ruvector-attention 0.1.31

Attention mechanisms for ruvector - geometric, graph, and sparse attention
Documentation 
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[[bench]]
harness = false
name = "attention_bench"
path = "benches/attention_bench.rs"

[[bench]]
harness = false
name = "attention_benchmarks"
path = "benches/attention_benchmarks.rs"

[[bin]]
name = "bench_runner"
path = "benches/attention_benchmarks.rs"

[dependencies.napi]
optional = true
version = "2"

[dependencies.napi-derive]
optional = true
version = "2"

[dependencies.rand]
version = "0.8"

[dependencies.rayon]
version = "1.10"

[dependencies.ruvector-math]
optional = true
version = "0.1.31"

[dependencies.serde]
features = ["derive"]
version = "1.0"

[dependencies.thiserror]
version = "1.0"

[dev-dependencies.approx]
version = "0.5"

[dev-dependencies.criterion]
version = "0.5"

[dev-dependencies.rand]
version = "0.8"

[[example]]
name = "hyperbolic_bench"
path = "examples/hyperbolic_bench.rs"

[features]
default = ["simd"]
math = ["dep:ruvector-math"]
napi = ["dep:napi-derive", "dep:napi"]
simd = []
wasm = []

[lib]
crate-type = ["rlib"]
name = "ruvector_attention"
path = "src/lib.rs"

[package]
authors = ["ruvector contributors"]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
categories = ["algorithms", "science"]
description = "Attention mechanisms for ruvector - geometric, graph, and sparse attention"
edition = "2021"
keywords = ["attention", "machine-learning", "vector-search", "graph-attention"]
license = "MIT OR Apache-2.0"
name = "ruvector-attention"
readme = "README.md"
repository = "https://github.com/ruvnet/ruvector"
version = "0.1.31"