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# See Cargo.toml.orig for the original contents.

[package]
edition = "2021"
name = "burn-efficient-kan"
version = "0.2.0"
authors = ["Vladislav Grechannik <vgechannik@gmail.com>"]
build = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "An efficient pure-Rust implementation of Kolmogorov-Arnold Network (KAN)."
readme = "README.md"
keywords = [
    "machine-learning",
    "deep-learning",
    "neural-networks",
    "kan",
    "burn",
]
categories = ["science"]
license = "MIT"
repository = "https://github.com/VlaDexa/burn-efficient-kan"

[lib]
name = "burn_efficient_kan"
path = "src/lib.rs"

[[example]]
name = "mnist"
path = "examples/mnist/main.rs"

[dependencies.burn]
version = "0.14"

[dependencies.ndarray]
version = "0.15"

[dependencies.ndarray-linalg]
version = "0.16"

[dev-dependencies.burn]
version = "0.14"
features = [
    "wgpu",
    "train",
    "vision",
    "tui",
]

[dev-dependencies.ndarray-linalg]
version = "0.16"
features = ["netlib-system"]

[features]
default = []
intel-mkl = ["ndarray-linalg/intel-mkl"]
intel-mkl-static = ["ndarray-linalg/intel-mkl-static"]
intel-mkl-system = ["ndarray-linalg/intel-mkl-system"]
netlib = ["ndarray-linalg/netlib"]
netlib-static = ["ndarray-linalg/netlib-static"]
netlib-system = ["ndarray-linalg/netlib-system"]
openblas = ["ndarray-linalg/openblas"]
openblas-static = ["ndarray-linalg/openblas-static"]
openblas-system = ["ndarray-linalg/openblas-system"]