tensorflow-haskell/tensorflow-opgen/tensorflow-opgen.cabal

name:                tensorflow-opgen
version:             0.1.0.0
synopsis:            Code generation for TensorFlow operations.
description:         Please see README.md
homepage:            https://github.com/tensorflow/haskell#readme
license:             Apache
license-file:        LICENSE
author:              TensorFlow authors
maintainer:          tensorflow-haskell@googlegroups.com
copyright:           Google Inc.
category:            Machine Learning
build-type:          Simple
cabal-version:       >=1.22

library
  hs-source-dirs:      src
  exposed-modules:     TensorFlow.OpGen.ParsedOp
                     , TensorFlow.OpGen
  build-depends:  proto-lens == 0.2.*
                , tensorflow-proto == 0.1.*
                , base >= 4.7 && < 5
                , bytestring
                , containers
                , filepath
                , lens-family
                , mainland-pretty
                , optparse-applicative
                , semigroups
                , text
  default-language:    Haskell2010

source-repository head
  type:     git
  location: https://github.com/tensorflow/haskell
Initial commit 2016-10-24 21:26:42 +02:00			`name: tensorflow-opgen`
			`version: 0.1.0.0`
			`synopsis: Code generation for TensorFlow operations.`
			`description: Please see README.md`
			`homepage: https://github.com/tensorflow/haskell#readme`
			`license: Apache`
Fix .cabal files so 'stack check' passes. (#110) - Add LICENSE files for all packages. - Add descriptions for packages that were missing one. - Work around google/proto-lens#69 by symlinking third_party into tensorflow-proto. 2017-05-10 20:37:00 +02:00			`license-file: LICENSE`
Initial commit 2016-10-24 21:26:42 +02:00			`author: TensorFlow authors`
			`maintainer: tensorflow-haskell@googlegroups.com`
			`copyright: Google Inc.`
			`category: Machine Learning`
			`build-type: Simple`
			`cabal-version: >=1.22`

			`library`
			`hs-source-dirs: src`
Refactor OpGen. (#36) Also fixes op lists when the same attribute specifies the length of both an input and an output. I added a test of "shapeN" which previously failed with the following error: ERROR: Ran out of counts in toResult. Likely misuse of buildListOp. 2016-11-20 19:00:22 +01:00			`exposed-modules: TensorFlow.OpGen.ParsedOp`
Initial commit 2016-10-24 21:26:42 +02:00			`, TensorFlow.OpGen`
Adapt to lts-8.6 and use proto-lens-0.2.0.1 (#97) 2017-04-11 23:09:01 +02:00			`build-depends: proto-lens == 0.2.*`
Initial commit 2016-10-24 21:26:42 +02:00			`, tensorflow-proto == 0.1.*`
			`, base >= 4.7 && < 5`
			`, bytestring`
			`, containers`
			`, filepath`
			`, lens-family`
			`, mainland-pretty`
			`, optparse-applicative`
			`, semigroups`
			`, text`
			`default-language: Haskell2010`

			`source-repository head`
			`type: git`
			`location: https://github.com/tensorflow/haskell`