-- Hoogle documentation, generated by Haddock
-- See Hoogle, http://www.haskell.org/hoogle/


-- | Haskell wrappers for Core Tensorflow Ops.
--   
--   Code generated signatures for the Ops in libtensorflow.
@package tensorflow-core-ops
@version 0.3.0.0

module TensorFlow.GenOps.Core

abort :: forall m'. MonadBuild m' => m' ControlNode
abort' :: forall m'. MonadBuild m' => OpParams -> m' ControlNode

abs :: forall v'1 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
abs' :: forall v'1 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

accumulateNV2 :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Shape -> [Tensor v'1 t] -> Tensor Build t
accumulateNV2' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Shape -> [Tensor v'1 t] -> Tensor Build t

accumulatorApplyGradient :: forall v'2 v'3 dtype m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype) => Tensor Ref ByteString -> Tensor v'2 Int64 -> Tensor v'3 dtype -> m' ControlNode
accumulatorApplyGradient' :: forall v'2 v'3 dtype m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype) => OpParams -> Tensor Ref ByteString -> Tensor v'2 Int64 -> Tensor v'3 dtype -> m' ControlNode

accumulatorNumAccumulated :: forall m'. MonadBuild m' => Tensor Ref ByteString -> m' (Tensor Value Int32)
accumulatorNumAccumulated' :: forall m'. MonadBuild m' => OpParams -> Tensor Ref ByteString -> m' (Tensor Value Int32)

accumulatorSetGlobalStep :: forall v'2 m'. MonadBuild m' => Tensor Ref ByteString -> Tensor v'2 Int64 -> m' ControlNode
accumulatorSetGlobalStep' :: forall v'2 m'. MonadBuild m' => OpParams -> Tensor Ref ByteString -> Tensor v'2 Int64 -> m' ControlNode

accumulatorTakeGradient :: forall v'2 dtype m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype) => Tensor Ref ByteString -> Tensor v'2 Int32 -> m' (Tensor Value dtype)
accumulatorTakeGradient' :: forall v'2 dtype m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype) => OpParams -> Tensor Ref ByteString -> Tensor v'2 Int32 -> m' (Tensor Value dtype)

acos :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
acos' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

acosh :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
acosh' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

add :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, ByteString, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
add' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, ByteString, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

addManySparseToTensorsMap :: forall v'1 v'2 v'3 t m'. (MonadBuild m', TensorType t) => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> m' (Tensor Value Int64)
addManySparseToTensorsMap' :: forall v'1 v'2 v'3 t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> m' (Tensor Value Int64)

addN :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float, Variant] t => [Tensor v'1 t] -> Tensor Build t
addN' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float, Variant] t => OpParams -> [Tensor v'1 t] -> Tensor Build t

addSparseToTensorsMap :: forall v'1 v'2 v'3 t m'. (MonadBuild m', TensorType t) => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> m' (Tensor Value Int64)
addSparseToTensorsMap' :: forall v'1 v'2 v'3 t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> m' (Tensor Value Int64)

addV2 :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
addV2' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

adjustContrast :: forall v'1 v'2 v'3 v'4 t. OneOf '[Int16, Int32, Int64, Int8, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor Build Float
adjustContrast' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Int16, Int32, Int64, Int8, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor Build Float

adjustContrastv2 :: forall v'1 v'2 t. OneOf '[Word16, Float] t => Tensor v'1 t -> Tensor v'2 Float -> Tensor Build t
adjustContrastv2' :: forall v'1 v'2 t. OneOf '[Word16, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Float -> Tensor Build t

adjustHue :: forall v'1 v'2 t. OneOf '[Word16, Float] t => Tensor v'1 t -> Tensor v'2 Float -> Tensor Build t
adjustHue' :: forall v'1 v'2 t. OneOf '[Word16, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Float -> Tensor Build t

adjustSaturation :: forall v'1 v'2 t. OneOf '[Word16, Float] t => Tensor v'1 t -> Tensor v'2 Float -> Tensor Build t
adjustSaturation' :: forall v'1 v'2 t. OneOf '[Word16, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Float -> Tensor Build t

all :: forall v'1 v'2 tidx. OneOf '[Int32, Int64] tidx => Tensor v'1 Bool -> Tensor v'2 tidx -> Tensor Build Bool
all' :: forall v'1 v'2 tidx. OneOf '[Int32, Int64] tidx => OpParams -> Tensor v'1 Bool -> Tensor v'2 tidx -> Tensor Build Bool

allCandidateSampler :: forall v'1 m'. MonadBuild m' => Int64 -> Int64 -> Bool -> Tensor v'1 Int64 -> m' (Tensor Value Int64, Tensor Value Float, Tensor Value Float)
allCandidateSampler' :: forall v'1 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Bool -> Tensor v'1 Int64 -> m' (Tensor Value Int64, Tensor Value Float, Tensor Value Float)

allToAll :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Bool, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Int64 -> Int64 -> Int64 -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor Build t
allToAll' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Bool, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Int64 -> Int64 -> Int64 -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor Build t

angle :: forall v'1 t tout. (OneOf '[Complex Double, Complex Float] t, OneOf '[Double, Float] tout) => Tensor v'1 t -> Tensor Build tout
angle' :: forall v'1 t tout. (OneOf '[Complex Double, Complex Float] t, OneOf '[Double, Float] tout) => OpParams -> Tensor v'1 t -> Tensor Build tout

anonymousIterator :: forall m'. MonadBuild m' => [DataType] -> m' (Tensor Value ResourceHandle)
anonymousIterator' :: forall m'. MonadBuild m' => OpParams -> [DataType] -> m' (Tensor Value ResourceHandle)

anonymousIteratorV2 :: forall m'. MonadBuild m' => [DataType] -> m' (Tensor Value ResourceHandle, Tensor Value Variant)
anonymousIteratorV2' :: forall m'. MonadBuild m' => OpParams -> [DataType] -> m' (Tensor Value ResourceHandle, Tensor Value Variant)

anonymousMemoryCache :: forall m'. MonadBuild m' => m' (Tensor Value ResourceHandle, Tensor Value Variant)
anonymousMemoryCache' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Value ResourceHandle, Tensor Value Variant)

anonymousMultiDeviceIterator :: forall m'. MonadBuild m' => [DataType] -> m' (Tensor Value ResourceHandle, Tensor Value Variant)
anonymousMultiDeviceIterator' :: forall m'. MonadBuild m' => OpParams -> [DataType] -> m' (Tensor Value ResourceHandle, Tensor Value Variant)

anonymousRandomSeedGenerator :: forall v'1 v'2 m'. MonadBuild m' => Tensor v'1 Int64 -> Tensor v'2 Int64 -> m' (Tensor Value ResourceHandle, Tensor Value Variant)
anonymousRandomSeedGenerator' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Tensor v'1 Int64 -> Tensor v'2 Int64 -> m' (Tensor Value ResourceHandle, Tensor Value Variant)

anonymousSeedGenerator :: forall v'1 v'2 v'3 m'. MonadBuild m' => Tensor v'1 Int64 -> Tensor v'2 Int64 -> Tensor v'3 Bool -> m' (Tensor Value ResourceHandle, Tensor Value Variant)
anonymousSeedGenerator' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Tensor v'1 Int64 -> Tensor v'2 Int64 -> Tensor v'3 Bool -> m' (Tensor Value ResourceHandle, Tensor Value Variant)

any :: forall v'1 v'2 tidx. OneOf '[Int32, Int64] tidx => Tensor v'1 Bool -> Tensor v'2 tidx -> Tensor Build Bool
any' :: forall v'1 v'2 tidx. OneOf '[Int32, Int64] tidx => OpParams -> Tensor v'1 Bool -> Tensor v'2 tidx -> Tensor Build Bool

applyAdaMax :: forall v'4 v'5 v'6 v'7 v'8 v'9 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> m' (Tensor Ref t)
applyAdaMax' :: forall v'4 v'5 v'6 v'7 v'8 v'9 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> m' (Tensor Ref t)

applyAdadelta :: forall v'4 v'5 v'6 v'7 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> m' (Tensor Ref t)
applyAdadelta' :: forall v'4 v'5 v'6 v'7 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> m' (Tensor Ref t)

applyAdagrad :: forall v'3 v'4 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor Ref t -> Tensor Ref t -> Tensor v'3 t -> Tensor v'4 t -> m' (Tensor Ref t)
applyAdagrad' :: forall v'3 v'4 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor v'3 t -> Tensor v'4 t -> m' (Tensor Ref t)

applyAdagradDA :: forall v'4 v'5 v'6 v'7 v'8 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 Int64 -> m' (Tensor Ref t)
applyAdagradDA' :: forall v'4 v'5 v'6 v'7 v'8 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 Int64 -> m' (Tensor Ref t)

applyAdagradV2 :: forall v'3 v'4 v'5 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor Ref t -> Tensor Ref t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> m' (Tensor Ref t)
applyAdagradV2' :: forall v'3 v'4 v'5 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> m' (Tensor Ref t)

applyAdam :: forall v'4 v'5 v'6 v'7 v'8 v'9 v'10 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> m' (Tensor Ref t)
applyAdam' :: forall v'4 v'5 v'6 v'7 v'8 v'9 v'10 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> m' (Tensor Ref t)

applyAddSign :: forall v'3 v'4 v'5 v'6 v'7 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor Ref t -> Tensor Ref t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> m' (Tensor Ref t)
applyAddSign' :: forall v'3 v'4 v'5 v'6 v'7 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> m' (Tensor Ref t)

applyCenteredRMSProp :: forall v'5 v'6 v'7 v'8 v'9 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> m' (Tensor Ref t)
applyCenteredRMSProp' :: forall v'5 v'6 v'7 v'8 v'9 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> m' (Tensor Ref t)

applyFtrl :: forall v'4 v'5 v'6 v'7 v'8 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> m' (Tensor Ref t)
applyFtrl' :: forall v'4 v'5 v'6 v'7 v'8 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> m' (Tensor Ref t)

applyFtrlV2 :: forall v'4 v'5 v'6 v'7 v'8 v'9 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> m' (Tensor Ref t)
applyFtrlV2' :: forall v'4 v'5 v'6 v'7 v'8 v'9 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> m' (Tensor Ref t)

applyGradientDescent :: forall v'2 v'3 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor Ref t -> Tensor v'2 t -> Tensor v'3 t -> m' (Tensor Ref t)
applyGradientDescent' :: forall v'2 v'3 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor Ref t -> Tensor v'2 t -> Tensor v'3 t -> m' (Tensor Ref t)

applyMomentum :: forall v'3 v'4 v'5 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor Ref t -> Tensor Ref t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> m' (Tensor Ref t)
applyMomentum' :: forall v'3 v'4 v'5 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> m' (Tensor Ref t)

applyPowerSign :: forall v'3 v'4 v'5 v'6 v'7 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor Ref t -> Tensor Ref t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> m' (Tensor Ref t)
applyPowerSign' :: forall v'3 v'4 v'5 v'6 v'7 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> m' (Tensor Ref t)

applyProximalAdagrad :: forall v'3 v'4 v'5 v'6 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor Ref t -> Tensor Ref t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> m' (Tensor Ref t)
applyProximalAdagrad' :: forall v'3 v'4 v'5 v'6 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> m' (Tensor Ref t)

applyProximalGradientDescent :: forall v'2 v'3 v'4 v'5 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor Ref t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> m' (Tensor Ref t)
applyProximalGradientDescent' :: forall v'2 v'3 v'4 v'5 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor Ref t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> m' (Tensor Ref t)

applyRMSProp :: forall v'4 v'5 v'6 v'7 v'8 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> m' (Tensor Ref t)
applyRMSProp' :: forall v'4 v'5 v'6 v'7 v'8 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> m' (Tensor Ref t)

approximateEqual :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build Bool
approximateEqual' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build Bool

argMax :: forall v'1 v'2 t tidx output_type. (OneOf '[Complex Double, Complex Float, Bool, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64] output_type) => Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build output_type
argMax' :: forall v'1 v'2 t tidx output_type. (OneOf '[Complex Double, Complex Float, Bool, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64] output_type) => OpParams -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build output_type

argMin :: forall v'1 v'2 t tidx output_type. (OneOf '[Complex Double, Complex Float, Bool, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64] output_type) => Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build output_type
argMin' :: forall v'1 v'2 t tidx output_type. (OneOf '[Complex Double, Complex Float, Bool, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64] output_type) => OpParams -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build output_type

asString :: forall v'1 t. OneOf '[Complex Double, Complex Float, Bool, Int16, Int32, Int64, Int8, Double, Float] t => Tensor v'1 t -> Tensor Build ByteString
asString' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Bool, Int16, Int32, Int64, Int8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build ByteString

asin :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
asin' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

asinh :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
asinh' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

assert :: forall v'1 v'2 t m'. (MonadBuild m', TensorTypes t) => Tensor v'1 Bool -> TensorList v'2 t -> m' ControlNode
assert' :: forall v'1 v'2 t m'. (MonadBuild m', TensorTypes t) => OpParams -> Tensor v'1 Bool -> TensorList v'2 t -> m' ControlNode

assertCardinalityDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant
assertCardinalityDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant

assertNextDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor Build Variant
assertNextDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor Build Variant

assign :: forall v'2 t m'. (MonadBuild m', TensorType t) => Tensor Ref t -> Tensor v'2 t -> m' (Tensor Ref t)
assign' :: forall v'2 t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor Ref t -> Tensor v'2 t -> m' (Tensor Ref t)

assignAdd :: forall v'2 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor Ref t -> Tensor v'2 t -> m' (Tensor Ref t)
assignAdd' :: forall v'2 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor Ref t -> Tensor v'2 t -> m' (Tensor Ref t)

assignAddVariableOp :: forall v'1 v'2 dtype m'. (MonadBuild m', TensorType dtype) => Tensor v'1 ResourceHandle -> Tensor v'2 dtype -> m' ControlNode
assignAddVariableOp' :: forall v'1 v'2 dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 dtype -> m' ControlNode

assignSub :: forall v'2 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor Ref t -> Tensor v'2 t -> m' (Tensor Ref t)
assignSub' :: forall v'2 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor Ref t -> Tensor v'2 t -> m' (Tensor Ref t)

assignSubVariableOp :: forall v'1 v'2 dtype m'. (MonadBuild m', TensorType dtype) => Tensor v'1 ResourceHandle -> Tensor v'2 dtype -> m' ControlNode
assignSubVariableOp' :: forall v'1 v'2 dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 dtype -> m' ControlNode

assignVariableOp :: forall v'1 v'2 dtype m'. (MonadBuild m', TensorType dtype) => Tensor v'1 ResourceHandle -> Tensor v'2 dtype -> m' ControlNode
assignVariableOp' :: forall v'1 v'2 dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 dtype -> m' ControlNode

atan :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
atan' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

atan2 :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
atan2' :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

atanh :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
atanh' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

audioSpectrogram :: Int64 -> Int64 -> Tensor v'1 Float -> Tensor Build Float
audioSpectrogram' :: OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> Tensor Build Float

audioSummary :: Float -> Tensor v'1 ByteString -> Tensor v'2 Float -> Tensor Build ByteString
audioSummary' :: OpParams -> Float -> Tensor v'1 ByteString -> Tensor v'2 Float -> Tensor Build ByteString

audioSummaryV2 :: Tensor v'1 ByteString -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor Build ByteString
audioSummaryV2' :: OpParams -> Tensor v'1 ByteString -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor Build ByteString

autoShardDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor Build Variant
autoShardDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor Build Variant

avgPool :: forall v'1 t. OneOf '[Word16, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor Build t
avgPool' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor Build t

avgPool3D :: forall v'1 t. OneOf '[Word16, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor Build t
avgPool3D' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor Build t

avgPool3DGrad :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => ByteString -> Tensor v'1 Int32 -> Tensor v'2 t -> Tensor Build t
avgPool3DGrad' :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => OpParams -> ByteString -> Tensor v'1 Int32 -> Tensor v'2 t -> Tensor Build t

avgPoolGrad :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => ByteString -> Tensor v'1 Int32 -> Tensor v'2 t -> Tensor Build t
avgPoolGrad' :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => OpParams -> ByteString -> Tensor v'1 Int32 -> Tensor v'2 t -> Tensor Build t

bandedTriangularSolve :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
bandedTriangularSolve' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

barrier :: forall m'. MonadBuild m' => [DataType] -> m' (Tensor Ref ByteString)
barrier' :: forall m'. MonadBuild m' => OpParams -> [DataType] -> m' (Tensor Ref ByteString)

barrierClose :: forall m'. MonadBuild m' => Tensor Ref ByteString -> m' ControlNode
barrierClose' :: forall m'. MonadBuild m' => OpParams -> Tensor Ref ByteString -> m' ControlNode

barrierIncompleteSize :: forall m'. MonadBuild m' => Tensor Ref ByteString -> m' (Tensor Value Int32)
barrierIncompleteSize' :: forall m'. MonadBuild m' => OpParams -> Tensor Ref ByteString -> m' (Tensor Value Int32)

barrierInsertMany :: forall v'2 v'3 t m'. (MonadBuild m', TensorType t) => Int64 -> Tensor Ref ByteString -> Tensor v'2 ByteString -> Tensor v'3 t -> m' ControlNode
barrierInsertMany' :: forall v'2 v'3 t m'. (MonadBuild m', TensorType t) => OpParams -> Int64 -> Tensor Ref ByteString -> Tensor v'2 ByteString -> Tensor v'3 t -> m' ControlNode

barrierReadySize :: forall m'. MonadBuild m' => Tensor Ref ByteString -> m' (Tensor Value Int32)
barrierReadySize' :: forall m'. MonadBuild m' => OpParams -> Tensor Ref ByteString -> m' (Tensor Value Int32)

barrierTakeMany :: forall v'2 component_types m'. (MonadBuild m', TensorTypes component_types) => Tensor Ref ByteString -> Tensor v'2 Int32 -> m' (Tensor Value Int64, Tensor Value ByteString, TensorList Value component_types)
barrierTakeMany' :: forall v'2 component_types m'. (MonadBuild m', TensorTypes component_types) => OpParams -> Tensor Ref ByteString -> Tensor v'2 Int32 -> m' (Tensor Value Int64, Tensor Value ByteString, TensorList Value component_types)

batch :: forall v'1 t. TensorTypes t => Int64 -> Int64 -> Int64 -> Int64 -> TensorList v'1 t -> (TensorList Build t, Tensor Build Int64, Tensor Build Int64)
batch' :: forall v'1 t. TensorTypes t => OpParams -> Int64 -> Int64 -> Int64 -> Int64 -> TensorList v'1 t -> (TensorList Build t, Tensor Build Int64, Tensor Build Int64)

