[package]
name = "rtx-interpret"
version = "0.1.0"
edition = "2024"
rust-version = "1.92"
authors = ["RustyTorch++ Contributors"]
description = "Model interpretability library for RustyTorch++ (Captum equivalent)"
license = "MIT OR Apache-2.0"
repository = "https://github.com/rustytorch/rustytorch"
keywords = ["machine-learning", "interpretability", "attribution", "saliency"]
categories = ["science", "algorithms"]

[dependencies]
rtx-tensor = { path = "../rtx-tensor" }
rtx-autograd = { path = "../rtx-autograd" }
rtx-nn = { path = "../rtx-nn" }
thiserror = "2.0"
tracing = "0.1"
anyhow = "1.0"
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
bincode = "1.3"

[dev-dependencies]
approx = "0.5"

[features]
default = []
cuda = ["rtx-tensor/cuda"]
metal = ["rtx-tensor/metal", "rtx-nn/metal"]

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

[lints]
workspace = true