Make code --pedantic (#35)

* Enforce pedantic build mode in CI.
* Our imports drifted really far from where they should be.

ci_build/outer_launch_tests.sh

@@ -8,4 +8,4 @@ IMAGE_NAME=tensorflow/haskell/ci_build:v0
 
 git submodule update
 docker build -t $IMAGE_NAME -f ci_build/Dockerfile .
-docker run  $IMAGE_NAME stack test
+docker run  $IMAGE_NAME stack build --pedantic --test

tensorflow-mnist/app/Main.hs

@@ -15,7 +15,7 @@
 {-# LANGUAGE FlexibleContexts #-}
 {-# LANGUAGE OverloadedLists #-}
 
-import Control.Monad (zipWithM, when, forM, forM_)
+import Control.Monad (zipWithM, when, forM_)
 import Control.Monad.IO.Class (liftIO)
 import Data.Int (Int32, Int64)
 import Data.List (genericLength)
@@ -34,7 +34,8 @@ import qualified TensorFlow.Types as TF
 import TensorFlow.Examples.MNIST.InputData
 import TensorFlow.Examples.MNIST.Parse
 
-numPixels = 28^2 :: Int64
+numPixels, numLabels :: Int64
+numPixels = 28*28 :: Int64
 numLabels = 10 :: Int64
 
 -- | Create tensor with random values where the stddev depends on the width.
@@ -44,6 +45,7 @@ randomParam width (TF.Shape shape) =
   where
     stddev = TF.scalar (1 / sqrt (fromIntegral width))
 
+reduceMean :: TF.Tensor TF.Value Float -> TF.Tensor TF.Value Float
 reduceMean xs = TF.mean xs (TF.scalar (0 :: Int32))
 
 -- Types must match due to model structure.
@@ -108,6 +110,7 @@ createModel = do
               ] errorRateTensor
         }
 
+main :: IO ()
 main = TF.runSession $ do
     -- Read training and test data.
     trainingImages <- liftIO (readMNISTSamples =<< trainingImageData)

tensorflow-mnist/tests/ParseTest.hs

@@ -52,12 +52,14 @@ import TensorFlow.Nodes (unScalar)
 import TensorFlow.Session
     (runSession, run, run_, runWithFeeds, build, buildAnd)
 import TensorFlow.Types (TensorType(..), Shape(..))
+import Test.Framework (Test)
 import Test.Framework.Providers.HUnit (testCase)
 import Test.HUnit ((@=?), Assertion)
 import Google.Test
 import qualified Data.Vector as V
 
 -- | Test that a file can be read and the GraphDef proto correctly parsed.
+testReadMessageFromFileOrDie :: Test
 testReadMessageFromFileOrDie = testCase "testReadMessageFromFileOrDie" $ do
     -- Check the function on a known well-formatted file.
     mnist <- readMessageFromFileOrDie =<< mnistPb :: IO GraphDef
@@ -72,6 +74,7 @@ testReadMessageFromFileOrDie = testCase "testReadMessageFromFileOrDie" $ do
 
 -- | Parse the test set for label and image data. Will only fail if the file is
 --   missing or incredibly corrupt.
+testReadMNIST :: Test
 testReadMNIST = testCase "testReadMNIST" $ do
     imageData <- readMNISTSamples =<< testImageData
     10000 @=? length imageData
@@ -84,6 +87,7 @@ testNodeName n g = n @=? opName
     opName = head (gDef^.node)^.op
     gDef = asGraphDef $ render g
 
+testGraphDefGen :: Test
 testGraphDefGen = testCase "testGraphDefGen" $ do
     -- Test the inferred operation type.
     let f0 :: Tensor Value Float
@@ -101,6 +105,7 @@ testGraphDefGen = testCase "testGraphDefGen" $ do
     testNodeName "Mul"  $ (1 + f0) * 2
 
 -- | Convert a simple graph to GraphDef, load it, run it, and check the output.
+testGraphDefExec :: Test
 testGraphDefExec = testCase "testGraphDefExec" $ do
     let graphDef = asGraphDef $ render $ scalar (5 :: Float) * 10
     runSession $ do
@@ -110,6 +115,7 @@ testGraphDefExec = testCase "testGraphDefExec" $ do
 