batchCholesky :: forall v'1 t. OneOf '[Double, Float] t => Tensor v'1 t -> Tensor Build t
batchCholesky' :: forall v'1 t. OneOf '[Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

batchCholeskyGrad :: forall v'1 v'2 t. OneOf '[Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
batchCholeskyGrad' :: forall v'1 v'2 t. OneOf '[Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

batchDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant
batchDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant

batchDatasetV2 :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Bool -> Tensor Build Variant
batchDatasetV2' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Bool -> Tensor Build Variant

batchFFT :: Tensor v'1 (Complex Float) -> Tensor Build (Complex Float)
batchFFT' :: OpParams -> Tensor v'1 (Complex Float) -> Tensor Build (Complex Float)

batchFFT2D :: Tensor v'1 (Complex Float) -> Tensor Build (Complex Float)
batchFFT2D' :: OpParams -> Tensor v'1 (Complex Float) -> Tensor Build (Complex Float)

batchFFT3D :: Tensor v'1 (Complex Float) -> Tensor Build (Complex Float)
batchFFT3D' :: OpParams -> Tensor v'1 (Complex Float) -> Tensor Build (Complex Float)

batchIFFT :: Tensor v'1 (Complex Float) -> Tensor Build (Complex Float)
batchIFFT' :: OpParams -> Tensor v'1 (Complex Float) -> Tensor Build (Complex Float)

batchIFFT2D :: Tensor v'1 (Complex Float) -> Tensor Build (Complex Float)
batchIFFT2D' :: OpParams -> Tensor v'1 (Complex Float) -> Tensor Build (Complex Float)

batchIFFT3D :: Tensor v'1 (Complex Float) -> Tensor Build (Complex Float)
batchIFFT3D' :: OpParams -> Tensor v'1 (Complex Float) -> Tensor Build (Complex Float)

batchMatMul :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int32, Int64, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
batchMatMul' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int32, Int64, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

batchMatMulV2 :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int32, Int64, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
batchMatMulV2' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int32, Int64, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

batchMatrixBandPart :: forall v'1 v'2 v'3 t. TensorType t => Tensor v'1 t -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor Build t
batchMatrixBandPart' :: forall v'1 v'2 v'3 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor Build t

batchMatrixDeterminant :: forall v'1 t. OneOf '[Complex Double, Complex Float, Double, Float] t => Tensor v'1 t -> Tensor Build t
batchMatrixDeterminant' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

batchMatrixDiag :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build t
batchMatrixDiag' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build t

batchMatrixDiagPart :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build t
batchMatrixDiagPart' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build t

batchMatrixInverse :: forall v'1 t. OneOf '[Double, Float] t => Tensor v'1 t -> Tensor Build t
batchMatrixInverse' :: forall v'1 t. OneOf '[Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

batchMatrixSetDiag :: forall v'1 v'2 t. TensorType t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
batchMatrixSetDiag' :: forall v'1 v'2 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

batchMatrixSolve :: forall v'1 v'2 t. OneOf '[Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
batchMatrixSolve' :: forall v'1 v'2 t. OneOf '[Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

batchMatrixSolveLs :: forall v'1 v'2 v'3 t. OneOf '[Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Double -> Tensor Build t
batchMatrixSolveLs' :: forall v'1 v'2 v'3 t. OneOf '[Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Double -> Tensor Build t

batchMatrixTriangularSolve :: forall v'1 v'2 t. OneOf '[Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
batchMatrixTriangularSolve' :: forall v'1 v'2 t. OneOf '[Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

batchNormWithGlobalNormalization :: forall v'1 v'2 v'3 v'4 v'5 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Bool -> Float -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor Build t
batchNormWithGlobalNormalization' :: forall v'1 v'2 v'3 v'4 v'5 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Bool -> Float -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor Build t

batchNormWithGlobalNormalizationGrad :: forall v'1 v'2 v'3 v'4 v'5 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Bool -> Float -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)
batchNormWithGlobalNormalizationGrad' :: forall v'1 v'2 v'3 v'4 v'5 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Bool -> Float -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)

batchSelfAdjointEig :: forall v'1 t. OneOf '[Double, Float] t => Tensor v'1 t -> Tensor Build t
batchSelfAdjointEig' :: forall v'1 t. OneOf '[Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

batchSelfAdjointEigV2 :: forall v'1 t. OneOf '[Double, Float] t => Tensor v'1 t -> (Tensor Build t, Tensor Build t)
batchSelfAdjointEigV2' :: forall v'1 t. OneOf '[Double, Float] t => OpParams -> Tensor v'1 t -> (Tensor Build t, Tensor Build t)

batchSvd :: forall v'1 t. OneOf '[Complex Double, Complex Float, Double, Float] t => Tensor v'1 t -> (Tensor Build t, Tensor Build t, Tensor Build t)
batchSvd' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Double, Float] t => OpParams -> Tensor v'1 t -> (Tensor Build t, Tensor Build t, Tensor Build t)

batchToSpace :: forall v'1 v'2 t tidx. (TensorType t, OneOf '[Int32, Int64] tidx) => Int64 -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t
batchToSpace' :: forall v'1 v'2 t tidx. (TensorType t, OneOf '[Int32, Int64] tidx) => OpParams -> Int64 -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t

batchToSpaceND :: forall v'1 v'2 v'3 t tblock_shape tcrops. (TensorType t, OneOf '[Int32, Int64] tblock_shape, OneOf '[Int32, Int64] tcrops) => Tensor v'1 t -> Tensor v'2 tblock_shape -> Tensor v'3 tcrops -> Tensor Build t
batchToSpaceND' :: forall v'1 v'2 v'3 t tblock_shape tcrops. (TensorType t, OneOf '[Int32, Int64] tblock_shape, OneOf '[Int32, Int64] tcrops) => OpParams -> Tensor v'1 t -> Tensor v'2 tblock_shape -> Tensor v'3 tcrops -> Tensor Build t

besselI0 :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
besselI0' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

besselI0e :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
besselI0e' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

besselI1 :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
besselI1' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

besselI1e :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
besselI1e' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

besselJ0 :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
besselJ0' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

besselJ1 :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
besselJ1' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

besselK0 :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
besselK0' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

besselK0e :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
besselK0e' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

besselK1 :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
besselK1' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

besselK1e :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
besselK1e' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

besselY0 :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
besselY0' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

besselY1 :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
besselY1' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

betainc :: forall v'1 v'2 v'3 t. OneOf '[Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t
betainc' :: forall v'1 v'2 v'3 t. OneOf '[Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t

biasAdd :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
biasAdd' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

biasAddGrad :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor Build t
biasAddGrad' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

biasAddV1 :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
biasAddV1' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

bincount :: forall v'1 v'2 v'3 t. OneOf '[Int32, Int64, Double, Float] t => Tensor v'1 Int32 -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor Build t
bincount' :: forall v'1 v'2 v'3 t. OneOf '[Int32, Int64, Double, Float] t => OpParams -> Tensor v'1 Int32 -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor Build t

bitcast :: forall v'1 t type'. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] type') => Tensor v'1 t -> Tensor Build type'
bitcast' :: forall v'1 t type'. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] type') => OpParams -> Tensor v'1 t -> Tensor Build type'

bitwiseAnd :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
bitwiseAnd' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

bitwiseOr :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
bitwiseOr' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

bitwiseXor :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
bitwiseXor' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

blockLSTM :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t. OneOf '[Word16, Float] t => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)
blockLSTM' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t. OneOf '[Word16, Float] t => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)

blockLSTMGrad :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 v'12 v'13 v'14 v'15 v'16 v'17 v'18 t. OneOf '[Word16, Float] t => Bool -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> Tensor v'11 t -> Tensor v'12 t -> Tensor v'13 t -> Tensor v'14 t -> Tensor v'15 t -> Tensor v'16 t -> Tensor v'17 t -> Tensor v'18 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)
blockLSTMGrad' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 v'12 v'13 v'14 v'15 v'16 v'17 v'18 t. OneOf '[Word16, Float] t => OpParams -> Bool -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> Tensor v'11 t -> Tensor v'12 t -> Tensor v'13 t -> Tensor v'14 t -> Tensor v'15 t -> Tensor v'16 t -> Tensor v'17 t -> Tensor v'18 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)

blockLSTMGradV2 :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 v'12 v'13 v'14 v'15 v'16 v'17 v'18 t. OneOf '[Word16, Float] t => Bool -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> Tensor v'11 t -> Tensor v'12 t -> Tensor v'13 t -> Tensor v'14 t -> Tensor v'15 t -> Tensor v'16 t -> Tensor v'17 t -> Tensor v'18 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)
blockLSTMGradV2' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 v'12 v'13 v'14 v'15 v'16 v'17 v'18 t. OneOf '[Word16, Float] t => OpParams -> Bool -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> Tensor v'11 t -> Tensor v'12 t -> Tensor v'13 t -> Tensor v'14 t -> Tensor v'15 t -> Tensor v'16 t -> Tensor v'17 t -> Tensor v'18 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)

blockLSTMV2 :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t. OneOf '[Word16, Float] t => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)
blockLSTMV2' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t. OneOf '[Word16, Float] t => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)

boostedTreesAggregateStats :: Int64 -> Int64 -> Tensor v'1 Int32 -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Int32 -> Tensor Build Float
boostedTreesAggregateStats' :: OpParams -> Int64 -> Int64 -> Tensor v'1 Int32 -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Int32 -> Tensor Build Float

boostedTreesBucketize :: [Tensor v'1 Float] -> [Tensor v'2 Float] -> [Tensor Build Int32]
boostedTreesBucketize' :: OpParams -> [Tensor v'1 Float] -> [Tensor v'2 Float] -> [Tensor Build Int32]

boostedTreesCalculateBestFeatureSplit :: Int64 -> Tensor v'1 Int32 -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> (Tensor Build Int32, Tensor Build Float, Tensor Build Int32, Tensor Build Int32, Tensor Build Float, Tensor Build Float, Tensor Build ByteString)
boostedTreesCalculateBestFeatureSplit' :: OpParams -> Int64 -> Tensor v'1 Int32 -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> (Tensor Build Int32, Tensor Build Float, Tensor Build Int32, Tensor Build Int32, Tensor Build Float, Tensor Build Float, Tensor Build ByteString)

boostedTreesCalculateBestFeatureSplitV2 :: Int64 -> Tensor v'1 Int32 -> [Tensor v'2 Float] -> Tensor v'3 ByteString -> Tensor v'4 Int32 -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> (Tensor Build Int32, Tensor Build Float, Tensor Build Int32, Tensor Build Int32, Tensor Build Int32, Tensor Build Float, Tensor Build Float, Tensor Build ByteString)
boostedTreesCalculateBestFeatureSplitV2' :: OpParams -> Int64 -> Tensor v'1 Int32 -> [Tensor v'2 Float] -> Tensor v'3 ByteString -> Tensor v'4 Int32 -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> (Tensor Build Int32, Tensor Build Float, Tensor Build Int32, Tensor Build Int32, Tensor Build Int32, Tensor Build Float, Tensor Build Float, Tensor Build ByteString)

boostedTreesCalculateBestGainsPerFeature :: Int64 -> Tensor v'1 Int32 -> [Tensor v'2 Float] -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> ([Tensor Build Int32], [Tensor Build Float], [Tensor Build Int32], [Tensor Build Float], [Tensor Build Float])
boostedTreesCalculateBestGainsPerFeature' :: OpParams -> Int64 -> Tensor v'1 Int32 -> [Tensor v'2 Float] -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> ([Tensor Build Int32], [Tensor Build Float], [Tensor Build Int32], [Tensor Build Float], [Tensor Build Float])

boostedTreesCenterBias :: forall v'1 v'2 v'3 v'4 v'5 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> m' (Tensor Value Bool)
boostedTreesCenterBias' :: forall v'1 v'2 v'3 v'4 v'5 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> m' (Tensor Value Bool)

boostedTreesCreateEnsemble :: forall v'1 v'2 v'3 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 ByteString -> m' ControlNode
boostedTreesCreateEnsemble' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 ByteString -> m' ControlNode

boostedTreesCreateQuantileStreamResource :: forall v'1 v'2 v'3 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 Float -> Tensor v'3 Int64 -> m' ControlNode
boostedTreesCreateQuantileStreamResource' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Float -> Tensor v'3 Int64 -> m' ControlNode

boostedTreesDeserializeEnsemble :: forall v'1 v'2 v'3 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 ByteString -> m' ControlNode
boostedTreesDeserializeEnsemble' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 ByteString -> m' ControlNode

boostedTreesEnsembleResourceHandleOp :: forall m'. MonadBuild m' => m' (Tensor Value ResourceHandle)
boostedTreesEnsembleResourceHandleOp' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Value ResourceHandle)

boostedTreesExampleDebugOutputs :: forall v'1 v'2 m'. MonadBuild m' => Int64 -> Tensor v'1 ResourceHandle -> [Tensor v'2 Int32] -> m' (Tensor Value ByteString)
boostedTreesExampleDebugOutputs' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Int64 -> Tensor v'1 ResourceHandle -> [Tensor v'2 Int32] -> m' (Tensor Value ByteString)

boostedTreesFlushQuantileSummaries :: forall v'1 m'. MonadBuild m' => Int64 -> Tensor v'1 ResourceHandle -> m' [Tensor Value Float]
boostedTreesFlushQuantileSummaries' :: forall v'1 m'. MonadBuild m' => OpParams -> Int64 -> Tensor v'1 ResourceHandle -> m' [Tensor Value Float]

boostedTreesGetEnsembleStates :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value Int64, Tensor Value Int32, Tensor Value Int32, Tensor Value Int32, Tensor Value Int32)
boostedTreesGetEnsembleStates' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value Int64, Tensor Value Int32, Tensor Value Int32, Tensor Value Int32, Tensor Value Int32)

boostedTreesMakeQuantileSummaries :: [Tensor v'1 Float] -> Tensor v'2 Float -> Tensor v'3 Float -> [Tensor Build Float]
boostedTreesMakeQuantileSummaries' :: OpParams -> [Tensor v'1 Float] -> Tensor v'2 Float -> Tensor v'3 Float -> [Tensor Build Float]

boostedTreesMakeStatsSummary :: Int64 -> Int64 -> Tensor v'1 Int32 -> Tensor v'2 Float -> Tensor v'3 Float -> [Tensor v'4 Int32] -> Tensor Build Float
boostedTreesMakeStatsSummary' :: OpParams -> Int64 -> Int64 -> Tensor v'1 Int32 -> Tensor v'2 Float -> Tensor v'3 Float -> [Tensor v'4 Int32] -> Tensor Build Float

boostedTreesPredict :: forall v'1 v'2 m'. MonadBuild m' => Int64 -> Tensor v'1 ResourceHandle -> [Tensor v'2 Int32] -> m' (Tensor Value Float)
boostedTreesPredict' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Int64 -> Tensor v'1 ResourceHandle -> [Tensor v'2 Int32] -> m' (Tensor Value Float)

boostedTreesQuantileStreamResourceAddSummaries :: forall v'1 v'2 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> [Tensor v'2 Float] -> m' ControlNode
boostedTreesQuantileStreamResourceAddSummaries' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> [Tensor v'2 Float] -> m' ControlNode

boostedTreesQuantileStreamResourceDeserialize :: forall v'1 v'2 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> [Tensor v'2 Float] -> m' ControlNode
boostedTreesQuantileStreamResourceDeserialize' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> [Tensor v'2 Float] -> m' ControlNode

boostedTreesQuantileStreamResourceFlush :: forall v'1 v'2 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> m' ControlNode
boostedTreesQuantileStreamResourceFlush' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> m' ControlNode

boostedTreesQuantileStreamResourceGetBucketBoundaries :: forall v'1 m'. MonadBuild m' => Int64 -> Tensor v'1 ResourceHandle -> m' [Tensor Value Float]
boostedTreesQuantileStreamResourceGetBucketBoundaries' :: forall v'1 m'. MonadBuild m' => OpParams -> Int64 -> Tensor v'1 ResourceHandle -> m' [Tensor Value Float]

boostedTreesQuantileStreamResourceHandleOp :: forall m'. MonadBuild m' => m' (Tensor Value ResourceHandle)
boostedTreesQuantileStreamResourceHandleOp' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Value ResourceHandle)

boostedTreesSerializeEnsemble :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value Int64, Tensor Value ByteString)
boostedTreesSerializeEnsemble' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value Int64, Tensor Value ByteString)

boostedTreesSparseAggregateStats :: Int64 -> Int64 -> Tensor v'1 Int32 -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Int32 -> Tensor v'5 Int32 -> Tensor v'6 Int32 -> (Tensor Build Int32, Tensor Build Float, Tensor Build Int32)
boostedTreesSparseAggregateStats' :: OpParams -> Int64 -> Int64 -> Tensor v'1 Int32 -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Int32 -> Tensor v'5 Int32 -> Tensor v'6 Int32 -> (Tensor Build Int32, Tensor Build Float, Tensor Build Int32)

boostedTreesSparseCalculateBestFeatureSplit :: Int64 -> Tensor v'1 Int32 -> Tensor v'2 Int32 -> Tensor v'3 Float -> Tensor v'4 Int32 -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> (Tensor Build Int32, Tensor Build Float, Tensor Build Int32, Tensor Build Int32, Tensor Build Float, Tensor Build Float, Tensor Build ByteString)
boostedTreesSparseCalculateBestFeatureSplit' :: OpParams -> Int64 -> Tensor v'1 Int32 -> Tensor v'2 Int32 -> Tensor v'3 Float -> Tensor v'4 Int32 -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> (Tensor Build Int32, Tensor Build Float, Tensor Build Int32, Tensor Build Int32, Tensor Build Float, Tensor Build Float, Tensor Build ByteString)

boostedTreesTrainingPredict :: forall v'1 v'2 v'3 v'4 m'. MonadBuild m' => Int64 -> Tensor v'1 ResourceHandle -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> [Tensor v'4 Int32] -> m' (Tensor Value Float, Tensor Value Int32, Tensor Value Int32)
boostedTreesTrainingPredict' :: forall v'1 v'2 v'3 v'4 m'. MonadBuild m' => OpParams -> Int64 -> Tensor v'1 ResourceHandle -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> [Tensor v'4 Int32] -> m' (Tensor Value Float, Tensor Value Int32, Tensor Value Int32)

boostedTreesUpdateEnsemble :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 m'. MonadBuild m' => Int64 -> Tensor v'1 ResourceHandle -> Tensor v'2 Int32 -> [Tensor v'3 Int32] -> [Tensor v'4 Float] -> [Tensor v'5 Int32] -> [Tensor v'6 Float] -> [Tensor v'7 Float] -> Tensor v'8 Int32 -> Tensor v'9 Float -> m' ControlNode
boostedTreesUpdateEnsemble' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 m'. MonadBuild m' => OpParams -> Int64 -> Tensor v'1 ResourceHandle -> Tensor v'2 Int32 -> [Tensor v'3 Int32] -> [Tensor v'4 Float] -> [Tensor v'5 Int32] -> [Tensor v'6 Float] -> [Tensor v'7 Float] -> Tensor v'8 Int32 -> Tensor v'9 Float -> m' ControlNode

