[package]
name = "primitiv"
version = "0.3.0"
authors = ["Hiroki Teranishi <teranishihiroki@gmail.com>"]
description = "A Neural Network Toolkit."
keywords = ["deep-learning", "neural-networks", "machine-learning"]
license = "Apache-2.0"
repository = "https://github.com/primitiv/primitiv-rust"
readme = "README.md"

[dependencies]
backtrace = "0.3"
libc = "0.2"
primitiv-sys = { version = "0.3", path = "primitiv-sys" }

[dev-dependencies]
rand = "0.3"

[features]
eigen = ["primitiv-sys/eigen"]
cuda = ["primitiv-sys/cuda"]
opencl = ["primitiv-sys/opencl"]

[[example]]
name = "xor"
path = "examples/xor/xor.rs"

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

[[example]]
name = "ptb_rnnlm"
path = "examples/ptb/ptb_rnnlm.rs"

[[example]]
name = "encdec"
path = "examples/encdec/encdec.rs"