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Add gradient for sqrt function (#236)
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2 changed files with 16 additions and 2 deletions
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@ -813,6 +813,10 @@ opGrad "Placeholder" _ _ _ = []
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opGrad "VarHandleOp" _ _ _ = []
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opGrad "Variable" _ _ _ = []
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opGrad "Sqrt" _ [toT -> x] [dz] = [Just $ sq' `CoreOps.mul` dz]
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where
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sq' = scalar 1 `CoreOps.div` (scalar 2 `CoreOps.mul` CoreOps.sqrt x)
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opGrad n nodeDef ins grads =
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error $ "no gradient implemented for " ++
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show (n, length ins, length grads, showMessage nodeDef, ins)
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@ -863,6 +867,7 @@ numOutputs o =
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"SparseSegmentSum" -> 1
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"Square" -> 1
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"Squeeze" -> 1
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"Sqrt" -> 1
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"Sub" -> 1
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"Sum" -> 1
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"Tanh" -> 1
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@ -32,7 +32,7 @@ import Control.Monad(forM_, replicateM, zipWithM)
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import Control.Monad.IO.Class (liftIO)
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import qualified TensorFlow.Core as TF
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import qualified TensorFlow.GenOps.Core as TF (conv2DBackpropInput', max, maximum, tile, pad, batchToSpaceND, spaceToBatchND, squeeze)
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import qualified TensorFlow.GenOps.Core as TF (conv2DBackpropInput', max, maximum, tile, pad, batchToSpaceND, spaceToBatchND, squeeze, sqrt)
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import qualified TensorFlow.Gradient as TF
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import qualified TensorFlow.Ops as TF hiding (zeroInitializedVariable)
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import qualified TensorFlow.Output as TF
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@ -324,6 +324,14 @@ testPad =
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V.fromList [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] @=? dx
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V.fromList [2, 2, 3] @=? s
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testSqrt :: Test
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testSqrt = testCase "testSqrt" $ do
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[dx] <- TF.runSession $ do
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x <- TF.render $ TF.vector [0.0625 :: Float]
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let y = TF.sqrt x
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TF.gradients y [x] >>= TF.run
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V.fromList [2] @=? dx
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testBatchToSpaceND :: Test
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testBatchToSpaceND =
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testCase "testBatchToSpaceND" $ do
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@ -517,6 +525,7 @@ main = defaultMain
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, testExpandDims
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, testReshape
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, testPad
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, testSqrt
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, testBatchToSpaceND
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, testSpaceToBatchND
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, testSqueeze
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@ -530,4 +539,4 @@ main = defaultMain
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, matMulTransposeGradient (True, False)
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, matMulTransposeGradient (True, True)
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, testConv2DBackpropInputGrad
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]
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]
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