boostedTreesUpdateEnsembleV2 :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 v'12 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> [Tensor v'2 Int32] -> [Tensor v'3 Int32] -> [Tensor v'4 Int32] -> [Tensor v'5 Float] -> [Tensor v'6 Int32] -> [Tensor v'7 Float] -> [Tensor v'8 Float] -> [Tensor v'9 ByteString] -> Tensor v'10 Int32 -> Tensor v'11 Float -> Tensor v'12 Int32 -> m' ControlNode
boostedTreesUpdateEnsembleV2' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 v'12 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> [Tensor v'2 Int32] -> [Tensor v'3 Int32] -> [Tensor v'4 Int32] -> [Tensor v'5 Float] -> [Tensor v'6 Int32] -> [Tensor v'7 Float] -> [Tensor v'8 Float] -> [Tensor v'9 ByteString] -> Tensor v'10 Int32 -> Tensor v'11 Float -> Tensor v'12 Int32 -> m' ControlNode

broadcastArgs :: forall v'1 v'2 t. OneOf '[Int32, Int64] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
broadcastArgs' :: forall v'1 v'2 t. OneOf '[Int32, Int64] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

broadcastGradientArgs :: forall v'1 v'2 t. OneOf '[Int32, Int64] t => Tensor v'1 t -> Tensor v'2 t -> (Tensor Build t, Tensor Build t)
broadcastGradientArgs' :: forall v'1 v'2 t. OneOf '[Int32, Int64] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> (Tensor Build t, Tensor Build t)

broadcastTo :: forall v'1 v'2 t tidx. (TensorType t, OneOf '[Int32, Int64] tidx) => Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t
broadcastTo' :: forall v'1 v'2 t tidx. (TensorType t, OneOf '[Int32, Int64] tidx) => OpParams -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t

bucketize :: forall v'1 t. OneOf '[Int32, Int64, Double, Float] t => Tensor v'1 t -> Tensor Build Int32
bucketize' :: forall v'1 t. OneOf '[Int32, Int64, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build Int32

bytesProducedStatsDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor Build Variant
bytesProducedStatsDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor Build Variant

cSRSparseMatrixComponents :: forall v'1 v'2 type'. OneOf '[Complex Double, Complex Float, Double, Float] type' => Tensor v'1 Variant -> Tensor v'2 Int32 -> (Tensor Build Int32, Tensor Build Int32, Tensor Build type')
cSRSparseMatrixComponents' :: forall v'1 v'2 type'. OneOf '[Complex Double, Complex Float, Double, Float] type' => OpParams -> Tensor v'1 Variant -> Tensor v'2 Int32 -> (Tensor Build Int32, Tensor Build Int32, Tensor Build type')

cSRSparseMatrixToDense :: forall v'1 type'. OneOf '[Complex Double, Complex Float, Double, Float] type' => Tensor v'1 Variant -> Tensor Build type'
cSRSparseMatrixToDense' :: forall v'1 type'. OneOf '[Complex Double, Complex Float, Double, Float] type' => OpParams -> Tensor v'1 Variant -> Tensor Build type'

cSRSparseMatrixToSparseTensor :: forall v'1 type'. OneOf '[Complex Double, Complex Float, Double, Float] type' => Tensor v'1 Variant -> (Tensor Build Int64, Tensor Build type', Tensor Build Int64)
cSRSparseMatrixToSparseTensor' :: forall v'1 type'. OneOf '[Complex Double, Complex Float, Double, Float] type' => OpParams -> Tensor v'1 Variant -> (Tensor Build Int64, Tensor Build type', Tensor Build Int64)

cSVDataset :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 output_types m'. (MonadBuild m', OneOfs '[ByteString, Int32, Int64, Double, Float] output_types) => Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 Int64 -> Tensor v'4 Bool -> Tensor v'5 ByteString -> Tensor v'6 Bool -> Tensor v'7 ByteString -> Tensor v'8 Int64 -> TensorList v'9 output_types -> m' (Tensor Value Variant)
cSVDataset' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 output_types m'. (MonadBuild m', OneOfs '[ByteString, Int32, Int64, Double, Float] output_types) => OpParams -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 Int64 -> Tensor v'4 Bool -> Tensor v'5 ByteString -> Tensor v'6 Bool -> Tensor v'7 ByteString -> Tensor v'8 Int64 -> TensorList v'9 output_types -> m' (Tensor Value Variant)

cTCBeamSearchDecoder :: forall v'1 v'2 t. OneOf '[Double, Float] t => Int64 -> Int64 -> Tensor v'1 t -> Tensor v'2 Int32 -> ([Tensor Build Int64], [Tensor Build Int64], [Tensor Build Int64], Tensor Build t)
cTCBeamSearchDecoder' :: forall v'1 v'2 t. OneOf '[Double, Float] t => OpParams -> Int64 -> Int64 -> Tensor v'1 t -> Tensor v'2 Int32 -> ([Tensor Build Int64], [Tensor Build Int64], [Tensor Build Int64], Tensor Build t)

cTCGreedyDecoder :: forall v'1 v'2 t. OneOf '[Double, Float] t => Tensor v'1 t -> Tensor v'2 Int32 -> (Tensor Build Int64, Tensor Build Int64, Tensor Build Int64, Tensor Build t)
cTCGreedyDecoder' :: forall v'1 v'2 t. OneOf '[Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> (Tensor Build Int64, Tensor Build Int64, Tensor Build Int64, Tensor Build t)

cTCLoss :: forall v'1 v'2 v'3 v'4 t. OneOf '[Double, Float] t => Tensor v'1 t -> Tensor v'2 Int64 -> Tensor v'3 Int32 -> Tensor v'4 Int32 -> (Tensor Build t, Tensor Build t)
cTCLoss' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Int64 -> Tensor v'3 Int32 -> Tensor v'4 Int32 -> (Tensor Build t, Tensor Build t)

cTCLossV2 :: Tensor v'1 Float -> Tensor v'2 Int64 -> Tensor v'3 Int32 -> Tensor v'4 Int32 -> (Tensor Build Float, Tensor Build Float)
cTCLossV2' :: OpParams -> Tensor v'1 Float -> Tensor v'2 Int64 -> Tensor v'3 Int32 -> Tensor v'4 Int32 -> (Tensor Build Float, Tensor Build Float)

cacheDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor Build Variant
cacheDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor Build Variant

cacheDatasetV2 :: forall v'1 v'2 v'3 m'. MonadBuild m' => [DataType] -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor v'3 ResourceHandle -> m' (Tensor Value Variant)
cacheDatasetV2' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor v'3 ResourceHandle -> m' (Tensor Value Variant)

cast :: forall v'1 srcT dstT. (TensorType srcT, TensorType dstT) => Tensor v'1 srcT -> Tensor Build dstT
cast' :: forall v'1 srcT dstT. (TensorType srcT, TensorType dstT) => OpParams -> Tensor v'1 srcT -> Tensor Build dstT

ceil :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
ceil' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

checkNumerics :: forall v'1 t m'. (MonadBuild m', OneOf '[Word16, Double, Float] t) => ByteString -> Tensor v'1 t -> m' (Tensor Value t)
checkNumerics' :: forall v'1 t m'. (MonadBuild m', OneOf '[Word16, Double, Float] t) => OpParams -> ByteString -> Tensor v'1 t -> m' (Tensor Value t)

checkNumericsV2 :: forall v'1 t m'. (MonadBuild m', OneOf '[Word16, Double, Float] t) => ByteString -> Tensor v'1 t -> m' (Tensor Value t)
checkNumericsV2' :: forall v'1 t m'. (MonadBuild m', OneOf '[Word16, Double, Float] t) => OpParams -> ByteString -> Tensor v'1 t -> m' (Tensor Value t)

cholesky :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
cholesky' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

choleskyGrad :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
choleskyGrad' :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

chooseFastestDataset :: Int64 -> [DataType] -> [Tensor v'1 Variant] -> Tensor Build Variant
chooseFastestDataset' :: OpParams -> Int64 -> [DataType] -> [Tensor v'1 Variant] -> Tensor Build Variant

clipByValue :: forall v'1 v'2 v'3 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t
clipByValue' :: forall v'1 v'2 v'3 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t

closeSummaryWriter :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' ControlNode
closeSummaryWriter' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' ControlNode

collectiveBcastRecv :: forall t m'. (MonadBuild m', OneOf '[Bool, Int32, Int64, Word16, Double, Float] t) => Int64 -> Int64 -> Int64 -> Shape -> m' (Tensor Value t)
collectiveBcastRecv' :: forall t m'. (MonadBuild m', OneOf '[Bool, Int32, Int64, Word16, Double, Float] t) => OpParams -> Int64 -> Int64 -> Int64 -> Shape -> m' (Tensor Value t)

collectiveBcastSend :: forall v'1 t m'. (MonadBuild m', OneOf '[Bool, Int32, Int64, Word16, Double, Float] t) => Int64 -> Int64 -> Int64 -> Shape -> Tensor v'1 t -> m' (Tensor Value t)
collectiveBcastSend' :: forall v'1 t m'. (MonadBuild m', OneOf '[Bool, Int32, Int64, Word16, Double, Float] t) => OpParams -> Int64 -> Int64 -> Int64 -> Shape -> Tensor v'1 t -> m' (Tensor Value t)

collectiveGather :: forall v'1 t m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t) => Int64 -> Int64 -> Int64 -> Shape -> Tensor v'1 t -> m' (Tensor Value t)
collectiveGather' :: forall v'1 t m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t) => OpParams -> Int64 -> Int64 -> Int64 -> Shape -> Tensor v'1 t -> m' (Tensor Value t)

collectivePermute :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 Int32 -> Tensor Build t
collectivePermute' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor Build t

collectiveReduce :: forall v'1 t m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t) => ByteString -> Int64 -> Int64 -> Int64 -> ByteString -> Tensor v'1 t -> m' (Tensor Value t)
collectiveReduce' :: forall v'1 t m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t) => OpParams -> ByteString -> Int64 -> Int64 -> Int64 -> ByteString -> Tensor v'1 t -> m' (Tensor Value t)

combinedNonMaxSuppression :: Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Int32 -> Tensor v'4 Int32 -> Tensor v'5 Float -> Tensor v'6 Float -> (Tensor Build Float, Tensor Build Float, Tensor Build Float, Tensor Build Int32)
combinedNonMaxSuppression' :: OpParams -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Int32 -> Tensor v'4 Int32 -> Tensor v'5 Float -> Tensor v'6 Float -> (Tensor Build Float, Tensor Build Float, Tensor Build Float, Tensor Build Int32)

compareAndBitpack :: forall v'1 v'2 t. OneOf '[Bool, Int16, Int32, Int64, Int8, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build Word8
compareAndBitpack' :: forall v'1 v'2 t. OneOf '[Bool, Int16, Int32, Int64, Int8, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build Word8

complex :: forall v'1 v'2 t tout. (OneOf '[Double, Float] t, OneOf '[Complex Double, Complex Float] tout) => Tensor v'1 t -> Tensor v'2 t -> Tensor Build tout
complex' :: forall v'1 v'2 t tout. (OneOf '[Double, Float] t, OneOf '[Complex Double, Complex Float] tout) => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build tout

complexAbs :: forall v'1 t tout. (OneOf '[Complex Double, Complex Float] t, OneOf '[Double, Float] tout) => Tensor v'1 t -> Tensor Build tout
complexAbs' :: forall v'1 t tout. (OneOf '[Complex Double, Complex Float] t, OneOf '[Double, Float] tout) => OpParams -> Tensor v'1 t -> Tensor Build tout

compressElement :: forall v'1 input_types. TensorTypes input_types => TensorList v'1 input_types -> Tensor Build Variant
compressElement' :: forall v'1 input_types. TensorTypes input_types => OpParams -> TensorList v'1 input_types -> Tensor Build Variant

computeAccidentalHits :: Int64 -> Tensor v'1 Int64 -> Tensor v'2 Int64 -> (Tensor Build Int32, Tensor Build Int64, Tensor Build Float)
computeAccidentalHits' :: OpParams -> Int64 -> Tensor v'1 Int64 -> Tensor v'2 Int64 -> (Tensor Build Int32, Tensor Build Int64, Tensor Build Float)

concat :: forall v'1 v'2 t. TensorType t => Tensor v'1 Int32 -> [Tensor v'2 t] -> Tensor Build t
concat' :: forall v'1 v'2 t. TensorType t => OpParams -> Tensor v'1 Int32 -> [Tensor v'2 t] -> Tensor Build t

concatOffset :: Tensor v'1 Int32 -> [Tensor v'2 Int32] -> [Tensor Build Int32]
concatOffset' :: OpParams -> Tensor v'1 Int32 -> [Tensor v'2 Int32] -> [Tensor Build Int32]

concatV2 :: forall v'1 v'2 t tidx. (TensorType t, OneOf '[Int32, Int64] tidx) => [Tensor v'1 t] -> Tensor v'2 tidx -> Tensor Build t
concatV2' :: forall v'1 v'2 t tidx. (TensorType t, OneOf '[Int32, Int64] tidx) => OpParams -> [Tensor v'1 t] -> Tensor v'2 tidx -> Tensor Build t

concatenateDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Variant -> Tensor Build Variant
concatenateDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Variant -> Tensor Build Variant

conditionalAccumulator :: forall m'. MonadBuild m' => DataType -> Shape -> m' (Tensor Ref ByteString)
conditionalAccumulator' :: forall m'. MonadBuild m' => OpParams -> DataType -> Shape -> m' (Tensor Ref ByteString)

configureDistributedTPU :: forall m'. MonadBuild m' => m' (Tensor Value ByteString)
configureDistributedTPU' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Value ByteString)

configureTPUEmbedding :: forall m'. MonadBuild m' => ByteString -> m' ControlNode
configureTPUEmbedding' :: forall m'. MonadBuild m' => OpParams -> ByteString -> m' ControlNode

conj :: forall v'1 t. OneOf '[Complex Double, Complex Float, Variant] t => Tensor v'1 t -> Tensor Build t
conj' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Variant] t => OpParams -> Tensor v'1 t -> Tensor Build t

conjugateTranspose :: forall v'1 v'2 t tperm. (TensorType t, OneOf '[Int32, Int64] tperm) => Tensor v'1 t -> Tensor v'2 tperm -> Tensor Build t
conjugateTranspose' :: forall v'1 v'2 t tperm. (TensorType t, OneOf '[Int32, Int64] tperm) => OpParams -> Tensor v'1 t -> Tensor v'2 tperm -> Tensor Build t

const :: forall dtype. TensorType dtype => Tensor Build dtype
const' :: forall dtype. TensorType dtype => OpParams -> Tensor Build dtype

consumeMutexLock :: forall v'1 m'. MonadBuild m' => Tensor v'1 Variant -> m' ControlNode
consumeMutexLock' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 Variant -> m' ControlNode

controlTrigger :: forall m'. MonadBuild m' => m' ControlNode
controlTrigger' :: forall m'. MonadBuild m' => OpParams -> m' ControlNode

conv2D :: forall v'1 v'2 t. OneOf '[Int32, Word16, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
conv2D' :: forall v'1 v'2 t. OneOf '[Int32, Word16, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

conv2DBackpropFilter :: forall v'1 v'2 v'3 t. OneOf '[Word16, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor Build t
conv2DBackpropFilter' :: forall v'1 v'2 v'3 t. OneOf '[Word16, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor Build t

conv2DBackpropInput :: forall v'1 v'2 v'3 t. OneOf '[Int32, Word16, Double, Float] t => ByteString -> Tensor v'1 Int32 -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t
conv2DBackpropInput' :: forall v'1 v'2 v'3 t. OneOf '[Int32, Word16, Double, Float] t => OpParams -> ByteString -> Tensor v'1 Int32 -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t

conv3D :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
conv3D' :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

conv3DBackpropFilter :: forall v'1 v'2 v'3 t. OneOf '[Word16, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t
conv3DBackpropFilter' :: forall v'1 v'2 v'3 t. OneOf '[Word16, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t

conv3DBackpropFilterV2 :: forall v'1 v'2 v'3 t. OneOf '[Word16, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor Build t
conv3DBackpropFilterV2' :: forall v'1 v'2 v'3 t. OneOf '[Word16, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor Build t

conv3DBackpropInput :: forall v'1 v'2 v'3 t. OneOf '[Word16, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t
conv3DBackpropInput' :: forall v'1 v'2 v'3 t. OneOf '[Word16, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t

conv3DBackpropInputV2 :: forall v'1 v'2 v'3 t tshape. (OneOf '[Word16, Double, Float] t, OneOf '[Int32, Int64] tshape) => ByteString -> Tensor v'1 tshape -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t
conv3DBackpropInputV2' :: forall v'1 v'2 v'3 t tshape. (OneOf '[Word16, Double, Float] t, OneOf '[Int32, Int64] tshape) => OpParams -> ByteString -> Tensor v'1 tshape -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t

copy :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build t
copy' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build t

copyHost :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build t
copyHost' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build t

cos :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
cos' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

cosh :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
cosh' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

countUpTo :: forall t m'. (MonadBuild m', OneOf '[Int32, Int64] t) => Int64 -> Tensor Ref t -> m' (Tensor Value t)
countUpTo' :: forall t m'. (MonadBuild m', OneOf '[Int32, Int64] t) => OpParams -> Int64 -> Tensor Ref t -> m' (Tensor Value t)

createSummaryDbWriter :: forall v'1 v'2 v'3 v'4 v'5 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> Tensor v'4 ByteString -> Tensor v'5 ByteString -> m' ControlNode
createSummaryDbWriter' :: forall v'1 v'2 v'3 v'4 v'5 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> Tensor v'4 ByteString -> Tensor v'5 ByteString -> m' ControlNode

createSummaryFileWriter :: forall v'1 v'2 v'3 v'4 v'5 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 ByteString -> Tensor v'3 Int32 -> Tensor v'4 Int32 -> Tensor v'5 ByteString -> m' ControlNode
createSummaryFileWriter' :: forall v'1 v'2 v'3 v'4 v'5 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ByteString -> Tensor v'3 Int32 -> Tensor v'4 Int32 -> Tensor v'5 ByteString -> m' ControlNode

cropAndResize :: forall v'1 v'2 v'3 v'4 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 Float -> Tensor v'3 Int32 -> Tensor v'4 Int32 -> Tensor Build Float
cropAndResize' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Float -> Tensor v'3 Int32 -> Tensor v'4 Int32 -> Tensor Build Float

