Migrate from TF_DeprecatedSession to TF_Session

Instead of calling TF_ExtendGraph, we call TF_GraphImportGraphDef and
pass an input map for all existing nodes in the graph.

tensorflow/src/TensorFlow/Internal/FFI.hs

@@ -20,8 +20,15 @@ module TensorFlow.Internal.FFI
     ( TensorFlowException(..)
     , Raw.Session
     , withSession
-    , extendGraph
     , run
+
+    , SessionAction
+
+    , Raw.SessionOptions
+
+    , Raw.Graph
+    , extendGraph
+
     , TensorData(..)
     , setSessionConfig
     , setSessionTarget
@@ -40,16 +47,17 @@ import Control.Monad.Catch (MonadMask, Exception, throwM, bracket, finally, mask
 import Control.Monad.IO.Class (MonadIO, liftIO)
 import Data.Bits (Bits, toIntegralSized)
 import Data.Int (Int64)
+import Data.Foldable (for_)
 import Data.Maybe (fromMaybe)
 import Data.Typeable (Typeable)
 import Data.Word (Word8)
-import Foreign (Ptr, FunPtr, nullPtr, castPtr)
-import Foreign.C.String (CString)
-import Foreign.ForeignPtr (newForeignPtr, newForeignPtr_, withForeignPtr)
+import Foreign (Ptr, FunPtr, nullPtr, castPtr, with)
+import Foreign.ForeignPtr (newForeignPtr_)
 import Foreign.Marshal.Alloc (free)
 import Foreign.Marshal.Array (withArrayLen, peekArray, mallocArray, copyArray)
 import System.IO.Unsafe (unsafePerformIO)
 import qualified Data.ByteString as B
+import qualified Data.ByteString.Char8 as C
 import qualified Data.Text as T
 import qualified Data.Text.Encoding as T
 import qualified Data.Text.Encoding.Error as T
@@ -87,15 +95,26 @@ data TensorData = TensorData
     }
   deriving (Show, Eq)
 
+-- | The action can spawn concurrent tasks which will be canceled before
+-- withSession returns.
+type SessionAction m a = (IO () -> IO ()) -> Raw.Session -> Raw.Graph -> m a
+
 -- | Runs the given action after creating a session with options
 -- populated by the given optionSetter.
 withSession :: (MonadIO m, MonadMask m)
             => (Raw.SessionOptions -> IO ())
-            -> ((IO () -> IO ()) -> Raw.Session -> m a)
-            -- ^ The action can spawn concurrent tasks which will
-            -- be canceled before withSession returns.
+            -> SessionAction m a
             -> m a
-withSession optionSetter action = do
+withSession = withSession_ Raw.newSession
+
+withSession_ :: (MonadIO m, MonadMask m)
+             => (Raw.Graph -> Raw.SessionOptions -> Raw.Status -> IO Raw.Session)
+             -- ^ mkSession
+             -> (Raw.SessionOptions -> IO ())
+             -- ^ optionSetter
+             -> SessionAction m a
+             -> m a
+withSession_ mkSession optionSetter action = do
     drain <- liftIO $ newMVar []
     let cleanup s =
         -- Closes the session to nudge the pending run calls to fail and exit.
@@ -105,11 +124,12 @@ withSession optionSetter action = do
                 mapM_ shutDownRunner runners
                 checkStatus (Raw.deleteSession s)
     let bracketIO x y = bracket (liftIO x) (liftIO . y)
-    bracketIO Raw.newSessionOptions Raw.deleteSessionOptions $ \options -> do
-        bracketIO
-            (optionSetter options >> checkStatus (Raw.newSession options))
-            cleanup
-            (action (asyncCollector drain))
+    bracketIO Raw.newGraph Raw.deleteGraph $ \graph ->
+        bracketIO Raw.newSessionOptions Raw.deleteSessionOptions $ \options -> do
+            bracketIO
+                (optionSetter options >> checkStatus (mkSession graph options))
+                cleanup
+                (\session -> action (asyncCollector drain) session graph)
 
 asyncCollector :: MVar [Async ()] -> IO () -> IO ()
 asyncCollector drain runner = modifyMVarMasked_ drain launchAndRecord
@@ -122,43 +142,103 @@ shutDownRunner r = do
     -- TODO(gnezdo): manage exceptions better than print.
     either print (const (return ())) =<< waitCatch r
 
