[package]
edition = "2024"
name = "deep-delta-learn"
version = "0.1.0"
authors = ["Lorenzo <tunedconsulting@gmail.com>"]
build = false
exclude = [
"target/*",
"Cargo.lock",
".git/*",
".github/*",
"*.tmp",
"*.md",
"*.bib",
"*.cff",
"test_data/*",
"examples/*",
]
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "An implementation of Deeep Delta Learning as in 2601.00417"
homepage = "https://github.com/tuned-org-uk/deep-delta-learn"
documentation = "https://docs.rs/deep-delta-learn"
readme = "README.md"
keywords = [
"resnet",
"gpt",
"llm",
]
categories = [
"algorithms",
"mathematics",
"science",
]
license = "Apache-2.0"
repository = "https://github.com/tuned-org-uk/deep-delta-learn"
[features]
all-backends = [
"cpu",
"wgpu",
"cuda",
]
cpu = [
"burn-ndarray",
"ndarray",
]
cuda = ["burn-cuda"]
default = ["cpu"]
wgpu = ["burn-wgpu"]
[lib]
name = "deep_delta_learn"
crate-type = ["rlib"]
path = "src/lib.rs"
[[bin]]
name = "deep-delta"
path = "src/main.rs"
[dependencies.anyhow]
version = "1.0"
[dependencies.burn]
version = "0.18.0"
features = [
"std",
"train",
]
default-features = false
[dependencies.burn-cuda]
version = "0.18.0"
optional = true
[dependencies.burn-ndarray]
version = "0.18.0"
optional = true
[dependencies.burn-wgpu]
version = "0.18.0"
optional = true
[dependencies.env_logger]
version = "0.11.8"
[dependencies.log]
version = "0.4.28"
[dependencies.ndarray]
version = "0.16.1"
optional = true
[dependencies.serde]
version = "1.0"
features = ["derive"]
[dependencies.serde_json]
version = "1.0"
[dev-dependencies.approx]
version = "0.5.1"
[profile.dev]
opt-level = 1
[profile.release]
opt-level = 3
lto = "thin"
codegen-units = 1
strip = true