cropAndResizeGradBoxes :: forall v'1 v'2 v'3 v'4 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => Tensor v'1 Float -> Tensor v'2 t -> Tensor v'3 Float -> Tensor v'4 Int32 -> Tensor Build Float
cropAndResizeGradBoxes' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => OpParams -> Tensor v'1 Float -> Tensor v'2 t -> Tensor v'3 Float -> Tensor v'4 Int32 -> Tensor Build Float

cropAndResizeGradImage :: forall v'1 v'2 v'3 v'4 t. OneOf '[Word16, Double, Float] t => Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Int32 -> Tensor v'4 Int32 -> Tensor Build t
cropAndResizeGradImage' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Int32 -> Tensor v'4 Int32 -> Tensor Build t

cross :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
cross' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

crossReplicaSum :: forall v'1 v'2 t. OneOf '[Int32, Word16, Word32, Float] t => Tensor v'1 t -> Tensor v'2 Int32 -> Tensor Build t
crossReplicaSum' :: forall v'1 v'2 t. OneOf '[Int32, Word16, Word32, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor Build t

cudnnRNN :: forall v'1 v'2 v'3 v'4 t m'. (MonadBuild m', OneOf '[Word16, Double, Float] t) => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> m' (Tensor Value t, Tensor Value t, Tensor Value t, Tensor Value t)
cudnnRNN' :: forall v'1 v'2 v'3 v'4 t m'. (MonadBuild m', OneOf '[Word16, Double, Float] t) => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> m' (Tensor Value t, Tensor Value t, Tensor Value t, Tensor Value t)

cudnnRNNBackprop :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 t m'. (MonadBuild m', OneOf '[Word16, Double, Float] t) => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> Tensor v'11 t -> m' (Tensor Value t, Tensor Value t, Tensor Value t, Tensor Value t)
cudnnRNNBackprop' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 t m'. (MonadBuild m', OneOf '[Word16, Double, Float] t) => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> Tensor v'11 t -> m' (Tensor Value t, Tensor Value t, Tensor Value t, Tensor Value t)

cudnnRNNBackpropV2 :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 v'12 t m'. (MonadBuild m', OneOf '[Word16, Double, Float] t) => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> Tensor v'11 t -> Tensor v'12 Int8 -> m' (Tensor Value t, Tensor Value t, Tensor Value t, Tensor Value t)
cudnnRNNBackpropV2' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 v'12 t m'. (MonadBuild m', OneOf '[Word16, Double, Float] t) => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> Tensor v'11 t -> Tensor v'12 Int8 -> m' (Tensor Value t, Tensor Value t, Tensor Value t, Tensor Value t)

cudnnRNNBackpropV3 :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 v'12 v'13 t m'. (MonadBuild m', OneOf '[Word16, Double, Float] t) => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 Int32 -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> Tensor v'11 t -> Tensor v'12 t -> Tensor v'13 Int8 -> m' (Tensor Value t, Tensor Value t, Tensor Value t, Tensor Value t)
cudnnRNNBackpropV3' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 v'12 v'13 t m'. (MonadBuild m', OneOf '[Word16, Double, Float] t) => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 Int32 -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> Tensor v'11 t -> Tensor v'12 t -> Tensor v'13 Int8 -> m' (Tensor Value t, Tensor Value t, Tensor Value t, Tensor Value t)

cudnnRNNCanonicalToParams :: forall v'1 v'2 v'3 v'4 v'5 t. OneOf '[Word16, Double, Float] t => Tensor v'1 Int32 -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> [Tensor v'4 t] -> [Tensor v'5 t] -> Tensor Build t
cudnnRNNCanonicalToParams' :: forall v'1 v'2 v'3 v'4 v'5 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 Int32 -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> [Tensor v'4 t] -> [Tensor v'5 t] -> Tensor Build t

cudnnRNNCanonicalToParamsV2 :: forall v'1 v'2 v'3 v'4 v'5 t. OneOf '[Word16, Double, Float] t => Tensor v'1 Int32 -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> [Tensor v'4 t] -> [Tensor v'5 t] -> Tensor Build t
cudnnRNNCanonicalToParamsV2' :: forall v'1 v'2 v'3 v'4 v'5 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 Int32 -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> [Tensor v'4 t] -> [Tensor v'5 t] -> Tensor Build t

cudnnRNNParamsSize :: forall v'1 v'2 v'3 s. OneOf '[Int32, Int64] s => DataType -> Tensor v'1 Int32 -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor Build s
cudnnRNNParamsSize' :: forall v'1 v'2 v'3 s. OneOf '[Int32, Int64] s => OpParams -> DataType -> Tensor v'1 Int32 -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor Build s

cudnnRNNParamsToCanonical :: forall v'1 v'2 v'3 v'4 t. OneOf '[Word16, Double, Float] t => Int64 -> Tensor v'1 Int32 -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor v'4 t -> ([Tensor Build t], [Tensor Build t])
cudnnRNNParamsToCanonical' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Word16, Double, Float] t => OpParams -> Int64 -> Tensor v'1 Int32 -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor v'4 t -> ([Tensor Build t], [Tensor Build t])

cudnnRNNParamsToCanonicalV2 :: forall v'1 v'2 v'3 v'4 t. OneOf '[Word16, Double, Float] t => Int64 -> Int64 -> Tensor v'1 Int32 -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor v'4 t -> ([Tensor Build t], [Tensor Build t])
cudnnRNNParamsToCanonicalV2' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Word16, Double, Float] t => OpParams -> Int64 -> Int64 -> Tensor v'1 Int32 -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor v'4 t -> ([Tensor Build t], [Tensor Build t])

cudnnRNNV2 :: forall v'1 v'2 v'3 v'4 t m'. (MonadBuild m', OneOf '[Word16, Double, Float] t) => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> m' (Tensor Value t, Tensor Value t, Tensor Value t, Tensor Value t, Tensor Value Int8)
cudnnRNNV2' :: forall v'1 v'2 v'3 v'4 t m'. (MonadBuild m', OneOf '[Word16, Double, Float] t) => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> m' (Tensor Value t, Tensor Value t, Tensor Value t, Tensor Value t, Tensor Value Int8)

cudnnRNNV3 :: forall v'1 v'2 v'3 v'4 v'5 t m'. (MonadBuild m', OneOf '[Word16, Double, Float] t) => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 Int32 -> m' (Tensor Value t, Tensor Value t, Tensor Value t, Tensor Value t, Tensor Value Int8)
cudnnRNNV3' :: forall v'1 v'2 v'3 v'4 v'5 t m'. (MonadBuild m', OneOf '[Word16, Double, Float] t) => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 Int32 -> m' (Tensor Value t, Tensor Value t, Tensor Value t, Tensor Value t, Tensor Value Int8)

cumprod :: forall v'1 v'2 t tidx. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx) => Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t
cumprod' :: forall v'1 v'2 t tidx. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx) => OpParams -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t

cumsum :: forall v'1 v'2 t tidx. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx) => Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t
cumsum' :: forall v'1 v'2 t tidx. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx) => OpParams -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t

cumulativeLogsumexp :: forall v'1 v'2 t tidx. (OneOf '[Word16, Double, Float] t, OneOf '[Int32, Int64] tidx) => Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t
cumulativeLogsumexp' :: forall v'1 v'2 t tidx. (OneOf '[Word16, Double, Float] t, OneOf '[Int32, Int64] tidx) => OpParams -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t

dataFormatDimMap :: forall v'1 t. OneOf '[Int32, Int64] t => Tensor v'1 t -> Tensor Build t
dataFormatDimMap' :: forall v'1 t. OneOf '[Int32, Int64] t => OpParams -> Tensor v'1 t -> Tensor Build t

dataFormatVecPermute :: forall v'1 t. OneOf '[Int32, Int64] t => Tensor v'1 t -> Tensor Build t
dataFormatVecPermute' :: forall v'1 t. OneOf '[Int32, Int64] t => OpParams -> Tensor v'1 t -> Tensor Build t

dataServiceDataset :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 m'. MonadBuild m' => [DataType] -> Tensor v'1 Int64 -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> Tensor v'4 ByteString -> Tensor v'5 ByteString -> Tensor v'6 Int64 -> Tensor v'7 ResourceHandle -> m' (Tensor Value Variant)
dataServiceDataset' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 m'. MonadBuild m' => OpParams -> [DataType] -> Tensor v'1 Int64 -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> Tensor v'4 ByteString -> Tensor v'5 ByteString -> Tensor v'6 Int64 -> Tensor v'7 ResourceHandle -> m' (Tensor Value Variant)

datasetCardinality :: Tensor v'1 Variant -> Tensor Build Int64
datasetCardinality' :: OpParams -> Tensor v'1 Variant -> Tensor Build Int64

datasetFromGraph :: Tensor v'1 ByteString -> Tensor Build Variant
datasetFromGraph' :: OpParams -> Tensor v'1 ByteString -> Tensor Build Variant

datasetToGraph :: Tensor v'1 Variant -> Tensor Build ByteString
datasetToGraph' :: OpParams -> Tensor v'1 Variant -> Tensor Build ByteString

datasetToGraphV2 :: Tensor v'1 Variant -> Tensor Build ByteString
datasetToGraphV2' :: OpParams -> Tensor v'1 Variant -> Tensor Build ByteString

datasetToSingleElement :: forall v'1 output_types m'. (MonadBuild m', TensorTypes output_types) => Tensor v'1 Variant -> m' (TensorList Value output_types)
datasetToSingleElement' :: forall v'1 output_types m'. (MonadBuild m', TensorTypes output_types) => OpParams -> Tensor v'1 Variant -> m' (TensorList Value output_types)

datasetToTFRecord :: forall v'1 v'2 v'3 m'. MonadBuild m' => Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> m' ControlNode
datasetToTFRecord' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> m' ControlNode

dawsn :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
dawsn' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

debugGradientIdentity :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build t
debugGradientIdentity' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build t

debugGradientRefIdentity :: forall t m'. (MonadBuild m', TensorType t) => Tensor Ref t -> m' (Tensor Ref t)
debugGradientRefIdentity' :: forall t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor Ref t -> m' (Tensor Ref t)

debugIdentity :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build t
debugIdentity' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build t

debugIdentityV2 :: forall v'1 t m'. (MonadBuild m', TensorType t) => Tensor v'1 t -> m' (Tensor Value t)
debugIdentityV2' :: forall v'1 t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor v'1 t -> m' (Tensor Value t)

debugNanCount :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build Int64
debugNanCount' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build Int64

debugNumericSummary :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build Double
debugNumericSummary' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build Double

debugNumericSummaryV2 :: forall v'1 output_dtype t. (OneOf '[Double, Float] output_dtype, TensorType t) => Tensor v'1 t -> Tensor Build output_dtype
debugNumericSummaryV2' :: forall v'1 output_dtype t. (OneOf '[Double, Float] output_dtype, TensorType t) => OpParams -> Tensor v'1 t -> Tensor Build output_dtype

decodeAndCropJpeg :: Tensor v'1 ByteString -> Tensor v'2 Int32 -> Tensor Build Word8
decodeAndCropJpeg' :: OpParams -> Tensor v'1 ByteString -> Tensor v'2 Int32 -> Tensor Build Word8

decodeBase64 :: Tensor v'1 ByteString -> Tensor Build ByteString
decodeBase64' :: OpParams -> Tensor v'1 ByteString -> Tensor Build ByteString

decodeBmp :: Tensor v'1 ByteString -> Tensor Build Word8
decodeBmp' :: OpParams -> Tensor v'1 ByteString -> Tensor Build Word8

decodeCSV :: forall v'1 v'2 oUT_TYPE. OneOfs '[ByteString, Int32, Int64, Double, Float] oUT_TYPE => Tensor v'1 ByteString -> TensorList v'2 oUT_TYPE -> TensorList Build oUT_TYPE
decodeCSV' :: forall v'1 v'2 oUT_TYPE. OneOfs '[ByteString, Int32, Int64, Double, Float] oUT_TYPE => OpParams -> Tensor v'1 ByteString -> TensorList v'2 oUT_TYPE -> TensorList Build oUT_TYPE

decodeCompressed :: Tensor v'1 ByteString -> Tensor Build ByteString
decodeCompressed' :: OpParams -> Tensor v'1 ByteString -> Tensor Build ByteString

decodeGif :: Tensor v'1 ByteString -> Tensor Build Word8
decodeGif' :: OpParams -> Tensor v'1 ByteString -> Tensor Build Word8

decodeJSONExample :: Tensor v'1 ByteString -> Tensor Build ByteString
decodeJSONExample' :: OpParams -> Tensor v'1 ByteString -> Tensor Build ByteString

decodeJpeg :: Tensor v'1 ByteString -> Tensor Build Word8
decodeJpeg' :: OpParams -> Tensor v'1 ByteString -> Tensor Build Word8

decodePaddedRaw :: forall v'1 v'2 out_type. OneOf '[Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] out_type => Tensor v'1 ByteString -> Tensor v'2 Int32 -> Tensor Build out_type
decodePaddedRaw' :: forall v'1 v'2 out_type. OneOf '[Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] out_type => OpParams -> Tensor v'1 ByteString -> Tensor v'2 Int32 -> Tensor Build out_type

decodePng :: forall v'1 dtype. OneOf '[Word16, Word8] dtype => Tensor v'1 ByteString -> Tensor Build dtype
decodePng' :: forall v'1 dtype. OneOf '[Word16, Word8] dtype => OpParams -> Tensor v'1 ByteString -> Tensor Build dtype

decodeProtoV2 :: forall v'1 output_types. TensorTypes output_types => ByteString -> Tensor v'1 ByteString -> (Tensor Build Int32, TensorList Build output_types)
decodeProtoV2' :: forall v'1 output_types. TensorTypes output_types => OpParams -> ByteString -> Tensor v'1 ByteString -> (Tensor Build Int32, TensorList Build output_types)

decodeRaw :: forall v'1 out_type. OneOf '[Complex Double, Complex Float, Bool, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] out_type => Tensor v'1 ByteString -> Tensor Build out_type
decodeRaw' :: forall v'1 out_type. OneOf '[Complex Double, Complex Float, Bool, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] out_type => OpParams -> Tensor v'1 ByteString -> Tensor Build out_type

decodeWav :: Tensor v'1 ByteString -> (Tensor Build Float, Tensor Build Int32)
decodeWav' :: OpParams -> Tensor v'1 ByteString -> (Tensor Build Float, Tensor Build Int32)

deepCopy :: forall v'1 t m'. (MonadBuild m', TensorType t) => Tensor v'1 t -> m' (Tensor Value t)
deepCopy' :: forall v'1 t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor v'1 t -> m' (Tensor Value t)

deleteIterator :: forall v'1 v'2 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 Variant -> m' ControlNode
deleteIterator' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Variant -> m' ControlNode

deleteMemoryCache :: forall v'1 v'2 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 Variant -> m' ControlNode
deleteMemoryCache' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Variant -> m' ControlNode

deleteMultiDeviceIterator :: forall v'1 v'2 v'3 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> [Tensor v'2 ResourceHandle] -> Tensor v'3 Variant -> m' ControlNode
deleteMultiDeviceIterator' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> [Tensor v'2 ResourceHandle] -> Tensor v'3 Variant -> m' ControlNode

deleteRandomSeedGenerator :: forall v'1 v'2 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 Variant -> m' ControlNode
deleteRandomSeedGenerator' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Variant -> m' ControlNode

deleteSeedGenerator :: forall v'1 v'2 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 Variant -> m' ControlNode
deleteSeedGenerator' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Variant -> m' ControlNode

deleteSessionTensor :: forall v'1 m'. MonadBuild m' => Tensor v'1 ByteString -> m' ControlNode
deleteSessionTensor' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ByteString -> m' ControlNode

denseBincount :: forall v'1 v'2 v'3 tidx t. (OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64, Double, Float] t) => Tensor v'1 tidx -> Tensor v'2 tidx -> Tensor v'3 t -> Tensor Build t
denseBincount' :: forall v'1 v'2 v'3 tidx t. (OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64, Double, Float] t) => OpParams -> Tensor v'1 tidx -> Tensor v'2 tidx -> Tensor v'3 t -> Tensor Build t

denseCountSparseOutput :: forall v'1 v'2 t output_type. (OneOf '[Int32, Int64] t, OneOf '[Int32, Int64, Double, Float] output_type) => Bool -> Tensor v'1 t -> Tensor v'2 output_type -> (Tensor Build Int64, Tensor Build output_type, Tensor Build Int64)
denseCountSparseOutput' :: forall v'1 v'2 t output_type. (OneOf '[Int32, Int64] t, OneOf '[Int32, Int64, Double, Float] output_type) => OpParams -> Bool -> Tensor v'1 t -> Tensor v'2 output_type -> (Tensor Build Int64, Tensor Build output_type, Tensor Build Int64)

denseToCSRSparseMatrix :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Double, Float] t => Tensor v'1 t -> Tensor v'2 Int64 -> Tensor Build Variant
denseToCSRSparseMatrix' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Int64 -> Tensor Build Variant

denseToDenseSetOperation :: forall v'1 v'2 t. OneOf '[ByteString, Int16, Int32, Int64, Int8, Word16, Word8] t => ByteString -> Tensor v'1 t -> Tensor v'2 t -> (Tensor Build Int64, Tensor Build t, Tensor Build Int64)
denseToDenseSetOperation' :: forall v'1 v'2 t. OneOf '[ByteString, Int16, Int32, Int64, Int8, Word16, Word8] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> (Tensor Build Int64, Tensor Build t, Tensor Build Int64)

denseToSparseBatchDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor Build Variant
denseToSparseBatchDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor Build Variant

denseToSparseSetOperation :: forall v'1 v'2 v'3 v'4 t. OneOf '[ByteString, Int16, Int32, Int64, Int8, Word16, Word8] t => ByteString -> Tensor v'1 t -> Tensor v'2 Int64 -> Tensor v'3 t -> Tensor v'4 Int64 -> (Tensor Build Int64, Tensor Build t, Tensor Build Int64)
denseToSparseSetOperation' :: forall v'1 v'2 v'3 v'4 t. OneOf '[ByteString, Int16, Int32, Int64, Int8, Word16, Word8] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 Int64 -> Tensor v'3 t -> Tensor v'4 Int64 -> (Tensor Build Int64, Tensor Build t, Tensor Build Int64)

depthToSpace :: forall v'1 t. TensorType t => Int64 -> Tensor v'1 t -> Tensor Build t
depthToSpace' :: forall v'1 t. TensorType t => OpParams -> Int64 -> Tensor v'1 t -> Tensor Build t

depthwiseConv2dNative :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
depthwiseConv2dNative' :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

