918fa2b3f1
Add a check for optimizer attatched to lr_scheduler ( #5338 )
...
* add a check for scheduler and optimizer
* pep
* Apply suggestions from code review
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
(cherry picked from commit c7d0f4c3a2
2021-01-06 12:58:06 +01:00
9cfbf8d609
Disable checkpointing, earlystopping and logging with fast_dev_run ( #5277 )
...
* Disable checkpointing, earlystopping and logger with fast_dev_run
* docs
* chlog
* disable callbacks and enable DummyLogger
* add log
* use dummy logger method
* Apply suggestions from code review
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: chaton <thomas@grid.ai>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
(cherry picked from commit f740245521
2021-01-06 12:57:24 +01:00
bb366232e7
Add non-existing resume_from_checkpoint acceptance for auto-resubmit ( #4402 )
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* Add empty resume_from_checkpoint acceptance #4366
* Fix general error catch with focused file check
* Add fsspec HTTP extras
Add fsspec's HTTPFileSystem support through http extras.
pl has supported remote http file (e.g. #2925 ),
so this commit do not add new functionality.
* Fix potential too much logging in DDP
* Add PR changelog
* Add well-written argument explanation
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* Fix DDP-compatible restore logging
Notify from where the states are restored.
This feature temporally deleted as a result of PR review.
With succeeding review, added with DDP compatibility.
* Fix utility import pathes
* Refactor load step commentaries
* Refactor hpc ckpt suffix acquisition
* Refactor restore/hpc_load match
* Refactor hpc load trial
* Refactor checkpoint dir check
* Refactor unneeded function nest
* Refactor nested If
* Refactor duplicated cache clear
* Refactor attempt flow with if/elif
* Fix pip8
* Refactor hook commentary
Co-authored-by: chaton <thomas@grid.ai>
* Fix pep8
* Refactor hpc load checkpoint path acquisition
* Fix pip8
* Fix typo
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* Fix typo
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* Fix doc
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* Refactor None Union type with Optional
* Fix build-doc CI failure debuged in #5329
* Fix fsspec import during build-doc #5329
* Fix test epoch
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* Fix test with latest test models
* .
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: chaton <thomas@grid.ai>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
Co-authored-by: Roger Shieh <sh.rog@protonmail.ch>
(cherry picked from commit b0051e8c03
2021-01-06 12:55:38 +01:00
cc607d5937
[Docs] update docs for resume_from_checkpoint ( #5164 )
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* update docs and add pathlib support
* fix
(cherry picked from commit dd442b6d33
2021-01-06 12:53:23 +01:00
53b0cb910b
update isort config ( #5335 )
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* update isort config
* apply
(cherry picked from commit 724f1051f0
2021-01-06 12:49:23 +01:00
c0e9a78db4
supports --num-nodes on DDPSequentialPlugin() ( #5327 )
...
