[dependencies.burn-tensor-testgen]
optional = true
version = "0.5.0"
[dependencies.derive-new]
version = "0.5.9"
[dependencies.half]
features = ["num-traits"]
version = "1.6.0"
[dependencies.nanoid]
version = "0.4.0"
[dependencies.num-traits]
version = "0.2.15"
[dependencies.rand]
version = "0.8.5"
[dependencies.serde]
features = ["derive"]
version = "1.0.151"
[dependencies.statrs]
version = "0.16.0"
[features]
default = []
experimental-named-tensor = []
export_tests = ["burn-tensor-testgen"]
[package]
authors = ["nathanielsimard <nathaniel.simard.42@gmail.com>"]
categories = ["science"]
description = "This library provides multiple tensor implementations hidden behind\nan easy to use API that supports reverse mode automatic differentiation.\n"
edition = "2021"
keywords = ["deep-learning", "machine-learning", "tensor", "pytorch", "ndarray"]
license = "MIT/Apache-2.0"
name = "burn-tensor"
readme = "README.md"
repository = "https://github.com/burn-rs/burn/tree/main/burn-tensor"
resolver = "1"
version = "0.5.0"