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In addition, you can now fetch TensorData directly. This might be useful in scenarios where you feed the result of a computation back in, like RNN. Before: benchmarking feedFetch/4 byte time 83.31 μs (81.88 μs .. 84.75 μs) 0.997 R² (0.994 R² .. 0.998 R²) mean 87.32 μs (86.06 μs .. 88.83 μs) std dev 4.580 μs (3.698 μs .. 5.567 μs) variance introduced by outliers: 55% (severely inflated) benchmarking feedFetch/4 KiB time 114.9 μs (111.5 μs .. 118.2 μs) 0.996 R² (0.994 R² .. 0.998 R²) mean 117.3 μs (116.2 μs .. 118.6 μs) std dev 3.877 μs (3.058 μs .. 5.565 μs) variance introduced by outliers: 31% (moderately inflated) benchmarking feedFetch/4 MiB time 109.0 ms (107.9 ms .. 110.7 ms) 1.000 R² (0.999 R² .. 1.000 R²) mean 108.6 ms (108.2 ms .. 109.2 ms) std dev 740.2 μs (353.2 μs .. 1.186 ms) After: benchmarking feedFetch/4 byte time 82.92 μs (80.55 μs .. 85.24 μs) 0.996 R² (0.993 R² .. 0.998 R²) mean 83.58 μs (82.34 μs .. 84.89 μs) std dev 4.327 μs (3.664 μs .. 5.375 μs) variance introduced by outliers: 54% (severely inflated) benchmarking feedFetch/4 KiB time 85.69 μs (83.81 μs .. 87.30 μs) 0.997 R² (0.996 R² .. 0.999 R²) mean 86.99 μs (86.11 μs .. 88.15 μs) std dev 3.608 μs (2.854 μs .. 5.273 μs) variance introduced by outliers: 43% (moderately inflated) benchmarking feedFetch/4 MiB time 1.582 ms (1.509 ms .. 1.677 ms) 0.970 R² (0.936 R² .. 0.993 R²) mean 1.645 ms (1.554 ms .. 1.981 ms) std dev 490.6 μs (138.9 μs .. 1.067 ms) variance introduced by outliers: 97% (severely inflated)
191 lines
6.4 KiB
Haskell
191 lines
6.4 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 OverloadedStrings #-}
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{-# LANGUAGE OverloadedLists #-}
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{-# LANGUAGE ScopedTypeVariables #-}
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module Main where
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import Control.Monad.IO.Class (liftIO)
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import Data.Functor.Identity (runIdentity)
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import Lens.Family2 ((^.))
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import Data.List (sort)
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import Proto.Tensorflow.Core.Framework.Graph
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( node )
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import Proto.Tensorflow.Core.Framework.NodeDef
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( NodeDef
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, device
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, name
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, op )
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import TensorFlow.Build
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( Build
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, BuildT
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, asGraphDef
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, evalBuildT
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, flushNodeBuffer
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, hoistBuildT
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, render
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, withDevice
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, colocateWith
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, withNameScope
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)
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import TensorFlow.ControlFlow (named)
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import TensorFlow.Types (unScalar)
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import TensorFlow.Ops
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( add
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, assign
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, constant
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, initializedVariable
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, variable
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)
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import TensorFlow.Output (Device(..))
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import TensorFlow.Tensor (Tensor, Value, Ref)
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import TensorFlow.Session
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( build
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, buildAnd
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, run
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, runSession
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, run_
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)
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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 Google.Test (googleTest)
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import qualified Data.Vector as V
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-- | Test named behavior.
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testNamed :: Test
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testNamed = testCase "testNamed" $ do
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let graph = named "foo" <$> variable [] >>= render :: Build (Tensor Ref Float)
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nodeDef :: NodeDef
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nodeDef = head $ asGraphDef graph ^. node
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"RefIdentity" @=? (nodeDef ^. op)
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"foo" @=? (nodeDef ^. name)
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-- | Test named deRef behavior.
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testNamedDeRef :: Test
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testNamedDeRef = testCase "testNamedDeRef" $ do
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let graph = named "foo" <$> do
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v :: Tensor Ref Float <- variable []
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assign v 5
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-- TODO: Implement TensorFlow get_variable and test it.
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runSession $ do
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out <- buildAnd run graph
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liftIO $ 5 @=? (unScalar out :: Float)
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-- | Test that "run" will render and extend any pure ops that haven't already
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-- been rendered.