 -- | Load MNIST from a GraphDef and the weights from a checkpoint and run on
 --   sample data.
+testMNISTExec :: Test
 testMNISTExec = testCase "testMNISTExec" $ do
     -- Switch to unicode to enable pretty printing of MNIST digits.
     IO.hSetEncoding IO.stdout IO.utf8

tensorflow-nn/src/TensorFlow/NN.hs

@@ -22,7 +22,7 @@ module TensorFlow.NN
 import Prelude hiding           ( log
                                 , exp
                                 )
-import TensorFlow.Build         ( Build(..)
+import TensorFlow.Build         ( Build
                                 , render
                                 , withNameScope
                                 )
@@ -32,7 +32,7 @@ import TensorFlow.GenOps.Core   ( greaterEqual
                                 , exp
                                 )
 import TensorFlow.Tensor        ( Tensor(..)
-                                , Value(..)
+                                , Value
                                 )
 import TensorFlow.Types         ( TensorType(..)
                                 , OneOf

tensorflow-nn/tests/NNTest.hs

@@ -12,28 +12,22 @@
 -- See the License for the specific language governing permissions and
 -- limitations under the License.
 
-{-# LANGUAGE OverloadedLists #-}
-{-# LANGUAGE OverloadedStrings #-}
-{-# LANGUAGE NoMonomorphismRestriction #-}
-{-# LANGUAGE FlexibleInstances #-}
 {-# LANGUAGE FlexibleContexts #-}
+{-# LANGUAGE OverloadedLists #-}
 
 module Main where
 
-import           Data.Maybe                         (fromMaybe)
 import           Google.Test                        (googleTest)
 import           TensorFlow.Test                    (assertAllClose)
+import           Test.Framework (Test)
 import           Test.Framework.Providers.HUnit     (testCase)
-import           Test.HUnit                         ((@?))
-import           Test.HUnit.Lang                    (Assertion(..))
 import qualified Data.Vector                        as V
 import qualified TensorFlow.Build                   as TF
 import qualified TensorFlow.Gradient                as TF
+import qualified TensorFlow.Nodes                   as TF
 import qualified TensorFlow.NN                      as TF
 import qualified TensorFlow.Ops                     as TF
 import qualified TensorFlow.Session                 as TF
-import qualified TensorFlow.Tensor                  as TF
-import qualified TensorFlow.Types                   as TF
 
 -- | These tests are ported from:
 --
@@ -46,9 +40,9 @@ sigmoidXentWithLogits :: Floating a => Ord a => [a] -> [a] -> [a]
 sigmoidXentWithLogits logits' targets' =
     let sig  = map (\x -> 1 / (1 + exp (-x))) logits'
         eps  = 0.0001
-        pred = map (\p -> min (max p eps) (1 - eps)) sig
+        predictions = map (\p -> min (max p eps) (1 - eps)) sig
         xent y z = (-z) * (log y) - (1 - z) * log (1 - y)
-     in zipWith xent pred targets'
+     in zipWith xent predictions targets'
 
 
 data Inputs = Inputs {
@@ -64,6 +58,7 @@ defInputs = Inputs {
     }
 
 
+testLogisticOutput :: Test
 testLogisticOutput = testCase "testLogisticOutput" $ do
     let inputs     = defInputs
         vLogits    = TF.vector $ logits  inputs
@@ -75,6 +70,7 @@ testLogisticOutput = testCase "testLogisticOutput" $ do
     assertAllClose r ourLoss
 
 
+testLogisticOutputMultipleDim :: Test
 testLogisticOutputMultipleDim =
         testCase "testLogisticOutputMultipleDim" $ do
     let inputs   = defInputs
@@ -88,6 +84,7 @@ testLogisticOutputMultipleDim =
     assertAllClose r ourLoss
 
 
+testGradientAtZero :: Test
 testGradientAtZero = testCase "testGradientAtZero" $ do
     let inputs   = defInputs { logits = [0, 0], targets = [0, 1] }
         vLogits  = TF.vector $ logits  inputs
@@ -100,10 +97,9 @@ testGradientAtZero = testCase "testGradientAtZero" $ do
 
     assertAllClose (head r) (V.fromList [0.5, -0.5])
 
-
+run :: TF.Fetchable t a => TF.Build t -> IO a
 run = TF.runSession . TF.buildAnd TF.run
 
