grenade-0.1.0: grenade.cabal
name: grenade
version: 0.1.0
license: BSD2
license-file: LICENSE
author: Huw Campbell <huw.campbell@gmail.com>
maintainer: Huw Campbell <huw.campbell@gmail.com>
copyright: (c) 2016-2017 Huw Campbell.
synopsis: Practical Deep Learning in Haskell
category: AI, Machine Learning
cabal-version: >= 1.8
build-type: Simple
description:
Grenade is a composable, dependently typed, practical, and fast
recurrent neural network library for precise specifications and
complex deep neural networks in Haskell.
.
Grenade provides an API for composing layers of a neural network
into a sequence parallel graph in a type safe manner; running
networks with reverse automatic differentiation to calculate their
gradients; and applying gradient decent for learning.
.
Documentation and examples are available on github
<https://github.com/HuwCampbell/grenade>.
extra-source-files:
README.md
cbits/im2col.h
cbits/im2col.c
cbits/gradient_decent.h
cbits/gradient_decent.c
cbits/pad.h
cbits/pad.c
source-repository head
type: git
location: https://github.com/HuwCampbell/grenade.git
library
build-depends:
base >= 4.8 && < 5
, bytestring == 0.10.*
, containers >= 0.5 && < 0.6
, cereal >= 0.5 && < 0.6
, deepseq >= 1.4 && < 1.5
, exceptions == 0.8.*
, hmatrix == 0.18.*
, MonadRandom >= 0.4 && < 0.6
, mtl >= 2.2.1 && < 2.3
, primitive >= 0.6 && < 0.7
, text == 1.2.*
, singletons >= 2.1 && < 2.3
, vector >= 0.11 && < 0.13
ghc-options:
-Wall
hs-source-dirs:
src
if impl(ghc < 8.0)
ghc-options: -fno-warn-incomplete-patterns
exposed-modules:
Grenade
Grenade.Core
Grenade.Core.Layer
Grenade.Core.LearningParameters
Grenade.Core.Network
Grenade.Core.Runner
Grenade.Core.Shape
Grenade.Layers
Grenade.Layers.Concat
Grenade.Layers.Convolution
Grenade.Layers.Crop
Grenade.Layers.Deconvolution
Grenade.Layers.Dropout
Grenade.Layers.Elu
Grenade.Layers.FullyConnected
Grenade.Layers.Inception
Grenade.Layers.Logit
Grenade.Layers.Merge
Grenade.Layers.Pad
Grenade.Layers.Pooling
Grenade.Layers.Relu
Grenade.Layers.Reshape
Grenade.Layers.Softmax
Grenade.Layers.Tanh
Grenade.Layers.Trivial
Grenade.Layers.Internal.Convolution
Grenade.Layers.Internal.Pad
Grenade.Layers.Internal.Pooling
Grenade.Layers.Internal.Update
Grenade.Recurrent
Grenade.Recurrent.Core
Grenade.Recurrent.Core.Layer
Grenade.Recurrent.Core.Network
Grenade.Recurrent.Core.Runner
Grenade.Recurrent.Layers
Grenade.Recurrent.Layers.BasicRecurrent
Grenade.Recurrent.Layers.LSTM
Grenade.Utils.OneHot
includes: cbits/im2col.h
cbits/gradient_decent.h
cbits/pad.h
c-sources: cbits/im2col.c
cbits/gradient_decent.c
cbits/pad.c
cc-options: -std=c99 -O3 -msse4.2 -Wall -Werror -DCABAL=1
test-suite test
type: exitcode-stdio-1.0
main-is: test.hs
ghc-options: -Wall -threaded -O2
hs-source-dirs:
test
other-modules: Test.Hedgehog.Compat
Test.Hedgehog.Hmatrix
Test.Hedgehog.TypeLits
Test.Grenade.Network
Test.Grenade.Layers.Convolution
Test.Grenade.Layers.FullyConnected
Test.Grenade.Layers.Nonlinear
Test.Grenade.Layers.PadCrop
Test.Grenade.Layers.Pooling
Test.Grenade.Layers.Internal.Convolution
Test.Grenade.Layers.Internal.Pooling
Test.Grenade.Layers.Internal.Reference
Test.Grenade.Recurrent.Layers.LSTM
Test.Grenade.Recurrent.Layers.LSTM.Reference
if impl(ghc < 8.0)
ghc-options: -fno-warn-incomplete-patterns
build-depends:
base >= 4.8 && < 5
, grenade
, hedgehog >= 0.1 && < 0.2
, hmatrix
, mtl
, singletons
, text == 1.2.*
, typelits-witnesses
, transformers
, constraints
, MonadRandom
, random
, ad
, reflection
, vector
benchmark bench
type: exitcode-stdio-1.0
main-is: bench.hs
ghc-options: -Wall -threaded -O2
hs-source-dirs:
bench
build-depends:
base >= 3 && < 5
, bytestring == 0.10.*
, criterion == 1.1.*
, grenade
, hmatrix
benchmark bench-lstm
type: exitcode-stdio-1.0
main-is: bench-lstm.hs
ghc-options: -Wall -threaded -O2
hs-source-dirs:
bench
build-depends:
base >= 3 && < 5
, bytestring == 0.10.*
, criterion == 1.1.*
, grenade
, hmatrix