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https://github.com/tensorflow/haskell.git
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a277c7ddb3
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.
54 lines
2 KiB
Haskell
54 lines
2 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 OverloadedLists #-}
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module Main where
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import Control.Monad.IO.Class (liftIO)
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import Data.Int (Int64)
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import Google.Test (googleTest)
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import Test.Framework (Test)
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import Test.Framework.Providers.HUnit (testCase)
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import Test.HUnit ((@=?))
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import qualified Data.Vector as V
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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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import qualified TensorFlow.GenOps.Core as CoreOps
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-- | Test split and concat are inverses.
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testSplit :: Test
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testSplit = testCase "testSplit" $ TF.runSession $ do
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let original = TF.constant [2, 3] [0..5 :: Float]
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splitList = CoreOps.split 3 dim original
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restored = CoreOps.concat dim splitList
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dim = 1 -- dimension to split along (with size of 3 in original)
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liftIO $ 3 @=? length splitList
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(x, y, z) <- TF.run (original, restored, splitList !! 1)
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liftIO $ x @=? (y :: V.Vector Float)
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liftIO $ V.fromList [1, 4] @=? z
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testShapeN :: Test
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testShapeN = testCase "testShapeN" $ TF.runSession $ do
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let shapes = map TF.Shape [[1],[2,3]]
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let tensors = map TF.zeros shapes :: [TF.Tensor TF.Value Float]
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result <- TF.run $ CoreOps.shapeN tensors
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liftIO $ [V.fromList [1], V.fromList [2,3]] @=? (result :: [V.Vector Int64])
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main :: IO ()
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main = googleTest [ testSplit
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, testShapeN
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]
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