-
 main :: IO ()
 main = googleTest [ testGradientAtZero
                   , testLogisticOutput

tensorflow-ops/src/TensorFlow/EmbeddingOps.hs

@@ -24,7 +24,7 @@ module TensorFlow.EmbeddingOps where
 import Control.Monad (zipWithM)
 import Data.Int (Int32, Int64)
 import TensorFlow.Build (Build, colocateWith, render)
-import TensorFlow.Ops (scalar, shape, vector)  -- Also Num instance for Tensor
+import TensorFlow.Ops (shape, vector)  -- Also Num instance for Tensor
 import TensorFlow.Tensor (Tensor, Value)
 import TensorFlow.Types (OneOf, TensorType)
 import qualified TensorFlow.GenOps.Core as CoreOps

tensorflow-ops/src/TensorFlow/Gradient.hs

@@ -95,7 +95,7 @@ import TensorFlow.Tensor
     , tensorOutput
     , tensorAttr
     )
-import TensorFlow.Types (OneOf, TensorType, attrLens)
+import TensorFlow.Types (Attribute, OneOf, TensorType, attrLens)
 import Proto.Tensorflow.Core.Framework.NodeDef
     (NodeDef, attr, input, op, name)
 
@@ -406,7 +406,7 @@ toT = Tensor ValueKind
 
 -- | Wrapper around `TensorFlow.GenOps.Core.slice` that builds vectors from scalars for
 -- simple slicing operations.
-flatSlice :: forall v1 t i . (TensorType t)
+flatSlice :: forall v1 t . (TensorType t)
          => Tensor v1 t    -- ^ __input__
          -> Int32          -- ^ __begin__: specifies the offset into the first dimension of
                            -- 'input' to slice from.
@@ -415,7 +415,7 @@ flatSlice :: forall v1 t i . (TensorType t)
                            -- are included in the slice (i.e. this is equivalent to setting
                            -- size = input.dim_size(0) - begin).
          -> Tensor Value t -- ^ __output__
-flatSlice input begin size = CoreOps.slice input (vector [begin]) (vector [size])
+flatSlice t begin size = CoreOps.slice t (vector [begin]) (vector [size])
 
 
 -- | The gradient function for an op type.
@@ -703,10 +703,14 @@ numOutputs o =
         _ -> error $ "numOuputs not implemented for " ++ show (o ^. op)
 
 -- Divides `x / y` assuming `x, y >= 0`, treating `0 / 0 = 0`
+safeShapeDiv :: Tensor v1 Int32 -> Tensor v2 Int32 -> Tensor Value Int32
 safeShapeDiv x y = x `CoreOps.div` (CoreOps.maximum y 1)
 
+allDimensions :: Tensor Value Int32
 allDimensions = vector [-1 :: Int32]
 
+rangeOfRank :: forall v1 t. TensorType t => Tensor v1 t -> Tensor Value Int32
 rangeOfRank x = CoreOps.range 0 (CoreOps.rank x) 1
 
+lookupAttr ::  Attribute a1 => NodeDef -> Text -> a1
 lookupAttr nodeDef attrName = nodeDef ^. attr . at attrName . non def . attrLens

tensorflow-ops/tests/ArrayOpsTest.hs

@@ -17,6 +17,7 @@ module Main where
 
 import Control.Monad.IO.Class (liftIO)
 import Google.Test (googleTest)
+import Test.Framework (Test)
 import Test.Framework.Providers.HUnit (testCase)
 import Test.HUnit ((@=?))
 import qualified Data.Vector as V
@@ -26,6 +27,7 @@ import qualified TensorFlow.Session as TF
 import qualified TensorFlow.GenOps.Core as CoreOps
 
 -- | Test split and concat are inverses.
+testSplit :: Test
 testSplit = testCase "testSplit" $ TF.runSession $ do
     let original = TF.constant [2, 3] [0..5 :: Float]
         splitList = CoreOps.split 3 dim original

tensorflow-ops/tests/BuildTest.hs

@@ -59,12 +59,14 @@ import TensorFlow.Session
     , runSession
     , run_
     )
+import Test.Framework (Test)
 import Test.Framework.Providers.HUnit (testCase)
 import Test.HUnit ((@=?))
 import Google.Test (googleTest)
 import qualified Data.Vector as V
 
 -- | Test named behavior.
+testNamed :: Test
 testNamed = testCase "testNamed" $ do
     let graph = named "foo" <$> variable [] >>= render :: Build (Tensor Ref Float)
         nodeDef :: NodeDef
@@ -73,6 +75,7 @@ testNamed = testCase "testNamed" $ do
     "foo" @=? (nodeDef ^. name)
 
