Files
candle/candle-core/Cargo.toml
Laurent Mazare e29c7809ec Parallelise the CPU kernels for the conv ops. (#401)
* Parallelise the conv2d op.

* Tighter control on threading.

* Also parallelise conv1d.

* Add some safety comment.
2023-08-11 05:51:58 +01:00

41 lines
1.1 KiB
TOML

[package]
name = "candle-core"
version.workspace = true
edition.workspace = true
description.workspace = true
repository.workspace = true
keywords.workspace = true
categories.workspace = true
license.workspace = true
readme = "README.md"
[dependencies]
accelerate-src = { workspace = true, optional = true }
byteorder = { workspace = true }
candle-kernels = { path = "../candle-kernels", version = "0.1.0", optional = true }
cudarc = { workspace = true, optional = true }
gemm = { workspace = true }
ggblas = { workspace = true }
half = { workspace = true }
intel-mkl-src = { workspace = true, optional = true }
libc = { workspace = true, optional = true }
memmap2 = { workspace = true }
num-traits = { workspace = true }
num_cpus = { workspace = true }
rand = { workspace = true }
rand_distr = { workspace = true }
rayon = { workspace = true }
safetensors = { workspace = true }
thiserror = { workspace = true }
zip = { workspace = true }
[dev-dependencies]
anyhow = { workspace = true }
clap = { workspace = true }
[features]
default = []
cuda = ["dep:cudarc", "dep:candle-kernels"]
mkl = ["dep:libc", "dep:intel-mkl-src"]
accelerate = ["dep:libc", "dep:accelerate-src"]