example = []
[dependencies.cpython]
optional = true
version = "0.2.0"
[dependencies.half]
version = "1.6"
[dependencies.lazy_static]
version = "1.3.0"
[dependencies.libc]
version = "0.2.0"
[dependencies.ndarray]
version = "0.15"
[dependencies.rand]
version = "0.8"
[dependencies.thiserror]
version = "1"
[dependencies.torch-sys]
version = "0.7.2"
[dependencies.zip]
version = "0.5"
[dev-dependencies.anyhow]
version = "1"
[features]
cuda-tests = []
default = ["torch-sys/download-libtorch"]
doc-only = ["torch-sys/doc-only"]
python = ["cpython"]
[package]
authors = ["Laurent Mazare <lmazare@gmail.com>"]
categories = ["science"]
description = "Rust wrappers for the PyTorch C++ api (libtorch)."
edition = "2018"
keywords = ["pytorch", "deep-learning", "machine-learning"]
license = "MIT/Apache-2.0"
name = "tch"
readme = "README.md"
repository = "https://github.com/LaurentMazare/tch-rs"
version = "0.7.2"
[package.metadata.docs.rs]
features = ["doc-only"]