 -- | Test named deRef behavior.
+testNamedDeRef :: Test
 testNamedDeRef = testCase "testNamedDeRef" $ do
     let graph = named "foo" <$> do
                     v :: Tensor Ref Float <- variable []
@@ -84,11 +87,13 @@ testNamedDeRef = testCase "testNamedDeRef" $ do
 
 -- | Test that "run" will render and extend any pure ops that haven't already
 -- been rendered.
+testPureRender :: Test
 testPureRender = testCase "testPureRender" $ runSession $ do
     result <- run $ 2 `add` 2
     liftIO $ 4 @=? (unScalar result :: Float)
 
 -- | Test that "run" assigns any previously accumulated initializers.
+testInitializedVariable :: Test
 testInitializedVariable =
     testCase "testInitializedVariable" $ runSession $ do
         (formula, reset) <- build $ do
@@ -101,6 +106,7 @@ testInitializedVariable =
         rerunResult <- run formula
         liftIO $ 25 @=? (unScalar rerunResult :: Float)
 
+testInitializedVariableShape :: Test
 testInitializedVariableShape =
     testCase "testInitializedVariableShape" $ runSession $ do
         vector <- build $ initializedVariable (constant [1] [42 :: Float])
@@ -108,6 +114,7 @@ testInitializedVariableShape =
         liftIO $ [42] @=? (result :: V.Vector Float)
 
 -- | Test nameScoped behavior.
+testNameScoped :: Test
 testNameScoped = testCase "testNameScoped" $ do
     let graph = withNameScope "foo" $ variable [] :: Build (Tensor Ref Float)
         nodeDef :: NodeDef
@@ -116,6 +123,7 @@ testNameScoped = testCase "testNameScoped" $ do
     "Variable" @=? (nodeDef ^. op)
 
 -- | Test combined named and nameScoped behavior.
+testNamedAndScoped :: Test
 testNamedAndScoped = testCase "testNamedAndScoped" $ do
     let graph :: Build (Tensor Ref Float)
         graph = withNameScope "foo1" ((named "bar1" <$> variable []) >>= render)
@@ -133,6 +141,7 @@ flushed :: Ord a => (NodeDef -> a) -> BuildT IO [a]
 flushed field = sort . map field <$> liftBuild flushNodeBuffer
 
 -- | Test the interaction of rendering, CSE and scoping.
+testRenderDedup :: Test
 testRenderDedup = testCase "testRenderDedup" $ evalBuildT $ do
    liftBuild renderNodes
    names <- flushed (^. name)
@@ -154,6 +163,7 @@ testRenderDedup = testCase "testRenderDedup" $ evalBuildT $ do
         return ()
 
 -- | Test the interaction of rendering, CSE and scoping.
+testDeviceColocation :: Test
 testDeviceColocation = testCase "testDeviceColocation" $ evalBuildT $ do
    liftBuild renderNodes
    devices <- flushed (\x -> (x ^. name, x ^. device))

tensorflow-ops/tests/EmbeddingOpsTest.hs

@@ -22,9 +22,9 @@ import Data.Int (Int32, Int64)
 import Data.List (genericLength)
 import Google.Test (googleTest)
 import TensorFlow.EmbeddingOps (embeddingLookup)
+import Test.Framework (Test)
 import Test.Framework.Providers.QuickCheck2 (testProperty)
-import Test.HUnit.Lang (Assertion(..))
-import Test.HUnit ((@=?), (@?))
+import Test.HUnit ((@=?))
 import Test.Framework.Providers.HUnit (testCase)
 import Test.QuickCheck (Arbitrary(..), Property, choose, vectorOf)
 import Test.QuickCheck.Monadic (monadicIO, run)
@@ -46,13 +46,14 @@ buildAndRun = TF.runSession . TF.buildAnd TF.run
 
