* new way of passing dataloaders
* fixed docs
* fixed codestyle to follow flake8
* allow val/test be list of dataloaders and smarter checking
* added test
* fix flake error
* fix linking to new test model
* split into multiple test
* fix naming and typo
* minor documentation changes
* remove random file
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* better error/warning message
* final adjustments
* update CHANGELOG.md
Co-authored-by: William Falcon <waf2107@columbia.edu>
I am updating the project's Sphinx documentation to fix (#819). The issue is related to a library the Sphinx extension `nbsphinx` (to load Jupyter Notebooks) loads into the docs context (RequireJS). That library conflicts with other theme libraries, causing the latter to be not loaded. This would result in several crashes, the most obvious of them the lack of anchors.
The fix above solves all errors -- and now anchors work.
* Added max number of steps in Trainer
* Added docstring
* Fix flake8 errors
* Clarified docstrings
* Fixed flake8 error
* Added min_steps to Trainer
* Added steps and epochs test
* flake8
* minor fix
* fix steps test in test_trainer
* Split steps test into 2 tests
* Refactor steps test
* Update test_trainer.py
* Minor in test_trainer.py
* Update test_trainer.py
* Address PR comments
* Minor
Co-authored-by: William Falcon <waf2107@columbia.edu>
* 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>
* added initial semantic segmentation example
* removed unnecessary lines.
* changed according to reviews
* minor changes
* Added some documentation for Dataset class
* Fixed some long lines
* added docstring for LightningModule
* added outline of all features
* updated common use cases doc
* updated common use cases doc
* updated common use cases doc
* updated common use cases doc
* updated common use cases doc
* updated common use cases doc
* updated common use cases doc
* updated common use cases doc
* updated common use cases doc
* updated common use cases doc
* updated common use cases doc
* updated common use cases doc
* updated common use cases doc
* updated docs
* Allow experiment versions to be overridden by passing a string value.
Allow experiment names to be empty, in which case no per-experiment subdirectory will be created and checkpoints will be saved in the directory given by the save_dir parameter.
* Document tensorboard api changes
* Review comment fixes plus fixed test failure for minimum requirements build
* More format fixes from review
* initial implementation
* formatting, pass through profiler, docstring
* call profiler during training
* add initial tests
* report stats when training is done
* fix formatting
* error handling, bugfix in passthroughprofiler
* finish documenting profiler arg in Trainer
* relax required precision for profiling tests
* option to dump cProfiler results to text file
* use logging, format with black
* include profiler in docs
* improved logging and better docs
* appease the linter
* better summaries, wrapper for iterables
* fix typo
* allow profiler=True creation
* more documentation
* add tests for advanced profiler
* Update trainer.py
* make profilers accessible in pl.utilities
* reorg profiler files
* change import for profiler tests
Co-authored-by: William Falcon <waf2107@columbia.edu>