-extendGraph :: Raw.Session -> GraphDef -> IO ()
-extendGraph session pb =
-    useProtoAsVoidPtrLen pb $ \ptr len ->
-        checkStatus $ Raw.extendGraph session ptr len
+graphImportGraphDef :: Raw.Graph
+                    -> GraphDef
+                    -> (Raw.ImportGraphDefOptions -> IO ())
+                    -> IO ()
+graphImportGraphDef graph pb optionSetter =
+    useProtoAsBuffer pb $ \buffer ->
+        bracket Raw.newImportGraphDefOptions Raw.deleteImportGraphDefOptions $ \importGraphDefOptions -> do
+            optionSetter importGraphDefOptions
+            checkStatus $ Raw.graphImportGraphDef graph buffer importGraphDefOptions
 
+forGraphOperations_ :: Raw.Graph
+                    -> (Raw.Operation -> IO b)
+                    -> IO ()
+forGraphOperations_ graph f = with 0 go
+  where
+    go indexPtr = do
+        op <- Raw.graphNextOperation graph indexPtr
+        case op of
+          Raw.Operation ptr | ptr == nullPtr -> return ()
+          _ -> f op >> go indexPtr -- indexPtr is modified by Raw.graphNextOperation.
+
+extendGraph :: Raw.Graph -> GraphDef -> IO ()
+extendGraph graph graphDef =
+    graphImportGraphDef graph graphDef $ \opts ->
+        -- All inputs of the nodes in the GraphDef should either refer to
+        -- other nodes in the GraphDef, or be mapped to nodes already in
+        -- the Graph by adding an input mapping.
+        -- We add an input mapping for all existing nodes in the Graph in
+        -- case they are referenced in the GraphDef.
+        forGraphOperations_ graph $ \op -> do
+            srcName <- Raw.operationName op
+            numOutputs <- Raw.operationNumOutputs op
+            for_ [0..numOutputs] $ \srcIndex -> do
+                let dst = Raw.Output op (safeConvert srcIndex)
+                with dst $ Raw.importGraphDefOptionsAddInputMapping opts srcName srcIndex
 
 run :: Raw.Session
-    -> [(B.ByteString, TensorData)] -- ^ Feeds.
-    -> [B.ByteString]               -- ^ Fetches.
-    -> [B.ByteString]               -- ^ Targets.
+    -> Raw.Graph
+    -> [(B.ByteString, TensorData)] -- ^ Inputs.
+    -> [B.ByteString]               -- ^ Outputs.
+    -> [B.ByteString]               -- ^ Target operations.
     -> IO [TensorData]
-run session feeds fetches targets = do
-    let nullTensor = Raw.Tensor nullPtr
+run session graph inputNamesData outputNames targetNames = do
     -- Use mask to avoid leaking input tensors before they are passed to 'run'
     -- and output tensors before they are passed to 'createTensorData'.
     mask_ $
-        -- Feeds
-        withStringArrayLen (fst <$> feeds) $ \feedsLen feedNames ->
-        mapM (createRawTensor . snd) feeds >>= \feedTensors ->
-        withArrayLen feedTensors $ \_ cFeedTensors ->
-        -- Fetches.
-        withStringArrayLen fetches $ \fetchesLen fetchNames ->
-        -- tensorOuts is an array of null Tensor pointers that will be filled
+        -- Inputs.
+        mapM (resolveOutput graph . fst) inputNamesData >>= \inputs ->
+        withArrayLen inputs $ \nInputs cInputs ->
+        mapM (createRawTensor . snd) inputNamesData >>= \inputTensors ->
+        withArrayLen inputTensors $ \_ cInputTensors ->
+        -- Outputs.
+        mapM (resolveOutput graph) outputNames >>= \outputs ->
+        withArrayLen outputs $ \nOutputs cOutputs ->
+        -- outputTensors is an array of null Tensor pointers that will be filled
         -- by the call to Raw.run.
-        withArrayLen (replicate fetchesLen nullTensor) $ \_ tensorOuts ->
-        -- Targets.
-        withStringArrayLen targets $ \targetsLen ctargets -> do
+        withArrayLen (replicate nOutputs nullTensor) $ \_ cOutputTensors ->
+        -- Target operations.
+        mapM (resolveOperation graph) targetNames >>= \targets ->
+        withArrayLen targets $ \nTargets cTargets -> do
             checkStatus $ Raw.run
                 session
-                nullPtr
-                feedNames cFeedTensors (safeConvert feedsLen)
-                fetchNames tensorOuts (safeConvert fetchesLen)
-                ctargets (safeConvert targetsLen)
-                nullPtr
-            mapM_ Raw.deleteTensor feedTensors
-            outTensors <- peekArray fetchesLen tensorOuts
+                nullPtr -- RunOptions proto.
+                cInputs  cInputTensors  (safeConvert nInputs)
+                cOutputs cOutputTensors (safeConvert nOutputs)
+                cTargets                (safeConvert nTargets)
+                nullPtr -- RunMetadata.
+            mapM_ Raw.deleteTensor inputTensors
+            outTensors <- peekArray nOutputs cOutputTensors
             mapM createTensorData outTensors
+  where
+
+    nullTensor = Raw.Tensor nullPtr
+
+resolveOutput :: Raw.Graph -> B.ByteString -> IO Raw.Output
+resolveOutput graph name = do
+    let (opName, idx) = parseName name
+    op <- resolveOperation graph opName
+    pure $ Raw.Output op (safeConvert idx)
+  where
+    parseName :: B.ByteString -> (B.ByteString, Int)
+    parseName opName =
+        case break (== ':') (C.unpack opName) of
+          (opName_, ':':idxStr) | idx <- read idxStr
+            -> (C.pack opName_, idx)
+          _ -> (opName, 0)
+
+resolveOperation :: Raw.Graph -> B.ByteString -> IO Raw.Operation
+resolveOperation graph name = do
+    op <- Raw.graphOperationByName graph name
+    case op of
+      Raw.Operation ptr | ptr == nullPtr -> throwM exception
+      _ -> pure op
+  where
+    exception =
+        let msg = "Operation not found in graph: " <> (T.pack $ show name)
+        in TensorFlowException Raw.TF_INVALID_ARGUMENT msg
 
