Cargo.toml

[package]
name = "tch"
version = "0.18.1"
authors = ["Laurent Mazare <lmazare@gmail.com>"]
edition = "2021"
build = "build.rs"

description = "Rust wrappers for the PyTorch C++ api (libtorch)."
repository = "https://github.com/LaurentMazare/tch-rs"
keywords = ["pytorch", "deep-learning", "machine-learning"]
categories = ["science"]
license = "MIT/Apache-2.0"
readme = "README.md"

exclude = [
    "examples/stable-diffusion/media/*",
]

[dependencies]
lazy_static = "1.3.0"
libc = "0.2.0"
ndarray = "0.15"
rand = "0.8"
thiserror = "1"
torch-sys = { version = "0.18.1", path = "torch-sys" }
zip = "0.6"
half = "2"
safetensors = "0.3.0"

cpython = { version = "0.7.1", optional = true }
regex = { version = "1.6.0", optional = true }
image = { version = "0.24.5", optional = true }
clap = { version = "4.2.4", features = ["derive"], optional = true }
serde_json = { version = "1.0.96", optional = true }
memmap2 = { version = "0.6.1", optional = true }

[dev-dependencies]
anyhow = "^1.0.60"

[workspace]
members = [
  "torch-sys",
  "pyo3-tch",
  "examples/python-extension",
]

[features]
download-libtorch = ["torch-sys/download-libtorch"]
python-extension = ["torch-sys/python-extension"]
rl-python = ["cpython"]
doc-only = ["torch-sys/doc-only"]
cuda-tests = []

[package.metadata.docs.rs]
features = [ "doc-only" ]

[[example]]
name = "reinforcement-learning"
required-features = ["rl-python"]

[[example]]
name = "stable-diffusion"
required-features = ["regex"]

[[example]]
name = "llama"
required-features = ["regex", "clap", "serde_json", "memmap2"]