* Raise an error when lightning replaces an existing sampler
Currently, Trainer replaces the existing sampler with DistributedSampler
if running distributing training and `replace_sampler_ddp=True` (default
behaviour). If a user has configured an existing sampler, this would
lead to widely different results if running a distributed vs
non-distributed training.
This PR fixes this by raising an Error if user has configured a sampler
and uses `replace_sampler_ddp=True`. The recommended behavior from now
on is to either remove the sampler or set `replace_sampler_ddp=False`
* Fix tests
* Simpler fix
* Fix tests
* Make inner method protected
* Apply suggestions from code review
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* removed if dl from _reset_eval_dataloader()
* changed to if dl != None to be more safe
* hints from pep8speaks
Co-authored-by: ybrovman <ybrovman@ebay.com>
* diable val and test shuffling
* diable val and test shuffling
* diable val and test shuffling
* diable val and test shuffling
* log
* condition
* shuffle
* refactor
Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
* added get dataloaders directly using a getter
* deleted decorator
* added prepare_data hook
* refactored dataloader init
* refactored dataloader init
* added dataloader reset flag and main loop
* added dataloader reset flag and main loop
* added dataloader reset flag and main loop
* made changes
* made changes
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* fixed bad loaders
* fixed bad loaders
* fixed bad loaders
* fixed bad loaders
* fixed bad loaders
* fixed bad loaders
* fixed bad loaders
* fixed bad loaders
* fixed bad loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixes#909
* fixes#909
* bug fix
* Fixes#902
* added tpu docs
* added tpu flags
* add tpu docs + init training call
* amp
* amp
* amp
* amp
* optimizer step
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* fix test pkg create (#873)
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added test return and print
* added test return and print
* added test return and print
* added test return and print
* added test return and print
* Update pytorch_lightning/trainer/trainer.py
Co-Authored-By: Luis Capelo <luiscape@gmail.com>
* Fix segmentation example (#876)
* removed torchvision model and added custom model
* minor fix
* Fixed relative imports issue
* Fix/typo (#880)
* Update greetings.yml
* Update greetings.yml
* Changelog (#869)
* Create CHANGELOG.md
* Update CHANGELOG.md
* Update CHANGELOG.md
* Update PULL_REQUEST_TEMPLATE.md
* Update PULL_REQUEST_TEMPLATE.md
* Add PR links to Version 0.6.0 in CHANGELOG.md
* Add PR links for Unreleased in CHANGELOG.md
* Update PULL_REQUEST_TEMPLATE.md
* Fixing Function Signatures (#871)
* added tpu docs
* added tpu flags
* add tpu docs + init training call
* amp
* amp
* amp
* amp
* optimizer step
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added test return and print
* added test return and print
* added test return and print
* added test return and print
* added test return and print
* added test return and print
* added test return and print
* added test return and print
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Luis Capelo <luiscape@gmail.com>
Co-authored-by: Akshay Kulkarni <akshayk.vnit@gmail.com>
Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk>
Co-authored-by: Shikhar Chauhan <xssChauhan@users.noreply.github.com>