 
 -- Internal.
@@ -174,21 +254,6 @@ safeConvert x =
             show (fromIntegral x :: b)))
     (toIntegralSized x)
 
-
--- | Use a list of ByteString as a list of CString.
-withStringList :: [B.ByteString] -> ([CString] -> IO a) -> IO a
-withStringList strings fn = go strings []
-  where
-    go [] cs = fn (reverse cs)
-    -- TODO(fmayle): Is it worth using unsafeAsCString here?
-    go (x:xs) cs = B.useAsCString x $ \c -> go xs (c:cs)
-
-
--- | Use a list of ByteString as an array of CString.
-withStringArrayLen :: [B.ByteString] -> (Int -> Ptr CString -> IO a) -> IO a
-withStringArrayLen xs fn = withStringList xs (`withArrayLen` fn)
-
-
 -- | Create a Raw.Tensor from a TensorData.
 createRawTensor :: TensorData -> IO Raw.Tensor
 createRawTensor (TensorData dims dt byteVec) =
@@ -258,18 +323,26 @@ useProtoAsVoidPtrLen :: (Message msg, Integral c, Show c, Bits c) =>
 useProtoAsVoidPtrLen msg f = B.useAsCStringLen (encodeMessage msg) $
         \(bytes, len) -> f (castPtr bytes) (safeConvert len)
 
+-- | Serializes the given msg and provides it as BufferPtr argument
+-- to the given action.
+useProtoAsBuffer :: (Message msg) =>
+                    msg -> (Raw.BufferPtr -> IO a) -> IO a
+useProtoAsBuffer msg f =
+    B.useAsCStringLen (encodeMessage msg) $ \(bytes, len) ->
+        bracket (Raw.newBufferFromString (castPtr bytes) (safeConvert len))
+                Raw.deleteBuffer
+                f
+
 -- | Returns the serialized OpList of all OpDefs defined in this
 -- address space.
 getAllOpList :: IO B.ByteString
-getAllOpList = do
-    foreignPtr <-
-        mask_ (newForeignPtr Raw.deleteBuffer =<< checkCall)
-    -- Makes a copy because it is more reliable than eviscerating
-    -- Buffer to steal its memory (including custom deallocator).
-    withForeignPtr foreignPtr $
-        \ptr -> B.packCStringLen =<< (,)
-                <$> (castPtr <$> Raw.getBufferData ptr)
-                <*> (safeConvert <$> Raw.getBufferLength ptr)
+getAllOpList =
+    bracket checkCall Raw.deleteBuffer $ \buffer ->
+        -- Makes a copy because it is more reliable than eviscerating
+        -- Buffer to steal its memory (including custom deallocator).
+        B.packCStringLen =<< (,)
+            <$> (castPtr <$> Raw.getBufferData buffer)
+            <*> (safeConvert <$> Raw.getBufferLength buffer)
     where
       checkCall = do
           p <- Raw.getAllOpList

