mirror of
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c430e54c3c
* No longer need to hide ResourceHandle ops * Blacklisted not supported TensorArrayV2 * Ownership of feed tensors changed (1f0c5119a0230c5160d45496175b9256f097e144)
103 lines
3.6 KiB
Haskell
103 lines
3.6 KiB
Haskell
-- Copyright 2016 TensorFlow authors.
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--
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-- Licensed under the Apache License, Version 2.0 (the "License");
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-- you may not use this file except in compliance with the License.
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-- You may obtain a copy of the License at
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--
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-- http://www.apache.org/licenses/LICENSE-2.0
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--
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-- Unless required by applicable law or agreed to in writing, software
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-- distributed under the License is distributed on an "AS IS" BASIS,
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-- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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-- See the License for the specific language governing permissions and
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-- limitations under the License.
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-- | Generates the wrappers for Ops shipped with tensorflow_c.
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module Main where
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import Distribution.Simple.BuildPaths (autogenModulesDir)
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import Distribution.Simple.LocalBuildInfo (LocalBuildInfo)
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import Distribution.Simple
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( defaultMainWithHooks
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, simpleUserHooks
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, UserHooks(..)
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)
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import Data.List (intercalate)
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import Data.ProtoLens (decodeMessage)
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import System.Directory (createDirectoryIfMissing)
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import System.Exit (exitFailure)
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import System.FilePath ((</>))
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import System.IO (hPutStrLn, stderr)
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import TensorFlow.Internal.FFI (getAllOpList)
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import TensorFlow.OpGen (docOpList, OpGenFlags(..))
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import Text.PrettyPrint.Mainland (prettyLazyText)
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import qualified Data.Text.Lazy.IO as Text
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main = defaultMainWithHooks generatingOpsWrappers
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-- TODO: Generalize for user libraries by replacing getAllOpList with
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-- a wrapper around TF_LoadLibrary. The complicated part is interplay
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-- between bazel and Haskell build system.
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generatingOpsWrappers :: UserHooks
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generatingOpsWrappers = hooks
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{ buildHook = \p l h f -> generateSources l >> buildHook hooks p l h f
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, haddockHook = \p l h f -> generateSources l >> haddockHook hooks p l h f
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, replHook = \p l h f args -> generateSources l
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>> replHook hooks p l h f args
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}
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where
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flagsBuilder dir = OpGenFlags
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{ outputFile = dir </> "Core.hs"
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, prefix = "TensorFlow.GenOps"
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, excludeList = intercalate "," blackList
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}
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hooks = simpleUserHooks
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generateSources :: LocalBuildInfo -> IO ()
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generateSources l = do
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let dir = autogenModulesDir l </> "TensorFlow/GenOps"
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createDirectoryIfMissing True dir
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let flags = flagsBuilder dir
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pb <- getAllOpList
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case decodeMessage pb of
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Left e -> hPutStrLn stderr e >> exitFailure
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Right x -> Text.writeFile (outputFile flags)
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(prettyLazyText 80 $ docOpList flags x)
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blackList =
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-- A few data flow ops take a list of heterogeneous
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-- parameters which we don't support in general form.
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[ "HashTable"
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, "MutableDenseHashTable"
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, "MutableHashTable"
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, "MutableHashTableOfTensors"
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, "QueueDequeue"
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, "QueueDequeueMany"
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, "QueueDequeueUpTo"
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, "Stack"
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, "TensorArray"
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, "TensorArrayV2"
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-- These should be possible to support by adding a bunch of
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-- overloads with a variable number of tuple arguments.
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, "Assert"
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, "BarrierTakeMany"
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, "Print"
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, "QueueEnqueue"
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, "QueueEnqueueMany"
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-- These have type ambiguities because one of the type arguments
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-- doesn't appear in the signature.
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, "ConditionalAccumulator"
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, "SparseConditionalAccumulator"
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-- Need list of types support.
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, "DecodeCSV"
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, "ParseExample"
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, "ParseSingleSequenceExample"
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, "RestoreV2"
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, "Save"
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, "SaveV2"
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, "SaveSlices"
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, "SymbolicGradient"
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, "_ArrayToList"
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, "_ListToArray"
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-- Easy: support larger result tuples.
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, "Skipgram"
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]
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