* 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>
* 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
Akshay Kulkarni