tensorflow/src/TensorFlow/Internal/Raw.chs

@@ -18,6 +18,7 @@ module TensorFlow.Internal.Raw where
 
 #include "third_party/tensorflow/c/c_api.h"
 
+import Data.ByteString (ByteString, packCString, useAsCString)
 import Foreign
 import Foreign.C
 
@@ -61,6 +62,35 @@ stringGetSize :: TString -> IO CULong
 stringGetSize = {# call TF_StringGetSize as ^ #}
 
 
+-- Operation.
+{# pointer *TF_Operation as Operation newtype #}
+{# fun TF_OperationName as operationName { `Operation' } -> `ByteString' packCString* #}
+{# fun TF_OperationNumOutputs as operationNumOutputs { `Operation' } -> `Int' #}
+
+instance Storable Operation where
+    sizeOf (Operation t) = sizeOf t
+    alignment (Operation t) = alignment t
+    peek p = fmap Operation (peek (castPtr p))
+    poke p (Operation t) = poke (castPtr p) t
+
+
+-- Output.
+data Output = Output
+    { outputOperation :: Operation
+    , outputIndex     :: CInt
+    }
+{# pointer *TF_Output as OutputPtr -> Output #}
+
+instance Storable Output where
+    sizeOf _ = {# sizeof TF_Output #}
+    alignment _ = {# alignof TF_Output #}
+    peek p = Output <$> {# get TF_Output->oper #} p
+                    <*> (fromIntegral <$> {# get TF_Output->index #} p)
+    poke p (Output oper index) = do
+        {# set TF_Output->oper #} p oper
+        {# set TF_Output->index #} p $ fromIntegral index
+
+
 -- Buffer.
 data Buffer
 {# pointer *TF_Buffer as BufferPtr -> Buffer #}
@@ -71,6 +101,12 @@ getBufferData = {# get TF_Buffer->data #}
 getBufferLength :: BufferPtr -> IO CULong
 getBufferLength = {# get TF_Buffer->length #}
 
+newBufferFromString :: Ptr () -> CULong -> IO BufferPtr
+newBufferFromString = {# call TF_NewBufferFromString as ^ #}
+
+deleteBuffer :: BufferPtr -> IO ()
+deleteBuffer = {# call TF_DeleteBuffer as ^ #}
+
 -- Tensor.
 {# pointer *TF_Tensor as Tensor newtype #}
 
@@ -86,6 +122,8 @@ instance Storable Tensor where
 -- `CLLong`).
 type CInt64 = {#type int64_t #}
 
+{# pointer *size_t as CSizePtr -> CSize #}
+
 newTensor :: DataType
           -> Ptr CInt64   -- dimensions array
           -> CInt         -- num dimensions
@@ -114,6 +152,31 @@ tensorByteSize = {# call TF_TensorByteSize as ^ #}
 tensorData :: Tensor -> IO (Ptr ())
 tensorData = {# call TF_TensorData as ^ #}
 
+-- ImportGraphDefOptions.
+{# pointer *TF_ImportGraphDefOptions as ImportGraphDefOptions newtype #}
+{# fun TF_NewImportGraphDefOptions as newImportGraphDefOptions { } -> `ImportGraphDefOptions' #}
+{# fun TF_DeleteImportGraphDefOptions as deleteImportGraphDefOptions { `ImportGraphDefOptions' } -> `()' #}
+{# fun TF_ImportGraphDefOptionsAddInputMapping as importGraphDefOptionsAddInputMapping
+    {                `ImportGraphDefOptions'
+    , useAsCString*  `ByteString'
+    ,                `Int'
+    ,               %`OutputPtr'
+    } ->             `()'
+#}
+
+
+-- Graph.
+{# pointer *TF_Graph as Graph newtype #}
+{# fun TF_NewGraph as newGraph { } -> `Graph' #}
+{# fun TF_DeleteGraph as deleteGraph { `Graph' } -> `()' #}
+{# fun TF_GraphOperationByName as graphOperationByName
+    {               `Graph'
+    , useAsCString* `ByteString'
+    } ->            `Operation'
+#}
+{# fun TF_GraphNextOperation as graphNextOperation { `Graph', `CSizePtr' } -> `Operation' #}
+{# fun TF_GraphImportGraphDef as graphImportGraphDef { `Graph', `BufferPtr', `ImportGraphDefOptions', `Status' } -> `()' #}
+
 
