content: [package]
  name = "alumina"
  version = "0.3.0"
  authors = ["J. Millard <millard.jn@gmail.com>"]
  description = "An Experimental Deep Learning Library"
  repository = "https://github.com/millardjn/alumina"
  edition = "2021"
  
  [workspace]
  
  members = [
  	
  	"alumina_core",
  	"alumina_ops",
  	"alumina_data",
  	"alumina_opt",
  	
  	"alumina_test",
  	
  	"alumina_image_data",
  ]
  
  [dependencies]
  alumina_core = { path = "./alumina_core", version = "0.3" }
  alumina_ops = { path = "./alumina_ops", version = "0.3" }
  alumina_data = { path = "./alumina_data", version = "0.3" }
  alumina_opt = { path = "./alumina_opt", version = "0.3" }
  alumina_test = { path = "./alumina_test", version = "0.3" }
  alumina_image_data = { path = "./alumina_image_data", version = "0.3" }
  
  
  failure = "0.1"
  indexmap = {version = "1", features = ["rayon", "serde-1"]}
  ndarray = { version = "0.15", features = ["rayon", "serde-1"] }
  
  rand = "0.8"
  rand_distr = "0.4"
  smallvec = "1.4"
  itertools = "0.10"
  lru = "0.8"
  rayon = "1.5"
  num-traits = "0.2"
  byteorder = "1.3"
  typenum = "1.12"
  matrixmultiply_mt = "0.2"
  lazy_static = "1.4"
  unchecked-index ="0.2"
  num_cpus = "1.13"
  threadpool = "1.8"
  threadpool_scope = "0.1.0"
  rand_pcg = "0.3"
  libm = "0.2"
  
  parking_lot = "0.12"
  
  [profile.release]
  
  
  [features]
  cblas = ["alumina_ops/cblas"]
  
  [dev-dependencies]
  criterion = "0.3"
  blis-src = "0.2"
  
  [[bench]]
  name = "elementwise"
  harness = false
  
  
  