mirror of
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201 lines
6.8 KiB
Plaintext
201 lines
6.8 KiB
Plaintext
name: grenade
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version: 0.1.0
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license: BSD2
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license-file: LICENSE
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author: Huw Campbell <huw.campbell@gmail.com>
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maintainer: Huw Campbell <huw.campbell@gmail.com>
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copyright: (c) 2016-2017 Huw Campbell.
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synopsis: Practical Deep Learning in Haskell
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category: AI, Machine Learning
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cabal-version: >= 1.8
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build-type: Simple
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description:
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Grenade is a composable, dependently typed, practical, and fast
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recurrent neural network library for precise specifications and
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complex deep neural networks in Haskell.
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.
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Grenade provides an API for composing layers of a neural network
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into a sequence parallel graph in a type safe manner; running
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networks with reverse automatic differentiation to calculate their
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gradients; and applying gradient descent for learning.
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.
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Documentation and examples are available on github
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<https://github.com/HuwCampbell/grenade>.
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extra-source-files:
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README.md
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cbits/im2col.h
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cbits/im2col.c
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cbits/gradient_descent.h
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cbits/gradient_descent.c
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cbits/pad.h
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cbits/pad.c
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source-repository head
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type: git
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location: https://github.com/HuwCampbell/grenade.git
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library
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build-depends:
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base >= 4.8 && < 5
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, bytestring == 0.10.*
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, containers >= 0.5 && < 0.7
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, cereal >= 0.5 && < 0.6
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, deepseq >= 1.4 && < 1.5
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, hmatrix >= 0.18 && < 0.20
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, MonadRandom >= 0.4 && < 0.6
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, primitive >= 0.6 && < 0.7
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-- Versions of singletons are *tightly* coupled with the
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-- GHC version so its fine to drop version bounds.
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, singletons
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, vector >= 0.11 && < 0.13
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ghc-options:
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-Wall
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hs-source-dirs:
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src
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if impl(ghc < 8.0)
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ghc-options: -fno-warn-incomplete-patterns
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exposed-modules:
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Grenade
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Grenade.Core
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Grenade.Core.Layer
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Grenade.Core.LearningParameters
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Grenade.Core.Network
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Grenade.Core.Runner
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Grenade.Core.Shape
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Grenade.Layers
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Grenade.Layers.Concat
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Grenade.Layers.Convolution
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Grenade.Layers.Crop
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Grenade.Layers.Deconvolution
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Grenade.Layers.Dropout
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Grenade.Layers.Elu
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Grenade.Layers.FullyConnected
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Grenade.Layers.Inception
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Grenade.Layers.Logit
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Grenade.Layers.Merge
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Grenade.Layers.Pad
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Grenade.Layers.Pooling
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Grenade.Layers.Relu
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Grenade.Layers.Reshape
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Grenade.Layers.Sinusoid
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Grenade.Layers.Softmax
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Grenade.Layers.Tanh
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Grenade.Layers.Trivial
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Grenade.Layers.Internal.Convolution
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Grenade.Layers.Internal.Pad
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Grenade.Layers.Internal.Pooling
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Grenade.Layers.Internal.Update
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Grenade.Recurrent
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Grenade.Recurrent.Core
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Grenade.Recurrent.Core.Layer
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Grenade.Recurrent.Core.Network
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Grenade.Recurrent.Core.Runner
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Grenade.Recurrent.Layers
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Grenade.Recurrent.Layers.BasicRecurrent
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Grenade.Recurrent.Layers.ConcatRecurrent
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Grenade.Recurrent.Layers.LSTM
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Grenade.Utils.OneHot
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includes: cbits/im2col.h
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cbits/gradient_descent.h
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cbits/pad.h
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c-sources: cbits/im2col.c
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cbits/gradient_descent.c
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cbits/pad.c
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cc-options: -std=c99 -O3 -msse4.2 -Wall -Werror -DCABAL=1
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test-suite test
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type: exitcode-stdio-1.0
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main-is: test.hs
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ghc-options: -Wall -threaded -O2
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hs-source-dirs:
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test
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other-modules: Test.Hedgehog.Compat
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Test.Hedgehog.Hmatrix
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Test.Hedgehog.TypeLits
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Test.Grenade.Network
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Test.Grenade.Layers.Convolution
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Test.Grenade.Layers.FullyConnected
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Test.Grenade.Layers.Nonlinear
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Test.Grenade.Layers.PadCrop
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Test.Grenade.Layers.Pooling
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Test.Grenade.Layers.Internal.Convolution
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Test.Grenade.Layers.Internal.Pooling
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Test.Grenade.Layers.Internal.Reference
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Test.Grenade.Recurrent.Layers.LSTM
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Test.Grenade.Recurrent.Layers.LSTM.Reference
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if impl(ghc < 8.0)
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ghc-options: -fno-warn-incomplete-patterns
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build-depends:
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base
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, grenade
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, hedgehog >= 0.5 && < 0.7
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, hmatrix
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, mtl
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, singletons
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, text == 1.2.*
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, typelits-witnesses
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, transformers
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, constraints
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, MonadRandom
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, random
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, ad
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, reflection
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, vector
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benchmark bench
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type: exitcode-stdio-1.0
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main-is: bench.hs
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ghc-options: -Wall -threaded -O2
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hs-source-dirs:
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bench
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build-depends:
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base
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, bytestring
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, criterion >= 1.1 && < 1.5
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, grenade
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, hmatrix
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benchmark bench-lstm
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type: exitcode-stdio-1.0
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main-is: bench-lstm.hs
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ghc-options: -Wall -threaded -O2
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hs-source-dirs:
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bench
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build-depends:
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base
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, bytestring
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, criterion
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, grenade
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, hmatrix
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