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* add ClusterEnvironment for LSF systems
* update init file
* add available cluster environments
* clean up LSFEnvironment
* add ddp_hpc as a distributed backend
* clean up SLURMEnvironment
* remove extra blank line
* init device for DDPHPCAccelerator
We need to do this so we don't send the model to the same device from multiple ranks
* committing current state
* add additional methods to ClusterEnvironments
* add NVIDIA mixin for setting up CUDA envars
* remove troubleshooting prints
* cleanup SLURMEnvironment
* fix docstring
* cleanup TorchElasticEnvironment and add documentation
* PEP8 puts a cork in it
* add set_ranks_to_trainer
* remove unused import
* move to new location
* update LSF environment
* remove mixin
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* Add callback to hook tests and add predict test
* Fix lambda callback test
* Simplify lambda call test
* Use LambdaCallback
* Dynamically append to called for the model
* Remove print
* Consistency
* Consistency
* Prepare args/kwargs testing
* yapf doesn't like dict literals
* Add arguments for fit no val test
* Add arguments for fit no val test
* add before_backward_hook
* add test
* resolve flake8
* resolve tests
* update changelog
* add on_before_backward to LightningModule
* update on comments
* Test arguments
* Datamodule refactor
* Fix eval test
* remove extra file
* resolve bug
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* Update full fit + val test
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* Remove FIXME
* Undo change
* Fix
* Parametrize fit hook test
* Comment
* Parametrize fit hook test with different precision plugins
* Fix tests
* Parametrize fit hook test with manual optimization
* Unnecessary parenthesis
* WIP
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* Fix message
* Test CI error
* Revert "Test CI error"
This reverts commit 39c4a85a83.
* Add ddp training type teardown
* Update CHANGELOG
* Adrian's fix
* Use destructor
* Update CHANGELOG.md
* RPC destructor
* Update pytorch_lightning/plugins/training_type/ddp.py
* Why do you not work :(
* Missing condition
* Fix deepspeed test
* GC collect in conftest
* Do not show warnings for special tests
* Needs to run on 1.8
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* Remove NCCL_DEBUG statement
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This reverts commit e0a3e8785d.
* README and adjust versions
* Avoid self.on_gpu call
* empty cache cleanup
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* Unroll parametrizations
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* Rename
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* On after backward refactor
* Do not call super
* Fixes
* Remove should_accumulate
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* Update tests
* Remove dev debug patch
* Fix test
* Remove optimizer arguments and typing
* Docs fixes
* Fix comment
* Undo changes
* Split manual and auto
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* edit arg to reload_dataloaders_every_n_epoch
* init reload_dataloaders_every_n_epoch
* edit logic to reload dl
* update arg to test datamodule
* update arg test dataloader
* edit reload dl logic in eval loop
* fix var name in reset_train_val_dataloaders
* fix error, use current_epoch attribute
* edit every_n_epoch to every_n_epochs
* edit every_n_epoch to every_n_epochs
* edit every_n_epoch to every_n_epochs
* edit every_n_epoch to every_n_epochs
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* edit every_n_epoch to every_n_epochs
* assert reload_dataloaders_every_n_epochs positive
* assert reload_dataloaders_every_n_epochs positive
* add trainer property should reload dl
* update should reload dl in train loop
* condition on should reload dl in eval loop
* pep8
* fix update should reload dl in train loop
* add test case
* replace assertion with misconfig exception
* remove unused variable
* remove unnecessary checks
* replace to BoringModel
* remove unrequired comment
* deprecate _every_epoch
* add deprecated argument to trainer
* test case for deprecated arg
* remove unrequired assertion in train loop
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* modify misconfig exception for int
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* conv bool to int of depreciated _every_epoch
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* merge tests for reload dls
* add propery should reload dl
* removed and added to trainer property
* use property in train loop
* remove deprecated test
* add deprecated test to new file
* test case for exception
* update test datamodule every_n_epochs
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* edit format if statement
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* typo in exception
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* update varname in should_reload_dl_epoch
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* Fix CHANGELOG. Update deprecation versions
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* Remove deprecated *_loop.py files
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* Added base docs for IPUs
* Fix
* Add details around poptorch profiler and model parallelism
* more description
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* Cleanup
* Better name
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* Add some details around device iterations and model parallelism
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* Add a small install comment
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* add extra test
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