* typehints for trainer
fix type links in docs
fix types in docs
type hints for trainer methods
fix fit docs
switch to comments
readability
added sphinx typehints extension
wip
remove typehints from docstring
more type annotations
fix spaces
* Update trainer.py
Co-authored-by: William Falcon <waf2107@columbia.edu>
* 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>
* 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 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
* 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>
* remove unnecessary pass statements
* use isinstance for type checks
* remove unnecessary else/elif after return
* remove unnecessary return statements
* move doc string to top
* merge isinstance calls
* remove unnecessary else/elif after raise
* use list comprehension
* do not use len without comparison
* add missing shebang
* revert isinstance check back to type
broke tests, because bool is actually subclass of int
* add missing period to doc string
* remove unnecessary pass statements
* use isinstance for type checks
* remove unnecessary else/elif after return
* remove unnecessary return statements
* move doc string to top
* merge isinstance calls
* remove unnecessary else/elif after raise
* use list comprehension
* do not use len without comparison
* add missing shebang
* revert isinstance check back to type
broke tests, because bool is actually subclass of int
* add missing period to doc string
* Fix default ckpt path when logger exists (#771)
* rename logging -> loggers (#767)
* move logging >> loggers
* add warning
* fix tests
* logging alias
* formatting
* formatting
* use isinstance for type checks
* revert isinstance check back to type
broke tests, because bool is actually subclass of int
* add more detail to tbptt example (#755)
* add more detail to tbptt example
* warn user about new arg in training_step
Co-authored-by: Vadim Bereznyuk <kuynzereb@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Jeremy Jordan <13970565+jeremyjordan@users.noreply.github.com>
* use tqdm.auto in trainer
This will import the ipywidgets version of tqdm if available. This works nicely in notebooks by not filling up the log.
In the terminal it will use the same old tqdm.
We might also want to consider passing in the tqdm we want as an argument since there may be some edge cases where ipywidgets is available but the interface doesn't support it (e.g. vscode?) or isn't working. In which case people will get a warning message, but may want to configure it themselves.
* use `from tqdm.auto` in eval loop
* indents
* updated gitignore
* updated gitignore
* updated links in ninja file
* updated docs
* finished callbacks
* finished callbacks
* finished callbacks
* fixed left menu
* added callbacks to menu
* added direct links to docs
* added direct links to docs
* added direct links to docs
* added direct links to docs
* added direct links to docs
* added direct links to docs
* updated gitignore
* updated links in ninja file
* updated docs
* finished callbacks
* finished callbacks
* finished callbacks
* fixed left menu
* added callbacks to menu
* added direct links to docs
* added direct links to docs
* added direct links to docs
* added direct links to docs
* added direct links to docs
* added direct links to docs
* finished rebase
* making private members
* making private members
* making private members
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* set auto dp if no backend
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* fixed lightning import
* cleared spaces
* cleared spaces
* cleared spaces
* cleared spaces
* cleared spaces
* cleared spaces
* cleared spaces
* cleared spaces
* cleared spaces
* cleared spaces
* finished lightning module
* finished lightning module
* finished lightning module
* finished lightning module
* added callbacks
* added loggers
* added loggers
* added loggers
* added loggers
* added loggers
* added loggers
* added loggers
* added loggers
* set auto dp if no backend
* added loggers
* added loggers
* added loggers
* added loggers
* added loggers
* added loggers
* flake 8
* flake 8
* fix docs path
* updated gitignore
* updated gitignore
* updated links in ninja file
* updated docs
* finished callbacks
* finished callbacks
* finished callbacks
* fixed left menu
* added callbacks to menu
* added direct links to docs
* added direct links to docs
* added direct links to docs
* added direct links to docs
* added direct links to docs
* added direct links to docs
* updated gitignore
* updated docs
* finished callbacks
* finished callbacks
* finished callbacks
* fixed left menu
* added callbacks to menu
* added direct links to docs
* added direct links to docs
* added direct links to docs
* added direct links to docs
* added direct links to docs
* added direct links to docs
* finished rebase
* making private members
* making private members
* making private members
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* set auto dp if no backend
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* fixed lightning import
* cleared spaces
* cleared spaces
* cleared spaces
* cleared spaces
* cleared spaces
* finished lightning module
* finished lightning module
* finished lightning module
* finished lightning module
* added callbacks
* added loggers
* added loggers
* added loggers
* added loggers
* added loggers
* added loggers
* added loggers
* added loggers
* added loggers
* added loggers
* added loggers
* flake 8
* flake 8
* fix docs path
* flake 8
* Update theme_variables.jinja
* updated gitignore
* Update README.md
* updated gitignore
* updated links in ninja file
* updated docs
* Update README.md
* Update README.md
* finished callbacks
* finished callbacks
* finished callbacks
* fixed left menu
* added callbacks to menu
* added direct links to docs
* added direct links to docs
* added direct links to docs
* added direct links to docs
* added direct links to docs
* fixing TensorBoard (#687)
* flake8
* fix typo
* fix tensorboardlogger
drop test_tube dependence
* formatting
* fix tensorboard & tests
* upgrade Tensorboard
* test formatting separately
* try to fix JIT issue
* add tests for 1.4
* added direct links to docs
* updated gitignore
* updated links in ninja file
* updated docs
* finished callbacks
* finished callbacks
* finished callbacks
* fixed left menu
* added callbacks to menu
* added direct links to docs
* added direct links to docs
* added direct links to docs
* added direct links to docs
* added direct links to docs
* added direct links to docs
* finished rebase
* making private members
* making private members
* making private members
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* set auto dp if no backend
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* working on trainer docs
* fixed lightning import
* cleared spaces
* cleared spaces
* cleared spaces
* cleared spaces
* cleared spaces
* cleared spaces
* cleared spaces
* cleared spaces
* cleared spaces
* cleared spaces
* finished lightning module
* finished lightning module
* finished lightning module
* finished lightning module
* added callbacks
* added loggers
* added loggers
* added loggers
* added loggers
* added loggers
* added loggers
* added loggers
* added loggers
* set auto dp if no backend
* added loggers
* added loggers
* added loggers
* added loggers
* added loggers
* added loggers
* flake 8
* flake 8
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Renamed `on_sanity_check_start` to `on_train_start` and added `on_train_end` to `ModelHooks`
* changed tests to use `on_train_start` instead of `on_sanity_check_start`
* type: debug
Calculate the adequate number of steps to run during sanity_check.