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testPureRender :: Test
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testPureRender = testCase "testPureRender" $ runSession $ do
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result <- run $ 2 `add` 2
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liftIO $ 4 @=? (unScalar result :: Float)
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-- | Test that "run" assigns any previously accumulated initializers.
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testInitializedVariable :: Test
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testInitializedVariable =
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testCase "testInitializedVariable" $ runSession $ do
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(formula, reset) <- build $ do
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v <- initializedVariable 42
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r <- assign v 24
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return (1 `add` v, r)
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result <- run formula
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liftIO $ 43 @=? (unScalar result :: Float)
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run_ reset -- Updates v to a different value
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rerunResult <- run formula
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liftIO $ 25 @=? (unScalar rerunResult :: Float)
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testInitializedVariableShape :: Test
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testInitializedVariableShape =
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testCase "testInitializedVariableShape" $ runSession $ do
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vector <- build $ initializedVariable (constant [1] [42 :: Float])
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result <- run vector
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liftIO $ [42] @=? (result :: V.Vector Float)
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-- | Test nameScoped behavior.
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testNameScoped :: Test
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testNameScoped = testCase "testNameScoped" $ do
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let graph = withNameScope "foo" $ variable [] :: Build (Tensor Ref Float)
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nodeDef :: NodeDef
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[nodeDef] = asGraphDef graph ^. node
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"foo/Variable_0" @=? (nodeDef ^. name) -- TODO: Check prefix.
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"Variable" @=? (nodeDef ^. op)
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-- | Test combined named and nameScoped behavior.
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testNamedAndScoped :: Test
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testNamedAndScoped = testCase "testNamedAndScoped" $ do
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let graph :: Build (Tensor Ref Float)
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graph = withNameScope "foo1" ((named "bar1" <$> variable []) >>= render)
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nodeDef :: NodeDef
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nodeDef = head $ asGraphDef graph ^. node
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"RefIdentity" @=? (nodeDef ^. op)
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"foo1/bar1" @=? (nodeDef ^. name)
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-- | Lift a Build action into a context for HUnit to run.
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liftBuild :: Build a -> BuildT IO a
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liftBuild = hoistBuildT (return . runIdentity)
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-- | Flush the node buffer and sort the nodes by name (for more stable tests).
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flushed :: Ord a => (NodeDef -> a) -> BuildT IO [a]
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flushed field = sort . map field <$> liftBuild flushNodeBuffer
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-- | Test the interaction of rendering, CSE and scoping.
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testRenderDedup :: Test
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testRenderDedup = testCase "testRenderDedup" $ evalBuildT $ do
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liftBuild renderNodes
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names <- flushed (^. name)
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liftIO $ ["Const_1", "Variable_0", "Variable_2"] @=? names
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-- Render the nodes in a different scope, which should cause them
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-- to be distinct from the previous ones.
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liftBuild $ withNameScope "foo" renderNodes
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scopedNames <- flushed (^. name)
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liftIO $ ["foo/Const_4", "foo/Variable_3", "foo/Variable_5"] @=? scopedNames
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where
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renderNodes = do
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-- A stateful op and a pure op.
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_ :: Tensor Ref Float <- variable []
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_ :: Tensor Value Float <- render 3
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-- Another stateful op, and a pure op which should be
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-- deduped with the previous one.
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_ :: Tensor Ref Float <- variable []
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_ :: Tensor Value Float <- render 3
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return ()
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-- | Test the interaction of rendering, CSE and scoping.
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testDeviceColocation :: Test
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testDeviceColocation = testCase "testDeviceColocation" $ evalBuildT $ do
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liftBuild renderNodes
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devices <- flushed (\x -> (x ^. name, x ^. device))
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liftIO $ [ ("Add_2","dev0")
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, ("Const_1","dev0")
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, ("Variable_0","dev0")] @=? devices
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where
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renderNodes = do
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-- A stateful op and a pure op.
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var :: Tensor Ref Float <- withDevice (Just $ Device "dev0") $ variable []
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-- Uses render to cause the expression be added to the graph.
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_ <- colocateWith var $ render $ 3 `add` var
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return ()
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main :: IO ()
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main = googleTest [ testInitializedVariable
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, testInitializedVariableShape
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, testDeviceColocation
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, testNamed
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, testNamedDeRef
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, testNameScoped
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, testNamedAndScoped
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, testPureRender
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, testRenderDedup
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]
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