 -- Session Options.
 {# pointer *TF_SessionOptions as SessionOptions newtype #}
@@ -132,29 +195,27 @@ deleteSessionOptions = {# call TF_DeleteSessionOptions as ^ #}
 
 
 -- Session.
-{# pointer *TF_DeprecatedSession as Session newtype #}
+{# pointer *TF_Session as Session newtype #}
+
+newSession :: Graph -> SessionOptions -> Status -> IO Session
+newSession = {# call TF_NewSession as ^ #}
 
-newSession :: SessionOptions -> Status -> IO Session
-newSession = {# call TF_NewDeprecatedSession as ^ #}
 
 closeSession :: Session -> Status -> IO ()
-closeSession = {# call TF_CloseDeprecatedSession as ^ #}
+closeSession = {# call TF_CloseSession as ^ #}
 
 deleteSession :: Session -> Status -> IO ()
-deleteSession = {# call TF_DeleteDeprecatedSession as ^ #}
-
-extendGraph :: Session -> Ptr () -> CULong -> Status -> IO ()
-extendGraph = {# call TF_ExtendGraph as ^ #}
+deleteSession = {# call TF_DeleteSession as ^ #}
 
 run :: Session
-    -> BufferPtr                          -- RunOptions proto.
-    -> Ptr CString -> Ptr Tensor -> CInt  -- Input (names, tensors, count).
-    -> Ptr CString -> Ptr Tensor -> CInt  -- Output (names, tensors, count).
-    -> Ptr CString -> CInt                -- Target nodes (names, count).
-    -> BufferPtr                          -- RunMetadata proto.
+    -> BufferPtr                       -- RunOptions proto.
+    -> OutputPtr -> Ptr Tensor -> CInt -- Input (names, tensors, count).
+    -> OutputPtr -> Ptr Tensor -> CInt -- Output (names, tensors, count).
+    -> Ptr Operation           -> CInt -- Target operations (ops, count).
+    -> BufferPtr                       -- RunMetadata proto.
     -> Status
     -> IO ()
-run = {# call TF_Run as ^ #}
+run = {# call TF_SessionRun as ^ #}
 
 -- FFI helpers.
 type TensorDeallocFn = Ptr () -> CULong -> Ptr () -> IO ()
@@ -170,6 +231,3 @@ foreign import ccall "wrapper"
 -- in this address space.
 getAllOpList :: IO BufferPtr
 getAllOpList = {# call TF_GetAllOpList as ^ #}
-
-foreign import ccall "&TF_DeleteBuffer"
-  deleteBuffer :: FunPtr (BufferPtr -> IO ())

tensorflow/src/TensorFlow/Output.hs

@@ -121,7 +121,7 @@ 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, "" :: String)] <- read ixStr
-                         -> Output (fromInteger ix) $ assigned n
+        (n, ':':ixStr) | ix <- read ixStr
+          -> Output (fromInteger ix) $ assigned n
         _ -> Output 0 $ assigned s
      where assigned = NodeName . Text.pack

tensorflow/src/TensorFlow/Session.hs

@@ -55,7 +55,7 @@ import Proto.Tensorflow.Core.Framework.Graph_Fields (node)
 import Proto.Tensorflow.Core.Protobuf.Config (ConfigProto)
 import TensorFlow.Build
 import TensorFlow.Nodes
-import TensorFlow.Output (NodeName, unNodeName)
+import TensorFlow.Output (NodeName(..), unNodeName)
 import TensorFlow.Tensor
 
 import qualified Data.ByteString.Builder as Builder
@@ -67,13 +67,13 @@ import qualified TensorFlow.Internal.FFI as FFI
 type Tracer = Builder.Builder -> IO ()
 
