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Add tensorflow-records and tensorflow-records-conduit package

Original author: awpr@
This commit is contained in:
fkm3 2017-02-08 19:12:31 -08:00
parent 4b5a57152f
commit 7484214854
11 changed files with 372 additions and 0 deletions

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@ -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

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@ -15,6 +15,8 @@ RUN \
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

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@ -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:

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

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@ -0,0 +1,53 @@
-- Copyright 2016 TensorFlow authors.
--
-- Licensed under the Apache License, Version 2.0 (the "License");
-- you may not use this file except in compliance with the License.
-- You may obtain a copy of the License at
--
-- http://www.apache.org/licenses/LICENSE-2.0
--
-- Unless required by applicable law or agreed to in writing, software
-- distributed under the License is distributed on an "AS IS" BASIS,
-- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-- See the License for the specific language governing permissions and
-- limitations under the License.
-- | Conduit wrappers for TensorFlow.Records.
{-# LANGUAGE Rank2Types #-}
module TensorFlow.Records.Conduit
(
-- * Encode/Decode
encodeTFRecords
, decodeTFRecords
-- * Source/Sink
, sinkTFRecords
, sourceTFRecords
) where
import Control.Monad.Catch (MonadThrow)
import Control.Monad.Trans.Resource (MonadResource)
import qualified Data.ByteString as B
import qualified Data.ByteString.Lazy as BL
import Data.Conduit ((=$=), Conduit, Consumer, Producer)
import Data.Conduit.Binary (sinkFile, sourceFile)
import Data.Conduit.Cereal (conduitGet2, conduitPut)
import TensorFlow.Records (getTFRecord, putTFRecord)
-- | Decode TFRecords from a stream of bytes.
decodeTFRecords :: MonadThrow m => Conduit B.ByteString m BL.ByteString
decodeTFRecords = conduitGet2 getTFRecord
-- | Read TFRecords from a file.
sourceTFRecords :: (MonadResource m, MonadThrow m) => FilePath -> Producer m BL.ByteString
sourceTFRecords path = sourceFile path =$= decodeTFRecords
-- | Encode TFRecords to a stream of bytes.
encodeTFRecords :: Monad m => Conduit BL.ByteString m B.ByteString
encodeTFRecords = conduitPut putTFRecord
-- | Write TFRecords to a file.
sinkTFRecords :: (MonadResource m) => FilePath -> Consumer BL.ByteString m ()
sinkTFRecords path = encodeTFRecords =$= sinkFile path

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@ -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

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

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@ -0,0 +1,55 @@
-- Copyright 2016 TensorFlow authors.
--
-- Licensed under the Apache License, Version 2.0 (the "License");
-- you may not use this file except in compliance with the License.
-- You may obtain a copy of the License at
--
-- http://www.apache.org/licenses/LICENSE-2.0
--
-- Unless required by applicable law or agreed to in writing, software
-- distributed under the License is distributed on an "AS IS" BASIS,
-- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-- See the License for the specific language governing permissions and
-- limitations under the License.
-- | FFI wrappers of CRC32C digest. Import qualified.
module TensorFlow.CRC32C
( value, extend
, mask, unmask
, valueMasked
) where
import Data.Bits (rotateL, rotateR)
import qualified Data.ByteString as B
import qualified Data.ByteString.Lazy as BL
import Data.Digest.CRC32C (crc32c_update)
import Data.List (foldl')
import Data.Word (Word32)
-- | Compute the CRC32C checksum of the concatenation of the bytes checksummed
-- by the given CRC32C value and the bytes in the given ByteString.
extend :: Word32 -> B.ByteString -> Word32
extend = crc32c_update
-- | Compute the CRC32C checksum of the given bytes.
value :: BL.ByteString -> Word32
value = foldl' extend 0 . BL.toChunks
-- | Scramble a CRC32C value so that the result can be safely stored in a
-- bytestream that may itself be CRC'd.
--
-- This masking is the algorithm specified by TensorFlow's TFRecords format.
mask :: Word32 -> Word32
mask x = rotateR x 15 + maskDelta
-- | Inverse of 'mask'.
unmask :: Word32 -> Word32
unmask x = rotateL (x - maskDelta) 15
-- | Convenience function combining 'value' and 'mask'.
valueMasked :: BL.ByteString -> Word32
valueMasked = mask . value
maskDelta :: Word32
maskDelta = 0xa282ead8

