Add cabal files and CI setup for TFRecords.

ci_build/Dockerfile

@@ -18,6 +18,8 @@ RUN \
     echo 'deb http://download.fpcomplete.com/ubuntu trusty main'| tee /etc/apt/sources.list.d/fpco.list && \
     apt-get update && \
     apt-get install -y \
+        # Required by snappy-frames dependency.
+        libsnappy-dev \
         # Avoids /usr/bin/ld: cannot find -ltinfo
         libncurses5-dev \
         # Makes stack viable in the container

docker/Dockerfile

@@ -6,6 +6,8 @@ MAINTAINER TensorFlow authors <tensorflow-haskell@googlegroups.com>
 RUN apt-get update
 
 RUN apt-get install -y \
+        # Required by snappy-frames dependency.
+        libsnappy-dev \
         # Avoids /usr/bin/ld: cannot find -ltinfo
         libncurses5-dev \
         # Makes stack viable in the container

stack.yaml

@@ -11,12 +11,16 @@ packages:
 - tensorflow-mnist-input-data
 - tensorflow-queue
 - tensorflow-nn
+- tensorflow-records
+- tensorflow-records-conduit
 - tensorflow-test
 
 extra-deps:
 # proto-lens is not yet in Stackage.
 - proto-lens-0.1.0.4
 - proto-lens-protoc-0.1.0.4
+- snappy-framing-0.1.1
+- snappy-0.2.0.2
 
 # Allow our custom Setup.hs scripts to import Data.ProtoLens.Setup from the version of
 # `proto-lens-protoc` in stack's local DB.  See:

tensorflow-records-conduit/Setup.hs

@@ -0,0 +1,3 @@
+import Distribution.Simple
+
+main = defaultMain

tensorflow-records-conduit/tensorflow-records-conduit.cabal

@@ -0,0 +1,28 @@
+name:                tensorflow-records-conduit
+version:             0.1.0.0
+synopsis:            Conduit wrappers for TensorFlow.Records.
+homepage:            https://github.com/tensorflow/haskell#readme
+license:             Apache
+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.Records.Conduit
+  build-depends: base >= 4.7 && < 5
+               , bytestring
+               , cereal-conduit
+               , conduit
+               , conduit-extra
+               , exceptions
+               , resourcet
+               , tensorflow-records
+  default-language:    Haskell2010
+
+source-repository head
+  type:     git
+  location: https://github.com/tensorflow/haskell

tensorflow-records/Setup.hs

@@ -0,0 +1,3 @@
+import Distribution.Simple
+
+main = defaultMain

tensorflow-records/tensorflow-records.cabal

@@ -0,0 +1,40 @@
+name:                tensorflow-records
+version:             0.1.0.0
+synopsis:            Encoder and decoder for the TensorFlow \"TFRecords\" format.
+homepage:            https://github.com/tensorflow/haskell#readme
+license:             Apache
+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.Records
+  other-modules:    TensorFlow.CRC32C
+  build-depends: base >= 4.7 && < 5
+               , bytestring
+               , cereal
+               -- TODO: Split Data.Digest.CRC32C out of snappy-framing for a
+               -- lighter dependency?
+               , snappy-framing
+  default-language:    Haskell2010
+
+Test-Suite RecordsTest
+  default-language: Haskell2010
+  type: exitcode-stdio-1.0
+  main-is: Main.hs
+  hs-source-dirs: tests
+  build-depends: base
+               , bytestring
+               , cereal
+               , tensorflow-records
+               , test-framework
+               , test-framework-quickcheck2
+
+
+source-repository head
+  type:     git
+  location: https://github.com/tensorflow/haskell