flashlight-decoder
Science Score: 54.0%
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✓CITATION.cff file
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✓codemeta.json file
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○Scientific vocabulary similarity
Low similarity (14.0%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: RuABraun
- License: mit
- Language: C++
- Default Branch: master
- Size: 2.01 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Flashlight Text: Fast, Lightweight Utilities for Text
Quickstart | Installation | Python Documentation | Citing
Flashlight Text is a fast, minimal library for text-based operations. It features:
- a high-performance, unopinionated beam search decoder
- a fast tokenizer
- an efficient Dictionary abstraction
Quickstart
The Flashlight Text Python package containing beam search decoder and Dictionary components is available on PyPI:
bash
pip install flashlight-text
To enable optional KenLM support in Python with the decoder, KenLM must be installed via pip:
bash
pip install git+https://github.com/kpu/kenlm.git
See the full Python binding documentation for examples and more.
Building and Installing
From Source (C++) | With vcpkg (C++) | From Source (Python) | Adding to Your Own Project (C++)
Requirements
At minimum, C++ compilation requires:
- A C++ compiler with good C++17 support (e.g. gcc/g++ >= 7)
- CMake — version 3.16 or later, and make
- A Linux-based operating system.
KenLM Support: If building with KenLM support, KenLM is required. To toggle KenLM support use the FL_TEXT_USE_KENLM CMake option or the USE_KENLM environment variable when building the Python bindings.
Tests: If building tests, Google Test >= 1.10 is required. The FL_TEXT_BUILD_TESTS CMake option toggles building tests.
Instructions for building/installing the Python bindings from source can be found here.
Building from Source
Building the C++ project from source is simple:
bash
git clone https://github.com/flashlight/text && cd text
cmake -S . -B build
cmake --build build --parallel
cd build && ctest && cd .. # run tests
cmake --install build # install at the CMAKE_INSTALL_PREFIX
To disable KenLM while building, pass -DFL_TEXT_USE_KENLM=OFF to CMake. To disable building tests, pass -DFL_TEXT_BUILD_TESTS=OFF.
KenLM can be downloaded and installed automatically if not found on the local system. The FL_TEXT_BUILD_STANDALONE option controls this behavior — if disabled, dependencies won't be downloaded and built when building.
With vcpkg
Flashlight Text can also be installed and used downstream with the vcpkg package manager. The port contains an optional feature with which to build and install with KenLM support:
bash
vcpkg install flashlight-text # no dependencies, or:
vcpkg install "flashlight-text[kenlm]" # install with KenLM
Adding Flashlight Text to a C++ Project
Given a simple project.cpp file that includes and links to Flashlight Text:
```c++
include
include
int main() { fl::lib::text::Dictionary myDict("someFile.dict"); std::cout << "Dictionary has " << myDict.entrySize() << " entries." << std::endl; return 0; } ```
The following CMake configuration links Flashlight and sets include directories:
```cmake cmakeminimumrequired(VERSION 3.10) set(CMAKECXXSTANDARD 17) set(CMAKECXXSTANDARD_REQUIRED ON)
add_executable(myProject project.cpp)
findpackage(flashlight-text CONFIG REQUIRED) targetlink_libraries(myProject PRIVATE flashlight::flashlight-text) ```
To link against the library providing KenLM support, use the flashlight::flashlight-text-kenlm imported target:
cmake
target_link_libraries(myProject
PRIVATE
flashlight::flashlight-text
# transitively links KenLM
flashlight::flashlight-text-kenlm
)
Contributing and Contact
Contact: jacobkahn@meta.com
Flashlight Text is actively developed. See CONTRIBUTING for more on how to help out.
Citing
You can cite Flashlight using:
@misc{kahn2022flashlight,
title={Flashlight: Enabling Innovation in Tools for Machine Learning},
author={Jacob Kahn and Vineel Pratap and Tatiana Likhomanenko and Qiantong Xu and Awni Hannun and Jeff Cai and Paden Tomasello and Ann Lee and Edouard Grave and Gilad Avidov and Benoit Steiner and Vitaliy Liptchinsky and Gabriel Synnaeve and Ronan Collobert},
year={2022},
eprint={2201.12465},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
License
Flashlight Text is under an MIT license. See LICENSE for more information.
Owner
- Name: Rudolf A. Braun
- Login: RuABraun
- Kind: user
- Location: Lausanne
- Website: ruabraun.github.io/
- Repositories: 5
- Profile: https://github.com/RuABraun
Citation (CITATION)
@misc{kahn2022flashlight,
title={Flashlight: Enabling Innovation in Tools for Machine Learning},
author={Jacob Kahn and Vineel Pratap and Tatiana Likhomanenko and Qiantong Xu and Awni Hannun and Jeff Cai and Paden Tomasello and Ann Lee and Edouard Grave and Gilad Avidov and Benoit Steiner and Vitaliy Liptchinsky and Gabriel Synnaeve and Ronan Collobert},
year={2022},
eprint={2201.12465},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
GitHub Events
Total
- Public event: 1
- Push event: 2
Last Year
- Public event: 1
- Push event: 2
Dependencies
- actions/checkout v4 composite
- actions/download-artifact v4 composite
- actions/setup-python v4 composite
- actions/upload-artifact v4 composite
- pypa/gh-action-pypi-publish v1.8.12 composite
- numpy * test