depthwiseConv2dNativeBackpropFilter :: forall v'1 v'2 v'3 t. OneOf '[Word16, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor Build t
depthwiseConv2dNativeBackpropFilter' :: forall v'1 v'2 v'3 t. OneOf '[Word16, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor Build t

depthwiseConv2dNativeBackpropInput :: forall v'1 v'2 v'3 t. OneOf '[Word16, Double, Float] t => ByteString -> Tensor v'1 Int32 -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t
depthwiseConv2dNativeBackpropInput' :: forall v'1 v'2 v'3 t. OneOf '[Word16, Double, Float] t => OpParams -> ByteString -> Tensor v'1 Int32 -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t

dequantize :: forall v'1 v'2 v'3 t dtype. (OneOf '[Int16, Int32, Word16, Word8] t, OneOf '[Word16, Float] dtype) => Tensor v'1 t -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor Build dtype
dequantize' :: forall v'1 v'2 v'3 t dtype. (OneOf '[Int16, Int32, Word16, Word8] t, OneOf '[Word16, Float] dtype) => OpParams -> Tensor v'1 t -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor Build dtype

deserializeIterator :: forall v'1 v'2 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 Variant -> m' ControlNode
deserializeIterator' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Variant -> m' ControlNode

deserializeManySparse :: forall v'1 dtype. TensorType dtype => Tensor v'1 ByteString -> (Tensor Build Int64, Tensor Build dtype, Tensor Build Int64)
deserializeManySparse' :: forall v'1 dtype. TensorType dtype => OpParams -> Tensor v'1 ByteString -> (Tensor Build Int64, Tensor Build dtype, Tensor Build Int64)

deserializeSparse :: forall v'1 dtype tserialized. (TensorType dtype, OneOf '[ByteString, Variant] tserialized) => Tensor v'1 tserialized -> (Tensor Build Int64, Tensor Build dtype, Tensor Build Int64)
deserializeSparse' :: forall v'1 dtype tserialized. (TensorType dtype, OneOf '[ByteString, Variant] tserialized) => OpParams -> Tensor v'1 tserialized -> (Tensor Build Int64, Tensor Build dtype, Tensor Build Int64)

destroyResourceOp :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' ControlNode
destroyResourceOp' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' ControlNode

destroyTemporaryVariable :: forall t m'. (MonadBuild m', TensorType t) => ByteString -> Tensor Ref t -> m' (Tensor Value t)
destroyTemporaryVariable' :: forall t m'. (MonadBuild m', TensorType t) => OpParams -> ByteString -> Tensor Ref t -> m' (Tensor Value t)

deviceIndex :: Tensor Build Int32
deviceIndex' :: OpParams -> Tensor Build Int32

diag :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int32, Int64, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
diag' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int32, Int64, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

diagPart :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int32, Int64, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
diagPart' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int32, Int64, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

digamma :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
digamma' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

dilation2D :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
dilation2D' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

dilation2DBackpropFilter :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t
dilation2DBackpropFilter' :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t

dilation2DBackpropInput :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t
dilation2DBackpropInput' :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t

directedInterleaveDataset :: [DataType] -> Tensor v'1 Variant -> [Tensor v'2 Variant] -> Tensor Build Variant
directedInterleaveDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> [Tensor v'2 Variant] -> Tensor Build Variant

div :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
div' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

divNoNan :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
divNoNan' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

drawBoundingBoxes :: forall v'1 v'2 t. OneOf '[Word16, Float] t => Tensor v'1 t -> Tensor v'2 Float -> Tensor Build t
drawBoundingBoxes' :: forall v'1 v'2 t. OneOf '[Word16, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Float -> Tensor Build t

drawBoundingBoxesV2 :: forall v'1 v'2 v'3 t. OneOf '[Word16, Float] t => Tensor v'1 t -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor Build t
drawBoundingBoxesV2' :: forall v'1 v'2 v'3 t. OneOf '[Word16, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor Build t

dummyIterationCounter :: forall m'. MonadBuild m' => m' (Tensor Value ResourceHandle)
dummyIterationCounter' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Value ResourceHandle)

dummyMemoryCache :: forall m'. MonadBuild m' => m' (Tensor Value ResourceHandle)
dummyMemoryCache' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Value ResourceHandle)

dummySeedGenerator :: forall m'. MonadBuild m' => m' (Tensor Value ResourceHandle)
dummySeedGenerator' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Value ResourceHandle)

dynamicPartition :: forall v'1 v'2 t. TensorType t => Int64 -> Tensor v'1 t -> Tensor v'2 Int32 -> [Tensor Build t]
dynamicPartition' :: forall v'1 v'2 t. TensorType t => OpParams -> Int64 -> Tensor v'1 t -> Tensor v'2 Int32 -> [Tensor Build t]

dynamicStitch :: forall v'1 v'2 t. TensorType t => [Tensor v'1 Int32] -> [Tensor v'2 t] -> Tensor Build t
dynamicStitch' :: forall v'1 v'2 t. TensorType t => OpParams -> [Tensor v'1 Int32] -> [Tensor v'2 t] -> Tensor Build t

eagerPyFunc :: forall v'1 tin tout m'. (MonadBuild m', TensorTypes tin, TensorTypes tout) => ByteString -> TensorList v'1 tin -> m' (TensorList Value tout)
eagerPyFunc' :: forall v'1 tin tout m'. (MonadBuild m', TensorTypes tin, TensorTypes tout) => OpParams -> ByteString -> TensorList v'1 tin -> m' (TensorList Value tout)

editDistance :: forall v'1 v'2 v'3 v'4 v'5 v'6 t. TensorType t => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 t -> Tensor v'6 Int64 -> Tensor Build Float
editDistance' :: forall v'1 v'2 v'3 v'4 v'5 v'6 t. TensorType t => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 t -> Tensor v'6 Int64 -> Tensor Build Float

eig :: forall v'1 t tout. (OneOf '[Complex Double, Complex Float, Double, Float] t, OneOf '[Complex Double, Complex Float] tout) => Tensor v'1 t -> (Tensor Build tout, Tensor Build tout)
eig' :: forall v'1 t tout. (OneOf '[Complex Double, Complex Float, Double, Float] t, OneOf '[Complex Double, Complex Float] tout) => OpParams -> Tensor v'1 t -> (Tensor Build tout, Tensor Build tout)

einsum :: forall v'1 t. TensorType t => ByteString -> [Tensor v'1 t] -> Tensor Build t
einsum' :: forall v'1 t. TensorType t => OpParams -> ByteString -> [Tensor v'1 t] -> Tensor Build t

elu :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
elu' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

eluGrad :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
eluGrad' :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

empty :: forall v'1 dtype m'. (MonadBuild m', TensorType dtype) => Tensor v'1 Int32 -> m' (Tensor Value dtype)
empty' :: forall v'1 dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Tensor v'1 Int32 -> m' (Tensor Value dtype)

emptyTensorList :: forall v'1 v'2 shape_type. OneOf '[Int32, Int64] shape_type => DataType -> Tensor v'1 shape_type -> Tensor v'2 Int32 -> Tensor Build Variant
emptyTensorList' :: forall v'1 v'2 shape_type. OneOf '[Int32, Int64] shape_type => OpParams -> DataType -> Tensor v'1 shape_type -> Tensor v'2 Int32 -> Tensor Build Variant

encodeBase64 :: Tensor v'1 ByteString -> Tensor Build ByteString
encodeBase64' :: OpParams -> Tensor v'1 ByteString -> Tensor Build ByteString

encodeJpeg :: Tensor v'1 Word8 -> Tensor Build ByteString
encodeJpeg' :: OpParams -> Tensor v'1 Word8 -> Tensor Build ByteString

encodeJpegVariableQuality :: Tensor v'1 Word8 -> Tensor v'2 Int32 -> Tensor Build ByteString
encodeJpegVariableQuality' :: OpParams -> Tensor v'1 Word8 -> Tensor v'2 Int32 -> Tensor Build ByteString

encodePng :: forall v'1 t. OneOf '[Word16, Word8] t => Tensor v'1 t -> Tensor Build ByteString
encodePng' :: forall v'1 t. OneOf '[Word16, Word8] t => OpParams -> Tensor v'1 t -> Tensor Build ByteString

encodeProto :: forall v'1 v'2 tinput_types. TensorTypes tinput_types => ByteString -> Tensor v'1 Int32 -> TensorList v'2 tinput_types -> Tensor Build ByteString
encodeProto' :: forall v'1 v'2 tinput_types. TensorTypes tinput_types => OpParams -> ByteString -> Tensor v'1 Int32 -> TensorList v'2 tinput_types -> Tensor Build ByteString

encodeWav :: Tensor v'1 Float -> Tensor v'2 Int32 -> Tensor Build ByteString
encodeWav' :: OpParams -> Tensor v'1 Float -> Tensor v'2 Int32 -> Tensor Build ByteString

enqueueTPUEmbeddingIntegerBatch :: forall v'1 v'2 m'. MonadBuild m' => [Tensor v'1 Int32] -> Tensor v'2 ByteString -> m' ControlNode
enqueueTPUEmbeddingIntegerBatch' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> [Tensor v'1 Int32] -> Tensor v'2 ByteString -> m' ControlNode

enqueueTPUEmbeddingRaggedTensorBatch :: forall v'1 v'2 v'3 v'4 t1 t2 t3 m'. (MonadBuild m', OneOf '[Int32, Int64] t1, OneOf '[Int32, Int64] t2, OneOf '[Double, Float] t3) => [Tensor v'1 t1] -> [Tensor v'2 t2] -> [Tensor v'3 t3] -> Tensor v'4 ByteString -> m' ControlNode
enqueueTPUEmbeddingRaggedTensorBatch' :: forall v'1 v'2 v'3 v'4 t1 t2 t3 m'. (MonadBuild m', OneOf '[Int32, Int64] t1, OneOf '[Int32, Int64] t2, OneOf '[Double, Float] t3) => OpParams -> [Tensor v'1 t1] -> [Tensor v'2 t2] -> [Tensor v'3 t3] -> Tensor v'4 ByteString -> m' ControlNode

enqueueTPUEmbeddingSparseBatch :: forall v'1 v'2 v'3 v'4 t1 t2 t3 m'. (MonadBuild m', OneOf '[Int32, Int64] t1, OneOf '[Int32, Int64] t2, OneOf '[Double, Float] t3) => [Tensor v'1 t1] -> [Tensor v'2 t2] -> [Tensor v'3 t3] -> Tensor v'4 ByteString -> m' ControlNode
enqueueTPUEmbeddingSparseBatch' :: forall v'1 v'2 v'3 v'4 t1 t2 t3 m'. (MonadBuild m', OneOf '[Int32, Int64] t1, OneOf '[Int32, Int64] t2, OneOf '[Double, Float] t3) => OpParams -> [Tensor v'1 t1] -> [Tensor v'2 t2] -> [Tensor v'3 t3] -> Tensor v'4 ByteString -> m' ControlNode

enqueueTPUEmbeddingSparseTensorBatch :: forall v'1 v'2 v'3 v'4 t1 t2 t3 m'. (MonadBuild m', OneOf '[Int32, Int64] t1, OneOf '[Int32, Int64] t2, OneOf '[Double, Float] t3) => [Tensor v'1 t1] -> [Tensor v'2 t2] -> [Tensor v'3 t3] -> Tensor v'4 ByteString -> m' ControlNode
enqueueTPUEmbeddingSparseTensorBatch' :: forall v'1 v'2 v'3 v'4 t1 t2 t3 m'. (MonadBuild m', OneOf '[Int32, Int64] t1, OneOf '[Int32, Int64] t2, OneOf '[Double, Float] t3) => OpParams -> [Tensor v'1 t1] -> [Tensor v'2 t2] -> [Tensor v'3 t3] -> Tensor v'4 ByteString -> m' ControlNode

ensureShape :: forall v'1 t. TensorType t => Shape -> Tensor v'1 t -> Tensor Build t
ensureShape' :: forall v'1 t. TensorType t => OpParams -> Shape -> Tensor v'1 t -> Tensor Build t

enter :: forall v'1 t. TensorType t => ByteString -> Tensor v'1 t -> Tensor Build t
enter' :: forall v'1 t. TensorType t => OpParams -> ByteString -> Tensor v'1 t -> Tensor Build t

equal :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Bool, ByteString, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build Bool
equal' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Bool, ByteString, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build Bool

erf :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
erf' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

erfc :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
erfc' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

erfinv :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
erfinv' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

euclideanNorm :: forall v'1 v'2 t tidx. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx) => Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t
euclideanNorm' :: forall v'1 v'2 t tidx. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx) => OpParams -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t

exit :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build t
exit' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build t

exp :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
exp' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

expandDims :: forall v'1 v'2 t tdim. (TensorType t, OneOf '[Int32, Int64] tdim) => Tensor v'1 t -> Tensor v'2 tdim -> Tensor Build t
expandDims' :: forall v'1 v'2 t tdim. (TensorType t, OneOf '[Int32, Int64] tdim) => OpParams -> Tensor v'1 t -> Tensor v'2 tdim -> Tensor Build t

experimentalAssertNextDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor Build Variant
experimentalAssertNextDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor Build Variant

experimentalAutoShardDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor Build Variant
experimentalAutoShardDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor Build Variant

experimentalBytesProducedStatsDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor Build Variant
experimentalBytesProducedStatsDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor Build Variant

experimentalCSVDataset :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 output_types m'. (MonadBuild m', OneOfs '[ByteString, Int32, Int64, Double, Float] output_types) => Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 Int64 -> Tensor v'4 Bool -> Tensor v'5 ByteString -> Tensor v'6 Bool -> Tensor v'7 ByteString -> Tensor v'8 Int64 -> TensorList v'9 output_types -> m' (Tensor Value Variant)
experimentalCSVDataset' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 output_types m'. (MonadBuild m', OneOfs '[ByteString, Int32, Int64, Double, Float] output_types) => OpParams -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 Int64 -> Tensor v'4 Bool -> Tensor v'5 ByteString -> Tensor v'6 Bool -> Tensor v'7 ByteString -> Tensor v'8 Int64 -> TensorList v'9 output_types -> m' (Tensor Value Variant)

experimentalChooseFastestDataset :: Int64 -> [DataType] -> [Tensor v'1 Variant] -> Tensor Build Variant
experimentalChooseFastestDataset' :: OpParams -> Int64 -> [DataType] -> [Tensor v'1 Variant] -> Tensor Build Variant

experimentalDatasetCardinality :: Tensor v'1 Variant -> Tensor Build Int64
experimentalDatasetCardinality' :: OpParams -> Tensor v'1 Variant -> Tensor Build Int64

experimentalDatasetToTFRecord :: forall v'1 v'2 v'3 m'. MonadBuild m' => Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> m' ControlNode
experimentalDatasetToTFRecord' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> m' ControlNode

experimentalDenseToSparseBatchDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor Build Variant
experimentalDenseToSparseBatchDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor Build Variant

experimentalDirectedInterleaveDataset :: [DataType] -> Tensor v'1 Variant -> [Tensor v'2 Variant] -> Tensor Build Variant
experimentalDirectedInterleaveDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> [Tensor v'2 Variant] -> Tensor Build Variant

experimentalIgnoreErrorsDataset :: [DataType] -> Tensor v'1 Variant -> Tensor Build Variant
experimentalIgnoreErrorsDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor Build Variant

experimentalIteratorGetDevice :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value ByteString)
experimentalIteratorGetDevice' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value ByteString)

experimentalLMDBDataset :: forall v'1 m'. MonadBuild m' => [DataType] -> Tensor v'1 ByteString -> m' (Tensor Value Variant)
experimentalLMDBDataset' :: forall v'1 m'. MonadBuild m' => OpParams -> [DataType] -> Tensor v'1 ByteString -> m' (Tensor Value Variant)

experimentalLatencyStatsDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor Build Variant
experimentalLatencyStatsDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor Build Variant

experimentalMatchingFilesDataset :: forall v'1 m'. MonadBuild m' => Tensor v'1 ByteString -> m' (Tensor Value Variant)
experimentalMatchingFilesDataset' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ByteString -> m' (Tensor Value Variant)

experimentalMaxIntraOpParallelismDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant
experimentalMaxIntraOpParallelismDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant

experimentalNonSerializableDataset :: [DataType] -> Tensor v'1 Variant -> Tensor Build Variant
experimentalNonSerializableDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor Build Variant

experimentalParseExampleDataset :: forall v'1 v'2 v'3 tdense. OneOfs '[ByteString, Int64, Float] tdense => [DataType] -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> TensorList v'3 tdense -> Tensor Build Variant
experimentalParseExampleDataset' :: forall v'1 v'2 v'3 tdense. OneOfs '[ByteString, Int64, Float] tdense => OpParams -> [DataType] -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> TensorList v'3 tdense -> Tensor Build Variant

experimentalPrivateThreadPoolDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant
experimentalPrivateThreadPoolDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant

experimentalRandomDataset :: forall v'1 v'2 m'. MonadBuild m' => [DataType] -> Tensor v'1 Int64 -> Tensor v'2 Int64 -> m' (Tensor Value Variant)
experimentalRandomDataset' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> [DataType] -> Tensor v'1 Int64 -> Tensor v'2 Int64 -> m' (Tensor Value Variant)

experimentalRebatchDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant
experimentalRebatchDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant

experimentalSetStatsAggregatorDataset :: forall v'1 v'2 v'3 v'4 m'. MonadBuild m' => [DataType] -> Tensor v'1 Variant -> Tensor v'2 ResourceHandle -> Tensor v'3 ByteString -> Tensor v'4 ByteString -> m' (Tensor Value Variant)
experimentalSetStatsAggregatorDataset' :: forall v'1 v'2 v'3 v'4 m'. MonadBuild m' => OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 ResourceHandle -> Tensor v'3 ByteString -> Tensor v'4 ByteString -> m' (Tensor Value Variant)

experimentalSleepDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant
experimentalSleepDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant

experimentalSlidingWindowDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor Build Variant
experimentalSlidingWindowDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor Build Variant

experimentalSqlDataset :: forall v'1 v'2 v'3 m'. MonadBuild m' => [DataType] -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> m' (Tensor Value Variant)
experimentalSqlDataset' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> [DataType] -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> m' (Tensor Value Variant)

experimentalStatsAggregatorHandle :: forall m'. MonadBuild m' => m' (Tensor Value ResourceHandle)
experimentalStatsAggregatorHandle' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Value ResourceHandle)

experimentalStatsAggregatorSummary :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value ByteString)
experimentalStatsAggregatorSummary' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value ByteString)

experimentalThreadPoolDataset :: forall v'1 v'2 m'. MonadBuild m' => [DataType] -> Tensor v'1 Variant -> Tensor v'2 ResourceHandle -> m' (Tensor Value Variant)
experimentalThreadPoolDataset' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 ResourceHandle -> m' (Tensor Value Variant)

