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[package]
edition = "2018"
name = "autograd"
version = "2.0.0-rc3"
authors = ["raskr <janne.dc.ib.sa@gmail.com>"]
description = "Tensors and differentiable operations in Rust"
documentation = "https://docs.rs/autograd/"
readme = "README.md"
keywords = ["numerics", "machine-learning", "ndarray", "multidimensional", "neural-network"]
license-file = "LICENSE"
repository = "https://github.com/raskr/rust-autograd"

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

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

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

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

[[example]]
name = "sine"
path = "examples/sine.rs"
[dependencies.approx]
version = "0.4.0"

[dependencies.blas-src]
version = "0.8"
optional = true
default-features = false

[dependencies.cblas-sys]
version = "0.1.4"
optional = true
default-features = false

[dependencies.intel-mkl-src]
version = "0.5"
optional = true
default-features = false

[dependencies.libc]
version = "0.2"

[dependencies.matrixmultiply]
version = "0.2.2"

[dependencies.ndarray]
version = "0.14.0"
features = ["serde", "approx"]

[dependencies.num]
version = "0.3"

[dependencies.num-traits]
version = "0.2"

[dependencies.rand]
version = "0.8.0"

[dependencies.rand_distr]
version = "0.4.0"

[dependencies.rand_xorshift]
version = "0.3.0"

[dependencies.rayon]
version = "1.0"

[dependencies.rustc-hash]
version = "1.0.1"

[dependencies.serde]
version = "1.0.120"

[dependencies.serde_derive]
version = "1.0.120"

[dependencies.serde_json]
version = "1.0"

[dependencies.smallvec]
version = "1.2.0"

[dependencies.special]
version = "0.8.1"

[dependencies.uuid]
version = "0.8"
features = ["v4"]

[features]
accelerate = ["blas-src/accelerate", "cblas-sys"]
blas = []
intel-mkl = ["intel-mkl-src", "cblas-sys"]
openblas = ["blas-src/openblas", "cblas-sys"]