 
 -- | Tries to perform a simple embedding lookup, with two partitions.
-testEmbeddingLookupHasRightShapeWithPartition = 
+testEmbeddingLookupHasRightShapeWithPartition :: Test
+testEmbeddingLookupHasRightShapeWithPartition =
         testCase "testEmbeddingLookupHasRightShapeWithPartition" $ do
-    let shape       = TF.Shape [1, 3] -- Consider a 3-dim embedding of two items.
+    let embShape     = TF.Shape [1, 3] -- Consider a 3-dim embedding of two items.
     let embedding1  = [1, 1, 1 :: Int32]
     let embedding2  = [0, 0, 0 :: Int32]
-    let embedding   = [ TF.constant shape embedding1
-                      , TF.constant shape embedding2
+    let embedding   = [ TF.constant embShape embedding1
+                      , TF.constant embShape embedding2
                       ]
 
     let idValues  = [0, 1 :: Int32]
@@ -71,15 +72,16 @@ testEmbeddingLookupHasRightShapeWithPartition =
 
 
 -- | Tries to perform a simple embedding lookup, with only a single partition.
-testEmbeddingLookupHasRightShape = 
+testEmbeddingLookupHasRightShape :: Test
+testEmbeddingLookupHasRightShape =
         testCase "testEmbeddingLookupHasRightShape" $ do
     -- Consider a 3-dim embedding of two items
-    let shape         = TF.Shape [2, 3]
+    let embShape      = TF.Shape [2, 3]
     let embeddingInit = [ 1, 1, 1
                         , 0, 0, 0 :: Int32
                         ]
 
-    let embedding = TF.constant shape embeddingInit
+    let embedding = TF.constant embShape embeddingInit
     let idValues  = [0, 1 :: Int32]
     let ids       = TF.constant (TF.Shape [1, 2]) idValues
     let op        = embeddingLookup [embedding] ids
@@ -96,6 +98,7 @@ testEmbeddingLookupHasRightShape =
 
 
 -- | Check that we can calculate gradients w.r.t embeddings.
+testEmbeddingLookupGradients :: Test
 testEmbeddingLookupGradients = testCase "testEmbeddingLookupGradients" $ do
     -- Agrees with "embedding", so gradient should be zero.
     let xVals = V.fromList ([20, 20 :: Float])
@@ -103,15 +106,15 @@ testEmbeddingLookupGradients = testCase "testEmbeddingLookupGradients" $ do
 
     gs <- TF.runSession $ do
         grads <- TF.build $ do
-            let shape         = TF.Shape [2, 1] 
+            let embShape      = TF.Shape [2, 1]
             let embeddingInit = [1, 20 ::Float]
             let idValues      = [1, 1 :: Int32]
             let ids           = TF.constant (TF.Shape [1, 2]) idValues
 
-            x <- TF.placeholder (TF.Shape [2]) 
-            embedding <- TF.initializedVariable 
-                            =<< TF.render (TF.constant shape embeddingInit)
-            
+            x <- TF.placeholder (TF.Shape [2])
+            embedding <- TF.initializedVariable
+                            =<< TF.render (TF.constant embShape embeddingInit)
+
             op <- embeddingLookup [embedding] ids
             let twoNorm = CoreOps.square $ TF.abs (op - x)
                 loss    = TF.mean twoNorm (TF.scalar (0 :: Int32))
@@ -163,7 +166,9 @@ instance Arbitrary a => Arbitrary (LookupExample a) where
     arbitrary = do
         rank <- choose (1, 4)
         -- Takes rank-th root of 100 to cap the tensor size.
-        let maxDim = fromIntegral $ ceiling $ 100 ** (1 / fromIntegral rank)
+        let maxDim = fromIntegral (ceiling doubleMaxDim :: Int64)
+            doubleMaxDim :: Double
+            doubleMaxDim = 100 ** (1 / fromIntegral rank)
         shape@(firstDim : _) <- vectorOf rank (choose (1, maxDim))
         values <- vectorOf (fromIntegral $ product shape) arbitrary
         numParts <- choose (2, 15)

tensorflow-ops/tests/MiscTest.hs

@@ -19,6 +19,7 @@ module Main where
 
 import Control.Monad.IO.Class (liftIO)
 import Data.Int (Int32)
+import Test.Framework (Test)
 import Test.Framework.Providers.HUnit (testCase)
 import Test.HUnit ((@=?))
 import Google.Test
@@ -29,6 +30,7 @@ import TensorFlow.Ops
 import TensorFlow.Session
 
 -- | Test fetching multiple outputs from an op.
+testMultipleOutputs :: Test
 testMultipleOutputs = testCase "testMultipleOutputs" $
     runSession $ do
         (values, indices) <-
@@ -37,6 +39,7 @@ testMultipleOutputs = testCase "testMultipleOutputs" $
         liftIO $ [1, 3] @=? V.toList (indices :: V.Vector Int32)
 
 -- | Test op with variable number of inputs.
+testVarargs :: Test
 testVarargs = testCase "testVarargs" $
     runSession $ do
         xs <- run $ pack $ map scalar [1..8]

tensorflow-ops/tests/OpsTest.hs

@@ -12,9 +12,7 @@
 -- See the License for the specific language governing permissions and
 -- limitations under the License.
 