(cherry picked from commit d20fd8e5ab
2021-01-06 12:48:17 +01:00
4292fe0532
Fix metric state reset ( #5273 )
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* Fix metric state reset
* Fix test
* Improve formatting
Co-authored-by: Ananya Harsh Jha <ananya@pytorchlightning.ai>
(cherry picked from commit 4913cbb987
2021-01-06 12:48:01 +01:00
5ad13dc964
Trainer.test should return only test metrics ( #5214 )
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* resolve bug
* merge tests
(cherry picked from commit 9ebbfece5e
2021-01-06 11:55:21 +01:00
fe41492b6c
Minor doc fixes ( #5139 )
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* minor doc fix
* minor doc fix
* Apply suggestions from code review
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
* suggestions
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
(cherry picked from commit 8d8098c04e
2021-01-06 11:55:09 +01:00
d19d711dcf
skip some description from pypi ( #5234 )
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* skip some description from pypi
* flake8
(cherry picked from commit 9b3c6a3e84
2021-01-06 11:40:16 +01:00
0858beaf6b
[bugfix] Group defaults to WORLD if None ( #5125 )
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* [bugfix] Group defaults to WORLD if None
* fix no_grad
* Update pytorch_lightning/utilities/distributed.py
* Update pytorch_lightning/utilities/distributed.py
Co-authored-by: Gregor Koporec <gregork@unicorn.gorenje.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
(cherry picked from commit 176735097a
2021-01-06 11:37:43 +01:00
74d0652164
flake8 ++
2021-01-05 09:58:37 +01:00
fd5322d3e7
Update warning if ckpt directory is not empty ( #5209 )
2021-01-05 09:58:37 +01:00
dcd29aef06
feat(wandb): offset logging step when resuming ( #5050 )
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* feat(wandb): offset logging step when resuming
* feat(wandb): output warnings
* fix(wandb): allow step to be None
* test(wandb): update tests
* feat(wandb): display warning only once
* style: fix PEP issues
* tests(wandb): fix tests
* tests(wandb): improve test
* style: fix whitespace
* feat: improve warning
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* feat(wandb): use variable from class instance
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* tests(wandb): check warnings
* feat(wandb): use WarningCache
* tests(wandb): fix tests
* style: fix formatting
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-01-05 09:58:37 +01:00
d0b23f784a
[bugfix] Correct call to torch.no_grad ( #5124 )
...
Co-authored-by: Gregor Koporec <gregork@unicorn.gorenje.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
2021-01-05 09:58:37 +01:00
ac996fb008
Fixed docs for WandbLogger ( #5128 )
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Fixed a small bug with the `WandbLogger` docs.
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Roger Shieh <sh.rog@protonmail.ch>
2021-01-05 09:58:37 +01:00
0211f7f9b2
Disable pl optimizer temporarily to fix AMP issues ( #5163 )
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* Disable pl optimizer temporarily to fix AMP issues
* Add todo and enable pl optimizer in the test
2021-01-05 09:58:37 +01:00
6b19198aae
[bug-fix] Metric reduction with Logging ( #5150 )
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* add test
* resolve bug
* udpate test
* wrongly copy / paste
* update test
* resolve a second bug
Co-authored-by: Ubuntu <ubuntu@ip-172-31-62-109.ec2.internal>
2021-01-05 09:58:37 +01:00
9669c80f29
[bugfix] remove nan loss in manual optimization ( #5121 )
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* remove nan loss whe missing
* Update pytorch_lightning/core/lightning.py
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
* Apply suggestions from code review
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2021-01-05 09:58:37 +01:00
13bbf4b3f2
Un-balanced logging properly supported ( #5119 )
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* resolve bug
* clean code
* resolve comments
* Update tests/trainer/optimization/test_multiple_optimizers.py
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* resolve another bug
* add comments
* use abs to find diff
* update
* resolve flake8
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2021-01-05 09:58:37 +01:00
58a2993766
support number for logging with sync_dist=True ( #5080 )
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* support number
* add two tests
* wip
* add ddp in special test
* remove a test
* move device to bottom
* simplify test
* update test
* Update pytorch_lightning/core/step_result.py
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
* resolve sync_ddp
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-01-05 09:58:37 +01:00
a7fe24e9a1
Fix hang in DDP HPC accelerators ( #5157 )
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* Fix hang in DDP HPC accelerators
init_device was never called
* Update CHANGELOG.md
2021-01-05 09:58:36 +01:00
1d13943605
Fix reset TensorRunningAccum ( #5106 )
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* Fix reset TensorRunningAccum
* add test for TensorRunningAccum's reset method
* fix CI failed due to PEP8
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2021-01-05 09:58:36 +01:00
151d86e40b
Update isort config ( #5142 )
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* Update isort config
* Apply isort with new config
* Fix typo in isort config
* fix rebase
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2021-01-05 09:57:37 +01:00
81e9d4260e
Fix saved filename in ModelCheckpoint if it already exists ( #4861 )
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* disable version if not required
* disable version if not required
* pep
* chlog
* improve test
* improve test
* parametrize test and update del_list
* Update pytorch_lightning/callbacks/model_checkpoint.py
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
* try appending version to already saved ckpt_file
* Revert "try appending version to already saved ckpt_file"
This reverts commit 710e05e01f738d982aabf1f36c09fa59293e5c0c.
