fix requirements-extra.txt Trains package to release version (#1229)

* Fix requirement-extra use released Trains package

* Update README.md add Trains and links to the external Visualization section

Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>

* Remove unnecessary parameters to super() in documentation and source code (#1240)

Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>

* update deprecation warning (#1258)

* update docs for progress bat values (#1253)

* lower timeouts for inactive issues (#1250)

* update contrib list (#1241)

Co-authored-by: William Falcon <waf2107@columbia.edu>

* Fix outdated docs (#1227)

* Fix typo (#1224)

* drop unused Tox (#1242)

* system info (#1234)

* system info

* update big info

* test script

* update config

* rename script

* import path

* Changed smoothing in tqdm to decrease variability of time remaining between training / eval (#1194)

* Example: Simple RL example using DQN/Lightning

* DQN RL Agent using Lightning

* Uses Iterable Dataset for Replay Buffer

* Buffer is populated by agent as training is carried out, updating the
dataset

* Applied autopep8 fixes

* * Updated line length from 120 to 110

* Update pl_examples/domain_templates/dqn.py

simplify get_device method

Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>

* Update pl_examples/domain_templates/dqn.py

Re-ordered imports

Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>

* Clean up

* added module docstring

* renamed variables to be more descriptive

* Added missing docstrings and type annotations

* Added gym to example requirements

* Added note to changelog

* update types

* rename script

* Update CHANGELOG.md

Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>

* another rename

Co-authored-by: Donal Byrne <Donal.Byrne@xperi.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: William Falcon <waf2107@columbia.edu>
Co-authored-by: Adrian Wälchli <adrian.waelchli@students.unibe.ch>
Co-authored-by: Jeremy Jordan <13970565+jeremyjordan@users.noreply.github.com>
Co-authored-by: Martin.B <51887611+bmartinn@users.noreply.github.com>
Co-authored-by: Tyler Yep <tyep@stanford.edu>
Co-authored-by: Shunta Komatsu <59395084+skmatz@users.noreply.github.com>
Co-authored-by: Jack Pertschuk <jackpertschuk@gmail.com>
alexeykarnachev pushed a commit to alexeykarnachev/pytorch-lightning that referenced this pull request Apr 3, 2020
alexeykarnachev pushed a commit to alexeykarnachev/pytorch-lightning that referenced this pull request Apr 3, 2020
* Example: Simple RL example using DQN/Lightning

* DQN RL Agent using Lightning

* Uses Iterable Dataset for Replay Buffer

* Buffer is populated by agent as training is carried out, updating the
dataset

* Applied autopep8 fixes

* * Updated line length from 120 to 110

* Update pl_examples/domain_templates/dqn.py

simplify get_device method

Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>

* Update pl_examples/domain_templates/dqn.py

Re-ordered imports

Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>

* CI: split tests-examples (Lightning-AI#990)

* CI: split tests-examples

* tests without template

* comment depends

* CircleCI typo

* add doctest

* update test req.

* CI tests

* setup macOS

* longer train

* lover pred acc

* fix model

* rename default model

* lower tests acc

* typo

* imports

* fix test optimizer

* update calls

* fix Win

* lower Drone image

* fix call

* pytorch image

* fix test

* add dev image

* add dev image

* update image

* drone volume

* lint

* update test notes

* rename tests/models >> tests/base

* group models

* conftest

* optim imports

* typos

* fix import

* fix tests

* install AMP

* tests

* fix import

* Clean up

* added module docstring

* renamed variables to be more descriptive

* Added missing docstrings and type annotations

* Added gym to example requirements

* Added note to changelog

* updated example image

* update types

* rename script

* Update CHANGELOG.md

Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>

* another rename

* Disable validation when val_percent_check=0 (Lightning-AI#1251)

* fix disable validation

* add test

* update changelog

* update docs for val_percent_check

* make "fast training" docs consistent

* calling self.forward() -> self() (Lightning-AI#1211)

* self.forward() -> self()

* update changelog

Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>

* Fix requirements-extra.txt Trains package to release version (Lightning-AI#1229)

* Fix requirement-extra use released Trains package

* Update README.md add Trains and links to the external Visualization section

Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>

* Remove unnecessary parameters to super() in documentation and source code (Lightning-AI#1240)

Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>

* update deprecation warning (Lightning-AI#1258)

* update docs for progress bat values (Lightning-AI#1253)

* lower timeouts for inactive issues (Lightning-AI#1250)

* update contrib list (Lightning-AI#1241)

Co-authored-by: William Falcon <waf2107@columbia.edu>

* Fix outdated docs (Lightning-AI#1227)

* Fix typo (Lightning-AI#1224)

* drop unused Tox (Lightning-AI#1242)

* system info (Lightning-AI#1234)

* system info

* update big info

* test script

* update config

* rename script

* import path

* Changed smoothing in tqdm to decrease variability of time remaining between training / eval (Lightning-AI#1194)

* Example: Simple RL example using DQN/Lightning

* DQN RL Agent using Lightning

* Uses Iterable Dataset for Replay Buffer

* Buffer is populated by agent as training is carried out, updating the
dataset

* Applied autopep8 fixes

* * Updated line length from 120 to 110

* Update pl_examples/domain_templates/dqn.py

simplify get_device method

Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>

* Update pl_examples/domain_templates/dqn.py

Re-ordered imports

Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>

* Clean up

* added module docstring

* renamed variables to be more descriptive

* Added missing docstrings and type annotations

* Added gym to example requirements

* Added note to changelog

* update types

* rename script

* Update CHANGELOG.md

Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>

* another rename

Co-authored-by: Donal Byrne <Donal.Byrne@xperi.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: William Falcon <waf2107@columbia.edu>
Co-authored-by: Adrian Wälchli <adrian.waelchli@students.unibe.ch>
Co-authored-by: Jeremy Jordan <13970565+jeremyjordan@users.noreply.github.com>
Co-authored-by: Martin.B <51887611+bmartinn@users.noreply.github.com>
Co-authored-by: Tyler Yep <tyep@stanford.edu>
Co-authored-by: Shunta Komatsu <59395084+skmatz@users.noreply.github.com>
Co-authored-by: Jack Pertschuk <jackpertschuk@gmail.com>
@Borda Borda modified the milestones: v0.7., v0.7.x Apr 18, 2021
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4 participants