-{-# LANGUAGE OverloadedLists #-}
 {-# LANGUAGE OverloadedStrings #-}
-{-# LANGUAGE NoMonomorphismRestriction #-}
 
 module Main where
 
@@ -22,6 +20,7 @@ import Control.Monad.IO.Class (liftIO)
 import Data.Int (Int32, Int64)
 import Google.Test (googleTest)
 import System.IO.Temp (withSystemTempDirectory)
+import Test.Framework (Test)
 import Test.Framework.Providers.HUnit (testCase)
 import Test.HUnit ((@=?))
 import qualified Data.ByteString.Char8 as B8
@@ -33,25 +32,31 @@ import qualified TensorFlow.Nodes as TF
 import qualified TensorFlow.Ops as TF
 import qualified TensorFlow.Session as TF
 import qualified TensorFlow.Tensor as TF
+import qualified TensorFlow.Types as TF
 
 -- | Test that one can easily determine number of elements in the tensor.
+testSize :: Test
 testSize = testCase "testSize" $ do
-    x <- eval $ TF.size (TF.constant [2, 3] [0..5 :: Float])
+    x <- eval $ TF.size (TF.constant (TF.Shape [2, 3]) [0..5 :: Float])
     TF.Scalar (2 * 3 :: Int32) @=? x
 
+eval :: TF.Fetchable t a => t -> IO a
 eval = TF.runSession . TF.buildAnd TF.run . return
 
 -- | Confirms that the original example from Python code works.
+testReducedShape :: Test
 testReducedShape = testCase "testReducedShape" $ do
     x <- eval $ TF.reducedShape (TF.vector [2, 3, 5, 7 :: Int64])
                                 (TF.vector [1, 2 :: Int32])
     V.fromList [2, 1, 1, 7 :: Int32] @=? x
 
+testSaveRestore :: Test
 testSaveRestore = testCase "testSaveRestore" $
     withSystemTempDirectory "" $ \dirPath -> do
         let path = B8.pack $ dirPath ++ "/checkpoint"
             var :: TF.Build (TF.Tensor TF.Ref Float)
-            var = TF.render =<< TF.named "a" <$> TF.zeroInitializedVariable []
+            var = TF.render =<<
+                  TF.named "a" <$> TF.zeroInitializedVariable (TF.Shape [])
         TF.runSession $ do
             v <- TF.build var
             TF.buildAnd TF.run_ $ TF.assign v 134

tensorflow-ops/tests/TracingTest.hs

@@ -21,11 +21,10 @@ import Control.Concurrent.MVar (newEmptyMVar, putMVar, tryReadMVar)
 import Data.ByteString.Builder (toLazyByteString)
 import Data.ByteString.Lazy (isPrefixOf)
 import Data.Default (def)
-import Data.Monoid ((<>))
 import Lens.Family2 ((&), (.~))
 import Test.Framework (defaultMain)
 import Test.Framework.Providers.HUnit (testCase)
-import Test.HUnit ((@=?), assertBool, assertFailure)
+import Test.HUnit (assertBool, assertFailure)
 
 import qualified TensorFlow.Core as TF
 import qualified TensorFlow.Ops as TF
@@ -44,6 +43,7 @@ testTracing = do
             assertBool ("Unexpected log entry " ++ show got)
                        ("Session.extend" `isPrefixOf` got)
 
+main :: IO ()
 main = defaultMain
     [ testCase "Tracing" testTracing
     ]

tensorflow-ops/tests/TypesTest.hs

@@ -19,11 +19,14 @@
 {-# LANGUAGE OverloadedStrings #-}
 {-# LANGUAGE TypeFamilies #-}
 {-# OPTIONS_GHC -fno-warn-orphans #-}
+-- Purposely disabled to confirm doubleFuncNoSig can be written without type.
+{-# OPTIONS_GHC -fno-warn-missing-signatures #-}
 
 import Control.Monad (replicateM)
 import Control.Monad.IO.Class (liftIO)
 import Data.Int (Int64)
 import Google.Test (googleTest)
+import Test.Framework (Test)
 import Test.Framework.Providers.HUnit (testCase)
 import Test.Framework.Providers.QuickCheck2 (testProperty)
 import Test.HUnit ((@=?))
@@ -43,10 +46,11 @@ instance Arbitrary B.ByteString where
 