* add more assertions
* use BoringModel
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
Co-authored-by: chaton <thomas@grid.ai>
Co-authored-by: Roger Shieh <sh.rog@protonmail.ch>
2021-01-05 09:57:37 +01:00
c72880f109
hotfix: dataloaders - add unimplemented methods ( #5352 )
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* add unimplemented methods
* test
* test
* flake8
2021-01-05 03:41:20 -05:00
d88cf4a652
Add Support for multiple train loaders ( #1959 )
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* add support for wrong dtype in apply_func
* apply loader resetting to possible collection of loaders
* add combined loader iter class
* integrate combined loader iter to training loop
* fix imports
* fix imports
* finish supporters
* add tests for supporters
* add test for model with multiple loaders
* fix trainer integration
* fix instance check
* Train loaders (#4032 )
* patch for issues discussed in #1959 , encapsulating underlying datastructures returned from train_dataloader
* update data_loading.py to it uses patch discussed in #1959
* rename class
* Separate CombinedLoaderIterator into two classes, and update related tests. (#4606 )
* Fix the bugs after rebasing.
* Add custom get_len for apply_to_collection
* Refactor MultiIterator to be as CombinedLoaderIterator
* To get the right num_training_batches. Call the wrapper for multi trainloader in data_loading.py, instead of training_loop.py
* Reload _loader_iters when calling __iter__
* Don't transform DataLoader to CombinedLoaderIterator when it's along
* Updates test_fit_multiple_train_loaders for testing num_training_batches
* Seperate CombinedLoaderIterator into CombinedLoaderIterator and CombinedDataLoader. Add CombinedDataset for unified DataLoader format.
* Initialize CombinedDataLoader before calculating num_training_batches. Also updating self._worker_check for multiple loaders
* Update tests for supporters
* Update tests for multiple trainloaders. Add tests about few_workers for multiple loaders.
* Fix pep8 issues
* Add tests for train_loader_patch.py
* Add descriptions to multiple_trainloader_mode
* Remove unused variables
* Add docstrings and typing
* Add more tests for better converage
* Remove unused commented codes
* Add sampler property
* Remove extract_dataset
* Update typing
* pep8
* Update train_loader_patch.py
* Apply suggestions from code review
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Update pytorch_lightning/trainer/supporters.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* reviewer comments
* fix stupid import
* add docs
* add back line separator
* fix line sep
* pep8
* Apply suggestions from code review
* fix
* fix
* Apply suggestions from code review
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* Apply suggestions from code review
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* flake8
Co-authored-by: Justus Schock <justusschock@justuss-mbp.fritz.box>
Co-authored-by: Christofer Fransson <christofer_fransson@yahoo.com>
Co-authored-by: YI-LIN SUNG <r06942076@ntu.edu.tw>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-01-04 19:57:53 +00:00
b72ed71d4e
Refactor: clean trainer device & distrib setters ( #5297 )
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* naive replace
* simplify
* clean
* .
* fix
* .
* fix
* fix
2021-01-04 17:10:13 +00:00
957583544a
mark todo exceptions ( #5320 )
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* mark todo exceptions
* .
* .
* .
* .
* .
* .
* .
* .
* try
* .
2021-01-04 09:07:56 +01:00
af833f673c
drop deprecated TrainResult ( #5323 )
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* drop TrainResult
* .
* .
* .
* .
* .
* .
2021-01-04 09:54:21 +08:00
f2c2a692e1
drop deprecated fbeta metrics ( #5322 )
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* drop deprecated fbeta metrics
* flake8
* imports
* chlog
2021-01-02 00:49:23 +00:00
fb90eec515
drop deprecated checkpoint filepath ( #5321 )
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* drop deprecated checkpoint filepath
* tests
2021-01-02 00:08:29 +01:00
9dbdffca1e
[Metrics] R2Score ( #5241 )
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* add r2metric
* change init
* add test
* add docs
* add math
* Apply suggestions from code review
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* changelog
* adjusted parameter
* add more test
* pep8
* Apply suggestions from code review
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* add warnings for adjusted score
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2021-01-01 12:23:19 +01:00
73e06fd7c8
fix trainer distributed attributes ( #5303 )
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* fix trainer distributed attributes
* .