 -- Common state threaded through the session.
-data SessionState
-    = SessionState {
-          rawSession :: FFI.Session
-        , asyncCollector :: IO () -> IO ()
-          -- ^ Starts the given action concurrently.
-        , tracer :: Tracer
-        }
+data SessionState = SessionState
+    { rawSession :: FFI.Session
+    , rawGraph :: FFI.Graph
+    , asyncCollector :: IO () -> IO ()
+      -- ^ Starts the given action concurrently.
+    , tracer :: Tracer
+    }
 
 newtype SessionT m a
     = Session (ReaderT SessionState (BuildT m) a)
@@ -120,14 +120,23 @@ sessionTracer = lens _sessionTracer (\g x -> g { _sessionTracer = x })
 -- | Run 'Session' actions in a new TensorFlow session created with
 -- the given option setter actions ('sessionTarget', 'sessionConfig').
 runSessionWithOptions :: (MonadMask m, MonadIO m) => Options -> SessionT m a -> m a
-runSessionWithOptions options (Session m) =
-    FFI.withSession applyOptions $
-        \as rs ->
-            let initState = SessionState rs as (options ^. sessionTracer)
+runSessionWithOptions options session =
+    _runSessionWithOptions session options $ FFI.withSession
+
+_runSessionWithOptions :: (MonadMask m, MonadIO m)
+                       => SessionT m a
+                       -> Options
+                       -> ((FFI.SessionOptions -> IO ()) -> FFI.SessionAction m a -> m a)
+                       -> m a
+_runSessionWithOptions (Session m) options withSession =
+    withSession applyOptions $
+        \ac rSession rGraph ->
+            let initState = SessionState rSession rGraph ac (options ^. sessionTracer)
             in evalBuildT (runReaderT m initState)
-  where applyOptions opt = do
-            FFI.setSessionTarget (options ^. sessionTarget) opt
-            FFI.setSessionConfig (options ^. sessionConfig) opt
+  where
+    applyOptions opt = do
+        FFI.setSessionTarget (options ^. sessionTarget) opt
+        FFI.setSessionConfig (options ^. sessionConfig) opt
 
 instance Monad m => MonadBuild (SessionT m) where
     build = Session . lift . build
@@ -139,16 +148,17 @@ instance Monad m => MonadBuild (SessionT m) where
 extend :: MonadIO m => SessionT m ()
 extend = do
     session <- Session (asks rawSession)
+    graph <- Session (asks rawGraph)
     trace <- Session (asks tracer)
     nodesToExtend <- build flushNodeBuffer
     unless (null nodesToExtend) $ liftIO $ do
         let graphDef = (defMessage :: GraphDef) & node .~ nodesToExtend
         trace ("Session.extend " <> Builder.string8 (showMessage graphDef))
-        FFI.extendGraph session graphDef
+        FFI.extendGraph graph graphDef
     -- Now that all the nodes are created, run the initializers.
     initializers <- build flushInitializers
     unless (null initializers) $
-        void $ liftIO $ FFI.run session [] [] (toNodeNames initializers)
+        void $ liftIO $ FFI.run session graph [] [] (toNodeNames initializers)
 
 -- | Run a subgraph 't', rendering any dependent nodes that aren't already
 -- rendered, and fetch the corresponding values for 'a'.
@@ -173,8 +183,9 @@ runFetchWithFeeds feeds target (Fetch fetch restore) = do
     let feeds' = fixFeeds feeds
     let fetchNames = encodeUtf8 <$> Set.toList fetch
         targetNames = toNodeNames $ Set.toList target
-    session <- Session (asks rawSession)
-    runResult <- liftIO $ FFI.run session
+    state <- Session ask
+    runResult <- liftIO $ FFI.run (rawSession state)
+                                  (rawGraph   state)
                                   feeds'
                                   fetchNames
                                   targetNames
@@ -214,5 +225,5 @@ asyncProdNodes nodes = do
     extend
     let targetNames = toNodeNames $ Set.toList target
     state <- Session ask
-    let loop = forever (void (FFI.run (rawSession state) [] [] targetNames))
+    let loop = forever (void (FFI.run (rawSession state) (rawGraph state) [] [] targetNames))
     liftIO (asyncCollector state loop)