This fixes the bug when there are two or more validation dataloaders.
- Before: total=self.num_sanity_val_steps
- After: total=self.num_sanity_val_steps*len(self.get_val_dataloaders())
* type: refactor
Put total=... in the next line
* type: refactor
run flake8
* use print for INFO and lower levels summarize()
* use logging.INFO instead of magic number
* bring logging.info back for other cases
* move logging config to __init__.py
* prepend the model summary with a newline
* feat: add reducelronplateau callback
* feat: use reducelronplateau callback in trainer
* feat: only on unsupported lr schedulers
* feat: last but not the least merge of master
* feat: merge master
* feat: support only on scheduler in reduceLrOnPlateauScheduler
* refactor: code style
* Update pt_callbacks.py
* Update trainer.py
* Update train_loop_mixin.py
* Update trainer.py
* Update train_loop_mixin.py
* Splitted progress bars
* Iterable dataset total batches fix
* Use dynamic ncols and use batch as units
* Count epochs from 1 in progress bar
* Fix for disabled progress bar
* Code simplifications
* Unit tests for num_gpu property as proxy for __parse_gpu_ids.
* Refactoring __parse_gpu_ids
* Moved the function outside the class as it is
an utility function and did not depend on class in any way.
* Added unit tests for it.
* Mocked torch.cuda.device_count function in tests.
This allows the tests to be run on machines that do not have gpus.
* Fixed the parse_gpu_ids function to handle -1 case.
Function now handles -1 the same way as it does for '-1'.
* Unit tests for root_gpu added.
Added backend as a parameter as currently depending on backend set
or not, code fails with exception in certain circumstances, before
giving a wrong answer.
* Moved __set_root_gpu function out of the class.
This function does not depend on the class and can be tested
more easily this way.
Also added unit tests for this function. They simply reuse
data for the root_gpu property.
* determine_root_gpu_device passes unit tests.
* num_gpus passes unit tests.
Also added a None test for this function.
* parse_gpu_ids tests changed to reflect desired state after refactoring.
Planning to refactor parse_gpu_ids to always return list of ints.
This will simplify code that use output of this function.
* * parse_gpu_ids always returns lists
* parse_gpu_ids checks given ids against available ids
* parse_gpu_ids raises exception for non existant ids
* parse_gpu_ids returns None when no gpus are available
* cleaned up determine_root_gpu_device
* cleaned up num_gpus property
* Updated unit tests to reflect changes in the functions
* Flake8 fixes
* Moved fixture code up before where it is used.
* Updated documentation.
* Changed tests to match the API:
* gpus=-1 or gpus='-1' should use all available gpu devices
* gpus=N
* N=0: no gpus should be used.
* N>0: N gpus should be used
* gpus=list of ints or a comma separated string of numbers:
Use the gpus indicated by the list or the string.
* Fixed code to pass all the changed tests for parsing gpus param.
* Refactoring parse_gpu_ids function.
* flake8 fixes.
* Updating documentation.
* flake8 fixes.
* flake8 fixes.
* flake8 fixes
* Update trainer.py
* Update dp_mixin.py
* Make reduce_distributed_output a stand alone function.
Fix imports.
Fix flake8.
* Add comet_ml dependency to tests requirements.txt
* Revert "Make reduce_distributed_output a stand alone function. Fix imports. Fix flake8."
This reverts commit eac0338
* Merge with master.
* moved dp, ddp outside of trainer
* added main mixins
* finished major mixin refactor
* flake8
* finished major mixin refactor
* finished major mixin refactor
* finished major mixin refactor
* finished major mixin refactor
* finished major mixin refactor
* finished major mixin refactor
* finished major mixin refactor
srush