* fix
2020-12-31 11:10:44 +01:00
7f71ee9265
Classification metrics overhaul: stat scores (3/n) ( #4839 )
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* Add stuff
* Change metrics documentation layout
* Add stuff
* Add stat scores
* Change testing utils
* Replace len(*.shape) with *.ndim
* More descriptive error message for input formatting
* Replace movedim with permute
* PEP 8 compliance
* WIP
* Add reduce_scores function
* Temporarily add back legacy class_reduce
* Division with float
* PEP 8 compliance
* Remove precision recall
* Replace movedim with permute
* Add back tests
* Add empty newlines
* Add empty line
* Fix permute
* Fix some issues with old versions of PyTorch
* Style changes in error messages
* More error message style improvements
* Fix typo in docs
* Add more descriptive variable names in utils
* Change internal var names
* Break down error checking for inputs into separate functions
* Remove the (N, ..., C) option in MD-MC
* Simplify select_topk
* Remove detach for inputs
* Fix typos
* Update pytorch_lightning/metrics/classification/utils.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Update docs/source/metrics.rst
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Minor error message changes
* Update pytorch_lightning/metrics/utils.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Reuse case from validation in formatting
* Refactor code in _input_format_classification
* Small improvements
* PEP 8
* Update pytorch_lightning/metrics/classification/utils.py
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Update pytorch_lightning/metrics/classification/utils.py
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Update docs/source/metrics.rst
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Update pytorch_lightning/metrics/classification/utils.py
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Apply suggestions from code review
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Alphabetical reordering of regression metrics
* Change default value of top_k and add error checking
* Extract basic validation into separate function
* Update to new top_k default
* Update desciption of parameters in input formatting
* Apply suggestions from code review
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* Check that probabilities in preds sum to 1 (for MC)
* Fix coverage
* Split accuracy and hamming loss
* Remove old redundant accuracy
* Minor changes
* Fix imports
* Improve docstring descriptions
* Fix imports
* Fix edge case and simplify testing
* Fix docs
* PEP8
* Reorder imports
* Add top_k parameter
* Update changelog
* Update docstring
* Update docstring
* Reverse formatting changes for tests
* Change parameter order
* Remove formatting changes 2/2
* Remove formatting 3/3
* .
* Improve description of top_k parameter
* Apply suggestions from code review
* Apply suggestions from code review
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Remove unneeded assert
* Update pytorch_lightning/metrics/functional/accuracy.py
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Remove unneeded assert
* Explicit checking of parameter values
* Apply suggestions from code review
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* Apply suggestions from code review
* Fix top_k checking
* PEP8
* Don't check dist_sync in test
* add back check_dist_sync_on_step
* Make sure half-precision inputs are transformed (#5013 )
* Fix typo
* Rename hamming loss to hamming distance
* Fix tests for half precision
* Fix docs underline length
* Fix doc undeline length
* Replace mdmc_accuracy parameter with subset_accuracy
* Update changelog
* Fix unwanted accuracy change
* Enable top_k for ML prob inputs
* Test that default threshold is 0.5
* Fix typo
* Update top_k description in helpers
* updates
* Update styling and add back tests
* Remove excess spaces
* fix torch.where for old versions
* fix linting
* Update docstring
* Fix docstring
* Apply suggestions from code review (mostly docs)
* Default threshold to None, accept only (0,1)
* Change wrong threshold message
* Improve documentation and add tests
* Add back ddp tests
* Change stat reduce method and default
