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tensorflow-haskell/tensorflow-ops/tests/VariableTest.hs
fkm3 e35211d49b Fix initialized variables for tensorflow 1.7 (#184)
* Fix initialized variables for tensorflow 1.7

This is needed to support tensorflow 1.7. The trick of initializing a
variable with `Shape []` and then overriding the shape by assigning an
initial value no longer works. It seems that we need to explicitly flip
the unknown_rank bit in the shape proto.

I thought about switching opgen to use `Maybe Shape` when an op requires
a shape attribute, but that will cause a lot of api churn, so I chose to
hold off for now and just do a spot fix to unblock 1.7.
2018-04-16 07:48:05 -07:00

99 lines
3.2 KiB
Haskell

{-# LANGUAGE OverloadedLists #-}
module Main (main) where
import Data.Int (Int32)
import Data.Maybe (isJust)
import Control.Monad (when)
import Control.Monad.IO.Class (liftIO)
import qualified Data.Vector.Storable as V
import TensorFlow.Core
( unScalar
, render
, run_
, runSession
, run
, withControlDependencies)
import qualified TensorFlow.Ops as Ops
import TensorFlow.Variable
( Variable
, readValue
, initializedValue
, initializedVariable
, assign
, assignAdd
, variable
)
import Test.Framework (defaultMain, Test)
import Test.Framework.Providers.HUnit (testCase)
import Test.HUnit ((@=?), assertFailure)
main :: IO ()
main = defaultMain
[ testInitializedVariable
, testInitializedVariableShape
, testInitializedValue
, testDependency
, testRereadRef
, testAssignAdd
]
testInitializedVariable :: Test
testInitializedVariable =
testCase "testInitializedVariable" $ runSession $ do
(formula, reset) <- do
v <- initializedVariable 42
r <- assign v 24
return (1 + readValue v, r)
result <- run formula
liftIO $ 43 @=? (unScalar result :: Float)
run_ reset -- Updates v to a different value
rerunResult <- run formula
liftIO $ 25 @=? (unScalar rerunResult :: Float)
testInitializedVariableShape :: Test
testInitializedVariableShape =
testCase "testInitializedVariableShape" $ runSession $ do
vector <- initializedVariable (Ops.constant [1] [42 :: Float])
result <- run (readValue vector)
liftIO $ [42] @=? (result :: V.Vector Float)
s <- run (Ops.shape (readValue vector))
liftIO $ [1] @=? (s :: V.Vector Int32)
testInitializedValue :: Test
testInitializedValue =
testCase "testInitializedValue" $ runSession $ do
initialized <- initializedVariable (Ops.constant [1] [42 :: Float])
result <- run (initializedValue initialized)
liftIO $ Just [42] @=? (result :: Maybe (V.Vector Float))
uninitialized <- variable [1]
-- Can't use @=? because there is no Show instance for Tensor.
when (isJust (initializedValue (uninitialized :: Variable Float))) $
liftIO $ assertFailure "initializedValue should be Nothing, got Just"
testDependency :: Test
testDependency =
testCase "testDependency" $ runSession $ do
v <- variable []
a <- assign v 24
r <- withControlDependencies a $ render (readValue v + 18)
result <- run r
liftIO $ (42 :: Float) @=? unScalar result
-- | See https://github.com/tensorflow/haskell/issues/92.
-- Even though we're not explicitly evaluating `f0` until the end,
-- it should hold the earlier value of the variable.
testRereadRef :: Test
testRereadRef = testCase "testReRunAssign" $ runSession $ do
w <- initializedVariable 0
f0 <- run (readValue w)
run_ =<< assign w (Ops.scalar (0.1 :: Float))
f1 <- run (readValue w)
liftIO $ (0.0, 0.1) @=? (unScalar f0, unScalar f1)
testAssignAdd :: Test
testAssignAdd = testCase "testAssignAdd" $ runSession $ do
w <- initializedVariable 42
run_ =<< assignAdd w 17
f1 <- run (readValue w)
liftIO $ (42 + 17 :: Float) @=? unScalar f1