experimentalThreadPoolHandle :: forall m'. MonadBuild m' => ByteString -> Int64 -> m' (Tensor Value ResourceHandle)
experimentalThreadPoolHandle' :: forall m'. MonadBuild m' => OpParams -> ByteString -> Int64 -> m' (Tensor Value ResourceHandle)

experimentalUnbatchDataset :: [DataType] -> Tensor v'1 Variant -> Tensor Build Variant
experimentalUnbatchDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor Build Variant

experimentalUniqueDataset :: [DataType] -> Tensor v'1 Variant -> Tensor Build Variant
experimentalUniqueDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor Build Variant

expint :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
expint' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

expm1 :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
expm1' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

extractGlimpse :: Tensor v'1 Float -> Tensor v'2 Int32 -> Tensor v'3 Float -> Tensor Build Float
extractGlimpse' :: OpParams -> Tensor v'1 Float -> Tensor v'2 Int32 -> Tensor v'3 Float -> Tensor Build Float

extractGlimpseV2 :: Tensor v'1 Float -> Tensor v'2 Int32 -> Tensor v'3 Float -> Tensor Build Float
extractGlimpseV2' :: OpParams -> Tensor v'1 Float -> Tensor v'2 Int32 -> Tensor v'3 Float -> Tensor Build Float

extractImagePatches :: forall v'1 t. OneOf '[Complex Double, Complex Float, Bool, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor Build t
extractImagePatches' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Bool, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor Build t

extractJpegShape :: forall v'1 output_type. OneOf '[Int32, Int64] output_type => Tensor v'1 ByteString -> Tensor Build output_type
extractJpegShape' :: forall v'1 output_type. OneOf '[Int32, Int64] output_type => OpParams -> Tensor v'1 ByteString -> Tensor Build output_type

extractVolumePatches :: forall v'1 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor Build t
extractVolumePatches' :: forall v'1 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor Build t

fFT :: forall v'1 tcomplex. OneOf '[Complex Double, Complex Float] tcomplex => Tensor v'1 tcomplex -> Tensor Build tcomplex
fFT' :: forall v'1 tcomplex. OneOf '[Complex Double, Complex Float] tcomplex => OpParams -> Tensor v'1 tcomplex -> Tensor Build tcomplex

fFT2D :: forall v'1 tcomplex. OneOf '[Complex Double, Complex Float] tcomplex => Tensor v'1 tcomplex -> Tensor Build tcomplex
fFT2D' :: forall v'1 tcomplex. OneOf '[Complex Double, Complex Float] tcomplex => OpParams -> Tensor v'1 tcomplex -> Tensor Build tcomplex

fFT3D :: forall v'1 tcomplex. OneOf '[Complex Double, Complex Float] tcomplex => Tensor v'1 tcomplex -> Tensor Build tcomplex
fFT3D' :: forall v'1 tcomplex. OneOf '[Complex Double, Complex Float] tcomplex => OpParams -> Tensor v'1 tcomplex -> Tensor Build tcomplex

fIFOQueue :: forall m'. MonadBuild m' => [DataType] -> m' (Tensor Ref ByteString)
fIFOQueue' :: forall m'. MonadBuild m' => OpParams -> [DataType] -> m' (Tensor Ref ByteString)

fIFOQueueV2 :: forall m'. MonadBuild m' => [DataType] -> m' (Tensor Value ResourceHandle)
fIFOQueueV2' :: forall m'. MonadBuild m' => OpParams -> [DataType] -> m' (Tensor Value ResourceHandle)

fact :: Tensor Build ByteString
fact' :: OpParams -> Tensor Build ByteString

fakeParam :: forall dtype. TensorType dtype => Shape -> Tensor Build dtype
fakeParam' :: forall dtype. TensorType dtype => OpParams -> Shape -> Tensor Build dtype

fakeQuantWithMinMaxArgs :: Tensor v'1 Float -> Tensor Build Float
fakeQuantWithMinMaxArgs' :: OpParams -> Tensor v'1 Float -> Tensor Build Float

fakeQuantWithMinMaxArgsGradient :: Tensor v'1 Float -> Tensor v'2 Float -> Tensor Build Float
fakeQuantWithMinMaxArgsGradient' :: OpParams -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor Build Float

fakeQuantWithMinMaxVars :: Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor Build Float
fakeQuantWithMinMaxVars' :: OpParams -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor Build Float

fakeQuantWithMinMaxVarsGradient :: Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> (Tensor Build Float, Tensor Build Float, Tensor Build Float)
fakeQuantWithMinMaxVarsGradient' :: OpParams -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> (Tensor Build Float, Tensor Build Float, Tensor Build Float)

fakeQuantWithMinMaxVarsPerChannel :: Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor Build Float
fakeQuantWithMinMaxVarsPerChannel' :: OpParams -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor Build Float

fakeQuantWithMinMaxVarsPerChannelGradient :: Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> (Tensor Build Float, Tensor Build Float, Tensor Build Float)
fakeQuantWithMinMaxVarsPerChannelGradient' :: OpParams -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> (Tensor Build Float, Tensor Build Float, Tensor Build Float)

fakeQueue :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Ref ByteString)
fakeQueue' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Ref ByteString)

fill :: forall v'1 v'2 t index_type. (TensorType t, OneOf '[Int32, Int64] index_type) => Tensor v'1 index_type -> Tensor v'2 t -> Tensor Build t
fill' :: forall v'1 v'2 t index_type. (TensorType t, OneOf '[Int32, Int64] index_type) => OpParams -> Tensor v'1 index_type -> Tensor v'2 t -> Tensor Build t

filterByLastComponentDataset :: [DataType] -> Tensor v'1 Variant -> Tensor Build Variant
filterByLastComponentDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor Build Variant

fingerprint :: forall v'1 v'2 t. TensorType t => Tensor v'1 t -> Tensor v'2 ByteString -> Tensor Build Word8
fingerprint' :: forall v'1 v'2 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor v'2 ByteString -> Tensor Build Word8

fixedLengthRecordDataset :: forall v'1 v'2 v'3 v'4 v'5 m'. MonadBuild m' => Tensor v'1 ByteString -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 Int64 -> m' (Tensor Value Variant)
fixedLengthRecordDataset' :: forall v'1 v'2 v'3 v'4 v'5 m'. MonadBuild m' => OpParams -> Tensor v'1 ByteString -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 Int64 -> m' (Tensor Value Variant)

fixedLengthRecordDatasetV2 :: forall v'1 v'2 v'3 v'4 v'5 v'6 m'. MonadBuild m' => Tensor v'1 ByteString -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 Int64 -> Tensor v'6 ByteString -> m' (Tensor Value Variant)
fixedLengthRecordDatasetV2' :: forall v'1 v'2 v'3 v'4 v'5 v'6 m'. MonadBuild m' => OpParams -> Tensor v'1 ByteString -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 Int64 -> Tensor v'6 ByteString -> m' (Tensor Value Variant)

fixedLengthRecordReader :: forall m'. MonadBuild m' => Int64 -> m' (Tensor Ref ByteString)
fixedLengthRecordReader' :: forall m'. MonadBuild m' => OpParams -> Int64 -> m' (Tensor Ref ByteString)

fixedLengthRecordReaderV2 :: forall m'. MonadBuild m' => Int64 -> m' (Tensor Value ResourceHandle)
fixedLengthRecordReaderV2' :: forall m'. MonadBuild m' => OpParams -> Int64 -> m' (Tensor Value ResourceHandle)

fixedUnigramCandidateSampler :: forall v'1 m'. MonadBuild m' => Int64 -> Int64 -> Int64 -> Bool -> Tensor v'1 Int64 -> m' (Tensor Value Int64, Tensor Value Float, Tensor Value Float)
fixedUnigramCandidateSampler' :: forall v'1 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Int64 -> Bool -> Tensor v'1 Int64 -> m' (Tensor Value Int64, Tensor Value Float, Tensor Value Float)

floor :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
floor' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

floorDiv :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
floorDiv' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

floorMod :: forall v'1 v'2 t. OneOf '[Int32, Int64, Word16, Word64, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
floorMod' :: forall v'1 v'2 t. OneOf '[Int32, Int64, Word16, Word64, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

flushSummaryWriter :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' ControlNode
flushSummaryWriter' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' ControlNode

fractionalAvgPool :: forall v'1 t. OneOf '[Int32, Int64, Double, Float] t => Tensor v'1 t -> (Tensor Build t, Tensor Build Int64, Tensor Build Int64)
fractionalAvgPool' :: forall v'1 t. OneOf '[Int32, Int64, Double, Float] t => OpParams -> Tensor v'1 t -> (Tensor Build t, Tensor Build Int64, Tensor Build Int64)

fractionalAvgPoolGrad :: forall v'1 v'2 v'3 v'4 t. OneOf '[Int32, Int64, Double, Float] t => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor Build t
fractionalAvgPoolGrad' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Int32, Int64, Double, Float] t => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor Build t

fractionalMaxPool :: forall v'1 t. OneOf '[Int32, Int64, Double, Float] t => Tensor v'1 t -> (Tensor Build t, Tensor Build Int64, Tensor Build Int64)
fractionalMaxPool' :: forall v'1 t. OneOf '[Int32, Int64, Double, Float] t => OpParams -> Tensor v'1 t -> (Tensor Build t, Tensor Build Int64, Tensor Build Int64)

fractionalMaxPoolGrad :: forall v'1 v'2 v'3 v'4 v'5 t. OneOf '[Int32, Int64, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 Int64 -> Tensor v'5 Int64 -> Tensor Build t
fractionalMaxPoolGrad' :: forall v'1 v'2 v'3 v'4 v'5 t. OneOf '[Int32, Int64, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 Int64 -> Tensor v'5 Int64 -> Tensor Build t

fresnelCos :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
fresnelCos' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

fresnelSin :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
fresnelSin' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

fusedBatchNorm :: forall v'1 v'2 v'3 v'4 v'5 t. OneOf '[Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)
fusedBatchNorm' :: forall v'1 v'2 v'3 v'4 v'5 t. OneOf '[Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)

fusedBatchNormGrad :: forall v'1 v'2 v'3 v'4 v'5 t. OneOf '[Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)
fusedBatchNormGrad' :: forall v'1 v'2 v'3 v'4 v'5 t. OneOf '[Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)

fusedBatchNormGradV2 :: forall v'1 v'2 v'3 v'4 v'5 t u. (OneOf '[Word16, Float] t, OneOf '[Float] u) => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Float -> Tensor v'4 u -> Tensor v'5 u -> (Tensor Build t, Tensor Build u, Tensor Build u, Tensor Build u, Tensor Build u)
fusedBatchNormGradV2' :: forall v'1 v'2 v'3 v'4 v'5 t u. (OneOf '[Word16, Float] t, OneOf '[Float] u) => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Float -> Tensor v'4 u -> Tensor v'5 u -> (Tensor Build t, Tensor Build u, Tensor Build u, Tensor Build u, Tensor Build u)

fusedBatchNormGradV3 :: forall v'1 v'2 v'3 v'4 v'5 v'6 t u. (OneOf '[Word16, Float] t, OneOf '[Float] u) => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Float -> Tensor v'4 u -> Tensor v'5 u -> Tensor v'6 u -> (Tensor Build t, Tensor Build u, Tensor Build u, Tensor Build u, Tensor Build u)
fusedBatchNormGradV3' :: forall v'1 v'2 v'3 v'4 v'5 v'6 t u. (OneOf '[Word16, Float] t, OneOf '[Float] u) => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Float -> Tensor v'4 u -> Tensor v'5 u -> Tensor v'6 u -> (Tensor Build t, Tensor Build u, Tensor Build u, Tensor Build u, Tensor Build u)

fusedBatchNormV2 :: forall v'1 v'2 v'3 v'4 v'5 t u. (OneOf '[Word16, Float] t, OneOf '[Float] u) => Tensor v'1 t -> Tensor v'2 u -> Tensor v'3 u -> Tensor v'4 u -> Tensor v'5 u -> (Tensor Build t, Tensor Build u, Tensor Build u, Tensor Build u, Tensor Build u)
fusedBatchNormV2' :: forall v'1 v'2 v'3 v'4 v'5 t u. (OneOf '[Word16, Float] t, OneOf '[Float] u) => OpParams -> Tensor v'1 t -> Tensor v'2 u -> Tensor v'3 u -> Tensor v'4 u -> Tensor v'5 u -> (Tensor Build t, Tensor Build u, Tensor Build u, Tensor Build u, Tensor Build u)

fusedBatchNormV3 :: forall v'1 v'2 v'3 v'4 v'5 t u. (OneOf '[Word16, Float] t, OneOf '[Float] u) => Tensor v'1 t -> Tensor v'2 u -> Tensor v'3 u -> Tensor v'4 u -> Tensor v'5 u -> (Tensor Build t, Tensor Build u, Tensor Build u, Tensor Build u, Tensor Build u, Tensor Build u)
fusedBatchNormV3' :: forall v'1 v'2 v'3 v'4 v'5 t u. (OneOf '[Word16, Float] t, OneOf '[Float] u) => OpParams -> Tensor v'1 t -> Tensor v'2 u -> Tensor v'3 u -> Tensor v'4 u -> Tensor v'5 u -> (Tensor Build t, Tensor Build u, Tensor Build u, Tensor Build u, Tensor Build u, Tensor Build u)

fusedPadConv2D :: forall v'1 v'2 v'3 t. OneOf '[Word16, Double, Float] t => ByteString -> ByteString -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor Build t
fusedPadConv2D' :: forall v'1 v'2 v'3 t. OneOf '[Word16, Double, Float] t => OpParams -> ByteString -> ByteString -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor Build t

fusedResizeAndPadConv2D :: forall v'1 v'2 v'3 v'4 t. OneOf '[Word16, Double, Float] t => ByteString -> ByteString -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor v'4 t -> Tensor Build t
fusedResizeAndPadConv2D' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Word16, Double, Float] t => OpParams -> ByteString -> ByteString -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor v'4 t -> Tensor Build t

gRUBlockCell :: forall v'1 v'2 v'3 v'4 v'5 v'6 t. OneOf '[Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)
gRUBlockCell' :: forall v'1 v'2 v'3 v'4 v'5 v'6 t. OneOf '[Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)

gRUBlockCellGrad :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 t. OneOf '[Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)
gRUBlockCellGrad' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 t. OneOf '[Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)

gather :: forall v'1 v'2 tparams tindices. (TensorType tparams, OneOf '[Int32, Int64] tindices) => Tensor v'1 tparams -> Tensor v'2 tindices -> Tensor Build tparams
gather' :: forall v'1 v'2 tparams tindices. (TensorType tparams, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 tparams -> Tensor v'2 tindices -> Tensor Build tparams

gatherNd :: forall v'1 v'2 tparams tindices. (TensorType tparams, OneOf '[Int32, Int64] tindices) => Tensor v'1 tparams -> Tensor v'2 tindices -> Tensor Build tparams
gatherNd' :: forall v'1 v'2 tparams tindices. (TensorType tparams, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 tparams -> Tensor v'2 tindices -> Tensor Build tparams

gatherV2 :: forall v'1 v'2 v'3 tparams tindices taxis. (TensorType tparams, OneOf '[Int32, Int64] tindices, OneOf '[Int32, Int64] taxis) => Tensor v'1 tparams -> Tensor v'2 tindices -> Tensor v'3 taxis -> Tensor Build tparams
gatherV2' :: forall v'1 v'2 v'3 tparams tindices taxis. (TensorType tparams, OneOf '[Int32, Int64] tindices, OneOf '[Int32, Int64] taxis) => OpParams -> Tensor v'1 tparams -> Tensor v'2 tindices -> Tensor v'3 taxis -> Tensor Build tparams

generateBoundingBoxProposals :: Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Int32 -> Tensor v'7 Float -> (Tensor Build Float, Tensor Build Float)
generateBoundingBoxProposals' :: OpParams -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Int32 -> Tensor v'7 Float -> (Tensor Build Float, Tensor Build Float)

generateVocabRemapping :: Int64 -> Int64 -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> (Tensor Build Int64, Tensor Build Int32)
generateVocabRemapping' :: OpParams -> Int64 -> Int64 -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> (Tensor Build Int64, Tensor Build Int32)

getSessionHandle :: forall v'1 t m'. (MonadBuild m', TensorType t) => Tensor v'1 t -> m' (Tensor Value ByteString)
getSessionHandle' :: forall v'1 t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor v'1 t -> m' (Tensor Value ByteString)

getSessionHandleV2 :: forall v'1 t m'. (MonadBuild m', TensorType t) => Tensor v'1 t -> m' (Tensor Value ResourceHandle)
getSessionHandleV2' :: forall v'1 t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor v'1 t -> m' (Tensor Value ResourceHandle)

getSessionTensor :: forall v'1 dtype m'. (MonadBuild m', TensorType dtype) => Tensor v'1 ByteString -> m' (Tensor Value dtype)
getSessionTensor' :: forall v'1 dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Tensor v'1 ByteString -> m' (Tensor Value dtype)

greater :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build Bool
greater' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build Bool

greaterEqual :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build Bool
greaterEqual' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build Bool

guaranteeConst :: forall v'1 t m'. (MonadBuild m', TensorType t) => Tensor v'1 t -> m' (Tensor Value t)
guaranteeConst' :: forall v'1 t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor v'1 t -> m' (Tensor Value t)

hSVToRGB :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
hSVToRGB' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

hashTable :: forall m'. MonadBuild m' => DataType -> DataType -> m' (Tensor Ref ByteString)
hashTable' :: forall m'. MonadBuild m' => OpParams -> DataType -> DataType -> m' (Tensor Ref ByteString)

hashTableV2 :: forall m'. MonadBuild m' => DataType -> DataType -> m' (Tensor Value ResourceHandle)
hashTableV2' :: forall m'. MonadBuild m' => OpParams -> DataType -> DataType -> m' (Tensor Value ResourceHandle)

histogramFixedWidth :: forall v'1 v'2 v'3 t dtype. (OneOf '[Int32, Int64, Double, Float] t, OneOf '[Int32, Int64] dtype) => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Int32 -> Tensor Build dtype
histogramFixedWidth' :: forall v'1 v'2 v'3 t dtype. (OneOf '[Int32, Int64, Double, Float] t, OneOf '[Int32, Int64] dtype) => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Int32 -> Tensor Build dtype

histogramSummary :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 ByteString -> Tensor v'2 t -> Tensor Build ByteString
histogramSummary' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 ByteString -> Tensor v'2 t -> Tensor Build ByteString

hostConst :: forall dtype. TensorType dtype => Tensor Build dtype
hostConst' :: forall dtype. TensorType dtype => OpParams -> Tensor Build dtype

