* Use high refresh rate on Google Colab (#3786)
Automatically override progress_bar_refresh_rate when on Google
Colab. Also added a constant IS_COLAB in utilities to check
whether it is being run in colab or not.
(#3786)
* Show a warning instead of overriding when rate is low on colab
* Change warning to suggestion and move it
Moved warning to configure_progress_bar instead of on_trainer_init
* Apply suggestions from code review
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* add a mock test
Co-authored-by: chaton <thomas@grid.ai>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* first attempt
* update tests
* support multiple
* test bugfix
* changelog
* pep
* pep
* import order
* import
* improve test for resuming
* test
* update test
* add references test
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
* docstring suggestion deprecation
Co-authored-by: Jeff Yang <ydcjeff@outlook.com>
* paramref
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
Co-authored-by: Jeff Yang <ydcjeff@outlook.com>
* Add dirpath and filename parameter in ModelCheckpoint
* remove old function
* chlog
* codefactor
* update tests
* docs
* fix doctest and added tests
* pathlib dirpath
* dep version and docs
* try fix doctest
* pep
* suggestions
Co-authored-by: carmocca <carlossmocholi@gmail.com>
* suggestions
* fix test
* pep
* trigger tests
* Apply suggestions from code review
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
* suggestions
* try fix windows test
* add and update some tests
* trigger tests
* Apply suggestions from code review
* Apply suggestions from code review
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: William Falcon <waf2107@columbia.edu>
* ref: result 1/n (make monitor default to checkpoint_on to simplify result syntax)
* ref: result 1/n (make monitor default to checkpoint_on to simplify result syntax)
* ref: result 1/n (make monitor default to checkpoint_on to simplify result syntax)
* ref: result 1/n (make monitor default to checkpoint_on to simplify result syntax)
* ref: result 1/n (make monitor default to checkpoint_on to simplify result syntax)
* ref: result 1/n (make monitor default to checkpoint_on to simplify result syntax)
* ref: result 1/n (make monitor default to checkpoint_on to simplify result syntax)
* ref: result 1/n (make monitor default to checkpoint_on to simplify result syntax)
* ref: result 1/n (make monitor default to checkpoint_on to simplify result syntax)
* ref: result 1/n (make monitor default to checkpoint_on to simplify result syntax)
* ref: result 1/n (make monitor default to checkpoint_on to simplify result syntax)
* ref: result 1/n (make monitor default to checkpoint_on to simplify result syntax)
* ref: result 1/n (make monitor default to checkpoint_on to simplify result syntax)
* ref: result 1/n (make monitor default to checkpoint_on to simplify result syntax)
* ref: result 1/n (make monitor default to checkpoint_on to simplify result syntax)
* ref: result 1/n (make monitor default to checkpoint_on to simplify result syntax)
* ref: result 1/n (make monitor default to checkpoint_on to simplify result syntax)
* ref: result 1/n (make monitor default to checkpoint_on to simplify result syntax)
* ref: result 1/n (make monitor default to checkpoint_on to simplify result syntax)
* Update pytorch_lightning/callbacks/model_checkpoint.py
Co-authored-by: ananthsub <ananth.subramaniam@gmail.com>
* ref: result 1/n (make monitor default to checkpoint_on to simplify result syntax)
* force crash when max_epochs < epochs in a checkpoint
Co-authored-by: ananthsub <ananth.subramaniam@gmail.com>
Jirka Borovec