* Remove DDP tests and fix doctests
* Fix doctest
* Update changelog
* Refactoring
* Fix typo
* Refactor
* Increase coverage
* Fix linting
* Consistent use of backticks
* Fix too long line in docs
* Apply suggestions from code review
* Fix deprecation test
* Fix deprecation test
* Default threshold back to 0.5
* Minor documentation fixes
* Add types to tests
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: chaton <thomas@grid.ai>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
2020-12-30 20:49:50 +01:00
2094633181
Implement partial auroc metric ( #3790 )
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* Implement partial auroc metric
* Add pycodestyle changes
* Added tests for max_fpr
* changelog
* version for tests
* fix imports
* fix tests
* fix tests
* Added more thresholds in (0,1] to test max_fpr
* Removed deprecated 'reorder' param from auroc
* changelog
* Apply suggestions from code review
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* remove old structure
* Apply suggestions from code review
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* fix test error
Co-authored-by: Nicki Skafte <nugginea@gmail.com>
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-12-29 19:10:19 +01:00
ae9956f997
clean avail. imports & enums ( #5256 )
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* clean avail. imports
* enums
* fix missing
2020-12-29 19:02:18 +01:00
7a615b5651
add tests for Trainer attributes ( #5261 )
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* add tests for Trainer attributes
* drop empty
2020-12-29 18:56:13 +01:00
a884866ff0
Unify names in Utils ( #5199 )
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* warnings
* argparse
* mutils
* xla device
* deprecated
* tests
* simple
* flake8
* fix
* flake8
* 1.4
2020-12-22 00:23:33 +01:00
ccffc344ca
Classification metrics overhaul: accuracy metrics (2/n) ( #4838 )
...
* Add stuff
* Change metrics documentation layout
* Add stuff
* Change testing utils
* Replace len(*.shape) with *.ndim
* More descriptive error message for input formatting
* Replace movedim with permute
* PEP 8 compliance
* Division with float
* Style changes in error messages
* More error message style improvements
* Fix typo in docs
* Add more descriptive variable names in utils
* Change internal var names
* Break down error checking for inputs into separate functions
* Remove the (N, ..., C) option in MD-MC
* Simplify select_topk
* Remove detach for inputs
* Fix typos
* Update pytorch_lightning/metrics/classification/utils.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Update docs/source/metrics.rst
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Minor error message changes
* Update pytorch_lightning/metrics/utils.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Reuse case from validation in formatting
* Refactor code in _input_format_classification
* Small improvements
* PEP 8
* Update pytorch_lightning/metrics/classification/utils.py
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Update pytorch_lightning/metrics/classification/utils.py
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Update docs/source/metrics.rst
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Update pytorch_lightning/metrics/classification/utils.py
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Apply suggestions from code review
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Alphabetical reordering of regression metrics
* Change default value of top_k and add error checking
* Extract basic validation into separate function
* Update to new top_k default
* Update desciption of parameters in input formatting
* Apply suggestions from code review
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* Check that probabilities in preds sum to 1 (for MC)
* Fix coverage
* Split accuracy and hamming loss
* Remove old redundant accuracy
* Minor changes
* Fix imports
* Improve docstring descriptions
* Fix edge case and simplify testing
* Fix docs
* PEP8
* Reorder imports
* Update changelog
* Update docstring
* Update docstring
* Reverse formatting changes for tests
* Change parameter order
* Remove formatting changes 2/2
* Remove formatting 3/3
* .
