dfdx 0.9.0

Ergonomic auto differentiation in Rust, with pytorch like apis.
Documentation 
[package]

name = "dfdx"

version = "0.9.0"

edition = "2021"

license = "MIT OR Apache-2.0"



description = "Ergonomic auto differentiation in Rust, with pytorch like apis."

homepage = "https://github.com/coreylowman/dfdx"

documentation = "https://docs.rs/dfdx"

repository = "https://github.com/coreylowman/dfdx"

readme = "README.md"



keywords = [

    "deep-learning",

    "neural-network",

    "backprop",

    "tensor",

    "autodiff",

]



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



[package.metadata.docs.rs]

features = ["nightly"]



[dependencies]

rand = "0.8.5"

rand_distr = "0.4.3"

matrixmultiply = "0.3.2"

num-traits = "0.2.15"

zip = "0.6.2"

cblas-sys = { version = "0.1.4", optional = true }

libc = { version = "0.2", optional = true }



[features]

default = []

nightly = []

cblas = ["dep:cblas-sys", "dep:libc"]

mkl-static-iomp = ["cblas"]

mkl-static-seq = ["cblas"]

mkl-dynamic-iomp = ["cblas"]

mkl-dynamic-seq = ["cblas"]



[dev-dependencies]

tempfile = "3.3.0"

mnist = "0.5.0"

indicatif = "0.16.2"



[build-dependencies]

rustc_version = "0.4.0"