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tensorflow-haskell/tensorflow-core-ops/Setup.hs
Greg Steuck c430e54c3c Uprev tensorflow. (#33)
* No longer need to hide ResourceHandle ops
* Blacklisted not supported TensorArrayV2
* Ownership of feed tensors changed (1f0c5119a0230c5160d45496175b9256f097e144)
2016-11-16 21:16:20 -08:00

103 lines
3.6 KiB
Haskell

-- 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.
-- | Generates the wrappers for Ops shipped with tensorflow_c.
module Main where
import Distribution.Simple.BuildPaths (autogenModulesDir)
import Distribution.Simple.LocalBuildInfo (LocalBuildInfo)
import Distribution.Simple
( defaultMainWithHooks
, simpleUserHooks
, UserHooks(..)
)
import Data.List (intercalate)
import Data.ProtoLens (decodeMessage)
import System.Directory (createDirectoryIfMissing)
import System.Exit (exitFailure)
import System.FilePath ((</>))
import System.IO (hPutStrLn, stderr)
import TensorFlow.Internal.FFI (getAllOpList)
import TensorFlow.OpGen (docOpList, OpGenFlags(..))
import Text.PrettyPrint.Mainland (prettyLazyText)
import qualified Data.Text.Lazy.IO as Text
main = defaultMainWithHooks generatingOpsWrappers
-- TODO: Generalize for user libraries by replacing getAllOpList with
-- a wrapper around TF_LoadLibrary. The complicated part is interplay
-- between bazel and Haskell build system.
generatingOpsWrappers :: UserHooks
generatingOpsWrappers = hooks
{ buildHook = \p l h f -> generateSources l >> buildHook hooks p l h f
, haddockHook = \p l h f -> generateSources l >> haddockHook hooks p l h f
, replHook = \p l h f args -> generateSources l
>> replHook hooks p l h f args
}
where
flagsBuilder dir = OpGenFlags
{ outputFile = dir </> "Core.hs"
, prefix = "TensorFlow.GenOps"
, excludeList = intercalate "," blackList
}
hooks = simpleUserHooks
generateSources :: LocalBuildInfo -> IO ()
generateSources l = do
let dir = autogenModulesDir l </> "TensorFlow/GenOps"
createDirectoryIfMissing True dir
let flags = flagsBuilder dir
pb <- getAllOpList
case decodeMessage pb of
Left e -> hPutStrLn stderr e >> exitFailure
Right x -> Text.writeFile (outputFile flags)
(prettyLazyText 80 $ docOpList flags x)
blackList =
-- A few data flow ops take a list of heterogeneous
-- parameters which we don't support in general form.
[ "HashTable"
, "MutableDenseHashTable"
, "MutableHashTable"
, "MutableHashTableOfTensors"
, "QueueDequeue"
, "QueueDequeueMany"
, "QueueDequeueUpTo"
, "Stack"
, "TensorArray"
, "TensorArrayV2"
-- These should be possible to support by adding a bunch of
-- overloads with a variable number of tuple arguments.
, "Assert"
, "BarrierTakeMany"
, "Print"
, "QueueEnqueue"
, "QueueEnqueueMany"
-- These have type ambiguities because one of the type arguments
-- doesn't appear in the signature.
, "ConditionalAccumulator"
, "SparseConditionalAccumulator"
-- Need list of types support.
, "DecodeCSV"
, "ParseExample"
, "ParseSingleSequenceExample"
, "RestoreV2"
, "Save"
, "SaveV2"
, "SaveSlices"
, "SymbolicGradient"
, "_ArrayToList"
, "_ListToArray"
-- Easy: support larger result tuples.
, "Skipgram"
]