[package]
edition = "2024"
rust-version = "1.95"
name = "egemma"
version = "0.1.0"
build = "build.rs"
include = [
"src/**/*.rs",
"examples/**/*.rs",
"Cargo.toml",
"README.md",
"CHANGELOG.md",
"LICENSE-*",
"build.rs",
"tests/integration.rs",
]
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Rust ONNX inference library for Google's EmbeddingGemma (text embeddings)"
readme = "README.md"
keywords = [
"embedding-gemma",
"gemma",
"embedding",
"onnx",
"ml",
]
categories = ["science"]
license = "MIT OR Apache-2.0"
repository = "https://github.com/Findit-AI/egemma"
[package.metadata.docs.rs]
features = [
"inference",
"serde",
]
rustdoc-args = [
"--cfg",
"docsrs",
]
[features]
coreml = [
"inference",
"ort/coreml",
]
cuda = [
"inference",
"ort/cuda",
]
default = ["inference"]
directml = [
"inference",
"ort/directml",
]
inference = [
"dep:ort",
"dep:tokenizers",
]
rocm = [
"inference",
"ort/rocm",
]
serde = ["dep:serde"]
tensorrt = [
"inference",
"ort/tensorrt",
]
[lib]
name = "egemma"
path = "src/lib.rs"
[[example]]
name = "embed_text"
path = "examples/embed_text.rs"
required-features = ["inference"]
[[test]]
name = "integration"
path = "tests/integration.rs"
required-features = ["inference"]
[dependencies.ort]
version = "2.0.0-rc.12"
optional = true
[dependencies.serde]
version = "1"
features = ["derive"]
optional = true
[dependencies.thiserror]
version = "2"
[dependencies.tokenizers]
version = "0.23"
optional = true
[dev-dependencies.serde_json]
version = "1"
[lints.rust]
rust_2018_idioms = "warn"
single_use_lifetimes = "warn"
[lints.rust.unexpected_cfgs]
level = "warn"
priority = 0
check-cfg = [
"cfg(all_tests)",
"cfg(tarpaulin)",
"cfg(docsrs)",
]
[profile.bench]
opt-level = 3
lto = "thin"
codegen-units = 1
debug = 0
debug-assertions = false
rpath = false
overflow-checks = false
incremental = false