* Fixed support for torch Module type hints in LightningCLI
* - Fix issue with serializing values when type hint is Any.
- Run unit test only on newer torchvision versions in which the base class is Module.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Minor change
* Update CHANGELOG.md
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
* Dont use sphinx 4.0.0
* Dont use sphinx 4.0.0
* Update comment
* Simple
There is no other release between 3.5 and 4.0
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* - Added cli unit tests for help, print_config and submodules.
- Added to cli documentation use of subclass help and print_config, submodules and other minor improvements.
- Increased minimum jsonargparse version required for new documented features.
* Improvements to lightning_cli.rst
* Add check for all trainer parameters in test_lightning_cli_help
* Increased minimum jsonargparse version
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
* Try updating CI to latest fairscale
* Update availability of imports.py
* Remove some of the fairscale custom ci stuff
* Update grad scaler within the new process as reference is incorrect for spawn
* Remove fairscale from mocks
* Install fairscale 0.3.4 into the base container, remove from extra.txt
* Update docs/source/conf.py
* Fix import issues
* Mock fairscale for docs
* Fix DeepSpeed and FairScale to specific versions
* Swap back to greater than
* extras
* Revert "extras"
This reverts commit 7353479f
* ci
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
Co-authored-by: jirka <jirka.borovec@seznam.cz>
* Add single checkpoint capability
* Fix checkpointing in test, few cleanups
* Add comment
* Change restore logic
* Move vars around, add better explanation, make todo align with DeepSpeed team
* Fix checkpointing
* Remove deepspeed from extra, install in Dockerfile
* push
* pull
* Split to two tests to see if it fixes Deepspeed error
* Add comment
* Add context to call hook to handle all modules defined within the hook
* Expose some additional parameters
* Added docs, exposed parameters
* Make sure we only configure if necessary
* Setup activation checkpointing regardless, saves the user having to do it manually
* Add some tests that fail currently
* update
* update
* update
* add tests
* change docstring
* resolve accumulate_grad_batches
* resolve flake8
* Update DeepSpeed to use latest version, add some comments
* add metrics
* update
* Small formatting fixes, clean up some code
* Few cleanups
* No need for default state
* Fix tests, add some boilerplate that should move eventually
* Add hook removal
* Add a context manager to handle hook
* Small naming cleanup
* wip
* move save_checkpoint responsability to accelerator
* resolve flake8
* add BC
* Change recommended scale to 16
* resolve flake8
* update test
* update install
* update
* update test
* update
* update
* update test
* resolve flake8
* update
* update
* update on comments
* Push
* pull
* Update pytorch_lightning/plugins/training_type/deepspeed.py
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* Update pytorch_lightning/plugins/training_type/deepspeed.py
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* update
* Apply suggestions from code review
* Swap to using world size defined by plugin
* update
* update todo
* Remove deepspeed from extra, keep it in the base cuda docker install
* Push
* pull
* update
* update
* update
* update
* Minor changes
* duplicate
* format
* format2
Co-authored-by: SeanNaren <sean@grid.ai>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
Jirka Borovec