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typedflow.cabal
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cabal-version: 1.12
-- This file has been generated from package.yaml by hpack version 0.31.1.
--
-- see: https://github.com/sol/hpack
--
-- hash: 3067b5d1a606def05aebd6e66de171e0a65852fc22b64da5d2de818550e1fca4
name: typedflow
version: 0.9
synopsis: Typed frontend to TensorFlow and higher-order deep learning
description: TypedFlow is a typed, higher-order frontend to TensorFlow and a high-level library for deep-learning.
.
The main design principles are:
.
- To make the parameters of layers explicit. This choice makes sharing of parameters explicit and allows to implement "layers" as pure functions.
.
- To provide as precise as possible types. Functions are explicit about the shapes and elements of the tensors that they manipulate (they are often polymorphic in shapes and elements though.)
.
- To let combinators be as transparent as possible. If a NN layers is a simple tensor transformation it will be exposed as such.
category: Deep Learning
author: Jean-Philippe Bernardy
maintainer: [email protected]
license: LGPL-3
license-file: LICENSE
build-type: Simple
source-repository head
type: git
location: [email protected]:GU-CLASP/TypedFlow.git
flag tensorflow
manual: False
default: False
library
exposed-modules:
TypedFlow
TypedFlow.Layers
TypedFlow.Layers.Core
TypedFlow.Layers.RNN
TypedFlow.Layers.RNN.Base
TypedFlow.Layers.RNN.Cells
TypedFlow.Layers.RNN.Attention
TypedFlow.Learn
TypedFlow.Models.Topic
TypedFlow.Python
TypedFlow.TF
TypedFlow.Types
TypedFlow.Types.Proofs
other-modules:
TypedFlow.Abstract
TypedFlow.Memo
Paths_typedflow
hs-source-dirs:
src
build-depends:
base ==4.*
, bytestring
, containers
, file-embed
, ghc-typelits-knownnat
, mtl
, pretty-compact
if flag(tensorflow)
build-depends:
tensorflow
if flag(tensorflow)
exposed-modules:
TypedFlow.Haskell
default-language: Haskell2010
test-suite typedflow-spec
type: exitcode-stdio-1.0
main-is: Spec.hs
other-modules:
Integration.Helpers
Integration.PythonSpec
Paths_typedflow
hs-source-dirs:
spec
build-depends:
base ==4.*
, bytestring
, containers
, file-embed
, ghc-typelits-knownnat
, mtl
, neat-interpolation
, pretty-compact
, process
, tasty
, tasty-discover
, tasty-golden
, tasty-hspec
, tasty-smallcheck
, template-haskell
, text
, typedflow
if flag(tensorflow)
build-depends:
tensorflow
default-language: Haskell2010