[dependencies.blas-src]
default-features = false
optional = true
version = "0.9.0"
[dependencies.burn-autodiff]
optional = true
version = "0.13.2"
[dependencies.burn-common]
default-features = false
version = "0.13.2"
[dependencies.burn-tensor]
default-features = false
version = "0.13.2"
[dependencies.derive-new]
default-features = false
version = "0.6.0"
[dependencies.libm]
version = "0.2.8"
[dependencies.matrixmultiply]
default-features = false
version = "0.3.8"
[dependencies.ndarray]
default-features = false
version = "0.15.6"
[dependencies.num-traits]
default-features = false
features = ["libm"]
version = "0.2.18"
[dependencies.openblas-src]
optional = true
version = "0.10.9"
[dependencies.rand]
default-features = false
features = ["std_rng"]
version = "0.8.5"
[dependencies.rayon]
optional = true
version = "1.10.0"
[dependencies.spin]
features = ["mutex", "spin_mutex"]
version = "0.9.8"
[dev-dependencies.burn-autodiff]
default-features = false
features = ["export_tests"]
version = "0.13.2"
[dev-dependencies.burn-tensor]
default-features = false
features = ["export_tests"]
version = "0.13.2"
[features]
blas-accelerate = ["blas-src/accelerate", "ndarray/blas"]
blas-netlib = ["blas-src/netlib", "ndarray/blas"]
blas-openblas = ["blas-src/openblas", "ndarray/blas", "openblas-src"]
blas-openblas-system = ["blas-src/openblas", "ndarray/blas", "openblas-src/system"]
default = ["std"]
doc = ["default"]
std = ["burn-autodiff", "burn-common/std", "burn-tensor/std", "matrixmultiply/std", "matrixmultiply/threading", "ndarray/rayon", "ndarray/std", "rand/std", "rayon", "num-traits/std"]
[package]
authors = ["nathanielsimard <nathaniel.simard.42@gmail.com>"]
categories = ["science", "no-std", "embedded", "wasm"]
description = "Ndarray backend for the Burn framework"
edition = "2021"
keywords = ["deep-learning", "machine-learning", "data"]
license = "MIT OR Apache-2.0"
name = "burn-ndarray"
readme = "README.md"
repository = "https://github.com/tracel-ai/burn/tree/main/burn-ndarray"
version = "0.13.2"
[package.metadata.docs.rs]
features = ["doc"]