volta 0.2.0

A PyTorch-like Machine Learning framework.
Documentation 
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[dependencies.approx]
version = "0.5.1"

[dependencies.bincode]
features = ["derive"]
version = "2.0.1"

[dependencies.bytemuck]
features = ["derive"]
optional = true
version = "1.24.0"

[dependencies.cblas-sys]
version = "0.3.0"

[dependencies.matrixmultiply]
version = "0.3.10"

[dependencies.pollster]
optional = true
version = "0.4.0"

[dependencies.rand]
version = "0.9.2"

[dependencies.rand_distr]
version = "0.5.1"

[dependencies.wgpu]
optional = true
version = "27.0.1"

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

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

[features]
accelerate = ["blas-src"]
default = []
gpu = ["wgpu", "pollster", "bytemuck"]

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

[package]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = "build.rs"
categories = ["science"]
description = "A PyTorch-like Machine Learning framework."
edition = "2024"
keywords = ["ml", "machine-learning", "autodiff", "tensor"]
license = "MIT"
name = "volta"
readme = "README.md"
repository = "https://github.com/rlarson20/Volta"
rust-version = "1.89.0"
version = "0.2.0"

[target.'cfg(target_os = "macos")'.dependencies.blas-src]
features = ["accelerate"]
optional = true
version = "0.14"

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

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