cabal-version: 2.2 name: fei-nn version: 1.0.0 synopsis: Train a neural network with MXNet in Haskell. description: High level APIs to rain a neural network with MXNet in Haskell. homepage: http://github.com/pierric/fei-nn license: BSD-3-Clause license-file: LICENSE author: Jiasen Wu maintainer: jiasenwu@hotmail.com copyright: Copyright: (c) 2020 Jiasen Wu category: Machine Learning, AI build-type: Simple Flag mxnet_geq_10600 { Description: MXNet >= 1.6.0 Default: False } Flag neptune { Description: Integrate Neptune Default: False } Library exposed-modules: MXNet.NN MXNet.NN.Types MXNet.NN.Session MXNet.NN.Utils MXNet.NN.Utils.GraphViz MXNet.NN.Utils.Repa MXNet.NN.Utils.Render MXNet.NN.Layer MXNet.NN.Optimizer MXNet.NN.LrScheduler MXNet.NN.EvalMetric MXNet.NN.Initializer MXNet.NN.Callback MXNet.NN.TaggedState MXNet.NN.Module MXNet.NN.DataIter.Class MXNet.NN.DataIter.Vec MXNet.NN.DataIter.Streaming MXNet.NN.DataIter.Conduit MXNet.NN.DataIter.ConduitAsync other-modules: hs-source-dirs: src ghc-options: -Wall default-language: Haskell2010 default-extensions: GADTs, TypeFamilies, TypeOperators, OverloadedLabels, OverloadedStrings, FlexibleContexts, FlexibleInstances, LambdaCase, MultiWayIf, DoAndIfThenElse, TypeApplications, DataKinds, RecordWildCards, ExplicitForAll, ExistentialQuantification, NoImplicitPrelude if impl(ghc >= 8.6) default-extensions: NoMonadFailDesugaring build-depends: base >= 4.7 && < 5.0 , resourcet >= 1.1.8 , lens >= 4.12 , transformers-base >= 0.4.4 , aeson >= 1.2 , containers >= 0.5 , template-haskell >= 2.12 , graphviz , time < 2.0 , type-combinators , streaming >= 0.1.4.5 , conduit >= 1.2 && < 1.4 , conduit-combinators >= 1.1.2 && < 1.4 , stm-conduit , formatting , wl-pprint-text , repa , Rasterific , JuicyPixels , FontyFruity , rio , uuid , fei-base if flag(mxnet_geq_10600) { cpp-options: -DMXNET_GEQ_10600 } if flag(neptune) { cpp-options: -DNEPTUNE build-depends: neptune-backend < 0.2 }