[dependencies.burn-common]
default-features = false
version = "0.12.1"
[dependencies.burn-tensor-testgen]
optional = true
version = "0.12.1"
[dependencies.derive-new]
default-features = false
version = "0.6.0"
[dependencies.half]
default-features = false
features = ["alloc", "num-traits", "serde"]
version = "2.3.1"
[dependencies.hashbrown]
version = "0.14.2"
[dependencies.libm]
version = "0.2.8"
[dependencies.num-traits]
default-features = false
features = ["libm"]
version = "0.2.17"
[dependencies.rand]
default-features = false
features = ["std_rng"]
version = "0.8.5"
[dependencies.rand_distr]
default-features = false
version = "0.4.3"
[dependencies.serde]
default-features = false
features = ["derive", "alloc"]
version = "1.0.192"
[dev-dependencies.rand]
default-features = false
features = ["std_rng", "std", "std_rng"]
version = "0.8.5"
[features]
default = ["std"]
doc = ["default"]
experimental-named-tensor = []
export_tests = ["burn-tensor-testgen"]
std = ["rand/std", "half/std"]
wasm-sync = []
[package]
authors = ["nathanielsimard <nathaniel.simard.42@gmail.com>"]
categories = ["science", "no-std", "embedded", "wasm"]
description = "Tensor library with user-friendly APIs and automatic differentiation support"
edition = "2021"
keywords = ["deep-learning", "machine-learning", "tensor", "pytorch", "ndarray"]
license = "MIT OR Apache-2.0"
name = "burn-tensor"
readme = "README.md"
repository = "https://github.com/tracel-ai/burn/tree/main/burn-tensor"
version = "0.12.1"
[package.metadata.docs.rs]
features = ["doc"]