briny_ai 0.2.2

Minimal, secure autodiff + tensor engine with serialization
Documentation 
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[dependencies.briny]
version = "0.2.0"

[dependencies.lazy_static]
default-features = false
optional = true
version = "1.5.0"

[dependencies.pollster]
default-features = false
optional = true
version = "0.4.0"

[dependencies.rayon]
default-features = false
version = "=1.10.0"

[dependencies.wgpu]
optional = true
version = "26.0.1"

[dev-dependencies.flate2]
version = "1"

[dev-dependencies.rand]
version = "0.9.1"

[dev-dependencies.reqwest]
default-features = false
features = ["blocking"]
version = "0.12"

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

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

[features]
cuda = ["dep:wgpu", "dep:pollster", "dep:lazy_static"]
default = []
simd = []
wgpu = ["dep:wgpu", "dep:pollster", "dep:lazy_static"]

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

[package]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
categories = ["science", "mathematics", "data-structures"]
description = "Minimal, secure autodiff + tensor engine with serialization"
documentation = "https://docs.rs/briny_ai"
edition = "2024"
keywords = ["autograd", "tensor", "machine-learning"]
license = "MIT"
name = "briny_ai"
readme = "README.md"
repository = "https://github.com/bobbothe2nd/briny_ai"
rust-version = "1.88.0"
version = "0.2.2"

[package.metadata.docs.rs]
all-features = true

[[test]]
name = "core"
path = "tests/core.rs"