iFFT :: forall v'1 tcomplex. OneOf '[Complex Double, Complex Float] tcomplex => Tensor v'1 tcomplex -> Tensor Build tcomplex
iFFT' :: forall v'1 tcomplex. OneOf '[Complex Double, Complex Float] tcomplex => OpParams -> Tensor v'1 tcomplex -> Tensor Build tcomplex

iFFT2D :: forall v'1 tcomplex. OneOf '[Complex Double, Complex Float] tcomplex => Tensor v'1 tcomplex -> Tensor Build tcomplex
iFFT2D' :: forall v'1 tcomplex. OneOf '[Complex Double, Complex Float] tcomplex => OpParams -> Tensor v'1 tcomplex -> Tensor Build tcomplex

iFFT3D :: forall v'1 tcomplex. OneOf '[Complex Double, Complex Float] tcomplex => Tensor v'1 tcomplex -> Tensor Build tcomplex
iFFT3D' :: forall v'1 tcomplex. OneOf '[Complex Double, Complex Float] tcomplex => OpParams -> Tensor v'1 tcomplex -> Tensor Build tcomplex

iRFFT :: forall v'1 v'2 treal tcomplex. (OneOf '[Double, Float] treal, OneOf '[Complex Double, Complex Float] tcomplex) => Tensor v'1 tcomplex -> Tensor v'2 Int32 -> Tensor Build treal
iRFFT' :: forall v'1 v'2 treal tcomplex. (OneOf '[Double, Float] treal, OneOf '[Complex Double, Complex Float] tcomplex) => OpParams -> Tensor v'1 tcomplex -> Tensor v'2 Int32 -> Tensor Build treal

iRFFT2D :: forall v'1 v'2 treal tcomplex. (OneOf '[Double, Float] treal, OneOf '[Complex Double, Complex Float] tcomplex) => Tensor v'1 tcomplex -> Tensor v'2 Int32 -> Tensor Build treal
iRFFT2D' :: forall v'1 v'2 treal tcomplex. (OneOf '[Double, Float] treal, OneOf '[Complex Double, Complex Float] tcomplex) => OpParams -> Tensor v'1 tcomplex -> Tensor v'2 Int32 -> Tensor Build treal

iRFFT3D :: forall v'1 v'2 treal tcomplex. (OneOf '[Double, Float] treal, OneOf '[Complex Double, Complex Float] tcomplex) => Tensor v'1 tcomplex -> Tensor v'2 Int32 -> Tensor Build treal
iRFFT3D' :: forall v'1 v'2 treal tcomplex. (OneOf '[Double, Float] treal, OneOf '[Complex Double, Complex Float] tcomplex) => OpParams -> Tensor v'1 tcomplex -> Tensor v'2 Int32 -> Tensor Build treal

identity :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build t
identity' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build t

identityN :: forall v'1 t. TensorTypes t => TensorList v'1 t -> TensorList Build t
identityN' :: forall v'1 t. TensorTypes t => OpParams -> TensorList v'1 t -> TensorList Build t

identityReader :: forall m'. MonadBuild m' => m' (Tensor Ref ByteString)
identityReader' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Ref ByteString)

identityReaderV2 :: forall m'. MonadBuild m' => m' (Tensor Value ResourceHandle)
identityReaderV2' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Value ResourceHandle)

igamma :: forall v'1 v'2 t. OneOf '[Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
igamma' :: forall v'1 v'2 t. OneOf '[Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

igammaGradA :: forall v'1 v'2 t. OneOf '[Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
igammaGradA' :: forall v'1 v'2 t. OneOf '[Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

igammac :: forall v'1 v'2 t. OneOf '[Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
igammac' :: forall v'1 v'2 t. OneOf '[Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

ignoreErrorsDataset :: [DataType] -> Tensor v'1 Variant -> Tensor Build Variant
ignoreErrorsDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor Build Variant

imag :: forall v'1 t tout. (OneOf '[Complex Double, Complex Float] t, OneOf '[Double, Float] tout) => Tensor v'1 t -> Tensor Build tout
imag' :: forall v'1 t tout. (OneOf '[Complex Double, Complex Float] t, OneOf '[Double, Float] tout) => OpParams -> Tensor v'1 t -> Tensor Build tout

imageProjectiveTransformV2 :: forall v'1 v'2 v'3 dtype. OneOf '[Int32, Int64, Word16, Word8, Double, Float] dtype => ByteString -> Tensor v'1 dtype -> Tensor v'2 Float -> Tensor v'3 Int32 -> Tensor Build dtype
imageProjectiveTransformV2' :: forall v'1 v'2 v'3 dtype. OneOf '[Int32, Int64, Word16, Word8, Double, Float] dtype => OpParams -> ByteString -> Tensor v'1 dtype -> Tensor v'2 Float -> Tensor v'3 Int32 -> Tensor Build dtype

imageSummary :: forall v'1 v'2 t. OneOf '[Word16, Word8, Double, Float] t => Tensor v'1 ByteString -> Tensor v'2 t -> Tensor Build ByteString
imageSummary' :: forall v'1 v'2 t. OneOf '[Word16, Word8, Double, Float] t => OpParams -> Tensor v'1 ByteString -> Tensor v'2 t -> Tensor Build ByteString

immutableConst :: forall dtype. TensorType dtype => ByteString -> Shape -> Tensor Build dtype
immutableConst' :: forall dtype. TensorType dtype => OpParams -> ByteString -> Shape -> Tensor Build dtype

importEvent :: forall v'1 v'2 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 ByteString -> m' ControlNode
importEvent' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ByteString -> m' ControlNode

inTopK :: forall v'1 v'2 t. OneOf '[Int32, Int64] t => Int64 -> Tensor v'1 Float -> Tensor v'2 t -> Tensor Build Bool
inTopK' :: forall v'1 v'2 t. OneOf '[Int32, Int64] t => OpParams -> Int64 -> Tensor v'1 Float -> Tensor v'2 t -> Tensor Build Bool

inTopKV2 :: forall v'1 v'2 v'3 t. OneOf '[Int32, Int64] t => Tensor v'1 Float -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build Bool
inTopKV2' :: forall v'1 v'2 v'3 t. OneOf '[Int32, Int64] t => OpParams -> Tensor v'1 Float -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build Bool

infeedDequeue :: forall dtype m'. (MonadBuild m', TensorType dtype) => Shape -> m' (Tensor Value dtype)
infeedDequeue' :: forall dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Shape -> m' (Tensor Value dtype)

infeedDequeueTuple :: forall dtypes m'. (MonadBuild m', TensorTypes dtypes) => m' (TensorList Value dtypes)
infeedDequeueTuple' :: forall dtypes m'. (MonadBuild m', TensorTypes dtypes) => OpParams -> m' (TensorList Value dtypes)

infeedEnqueue :: forall v'1 dtype m'. (MonadBuild m', TensorType dtype) => Tensor v'1 dtype -> m' ControlNode
infeedEnqueue' :: forall v'1 dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Tensor v'1 dtype -> m' ControlNode

infeedEnqueuePrelinearizedBuffer :: forall v'1 m'. MonadBuild m' => Tensor v'1 Variant -> m' ControlNode
infeedEnqueuePrelinearizedBuffer' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 Variant -> m' ControlNode

infeedEnqueueTuple :: forall v'1 dtypes m'. (MonadBuild m', TensorTypes dtypes) => TensorList v'1 dtypes -> m' ControlNode
infeedEnqueueTuple' :: forall v'1 dtypes m'. (MonadBuild m', TensorTypes dtypes) => OpParams -> TensorList v'1 dtypes -> m' ControlNode

initializeTable :: forall v'2 v'3 tkey tval m'. (MonadBuild m', TensorType tkey, TensorType tval) => Tensor Ref ByteString -> Tensor v'2 tkey -> Tensor v'3 tval -> m' ControlNode
initializeTable' :: forall v'2 v'3 tkey tval m'. (MonadBuild m', TensorType tkey, TensorType tval) => OpParams -> Tensor Ref ByteString -> Tensor v'2 tkey -> Tensor v'3 tval -> m' ControlNode

initializeTableFromDataset :: forall v'1 v'2 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 Variant -> m' ControlNode
initializeTableFromDataset' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Variant -> m' ControlNode

initializeTableFromTextFile :: forall v'2 m'. MonadBuild m' => Int64 -> Int64 -> Tensor Ref ByteString -> Tensor v'2 ByteString -> m' ControlNode
initializeTableFromTextFile' :: forall v'2 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor Ref ByteString -> Tensor v'2 ByteString -> m' ControlNode

initializeTableFromTextFileV2 :: forall v'1 v'2 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 ResourceHandle -> Tensor v'2 ByteString -> m' ControlNode
initializeTableFromTextFileV2' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 ResourceHandle -> Tensor v'2 ByteString -> m' ControlNode

initializeTableV2 :: forall v'1 v'2 v'3 tkey tval m'. (MonadBuild m', TensorType tkey, TensorType tval) => Tensor v'1 ResourceHandle -> Tensor v'2 tkey -> Tensor v'3 tval -> m' ControlNode
initializeTableV2' :: forall v'1 v'2 v'3 tkey tval m'. (MonadBuild m', TensorType tkey, TensorType tval) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 tkey -> Tensor v'3 tval -> m' ControlNode

inplaceAdd :: forall v'1 v'2 v'3 t. TensorType t => Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor Build t
inplaceAdd' :: forall v'1 v'2 v'3 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor Build t

inplaceSub :: forall v'1 v'2 v'3 t. TensorType t => Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor Build t
inplaceSub' :: forall v'1 v'2 v'3 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor Build t

inplaceUpdate :: forall v'1 v'2 v'3 t. TensorType t => Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor Build t
inplaceUpdate' :: forall v'1 v'2 v'3 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor Build t

inv :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
inv' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

invGrad :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
invGrad' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

invert :: forall v'1 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8] t => Tensor v'1 t -> Tensor Build t
invert' :: forall v'1 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8] t => OpParams -> Tensor v'1 t -> Tensor Build t

invertPermutation :: forall v'1 t. OneOf '[Int32, Int64] t => Tensor v'1 t -> Tensor Build t
invertPermutation' :: forall v'1 t. OneOf '[Int32, Int64] t => OpParams -> Tensor v'1 t -> Tensor Build t

isBoostedTreesEnsembleInitialized :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value Bool)
isBoostedTreesEnsembleInitialized' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value Bool)

isBoostedTreesQuantileStreamResourceInitialized :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value Bool)
isBoostedTreesQuantileStreamResourceInitialized' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value Bool)

isFinite :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build Bool
isFinite' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build Bool

isInf :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build Bool
isInf' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build Bool

isNan :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build Bool
isNan' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build Bool

isVariableInitialized :: forall dtype m'. (MonadBuild m', TensorType dtype) => Tensor Ref dtype -> m' (Tensor Value Bool)
isVariableInitialized' :: forall dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Tensor Ref dtype -> m' (Tensor Value Bool)

iterator :: forall m'. MonadBuild m' => ByteString -> [DataType] -> ByteString -> m' (Tensor Value ResourceHandle)
iterator' :: forall m'. MonadBuild m' => OpParams -> ByteString -> [DataType] -> ByteString -> m' (Tensor Value ResourceHandle)

iteratorFromStringHandle :: forall v'1 m'. MonadBuild m' => Tensor v'1 ByteString -> m' (Tensor Value ResourceHandle)
iteratorFromStringHandle' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ByteString -> m' (Tensor Value ResourceHandle)

iteratorFromStringHandleV2 :: forall v'1 m'. MonadBuild m' => Tensor v'1 ByteString -> m' (Tensor Value ResourceHandle)
iteratorFromStringHandleV2' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ByteString -> m' (Tensor Value ResourceHandle)

iteratorGetDevice :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value ByteString)
iteratorGetDevice' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value ByteString)

iteratorGetNext :: forall v'1 output_types m'. (MonadBuild m', TensorTypes output_types) => Tensor v'1 ResourceHandle -> m' (TensorList Value output_types)
iteratorGetNext' :: forall v'1 output_types m'. (MonadBuild m', TensorTypes output_types) => OpParams -> Tensor v'1 ResourceHandle -> m' (TensorList Value output_types)

iteratorGetNextAsOptional :: forall v'1 m'. MonadBuild m' => [DataType] -> Tensor v'1 ResourceHandle -> m' (Tensor Value Variant)
iteratorGetNextAsOptional' :: forall v'1 m'. MonadBuild m' => OpParams -> [DataType] -> Tensor v'1 ResourceHandle -> m' (Tensor Value Variant)

iteratorGetNextSync :: forall v'1 output_types m'. (MonadBuild m', TensorTypes output_types) => Tensor v'1 ResourceHandle -> m' (TensorList Value output_types)
iteratorGetNextSync' :: forall v'1 output_types m'. (MonadBuild m', TensorTypes output_types) => OpParams -> Tensor v'1 ResourceHandle -> m' (TensorList Value output_types)

iteratorToStringHandle :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value ByteString)
iteratorToStringHandle' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value ByteString)

iteratorV2 :: forall m'. MonadBuild m' => ByteString -> [DataType] -> ByteString -> m' (Tensor Value ResourceHandle)
iteratorV2' :: forall m'. MonadBuild m' => OpParams -> ByteString -> [DataType] -> ByteString -> m' (Tensor Value ResourceHandle)

kMC2ChainInitialization :: Tensor v'1 Float -> Tensor v'2 Int64 -> Tensor Build Int64
kMC2ChainInitialization' :: OpParams -> Tensor v'1 Float -> Tensor v'2 Int64 -> Tensor Build Int64

kmeansPlusPlusInitialization :: Tensor v'1 Float -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor Build Float
kmeansPlusPlusInitialization' :: OpParams -> Tensor v'1 Float -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor Build Float

l2Loss :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
l2Loss' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

lMDBDataset :: forall v'1 m'. MonadBuild m' => [DataType] -> Tensor v'1 ByteString -> m' (Tensor Value Variant)
lMDBDataset' :: forall v'1 m'. MonadBuild m' => OpParams -> [DataType] -> Tensor v'1 ByteString -> m' (Tensor Value Variant)

lMDBReader :: forall m'. MonadBuild m' => m' (Tensor Ref ByteString)
lMDBReader' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Ref ByteString)

lRN :: forall v'1 t. OneOf '[Word16, Float] t => Tensor v'1 t -> Tensor Build t
lRN' :: forall v'1 t. OneOf '[Word16, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

lRNGrad :: forall v'1 v'2 v'3 t. OneOf '[Word16, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t
lRNGrad' :: forall v'1 v'2 v'3 t. OneOf '[Word16, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t

lSTMBlockCell :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 t. OneOf '[Word16, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)
lSTMBlockCell' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 t. OneOf '[Word16, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)

lSTMBlockCellGrad :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 v'12 v'13 v'14 v'15 v'16 t. OneOf '[Word16, Float] t => Bool -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> Tensor v'11 t -> Tensor v'12 t -> Tensor v'13 t -> Tensor v'14 t -> Tensor v'15 t -> Tensor v'16 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)
lSTMBlockCellGrad' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 v'12 v'13 v'14 v'15 v'16 t. OneOf '[Word16, Float] t => OpParams -> Bool -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> Tensor v'11 t -> Tensor v'12 t -> Tensor v'13 t -> Tensor v'14 t -> Tensor v'15 t -> Tensor v'16 t -> (Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t, Tensor Build t)

latencyStatsDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor Build Variant
latencyStatsDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor Build Variant

leakyRelu :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
leakyRelu' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

leakyReluGrad :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
leakyReluGrad' :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

learnedUnigramCandidateSampler :: forall v'1 m'. MonadBuild m' => Int64 -> Int64 -> Int64 -> Bool -> Tensor v'1 Int64 -> m' (Tensor Value Int64, Tensor Value Float, Tensor Value Float)
learnedUnigramCandidateSampler' :: forall v'1 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Int64 -> Bool -> Tensor v'1 Int64 -> m' (Tensor Value Int64, Tensor Value Float, Tensor Value Float)

leftShift :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
leftShift' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

less :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build Bool
less' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build Bool

lessEqual :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build Bool
lessEqual' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build Bool

lgamma :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
lgamma' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

linSpace :: forall v'1 v'2 v'3 t tidx. (OneOf '[Word16, Double, Float] t, OneOf '[Int32, Int64] tidx) => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 tidx -> Tensor Build t
linSpace' :: forall v'1 v'2 v'3 t tidx. (OneOf '[Word16, Double, Float] t, OneOf '[Int32, Int64] tidx) => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 tidx -> Tensor Build t

listDiff :: forall v'1 v'2 t out_idx. (TensorType t, OneOf '[Int32, Int64] out_idx) => Tensor v'1 t -> Tensor v'2 t -> (Tensor Build t, Tensor Build out_idx)
listDiff' :: forall v'1 v'2 t out_idx. (TensorType t, OneOf '[Int32, Int64] out_idx) => OpParams -> Tensor v'1 t -> Tensor v'2 t -> (Tensor Build t, Tensor Build out_idx)

loadAndRemapMatrix :: forall v'1 v'2 v'3 v'4 v'5 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 Float -> m' (Tensor Value Float)
loadAndRemapMatrix' :: forall v'1 v'2 v'3 v'4 v'5 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 Float -> m' (Tensor Value Float)

loadTPUEmbeddingADAMParameters :: forall v'1 v'2 v'3 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> m' ControlNode
loadTPUEmbeddingADAMParameters' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> m' ControlNode

loadTPUEmbeddingADAMParametersGradAccumDebug :: forall v'1 v'2 v'3 v'4 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> m' ControlNode
loadTPUEmbeddingADAMParametersGradAccumDebug' :: forall v'1 v'2 v'3 v'4 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> m' ControlNode

loadTPUEmbeddingAdadeltaParameters :: forall v'1 v'2 v'3 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> m' ControlNode
loadTPUEmbeddingAdadeltaParameters' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> m' ControlNode

loadTPUEmbeddingAdadeltaParametersGradAccumDebug :: forall v'1 v'2 v'3 v'4 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> m' ControlNode
loadTPUEmbeddingAdadeltaParametersGradAccumDebug' :: forall v'1 v'2 v'3 v'4 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> m' ControlNode

loadTPUEmbeddingAdagradParameters :: forall v'1 v'2 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> m' ControlNode
loadTPUEmbeddingAdagradParameters' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> m' ControlNode

loadTPUEmbeddingAdagradParametersGradAccumDebug :: forall v'1 v'2 v'3 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> m' ControlNode
loadTPUEmbeddingAdagradParametersGradAccumDebug' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> m' ControlNode

loadTPUEmbeddingCenteredRMSPropParameters :: forall v'1 v'2 v'3 v'4 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> m' ControlNode
loadTPUEmbeddingCenteredRMSPropParameters' :: forall v'1 v'2 v'3 v'4 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> m' ControlNode

