Cargo.toml

[workspace]
members = [
    "candle-core",
    "candle-datasets",
    "candle-examples",
    "candle-book",
    "candle-nn",
    "candle-pyo3",
    "candle-transformers",
    "candle-wasm-examples/llama2-c",
    "candle-wasm-examples/segment-anything",
    "candle-wasm-examples/whisper",
    "candle-wasm-examples/yolo",
]
exclude = [
    "candle-flash-attn",
    "candle-kernels",
]
resolver = "2"

[workspace.package]
version = "0.2.2"
edition = "2021"
description = "Minimalist ML framework."
repository = "https://github.com/huggingface/candle"
keywords = ["blas", "tensor", "machine-learning"]
categories = ["science"]
license = "MIT OR Apache-2.0"

[workspace.dependencies]
accelerate-src = { version = "0.3.2" }
anyhow = { version = "1", features = ["backtrace"] }
byteorder = "1.4.3"
clap = { version = "4.2.4", features = ["derive"] }
cudarc = { version = "0.9.14", features = ["f16"] }
# TODO: Switch back to the official gemm implementation once it has caught up.
gemm = { version = "0.15.6", package = "candle-gemm" }
hf-hub = "0.3.0"
half = { version = "2.3.1", features = ["num-traits", "use-intrinsics", "rand_distr"] }
image = { version = "0.24.7", default-features = false, features = ["jpeg", "png"] }
imageproc = { version = "0.23.0", default-features = false }
intel-mkl-src = { version = "0.8.1", features = ["mkl-static-lp64-iomp"] }
libc = { version = "0.2.147" }
log = "0.4"
memmap2 = "0.7.1"
num_cpus = "1.15.0"
num-traits = "0.2.15"
rand = "0.8.5"
rand_distr = "0.4.3"
rayon = "1.7.0"
rusttype = { version = "0.9", default-features = false }
safetensors = "0.3.1"
serde = { version = "1.0.171", features = ["derive"] }
serde_json = "1.0.99"
thiserror = "1"
tokenizers = { version = "0.13.4", default-features = false }
tracing = "0.1.37"
tracing-chrome = "0.7.1"
tracing-subscriber = "0.3.7"
wav = "1.0.0"
zip = { version = "0.6.6", default-features = false }
parquet = { version = "45.0.0" }

[profile.release-with-debug]
inherits = "release"
debug = true