* Use .comet.config file or env var for API key.
* Make CometLogger API key changes backwards compatible.
* Fix line too long.
* Add documentation about loading from ~/.comet_config.
* Update required comet_ml version.
* Comet logger: allow offline experiments with config file.
This adds a new argument to the logger to control the online / offline mode explicitly so that if you give an API key and a save_dir (e.g. to control where checkpoints go while having ~/.comet.config) you can specify which mode you want.
* Make CometLogger API key changes backwards compatible.
* Comet logger: change online argument to be offline.
For consistency with other loggers.
* chlog
Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
* export model to onnx
* prepare data before exporting
* support for dataloaders and tensors
* added tests
* use example_input_array
add to changelog
* updated docstring
* added onnx inference tests
* temp commit
* removed schema valid test
* add onnxruntime to environment.yml
* moved onnxruntime to environment.yml pip
* add example in doc
* add lines between code block
* added PR to changelog
* is file check
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* remove *
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* infer example outputs
* added doctest for onnx
* fix windows tests
* moved eval within condition block
* self.forward to self
* added docs
* fixed docs error
* added to toctree
* Update CHANGELOG.md
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* metrics: added bleu score and test bleu
* metrics: fixed type hints in bleu
* bleu score moved to metrics/functional/nlp.py
* refactor with torch.Tensor
* Update test_sequence.py
* refactor as Borda requests and nltk==3.2
* locked nltk==3.3
* nltk>=3.3, parametrized smooth argument for test
* fix bleu_score example
* added class BLEUScore metrics and test
* added class BLEUScore metrics and test
* update CHANGELOG
* refactor with torchtext
* torchtext changed to optional import
* fix E501 line too long
* add else: in optional import
* remove pragma: no-cover
* constants changed to CAPITALS
* remove class in tests
* List -> Sequence, conda -> pip, cast with tensor
* add torchtext in test.txt
* remove torchtext from test.txt
* bump torchtext to 0.5.0
* bump torchtext to 0.5.0
* Apply suggestions from code review
* ignore bleu score in doctest, renamed to nlp.py
* back to implementation with torch
* remove --ignore in CI test, proper reference format
* apply justus comment
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Jirka Borovec