* Improve description of top_k parameter
* Apply suggestions from code review
* Apply suggestions from code review
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Remove unneeded assert
* Update pytorch_lightning/metrics/functional/accuracy.py
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Remove unneeded assert
* Explicit checking of parameter values
* Apply suggestions from code review
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* Apply suggestions from code review
* Fix top_k checking
* PEP8
* Don't check dist_sync in test
* add back check_dist_sync_on_step
* Make sure half-precision inputs are transformed (#5013 )
* Fix typo
* Rename hamming loss to hamming distance
* Fix tests for half precision
* Fix docs underline length
* Fix doc undeline length
* Replace mdmc_accuracy parameter with subset_accuracy
* Update changelog
* Apply suggestions from code review
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Suggestions from code review
* Fix number in docs
* Update pytorch_lightning/metrics/classification/accuracy.py
* Replace topk by argsort in select_topk
* Fix changelog
* Add test for wrong params
* Add Google Colab badges (#5111 )
* Add colab badges to notebook
Add colab badges to notebook to notebooks 4 & 5
* Add colab badges
Co-authored-by: chaton <thomas@grid.ai>
* Fix hanging metrics tests (#5134 )
* Use torch.topk again as ddp hanging tests fixed in #5134
* Fix unwanted notebooks change
* Fix too long line in hamming_distance
* Apply suggestions from code review
* Apply suggestions from code review
* protect
* Update CHANGELOG.md
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: chaton <thomas@grid.ai>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
Co-authored-by: Roger Shieh <sh.rog@protonmail.ch>
Co-authored-by: Shachar Mirkin <shacharmirkin@gmail.com>
2020-12-21 16:42:51 +01:00
0f36525e8f
fix/enable - check F401 ( #5201 )
...
* refactor - check F401
* missed
* fix
2020-12-21 10:15:04 +01:00
35fd6e93c7
refactor - check E501 ( #5200 )
2020-12-21 14:23:09 +05:30
2d54116baa
annotat unused vars ( #5017 )
...
* annotate all unused vars
* rank_zero_warn
* Apply suggestions from code review
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
* f1 fixed
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2020-12-19 13:53:06 +01:00
f3748ba808
[feat] Enable self.log in callbacks ( #5094 )
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* enable to use self.log in callbacks
* update
* revert back to assert
2020-12-16 16:08:39 -05:00
c1920fefe1
set 1.2.0dev ( #5132 )
2020-12-14 19:14:20 +01:00
059eaecbb4
set xxx_AVAILABLE as protected ( #5082 )
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* sett xxx_AVAILABLE as protected
* docs
2020-12-14 20:19:05 +05:30
0327f6b4c2
Do not warn when the name key is used in the lr_scheduler dict ( #5057 )
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* Do not warn when the name key is used
* Missing line
* Consistency
* Update pytorch_lightning/callbacks/lr_monitor.py
* Update docs
* Update pytorch_lightning/core/lightning.py
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Update CHANGELOG
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-12-14 08:38:10 +01:00
16feb5137b
Refactor load in checkpoint connector ( #4593 )
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* Refactor load step commentaries
* Refactor hpc ckpt suffix acquisition
* Refactor restore/hpc_load match
* Refactor hpc load trial
* Refactor checkpoint dir check
* Refactor unneeded function nest
* Refactor nested If
* Refactor duplicated cache clear
* Refactor attempt flow with if/elif
* Fix pip8
* Refactor hook commentary
Co-authored-by: chaton <thomas@grid.ai>
* Fix pep8
* Refactor hpc load checkpoint path acquisition
* Fix pip8
* Fix doc
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* Refactor None Union type with Optional
Co-authored-by: chaton <thomas@grid.ai>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Roger Shieh <sh.rog@protonmail.ch>
2020-12-14 00:13:50 +08:00
3100b7839a
Allow any input in to_onnx and to_torchscript ( #4378 )
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* branch merge
* sample
* update with valid input tensors
* pep
* pathlib
* Updated with BoringModel and added more input types
* try fix
* pep
* skip test with torch < 1.4
* fix test
* Apply suggestions from code review
* update tests
* Allow any input in to_onnx and to_torchscript
* Update tests/models/test_torchscript.py
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* no_grad
* try fix random failing test
* rm example_input_array
* rm example_input_array
Co-authored-by: chaton <thomas@grid.ai>
Co-authored-by: Jeff Yang <ydcjeff@outlook.com>
Co-authored-by: Roger Shieh <sh.rog@protonmail.ch>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: edenlightning <66261195+edenlightning@users.noreply.github.com>
2020-12-12 18:17:03 +08:00
b5a2afd232
Remove beta arg from F1 class and functional ( #5076 )
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* remove beta from F1
* remove from functional
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
2020-12-12 15:14:17 +08:00
Rohit Gupta