 -- Test encoding tensors, feeding them through tensorflow, and decoding the
 -- results.
+testFFIRoundTrip :: Test
 testFFIRoundTrip = testCase "testFFIRoundTrip" $
     TF.runSession $ do
         let floatData = V.fromList [1..6 :: Float]
-            stringData = V.fromList [B8.pack (show x) | x <- [1..6]]
+            stringData = V.fromList [B8.pack (show x) | x <- [1..6::Integer]]
         f <- TF.build $ TF.placeholder [2,3]
         s <- TF.build $ TF.placeholder [2,3]
         let feeds = [ TF.feed f (TF.encodeTensorData [2,3] floatData)
@@ -78,12 +82,15 @@ encodeDecodeProp :: (TF.TensorType a, Eq a) => TensorDataInputs a -> Bool
 encodeDecodeProp (TensorDataInputs shape vec) =
     TF.decodeTensorData (TF.encodeTensorData (TF.Shape shape) vec) == vec
 
+testEncodeDecodeQcFloat :: Test
 testEncodeDecodeQcFloat = testProperty "testEncodeDecodeQcFloat"
     (encodeDecodeProp :: TensorDataInputs Float -> Bool)
 
+testEncodeDecodeQcInt64 :: Test
 testEncodeDecodeQcInt64 = testProperty "testEncodeDecodeQcInt64"
     (encodeDecodeProp :: TensorDataInputs Int64 -> Bool)
 
+testEncodeDecodeQcString :: Test
 testEncodeDecodeQcString = testProperty "testEncodeDecodeQcString"
     (encodeDecodeProp :: TensorDataInputs B.ByteString -> Bool)
 
@@ -101,6 +108,7 @@ doubleFunc = doubleOrFloatFunc . doubleOrInt64Func
 -- can't simplify the type all the way to `Double -> Double`.
 doubleFuncNoSig = doubleOrFloatFunc . doubleOrInt64Func
 
+typeConstraintTests :: Test
 typeConstraintTests = testCase "type constraints" $ do
     42 @=? doubleOrInt64Func (42 :: Double)
     42 @=? doubleOrInt64Func (42 :: Int64)

tensorflow-queue/tests/QueueTest.hs

@@ -31,11 +31,13 @@ import TensorFlow.Session
     , runSession
     , run_
     )
+import Test.Framework (Test)
 import Test.Framework.Providers.HUnit (testCase)
 import Test.HUnit ((@=?))
 import qualified Data.ByteString as BS
 
 -- | Test basic queue behaviors.
+testBasic :: Test
 testBasic = testCase "testBasic" $ runSession $ do
     (q :: Queue2 Int64 BS.ByteString) <- build $ makeQueue2 1 ""
     buildAnd run_ (enqueue q 42 (scalar "Hi"))
@@ -47,6 +49,7 @@ testBasic = testCase "testBasic" $ runSession $ do
     liftIO $ (Scalar 56, Scalar "Bar") @=? y
 
 -- | Test queue pumping.
+testPump :: Test
 testPump = testCase "testPump" $ runSession $ do
     (deq, pump) <- build $ do
         q :: Queue2 Int64 BS.ByteString <- makeQueue2 2 "ThePumpQueue"
@@ -61,6 +64,7 @@ testPump = testCase "testPump" $ runSession $ do
     liftIO $ (Scalar 31, Scalar "Baz") @=? x
     liftIO $ (Scalar 31, Scalar "Baz") @=? y
 
