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Disable validation when val_percent_check=0 #1251

Merged
merged 5 commits into from
Mar 27, 2020
Merged

Disable validation when val_percent_check=0 #1251

merged 5 commits into from
Mar 27, 2020

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awaelchli
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@awaelchli awaelchli commented Mar 26, 2020 •
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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?

Fixes #1248 .

TODO:

  • write unit test
  • update docs to clarify that fast_dev_run will override val_percent_check setting
  • add to changelog

PR review

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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Make sure you had fun coding 🙃

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codecov bot commented Mar 26, 2020 •
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Codecov Report

Merging #1251 into master will increase coverage by <1%.
The diff coverage is 100%.

@@           Coverage Diff           @@
##           master   #1251    +/-   ##
=======================================
+ Coverage      91%     92%   +<1%     
=======================================
  Files          61      61            
  Lines        3153    3153            
=======================================
+ Hits         2879    2886     +7     
+ Misses        274     267     -7

@awaelchli awaelchli changed the title [WIP] Disable validation when val_percent_check=0 Disable validation when val_percent_check=0 Mar 26, 2020
ethanwharris
ethanwharris approved these changes Mar 26, 2020
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This is great! tested and documented :)

@ethanwharris ethanwharris requested a review from a team March 26, 2020 20:33
@Borda Borda added the feature Is an improvement or enhancement label Mar 26, 2020
@Borda Borda added this to the 0.7.2 milestone Mar 26, 2020
Borda
Borda approved these changes Mar 26, 2020
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LGTM 🚀

@Borda Borda requested review from jeremyjordan and a team March 26, 2020 20:51
jeremyjordan
jeremyjordan approved these changes Mar 27, 2020
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nice work on this PR! 🚀

@mergify mergify bot merged commit 2a4cd47 into Lightning-AI:master Mar 27, 2020
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mergify bot commented Mar 27, 2020

Great job! =)

@awaelchli awaelchli deleted the fixdisablevalidation branch March 27, 2020 02:13
@Borda Borda mentioned this pull request Mar 27, 2020
Merged
5 tasks
williamFalcon added a commit that referenced this pull request Mar 28, 2020
@djbyrne @Borda
@williamFalcon @jeremyjordan @bmartinn @TylerYep @5n7-sk @pertschuk
Example: Simple RL example using DQN/Lightning (#1232)
dab3b96 
* 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 <[email protected]>

* Update pl_examples/domain_templates/dqn.py

Re-ordered imports

Co-Authored-By: Jirka Borovec <[email protected]>

* 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 <[email protected]>

* 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 <[email protected]>

* 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 <[email protected]>

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

Co-authored-by: Jirka Borovec <[email protected]>

* 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 <[email protected]>

* 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 <[email protected]>

* Update pl_examples/domain_templates/dqn.py

Re-ordered imports

Co-Authored-By: Jirka Borovec <[email protected]>

* 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 <[email protected]>

* another rename

Co-authored-by: Donal Byrne <[email protected]>
Co-authored-by: Jirka Borovec <[email protected]>
Co-authored-by: William Falcon <[email protected]>
Co-authored-by: Adrian Wälchli <[email protected]>
Co-authored-by: Jeremy Jordan <[email protected]>
Co-authored-by: Martin.B <[email protected]>
Co-authored-by: Tyler Yep <[email protected]>
Co-authored-by: Shunta Komatsu <[email protected]>
Co-authored-by: Jack Pertschuk <[email protected]>
alexeykarnachev pushed a commit to alexeykarnachev/pytorch-lightning that referenced this pull request Apr 3, 2020
Disable validation when val_percent_check=0 (Lightning-AI#1251)
1db545a 
* fix disable validation

* add test

* update changelog

* update docs for val_percent_check

* make "fast training" docs consistent
alexeykarnachev pushed a commit to alexeykarnachev/pytorch-lightning that referenced this pull request Apr 3, 2020
@djbyrne @Borda
@williamFalcon @jeremyjordan @bmartinn @TylerYep @5n7-sk @pertschuk
Example: Simple RL example using DQN/Lightning (Lightning-AI#1232)
498dbda 
* 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 <[email protected]>

* Update pl_examples/domain_templates/dqn.py

Re-ordered imports

Co-Authored-By: Jirka Borovec <[email protected]>

* 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 <[email protected]>

* 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 <[email protected]>

* 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 <[email protected]>

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

Co-authored-by: Jirka Borovec <[email protected]>

* 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 <[email protected]>

* 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 <[email protected]>

* Update pl_examples/domain_templates/dqn.py

Re-ordered imports

Co-Authored-By: Jirka Borovec <[email protected]>

* 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 <[email protected]>

* another rename

Co-authored-by: Donal Byrne <[email protected]>
Co-authored-by: Jirka Borovec <[email protected]>
Co-authored-by: William Falcon <[email protected]>
Co-authored-by: Adrian Wälchli <[email protected]>
Co-authored-by: Jeremy Jordan <[email protected]>
Co-authored-by: Martin.B <[email protected]>
Co-authored-by: Tyler Yep <[email protected]>
Co-authored-by: Shunta Komatsu <[email protected]>
Co-authored-by: Jack Pertschuk <[email protected]>
@Borda Borda modified the milestones: v0.7., v0.7.x Apr 18, 2021
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@jeremyjordan jeremyjordan jeremyjordan approved these changes

@ethanwharris ethanwharris ethanwharris approved these changes

@Borda Borda Borda approved these changes

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Disabling validation with val_percent_check=0.0 not working
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@awaelchli @Borda @ethanwharris @jeremyjordan