arcweight 0.3.0

A high-performance, modular library for weighted finite state transducers with comprehensive examples and benchmarks
Documentation

arcweight

There is very little structured metadata to build this page from currently. You should check the main library docs, readme, or Cargo.toml in case the author documented the features in them.

This version has 13 feature flags, 4 of them enabled by default.

default

parallel (default)

serde (default)

rayon (default)

bincode (default)

bytemuck

fast-alloc

gpu

memmap2

mimalloc

pollster

rkyv

wgpu

zero-copy