mirror of
https://github.com/tensorflow/haskell.git
synced 2024-12-26 19:49:46 +01:00
88 lines
3.7 KiB
Haskell
88 lines
3.7 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.
|
|
|
|
{-# LANGUAGE RankNTypes #-}
|
|
{-# LANGUAGE ScopedTypeVariables #-}
|
|
|
|
-- | Tests for EmbeddingOps.
|
|
module Main where
|
|
|
|
import Data.Int (Int32, Int64)
|
|
import Data.List (genericLength)
|
|
import Google.Test (googleTest)
|
|
import TensorFlow.EmbeddingOps (embeddingLookup)
|
|
import Test.Framework.Providers.QuickCheck2 (testProperty)
|
|
import Test.HUnit ((@=?))
|
|
import Test.QuickCheck (Arbitrary(..), Property, choose, vectorOf)
|
|
import Test.QuickCheck.Monadic (monadicIO, run)
|
|
|
|
import qualified Data.Vector as V
|
|
import qualified TensorFlow.GenOps.Core as CoreOps
|
|
import qualified TensorFlow.Ops as TF
|
|
import qualified TensorFlow.Session as TF
|
|
import qualified TensorFlow.Tensor as TF
|
|
import qualified TensorFlow.Types as TF
|
|
|
|
-- Verifies that direct gather is the same as dynamic split into
|
|
-- partitions, followed by embedding lookup.
|
|
testEmbeddingLookupUndoesSplit :: forall a. (TF.TensorType a, Show a, Eq a)
|
|
=> LookupExample a -> Property
|
|
testEmbeddingLookupUndoesSplit
|
|
(LookupExample numParts
|
|
shape@(TF.Shape (firstDim : restDims))
|
|
values
|
|
indices) =
|
|
let modShardedValues :: [TF.Tensor TF.Value a] =
|
|
CoreOps.dynamicPartition numParts shapedValues cyclicCounter
|
|
cyclicCounter :: TF.Tensor TF.Value Int32 =
|
|
TF.vector [0..fromIntegral firstDim-1]
|
|
`CoreOps.mod` fromIntegral numParts
|
|
indicesVector = TF.vector indices
|
|
directs = CoreOps.gather shapedValues indicesVector
|
|
shapedValues = TF.constant shape values
|
|
in monadicIO $ run $ do
|
|
(shapeOut, got, want :: V.Vector a) <-
|
|
TF.runSession $ TF.buildAnd TF.run $ do
|
|
embeddings <- embeddingLookup modShardedValues indicesVector
|
|
return (TF.cast (TF.shape embeddings), embeddings, directs)
|
|
-- Checks the explicitly documented invariant of embeddingLookup.
|
|
shapeOut @=? V.fromList (genericLength indices : restDims)
|
|
got @=? want
|
|
testEmbeddingLookupUndoesSplit _ = error "Bug in Arbitrary (LookupExample)"
|
|
|
|
-- | Consistent set of parameters for EmbeddingLookupUndoesSplit.
|
|
data LookupExample a = LookupExample
|
|
Int64 -- ^ number of ways to split.
|
|
TF.Shape -- ^ shape of the generated tensor
|
|
[a] -- ^ data for the tensor
|
|
[Int32] -- ^ indices to split the tensor by
|
|
deriving Show
|
|
|
|
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)
|
|
shape@(firstDim : _) <- vectorOf rank (choose (1, maxDim))
|
|
values <- vectorOf (fromIntegral $ product shape) arbitrary
|
|
numParts <- choose (2, 15)
|
|
indSize <- choose (0, fromIntegral $ firstDim - 1)
|
|
indices <- vectorOf indSize (choose (0, fromIntegral firstDim - 1))
|
|
return $ LookupExample numParts (TF.Shape shape) values indices
|
|
|
|
main :: IO ()
|
|
main = googleTest
|
|
[ testProperty "EmbeddingLookupUndoesSplit"
|
|
(testEmbeddingLookupUndoesSplit :: LookupExample Double -> Property)
|
|
]
|