6 releases
0.5.2 | Oct 31, 2022 |
---|---|
0.5.1 | Oct 31, 2022 |
0.4.2 | Oct 13, 2022 |
#890 in Machine learning
76KB
977 lines
Additional toolings for rust
rust_hero is a rust assistant that utilizes NLP to enhance the quality of rust code. It supports unsafe
and lifetime
(todo) prediction.
[dependencies]
rust_hero = "0.5"
Classify unsafe Rust code
For each function in Rust, the unsafe
keyword utilizes the unsafe superpowers. However, the unsafe
keyword is not necessary if it can be taken out while the program is compiled successfully.
rust_hero
infers the necessity of unsafe
keywords without the need of recompiling. rust_hero
trains a microsoft/codebert based model and take advantage of bert's strong reasoning capability to inference the necessity of unsafe
.
Declaration
Implementation of the language query in this project is based on BrianHicks/tree-grepper.
Performance
It costs 2.06s and 2.90s on average for rust_hero
inferencing one rust file on Intel I7-12700K CPU and NVIDIA 3080 12GB GPU, seperately.
rust_hero
written in Rust achieves up to 6.58X and 13.04X performance speedup over rust_hero
written in Python language for GPU and CPU, seperately.
Installation
Runtime dependencies for rust_hero
sudo apt install build-essential cmake pkg-config libssl-dev wget zip git
Download the tree-grepper
vendor (cargo build
also download the vendor automatically):
bash ./scripts/runtime.sh
It uses libtorch-1.12.0
(See rust-bert) to inference rust_hero. Download the libtorch with CPU or CUDA from following links:
CPU: https://download.pytorch.org/libtorch/cpu/libtorch-cxx11-abi-shared-with-deps-1.12.0%2Bcpu.zip
CUDA: https://download.pytorch.org/libtorch/cu116/libtorch-cxx11-abi-shared-with-deps-1.12.0%2Bcu116.zip
Unzip the file and set the environment path in .bashrc:
export LIBTORCH=$libtorchDir$/libtorch
export LD_LIBRARY_PATH=${LIBTORCH}/lib:$LD_LIBRARY_PATH
source .bashrc
or in 'envConfig' of work directory:
export LIBTORCH=$libtorchDir$/libtorch
export LD_LIBRARY_PATH=${LIBTORCH}/lib:$LD_LIBRARY_PATH
source envConfig
Prepare rust data for rust_hero test (optional):
50 rust files for testing is elaboratly selected from open-source rust project including on rust-openssl
, tokio
, anyhow
, hyper
, rand
, regex
and rayon
:
bash ./scripts/prepare_data.sh
Example usage for rust_hero:
cargo run data/error.rs
rust_hero
also supports classifling all rust files of one directory:
cargo run data/
Dependencies
~28–41MB
~702K SLoC