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2c5c879037
This change adds a class that both `Build` and `Session` are instances of:
class MonadBuild m where
build :: Build a -> m a
All stateful ops (generated and manually written) now have a signature that returns
an instance of `MonadBuild` (rather than just `Build`). For example:
assign_ :: (MonadBuild m, TensorType t)
=> Tensor Ref t -> Tensor v t -> m (Tensor Ref t)
This lets us remove a bunch of spurious calls to `build` in user code. It also
lets us replace the pattern `buildAnd run foo` with the simpler pattern `foo >>= run`
(or `run =<< foo`, which is sometimes nicer when foo is a complicated expression).
I went ahead and deleted `buildAnd` altogether since it seems to lead to
confusion; in particular a few tests had `buildAnd run . pure` which is
actually equivalent to just `run`.
67 lines
2.7 KiB
Haskell
67 lines
2.7 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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{-# LANGUAGE FlexibleContexts #-}
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{-# LANGUAGE ScopedTypeVariables #-}
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import Data.Int (Int32, Int64)
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import Data.List (genericLength)
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import Google.Test (googleTest)
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import Test.Framework.Providers.QuickCheck2 (testProperty)
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import Test.HUnit ((@=?))
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import Test.QuickCheck (Arbitrary(..), Property, choose, vectorOf)
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import Test.QuickCheck.Monadic (monadicIO, run)
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import qualified Data.Vector as V
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import qualified TensorFlow.GenOps.Core as CoreOps
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import qualified TensorFlow.Ops as TF
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import qualified TensorFlow.Session as TF
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import qualified TensorFlow.Tensor as TF
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import qualified TensorFlow.Types as TF
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-- DynamicSplit is undone with DynamicStitch to get the original input
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-- back.
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testDynamicPartitionStitchInverse :: forall a.
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(TF.TensorDataType V.Vector a, Show a, Eq a) => StitchExample a -> Property
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testDynamicPartitionStitchInverse (StitchExample numParts values partitions) =
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let splitParts :: [TF.Tensor TF.Value a] =
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CoreOps.dynamicPartition numParts (TF.vector values) partTensor
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partTensor = TF.vector partitions
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restitchIndices = CoreOps.dynamicPartition numParts
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(TF.vector [0..genericLength values-1])
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partTensor
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-- drop (numParts - 2) from both args to expose b/27343984
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restitch = CoreOps.dynamicStitch restitchIndices splitParts
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in monadicIO $ run $ do
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fromIntegral numParts @=? length splitParts
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valuesOut <- TF.runSession $ TF.run restitch
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V.fromList values @=? valuesOut
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data StitchExample a = StitchExample Int64 [a] [Int32]
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deriving Show
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instance Arbitrary a => Arbitrary (StitchExample a) where
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arbitrary = do
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-- Limits the size of the vector.
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size <- choose (1, 100)
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values <- vectorOf size arbitrary
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numParts <- choose (2, 15)
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partitions <- vectorOf size (choose (0, fromIntegral numParts - 1))
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return $ StitchExample numParts values partitions
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main :: IO ()
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main = googleTest
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[ testProperty "DynamicPartitionStitchInverse"
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(testDynamicPartitionStitchInverse :: StitchExample Int64 -> Property)
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]
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