+testAsync :: Test
 testAsync = testCase "testAsync" $ runSession $ do
     (deq, pump) <- build $ do
         q :: Queue2 Int64 BS.ByteString <- makeQueue2 2 ""

tensorflow-test/src/TensorFlow/Test.hs

@@ -20,8 +20,7 @@ module TensorFlow.Test
 
 import qualified Data.Vector as V
 import Test.HUnit ((@?))
-import Test.HUnit.Lang (Assertion(..))
-
+import Test.HUnit.Lang (Assertion)
 -- | Compares that the vectors are element-by-element equal within the given
 -- tolerance. Raises an assertion and prints some information if not.
 assertAllClose :: V.Vector Float -> V.Vector Float -> Assertion
@@ -31,4 +30,3 @@ assertAllClose xs ys = all (<= tol) (V.zipWith absDiff xs ys) @?
   where
       absDiff x y = abs (x - y)
       tol = 0.001 :: Float
-

tensorflow/src/TensorFlow/Internal/FFI.hs

@@ -36,7 +36,6 @@ import Control.Concurrent.MVar (MVar, modifyMVarMasked_, newMVar, takeMVar)
 import Control.Exception (Exception, throwIO, bracket, finally, mask_)
 import Control.Monad (when)
 import Data.Bits (Bits, toIntegralSized)
-import Data.Data (Data, dataTypeName, dataTypeOf)
 import Data.Int (Int64)
 import Data.Maybe (fromMaybe)
 import Data.Typeable (Typeable)

tensorflow/src/TensorFlow/Output.hs

@@ -13,8 +13,9 @@
 -- limitations under the License.
 
 {-# LANGUAGE GeneralizedNewtypeDeriving #-}
-{-# LANGUAGE Rank2Types #-}
 {-# LANGUAGE OverloadedStrings #-}
+{-# LANGUAGE Rank2Types #-}
+{-# LANGUAGE ScopedTypeVariables #-}
 
 module TensorFlow.Output
     ( ControlNode(..)
@@ -150,8 +151,8 @@ opControlInputs = lens _opControlInputs (\o x -> o {_opControlInputs = x})
 -- code into a Build function
 instance IsString Output where
     fromString s = case break (==':') s of
-        (n, ':':ixStr)
-            | [(ix, "")] <- read ixStr -> Output (fromInteger ix) $ assigned n
+        (n, ':':ixStr) | [(ix, "" :: String)] <- read ixStr
+                         -> Output (fromInteger ix) $ assigned n
         _ -> Output 0 $ assigned s
         where assigned n = Rendered $ def & name .~ Text.pack n
 

tensorflow/src/TensorFlow/Session.hs

@@ -46,24 +46,22 @@ import Data.ByteString (ByteString)
 import Data.Default (Default, def)
 import Data.Functor.Identity (runIdentity)
 import Data.Monoid ((<>))
-import qualified Data.Map.Strict as Map
-import qualified Data.Set as Set
+import Data.ProtoLens (showMessage)
 import Data.Set (Set)
 import Data.Text.Encoding (encodeUtf8)
-import Data.ProtoLens (def, showMessage)
 import Lens.Family2 (Lens', (^.), (&), (.~))
 import Lens.Family2.Unchecked (lens)
 import Proto.Tensorflow.Core.Framework.Graph (node)
 import Proto.Tensorflow.Core.Protobuf.Config (ConfigProto)
-
 import TensorFlow.Build
 import TensorFlow.Nodes
 import TensorFlow.Output (NodeName, unNodeName)
 import TensorFlow.Tensor
 
 import qualified Data.ByteString.Builder as Builder
+import qualified Data.Map.Strict as Map
+import qualified Data.Set as Set
 import qualified TensorFlow.Internal.FFI as FFI
-import qualified TensorFlow.Internal.Raw as Raw
 
 -- | An action for logging.
 type Tracer = Builder.Builder -> IO ()

tensorflow/tests/FFITest.hs

@@ -33,6 +33,7 @@ testParseAll = do
          . not . null . view op)
         (decodeMessage opList :: Either String OpList)
 
+main :: IO ()
 main = defaultMain
     [ testCase "ParseAllOps" testParseAll
     ]

tensorflow/tests/VarIntTest.hs

@@ -16,11 +16,13 @@ module Main where
 
 import Data.ByteString.Builder (toLazyByteString)
 import Google.Test (googleTest)
+import Test.Framework (Test)
 import Test.Framework.Providers.QuickCheck2 (testProperty)
 import qualified Data.Attoparsec.ByteString.Lazy as Atto
 
 import TensorFlow.Internal.VarInt
 
+testEncodeDecode :: Test
 testEncodeDecode = testProperty "testEncodeDecode" $ \x ->
     let bytes = toLazyByteString (putVarInt x)
     in case Atto.eitherResult $ Atto.parse getVarInt bytes of