[package]
name = "corgi"
description = "Machine learning, and automatic differentation implementation for Rust"
keywords = ["machine-learning", "neural-network", "deep-learning", "autograd", "tensor"]
categories = ["mathematics", "science"]
version = "0.9.9"
authors = ["Patrick Song <patricksongzy@gmail.com>"]
readme = "README.md"
homepage = "https://github.com/patricksongzy/corgi"
repository = "https://github.com/patricksongzy/corgi"
license = "MIT"
edition = "2018"

# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html

[profile.release]
lto = "fat"
codegen-units = 1
panic = "abort"

[dependencies]
rand = "0.8.3"
approx = "0.4.0"
mimalloc = { version = "0.1.26", default-features=false }
cblas-sys = { version = "0.1.4", optional = true }
openblas-src = { version = "0.10.4", optional = true}
netlib-src = { version = "0.8.0", optional = true}

[features]
f32 = []
blas = []
openblas = ["blas", "cblas-sys", "openblas-src/static"]
netlib = ["blas", "cblas-sys", "netlib-src/static"]