name:                tensorflow-logging
version:             0.1.0.0
synopsis:            TensorBoard related functionality.
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.Logging
  build-depends:  base >= 4.7 && < 5
                , bytestring
                , conduit
                , data-default
                , directory
                , exceptions
                , filepath
                , hostname
                , lens-family
                , proto-lens == 0.2.*
                , resourcet
                , stm
                , stm-chans
                , stm-conduit
                , tensorflow == 0.1.*
                , tensorflow-core-ops == 0.1.*
                , tensorflow-ops == 0.1.*
                , tensorflow-proto == 0.1.*
                , tensorflow-records-conduit
                , text
                , time
                , transformers
  default-language:    Haskell2010

Test-Suite LoggingTest
  default-language: Haskell2010
  type: exitcode-stdio-1.0
  main-is: LoggingTest.hs
  hs-source-dirs: tests
  build-depends: HUnit
               , base
               , bytestring
               , conduit
               , data-default
               , directory
               , filepath
               , lens-family
               , proto-lens
               , resourcet
               , temporary
               , tensorflow
               , tensorflow-logging
               , tensorflow-proto
               , tensorflow-records-conduit
               , test-framework
               , test-framework-hunit
               , text

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