Fixes the docs workflow which is failing after pip is picking up Jinja 3.20.
We only need >=2.3, this one sets it to 3.0.3 builds were successful last.
Imports python bindings and associated sources incubated in
https://github.com/jerinphilip/lemonade to bergamot-translator. Adds
a pybind11 dependency for python bindings.
Following the import, the python build is integrated into the existing
CMake based build system here. There is a command-line application
provided through python which provides the ability to fetch and prepare
models from model-repositories (like browsermt/students or OPUS).
Wheels built for a few common operating systems are provided via GitHub
releases through automated actions configured to run at tagged semantic
versions and pushes to main.
The documentation for python is also integrated into our existing
documentation setup. Previous documentation GitHub action is now
configured to run behind python builds in Ubuntu 18.04 Python3.7,
in order to pick up the packaged as a wheel bergamot module and the
sphinx documentation using the python module.
Formatting checks of black, isort with profile black and a pytype type
checker is configured for the python component residing in this repository.
* Convert marian-integration markdown to rst
* Convert native run into a script, include in rst
* Check with CI that the native running example works without fail
Unifies quality estimation with an interface, refactors previously available
quality scores to fit this interface. Adds a new class of model with Logistic
Regression powering the predictions as an implementation of said interface.
QE now provides annotations on words using subwords to word rule-based
algorithms working with space characters.
QualityEstimation
-----------------
Implementations of QE are bound together by a `QualityEstimator`
Interface.
1. The log-probabilities from the machine-translation model re-interpreted
as quality scores are crafted as an implementation of QualityEstimator.
2. A Logistic-Regression based model is added. This class of models is
trained supervised with scores labeled by a human annotator.
Handcrafted features - number of words, log probs from MT model and
statistics over the sequence are used to generate the numeric features.
LogisticRegressor, Matrix (to hold features) are added.
The creation of an instance is switched by the `AlignedMemory` supplied
(be it loaded from the file-system or supplied as a parameter). An empty
AlignedMemory leads to quality scores from NMT while supplying weights
of a trained logistic-regression model in binary format as the contents
lead to an additional pass through the said model to provide more
refined scores.
Both the above now transform subwords into "words" using a heuristic
algorithm, scanning for spaces. This allows the client to work with "words"
to denote quality instead of subwords, as the former is more sensible to
the user.
Testing
-------
1. BRT now has two new test apps to check the QE outputs in text
(covers subword to words) and numbers domain (covers quality scores).
These are tested with en-et models for which QualityEstimation is
available now, on a new input to avoid architecture/compiler issues.
2. Unit test for LogisticRegression model is added.
Docs
----
Doxygen now supports MathJax properly to render explanations for
Logistic Regressions' reductions in place to make computation more
efficient correctly.
Co-authored-by: Felipe C. Dos Santos <felipe.santos.k@gmail.com>
Co-authored-by: Jerin Philip <jerinphilip@live.in>
* Collapsing executables
* Adding new test executable
* Deleting old executable sources
* Updating brt to operate with modes
* cli-framework -> cli
* Updating workflows to check for bergamot instead of bergamot-translator-app
* Adding documentation
* Making fn pure virtual
* Shuffling apps into app namespace, alongside class documentation
* Include app folder in documentation
* BRT update service-cli -> native
* parser.h: service-cli -> native
* Updates to marian-integration.md
* Cleanup: Remove templates, interface proper
* change 4 to 2 cores for build instructions
* service-cli -> native
* Commenting the string constructor explanation
* Not doing halfway interface / inheritance
* Nick hates state, let's try this one
* Revert "Nick hates state, let's try this one"
This reverts commit e56db9f474.
* class -> struct before trying std::function stuff
* oop -> functional?
* Hints on what is happening
* app::ftable -> app::REGISTRY
* We have if-else and functions now.
And we won't have test apps.
* Doc linking to usage examples in brt
* Remove unordered_map
* Documentation updates
* Fix warning
* Adding a first version of clang-format
* Adding run-clang-format.py
* Adding coding styles to workflow
* Fix indentation on coding-styles workflow
* run-clang-format.'py'
* -style -> --style in python
* Updating ColumnLimit: 120
* Format update with clang-format
* Revert "Format update with clang-format"
This reverts commit 5340b19eae.
* Apply update after sync
* Removing a few empty lines
* Removing one more empty line
* Removing empty in workflow file
* Updating README with coding style instructions
* clang-format-* provided in this repository doc update
Co-authored-by: Nikolay Bogoychev <nheart@gmail.com>
* Use binary lexical shortlist in documentation
* MKL/AppleAccelerate note
Co-authored-by: Nikolay Bogoychev <nheart@gmail.com>
Co-authored-by: Jerin Philip <jphilip@ed.ac.uk>
* Updated marian-dev submodule
- cmake changes required after the submodule update
* Added workflows for building custom marian on mac and ubuntu
* Renamed cmake option
- Renamed USE_WASM_COMPATIBLE_SOURCES to USE_WASM_COMPATIBLE_SOURCE
- Use proper compile defnitions
- USE_WASM_COMPATIBLE_MARIAN=off will start using vanilla Marian
i.e. with full threading support, with exceptions, with MKL
- Changed the relevant documentation
A bug which crept in during manual merge is now fixed. PCItem -> Batch
on a PCQueue.
docs/marian-integration.md provides instructions to compile successfully
for multithread.