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@ -0,0 +1,131 @@
-- Copyright 2016 TensorFlow authors.
--
-- Licensed under the Apache License, Version 2.0 (the "License");
-- you may not use this file except in compliance with the License.
-- You may obtain a copy of the License at
--
-- http://www.apache.org/licenses/LICENSE-2.0
--
-- Unless required by applicable law or agreed to in writing, software
-- distributed under the License is distributed on an "AS IS" BASIS,
-- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-- See the License for the specific language governing permissions and
-- limitations under the License.
-- | Encoder and decoder for the TensorFlow \"TFRecords\" format.
{-# LANGUAGE Rank2Types #-}
module TensorFlow.Records
(
-- * Records
putTFRecord
, getTFRecord
, getTFRecords
-- * Implementation
-- | These may be useful for encoding or decoding to types other than
-- 'ByteString' that have their own Cereal codecs.
, getTFRecordLength
, getTFRecordData
, putTFRecordLength
, putTFRecordData
) where
import Control.Monad (when)
import Data.ByteString.Unsafe (unsafePackCStringLen)
import qualified Data.ByteString.Builder as B (Builder)
import Data.ByteString.Builder.Extra (runBuilder, Next(..))
import qualified Data.ByteString.Lazy as BL
import Data.Serialize.Get
( Get
, getBytes
, getWord32le
, getWord64le
, getLazyByteString
, isEmpty
, lookAhead
)
import Data.Serialize
( Put
, execPut
, putLazyByteString
, putWord32le
, putWord64le
)
import Data.Word (Word8, Word64)
import Foreign.Marshal.Alloc (allocaBytes)
import Foreign.Ptr (Ptr, castPtr)
import System.IO.Unsafe (unsafePerformIO)
import qualified TensorFlow.CRC32C as CRC
-- | Parse one TFRecord.
getTFRecord :: Get BL.ByteString
getTFRecord = getTFRecordLength >>= getTFRecordData
-- | Parse many TFRecords as a list. Note you probably want streaming instead
-- as provided by the tensorflow-records-conduit package.
getTFRecords :: Get [BL.ByteString]
getTFRecords = do
e <- isEmpty
if e then return [] else (:) <$> getTFRecord <*> getTFRecords
getCheckMaskedCRC32C :: BL.ByteString -> Get ()
getCheckMaskedCRC32C bs = do
wireCRC <- getWord32le
let maskedCRC = CRC.valueMasked bs
when (maskedCRC /= wireCRC) $ fail $
"getCheckMaskedCRC32C: CRC mismatch, computed: " ++ show maskedCRC ++
", expected: " ++ show wireCRC
-- | Get a length and verify its checksum.
getTFRecordLength :: Get Word64
getTFRecordLength = do
buf <- lookAhead (getBytes 8)
getWord64le <* getCheckMaskedCRC32C (BL.fromStrict buf)
-- | Get a record payload and verify its checksum.
getTFRecordData :: Word64 -> Get BL.ByteString
getTFRecordData len = if len > 0x7fffffffffffffff
then fail "getTFRecordData: Record size overflows Int64"
else do
bs <- getLazyByteString (fromIntegral len)
getCheckMaskedCRC32C bs
return bs
putMaskedCRC32C :: BL.ByteString -> Put
putMaskedCRC32C = putWord32le . CRC.valueMasked
-- Runs a Builder that's known to write a fixed number of bytes on a
-- stack-allocated buffer, and runs the given IO action on the result. Raises
-- exceptions if the Builder yields ByteString chunks or attempts to write more
-- bytes than expected.
unsafeWithFixedWidthBuilder :: Int -> B.Builder -> (Ptr Word8 -> IO r) -> IO r
unsafeWithFixedWidthBuilder n b act = allocaBytes n $ \ptr -> do
(_, signal) <- runBuilder b ptr n
case signal of
Done -> act ptr
More _ _ -> error "unsafeWithFixedWidthBuilder: Builder returned More."
Chunk _ _ -> error "unsafeWithFixedWidthBuilder: Builder returned Chunk."
-- | Put a record length and its checksum.
putTFRecordLength :: Word64 -> Put
putTFRecordLength x =
let put = putWord64le x
len = 8
crc = CRC.mask $ unsafePerformIO $
-- Serialized Word64 is always 8 bytes, so we can go fast by using
-- alloca.
unsafeWithFixedWidthBuilder len (execPut put) $
\ptr -> CRC.extend 0 <$> unsafePackCStringLen (castPtr ptr, len)
in put *> putWord32le crc
-- | Put a record payload and its checksum.
putTFRecordData :: BL.ByteString -> Put
putTFRecordData bs = putLazyByteString bs *> putMaskedCRC32C bs
-- | Put one TFRecord with the given contents.
putTFRecord :: BL.ByteString -> Put
putTFRecord bs =
putTFRecordLength (fromIntegral $ BL.length bs) *> putTFRecordData bs

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@ -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

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@ -0,0 +1,51 @@
-- Copyright 2016 TensorFlow authors.
--
-- Licensed under the Apache License, Version 2.0 (the "License");
-- you may not use this file except in compliance with the License.
-- You may obtain a copy of the License at
--
-- http://www.apache.org/licenses/LICENSE-2.0
--
-- Unless required by applicable law or agreed to in writing, software
-- distributed under the License is distributed on an "AS IS" BASIS,
-- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-- See the License for the specific language governing permissions and
-- limitations under the License.
{-# LANGUAGE OverloadedStrings #-}
module Main where
import qualified Data.ByteString as B
import qualified Data.ByteString.Lazy as BL
import Data.Monoid ((<>))
import Data.Word (Word8)
import Data.Serialize (runGet, runPut)
import Test.Framework (Test, defaultMain)
import Test.Framework.Providers.QuickCheck2 (testProperty)
import TensorFlow.Records (getTFRecord, putTFRecord)
main :: IO ()
main = defaultMain tests
tests :: [Test]
tests =
[ testProperty "Inverse" propEncodeDecodeInverse
, testProperty "FixedRecord" propFixedRecord
]
-- There's no (Arbitrary BL.ByteString), so pack it from a list of chunks.
propEncodeDecodeInverse :: [[Word8]] -> Bool
propEncodeDecodeInverse s =
let bs = BL.fromChunks . fmap B.pack $ s
in runGet getTFRecord (runPut (putTFRecord bs)) == Right bs
propFixedRecord :: Bool
propFixedRecord =
("\x42" == case runGet getTFRecord record of
Left err -> error err -- Make the error appear in the test failure.
Right x -> x) &&
(runPut (putTFRecord "\x42") == record)
where
record = "\x01\x00\x00\x00\x00\x00\x00\x00" <> "\x01\x75\xde\x41" <>
"\x42" <> "\x52\xcf\xb8\x1e"