finalfusion-utils

Crates.iofinalfusion-utils
lib.rsfinalfusion-utils
version0.14.1
sourcesrc
created_at2019-03-19 18:20:55.471675
updated_at2021-12-17 12:28:26.072043
descriptionfinalfusion utilities
homepagehttps://github.com/finalfusion/finalfusion-rust
repositoryhttps://github.com/finalfusion/finalfusion-rust
max_upload_size
id122501
size113,622
Sebastian Pütz (sebpuetz)

documentation

https://docs.rs/finalfusion/

README

Travis CI

finalfusion-utils

Introduction

finalfusion-utils is a Rust crate offering various functionalities to process and query embeddings. finalfusion-utils supports conversion between different formats, quantization of embedding matrices, similarity and analogy queries as well as evaluation on analogy datasets.

Installation

Precompiled binaries

The following precompiled binaries can be found on the releases page:

  • x86_64-unknown-linux-gnu-mkl: glibc Linux build, statically linked against Intel MKL. This is the recommended build for Intel (non-AMD) CPUs.

  • x86_64-unknown-linux-musl: static Linux build using the MUSL C library. This binary does not link against a BLAS/LAPACK implementation and therefore does not support optimized product quantization.

  • universal-macos: dynamic macOS build. Supports both the x86_64 and ARM64 architectures. Linked against the Accelerate framework for BLAS/LAPACK.

Using cargo

finalfusion-utils can be installed using an up-to-date Rust toolchain, which can be installed with rustup.

With a valid Rust toolchain, the crate is most easily installed through cargo:

$ cargo install finalfusion-utils

Typically, you will want to enable support for a BLAS/LAPACK library to speed up matrix multiplication and enable optimized product quantization support. In order to do so, run

$ cargo install finalfusion-utils --features implementation

where implementation is one of the following:

  • accelerate: the macOS Accelerate framework.
  • intel-mkl: Intel MKL (downloaded and statically linked).
  • intel-mkl-amd: Intel MKL, preinstalled MKL libaries expected, override CPU detection for AMD CPUs.
  • netlib: any compatible system BLAS/LAPACK implementation(s).
  • openblas: system-installed OpenBLAS. This option is discouraged, unless the system OpenBLAS library is a single-threaded build with locking. Otherwise, OpenBLAS' threading interacts badly with application threads.

Building from source

finalfusion-utils can also be built from source, after cloning this repository execute the following command in the directory to find the exectuable under target/release/finalfusion:

$ cargo build --release

Usage

finalfusion-utils is built as a single binary, the different functionality is invoked through subcommands:

Converting embeddings

# Convert embeddings in fastText format to finalfusion
$ finalfusion convert -f fasttext -t finalfusion \
    embeddings.bin embeddings.fifu

# Convert embeddings in word2vec format to finalfusion
$ finalfusion convert -f word2vec -t finalfusion \
    embeddings.w2v embeddings.fifu

# Print help with all supported combinations:
$ finalfusion convert --help

Quantizing an embedding matrix

# Quantize embeddings in finalfusion format with a
# single attempt through product quantization 
$ finalfusion quantize -f finalfusion -q pq  -a 1 \
    embeddings.pq

Analogy and similarity queries

# Get the 15 nearest neighbours of "Tübingen" for
# embeddings in finalfusion format.
$ finalfusion similar -f finalfusion -k 15 \
    embeddings.fifu

# Get the 5 best answers for the analogy query
# "Berlin" is to "Deutschland" as "Amsterdam" to:
$ finalfusion analogy -f finalfusion -k 5 \
    Berlin Deutschland Amsterdam embeddings.fifu

Evaluation on analogy datasets

# Evaluate embeddings on some analogy dataset
$ finalfusion compute-accuracy embeddings.fifu \
    analogies.txt

Dump metadata

# Dump optionally stored metadata and store in
# metadata.txt, only supported for finalfusion
# format
$ finalfusion metadata embeddings.fifu \
    > metadata.txt

Convert Bucket Vocab to Explicit Vocab

# Converts a hash-bucket based subword vocab to
# one with explicitly stored n-grams.
$ finalfusion bucket-to-explicit buckets.fifu \
    explicit.fifu 

Print completion script

# Print completion script for zsh
$ finalfusion completions zsh
Commit count: 267

cargo fmt