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tensorflow-haskell/tensorflow-ops/tests/ArrayOpsTest.hs
Judah Jacobson a277c7ddb3 Refactor OpGen. (#36)
Also fixes op lists when the same attribute specifies the length of
both an input and an output.  I added a test of "shapeN" which
previously failed with the following error:

    ERROR: Ran out of counts in toResult. Likely misuse of buildListOp.
2016-11-20 10:00:22 -08:00

54 lines
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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 OverloadedLists #-}
module Main where
import Control.Monad.IO.Class (liftIO)
import Data.Int (Int64)
import Google.Test (googleTest)
import Test.Framework (Test)
import Test.Framework.Providers.HUnit (testCase)
import Test.HUnit ((@=?))
import qualified Data.Vector as V
import qualified TensorFlow.Ops as TF
import qualified TensorFlow.Session as TF
import qualified TensorFlow.Tensor as TF
import qualified TensorFlow.Types as TF
import qualified TensorFlow.GenOps.Core as CoreOps
-- | Test split and concat are inverses.
testSplit :: Test
testSplit = testCase "testSplit" $ TF.runSession $ do
let original = TF.constant [2, 3] [0..5 :: Float]
splitList = CoreOps.split 3 dim original
restored = CoreOps.concat dim splitList
dim = 1 -- dimension to split along (with size of 3 in original)
liftIO $ 3 @=? length splitList
(x, y, z) <- TF.run (original, restored, splitList !! 1)
liftIO $ x @=? (y :: V.Vector Float)
liftIO $ V.fromList [1, 4] @=? z
testShapeN :: Test
testShapeN = testCase "testShapeN" $ TF.runSession $ do
let shapes = map TF.Shape [[1],[2,3]]
let tensors = map TF.zeros shapes :: [TF.Tensor TF.Value Float]
result <- TF.run $ CoreOps.shapeN tensors
liftIO $ [V.fromList [1], V.fromList [2,3]] @=? (result :: [V.Vector Int64])
main :: IO ()
main = googleTest [ testSplit
, testShapeN
]