loadTPUEmbeddingFTRLParameters :: forall v'1 v'2 v'3 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> m' ControlNode
loadTPUEmbeddingFTRLParameters' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> m' ControlNode

loadTPUEmbeddingFTRLParametersGradAccumDebug :: forall v'1 v'2 v'3 v'4 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> m' ControlNode
loadTPUEmbeddingFTRLParametersGradAccumDebug' :: forall v'1 v'2 v'3 v'4 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> m' ControlNode

loadTPUEmbeddingMDLAdagradLightParameters :: forall v'1 v'2 v'3 v'4 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> m' ControlNode
loadTPUEmbeddingMDLAdagradLightParameters' :: forall v'1 v'2 v'3 v'4 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> m' ControlNode

loadTPUEmbeddingMomentumParameters :: forall v'1 v'2 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> m' ControlNode
loadTPUEmbeddingMomentumParameters' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> m' ControlNode

loadTPUEmbeddingMomentumParametersGradAccumDebug :: forall v'1 v'2 v'3 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> m' ControlNode
loadTPUEmbeddingMomentumParametersGradAccumDebug' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> m' ControlNode

loadTPUEmbeddingProximalAdagradParameters :: forall v'1 v'2 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> m' ControlNode
loadTPUEmbeddingProximalAdagradParameters' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> m' ControlNode

loadTPUEmbeddingProximalAdagradParametersGradAccumDebug :: forall v'1 v'2 v'3 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> m' ControlNode
loadTPUEmbeddingProximalAdagradParametersGradAccumDebug' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> m' ControlNode

loadTPUEmbeddingProximalYogiParameters :: forall v'1 v'2 v'3 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> m' ControlNode
loadTPUEmbeddingProximalYogiParameters' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> m' ControlNode

loadTPUEmbeddingProximalYogiParametersGradAccumDebug :: forall v'1 v'2 v'3 v'4 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> m' ControlNode
loadTPUEmbeddingProximalYogiParametersGradAccumDebug' :: forall v'1 v'2 v'3 v'4 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> m' ControlNode

loadTPUEmbeddingRMSPropParameters :: forall v'1 v'2 v'3 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> m' ControlNode
loadTPUEmbeddingRMSPropParameters' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> m' ControlNode

loadTPUEmbeddingRMSPropParametersGradAccumDebug :: forall v'1 v'2 v'3 v'4 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> m' ControlNode
loadTPUEmbeddingRMSPropParametersGradAccumDebug' :: forall v'1 v'2 v'3 v'4 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> m' ControlNode

loadTPUEmbeddingStochasticGradientDescentParameters :: forall v'1 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 Float -> m' ControlNode
loadTPUEmbeddingStochasticGradientDescentParameters' :: forall v'1 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> m' ControlNode

loadTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug :: forall v'1 v'2 m'. MonadBuild m' => Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> m' ControlNode
loadTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> m' ControlNode

log :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
log' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

log1p :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
log1p' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

logMatrixDeterminant :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> (Tensor Build t, Tensor Build t)
logMatrixDeterminant' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> (Tensor Build t, Tensor Build t)

logSoftmax :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
logSoftmax' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

logUniformCandidateSampler :: forall v'1 m'. MonadBuild m' => Int64 -> Int64 -> Int64 -> Bool -> Tensor v'1 Int64 -> m' (Tensor Value Int64, Tensor Value Float, Tensor Value Float)
logUniformCandidateSampler' :: forall v'1 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Int64 -> Bool -> Tensor v'1 Int64 -> m' (Tensor Value Int64, Tensor Value Float, Tensor Value Float)

logicalAnd :: Tensor v'1 Bool -> Tensor v'2 Bool -> Tensor Build Bool
logicalAnd' :: OpParams -> Tensor v'1 Bool -> Tensor v'2 Bool -> Tensor Build Bool

logicalNot :: Tensor v'1 Bool -> Tensor Build Bool
logicalNot' :: OpParams -> Tensor v'1 Bool -> Tensor Build Bool

logicalOr :: Tensor v'1 Bool -> Tensor v'2 Bool -> Tensor Build Bool
logicalOr' :: OpParams -> Tensor v'1 Bool -> Tensor v'2 Bool -> Tensor Build Bool

lookupTableExport :: forall tkeys tvalues m'. (MonadBuild m', TensorType tkeys, TensorType tvalues) => Tensor Ref ByteString -> m' (Tensor Value tkeys, Tensor Value tvalues)
lookupTableExport' :: forall tkeys tvalues m'. (MonadBuild m', TensorType tkeys, TensorType tvalues) => OpParams -> Tensor Ref ByteString -> m' (Tensor Value tkeys, Tensor Value tvalues)

lookupTableExportV2 :: forall v'1 tkeys tvalues m'. (MonadBuild m', TensorType tkeys, TensorType tvalues) => Tensor v'1 ResourceHandle -> m' (Tensor Value tkeys, Tensor Value tvalues)
lookupTableExportV2' :: forall v'1 tkeys tvalues m'. (MonadBuild m', TensorType tkeys, TensorType tvalues) => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value tkeys, Tensor Value tvalues)

lookupTableFind :: forall v'2 v'3 tin tout m'. (MonadBuild m', TensorType tin, TensorType tout) => Tensor Ref ByteString -> Tensor v'2 tin -> Tensor v'3 tout -> m' (Tensor Value tout)
lookupTableFind' :: forall v'2 v'3 tin tout m'. (MonadBuild m', TensorType tin, TensorType tout) => OpParams -> Tensor Ref ByteString -> Tensor v'2 tin -> Tensor v'3 tout -> m' (Tensor Value tout)

lookupTableFindV2 :: forall v'1 v'2 v'3 tin tout m'. (MonadBuild m', TensorType tin, TensorType tout) => Tensor v'1 ResourceHandle -> Tensor v'2 tin -> Tensor v'3 tout -> m' (Tensor Value tout)
lookupTableFindV2' :: forall v'1 v'2 v'3 tin tout m'. (MonadBuild m', TensorType tin, TensorType tout) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 tin -> Tensor v'3 tout -> m' (Tensor Value tout)

lookupTableImport :: forall v'2 v'3 tin tout m'. (MonadBuild m', TensorType tin, TensorType tout) => Tensor Ref ByteString -> Tensor v'2 tin -> Tensor v'3 tout -> m' ControlNode
lookupTableImport' :: forall v'2 v'3 tin tout m'. (MonadBuild m', TensorType tin, TensorType tout) => OpParams -> Tensor Ref ByteString -> Tensor v'2 tin -> Tensor v'3 tout -> m' ControlNode

lookupTableImportV2 :: forall v'1 v'2 v'3 tin tout m'. (MonadBuild m', TensorType tin, TensorType tout) => Tensor v'1 ResourceHandle -> Tensor v'2 tin -> Tensor v'3 tout -> m' ControlNode
lookupTableImportV2' :: forall v'1 v'2 v'3 tin tout m'. (MonadBuild m', TensorType tin, TensorType tout) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 tin -> Tensor v'3 tout -> m' ControlNode

lookupTableInsert :: forall v'2 v'3 tin tout m'. (MonadBuild m', TensorType tin, TensorType tout) => Tensor Ref ByteString -> Tensor v'2 tin -> Tensor v'3 tout -> m' ControlNode
lookupTableInsert' :: forall v'2 v'3 tin tout m'. (MonadBuild m', TensorType tin, TensorType tout) => OpParams -> Tensor Ref ByteString -> Tensor v'2 tin -> Tensor v'3 tout -> m' ControlNode

lookupTableInsertV2 :: forall v'1 v'2 v'3 tin tout m'. (MonadBuild m', TensorType tin, TensorType tout) => Tensor v'1 ResourceHandle -> Tensor v'2 tin -> Tensor v'3 tout -> m' ControlNode
lookupTableInsertV2' :: forall v'1 v'2 v'3 tin tout m'. (MonadBuild m', TensorType tin, TensorType tout) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 tin -> Tensor v'3 tout -> m' ControlNode

lookupTableRemoveV2 :: forall v'1 v'2 tin m'. (MonadBuild m', TensorType tin) => Tensor v'1 ResourceHandle -> Tensor v'2 tin -> m' ControlNode
lookupTableRemoveV2' :: forall v'1 v'2 tin m'. (MonadBuild m', TensorType tin) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 tin -> m' ControlNode

lookupTableSize :: forall m'. MonadBuild m' => Tensor Ref ByteString -> m' (Tensor Value Int64)
lookupTableSize' :: forall m'. MonadBuild m' => OpParams -> Tensor Ref ByteString -> m' (Tensor Value Int64)

lookupTableSizeV2 :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value Int64)
lookupTableSizeV2' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value Int64)

loopCond :: Tensor v'1 Bool -> Tensor Build Bool
loopCond' :: OpParams -> Tensor v'1 Bool -> Tensor Build Bool

lowerBound :: forall v'1 v'2 t out_type. (TensorType t, OneOf '[Int32, Int64] out_type) => Tensor v'1 t -> Tensor v'2 t -> Tensor Build out_type
lowerBound' :: forall v'1 v'2 t out_type. (TensorType t, OneOf '[Int32, Int64] out_type) => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build out_type

lu :: forall v'1 t output_idx_type. (OneOf '[Complex Double, Complex Float, Word16, Double, Float] t, OneOf '[Int32, Int64] output_idx_type) => Tensor v'1 t -> (Tensor Build t, Tensor Build output_idx_type)
lu' :: forall v'1 t output_idx_type. (OneOf '[Complex Double, Complex Float, Word16, Double, Float] t, OneOf '[Int32, Int64] output_idx_type) => OpParams -> Tensor v'1 t -> (Tensor Build t, Tensor Build output_idx_type)

makeIterator :: forall v'1 v'2 m'. MonadBuild m' => Tensor v'1 Variant -> Tensor v'2 ResourceHandle -> m' ControlNode
makeIterator' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Tensor v'1 Variant -> Tensor v'2 ResourceHandle -> m' ControlNode

mapClear :: forall m'. MonadBuild m' => [DataType] -> m' ControlNode
mapClear' :: forall m'. MonadBuild m' => OpParams -> [DataType] -> m' ControlNode

mapIncompleteSize :: forall m'. MonadBuild m' => [DataType] -> m' (Tensor Value Int32)
mapIncompleteSize' :: forall m'. MonadBuild m' => OpParams -> [DataType] -> m' (Tensor Value Int32)

mapPeek :: forall v'1 v'2 dtypes m'. (MonadBuild m', TensorTypes dtypes) => Tensor v'1 Int64 -> Tensor v'2 Int32 -> m' (TensorList Value dtypes)
mapPeek' :: forall v'1 v'2 dtypes m'. (MonadBuild m', TensorTypes dtypes) => OpParams -> Tensor v'1 Int64 -> Tensor v'2 Int32 -> m' (TensorList Value dtypes)

mapSize :: forall m'. MonadBuild m' => [DataType] -> m' (Tensor Value Int32)
mapSize' :: forall m'. MonadBuild m' => OpParams -> [DataType] -> m' (Tensor Value Int32)

mapStage :: forall v'1 v'2 v'3 fake_dtypes m'. (MonadBuild m', TensorTypes fake_dtypes) => [DataType] -> Tensor v'1 Int64 -> Tensor v'2 Int32 -> TensorList v'3 fake_dtypes -> m' ControlNode
mapStage' :: forall v'1 v'2 v'3 fake_dtypes m'. (MonadBuild m', TensorTypes fake_dtypes) => OpParams -> [DataType] -> Tensor v'1 Int64 -> Tensor v'2 Int32 -> TensorList v'3 fake_dtypes -> m' ControlNode

mapUnstage :: forall v'1 v'2 dtypes m'. (MonadBuild m', TensorTypes dtypes) => Tensor v'1 Int64 -> Tensor v'2 Int32 -> m' (TensorList Value dtypes)
mapUnstage' :: forall v'1 v'2 dtypes m'. (MonadBuild m', TensorTypes dtypes) => OpParams -> Tensor v'1 Int64 -> Tensor v'2 Int32 -> m' (TensorList Value dtypes)

mapUnstageNoKey :: forall v'1 dtypes m'. (MonadBuild m', TensorTypes dtypes) => Tensor v'1 Int32 -> m' (Tensor Value Int64, TensorList Value dtypes)
mapUnstageNoKey' :: forall v'1 dtypes m'. (MonadBuild m', TensorTypes dtypes) => OpParams -> Tensor v'1 Int32 -> m' (Tensor Value Int64, TensorList Value dtypes)

matMul :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int32, Int64, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
matMul' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int32, Int64, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

matchingFiles :: Tensor v'1 ByteString -> Tensor Build ByteString
matchingFiles' :: OpParams -> Tensor v'1 ByteString -> Tensor Build ByteString

matchingFilesDataset :: forall v'1 m'. MonadBuild m' => Tensor v'1 ByteString -> m' (Tensor Value Variant)
matchingFilesDataset' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ByteString -> m' (Tensor Value Variant)

matrixBandPart :: forall v'1 v'2 v'3 t tindex. (TensorType t, OneOf '[Int32, Int64] tindex) => Tensor v'1 t -> Tensor v'2 tindex -> Tensor v'3 tindex -> Tensor Build t
matrixBandPart' :: forall v'1 v'2 v'3 t tindex. (TensorType t, OneOf '[Int32, Int64] tindex) => OpParams -> Tensor v'1 t -> Tensor v'2 tindex -> Tensor v'3 tindex -> Tensor Build t

matrixDeterminant :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
matrixDeterminant' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

matrixDiag :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build t
matrixDiag' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build t

matrixDiagPart :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build t
matrixDiagPart' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build t

matrixDiagPartV2 :: forall v'1 v'2 v'3 t. TensorType t => Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor Build t
matrixDiagPartV2' :: forall v'1 v'2 v'3 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor Build t

matrixDiagPartV3 :: forall v'1 v'2 v'3 t. TensorType t => Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor Build t
matrixDiagPartV3' :: forall v'1 v'2 v'3 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor Build t

matrixDiagV2 :: forall v'1 v'2 v'3 v'4 v'5 t. TensorType t => Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor v'4 Int32 -> Tensor v'5 t -> Tensor Build t
matrixDiagV2' :: forall v'1 v'2 v'3 v'4 v'5 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor v'4 Int32 -> Tensor v'5 t -> Tensor Build t

matrixDiagV3 :: forall v'1 v'2 v'3 v'4 v'5 t. TensorType t => Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor v'4 Int32 -> Tensor v'5 t -> Tensor Build t
matrixDiagV3' :: forall v'1 v'2 v'3 v'4 v'5 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor v'4 Int32 -> Tensor v'5 t -> Tensor Build t

matrixExponential :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
matrixExponential' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

matrixInverse :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
matrixInverse' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

matrixLogarithm :: forall v'1 t. OneOf '[Complex Double, Complex Float] t => Tensor v'1 t -> Tensor Build t
matrixLogarithm' :: forall v'1 t. OneOf '[Complex Double, Complex Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

matrixSetDiag :: forall v'1 v'2 t. TensorType t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
matrixSetDiag' :: forall v'1 v'2 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

matrixSetDiagV2 :: forall v'1 v'2 v'3 t. TensorType t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Int32 -> Tensor Build t
matrixSetDiagV2' :: forall v'1 v'2 v'3 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Int32 -> Tensor Build t

matrixSetDiagV3 :: forall v'1 v'2 v'3 t. TensorType t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Int32 -> Tensor Build t
matrixSetDiagV3' :: forall v'1 v'2 v'3 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Int32 -> Tensor Build t

matrixSolve :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
matrixSolve' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

matrixSolveLs :: forall v'1 v'2 v'3 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Double -> Tensor Build t
matrixSolveLs' :: forall v'1 v'2 v'3 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Double -> Tensor Build t

matrixSquareRoot :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
matrixSquareRoot' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

matrixTriangularSolve :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
matrixTriangularSolve' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

max :: forall v'1 v'2 t tidx. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx) => Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t
max' :: forall v'1 v'2 t tidx. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx) => OpParams -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t

maxIntraOpParallelismDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant
maxIntraOpParallelismDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant

maxPool :: forall v'1 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor Build t
maxPool' :: forall v'1 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor Build t

maxPool3D :: forall v'1 t. OneOf '[Word16, Float] t => ByteString -> Tensor v'1 t -> Tensor Build t
maxPool3D' :: forall v'1 t. OneOf '[Word16, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor Build t

maxPool3DGrad :: forall v'1 v'2 v'3 t tInput. (OneOf '[Word16, Float] t, OneOf '[Word16, Float] tInput) => ByteString -> Tensor v'1 tInput -> Tensor v'2 tInput -> Tensor v'3 t -> Tensor Build t
maxPool3DGrad' :: forall v'1 v'2 v'3 t tInput. (OneOf '[Word16, Float] t, OneOf '[Word16, Float] tInput) => OpParams -> ByteString -> Tensor v'1 tInput -> Tensor v'2 tInput -> Tensor v'3 t -> Tensor Build t

maxPool3DGradGrad :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t
maxPool3DGradGrad' :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t

maxPoolGrad :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t
maxPoolGrad' :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t

maxPoolGradGrad :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t
maxPoolGradGrad' :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t

maxPoolGradGradV2 :: forall v'1 v'2 v'3 v'4 v'5 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 Int32 -> Tensor v'5 Int32 -> Tensor Build t
maxPoolGradGradV2' :: forall v'1 v'2 v'3 v'4 v'5 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 Int32 -> Tensor v'5 Int32 -> Tensor Build t

maxPoolGradGradWithArgmax :: forall v'1 v'2 v'3 targmax t. (OneOf '[Int32, Int64] targmax, OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 targmax -> Tensor Build t
maxPoolGradGradWithArgmax' :: forall v'1 v'2 v'3 targmax t. (OneOf '[Int32, Int64] targmax, OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 targmax -> Tensor Build t

maxPoolGradV2 :: forall v'1 v'2 v'3 v'4 v'5 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 Int32 -> Tensor v'5 Int32 -> Tensor Build t
maxPoolGradV2' :: forall v'1 v'2 v'3 v'4 v'5 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 Int32 -> Tensor v'5 Int32 -> Tensor Build t

maxPoolGradWithArgmax :: forall v'1 v'2 v'3 targmax t. (OneOf '[Int32, Int64] targmax, OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 targmax -> Tensor Build t
maxPoolGradWithArgmax' :: forall v'1 v'2 v'3 targmax t. (OneOf '[Int32, Int64] targmax, OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 targmax -> Tensor Build t

maxPoolV2 :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor Build t
maxPoolV2' :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor Build t

maxPoolWithArgmax :: forall v'1 targmax t. (OneOf '[Int32, Int64] targmax, OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => ByteString -> Tensor v'1 t -> (Tensor Build t, Tensor Build targmax)
maxPoolWithArgmax' :: forall v'1 targmax t. (OneOf '[Int32, Int64] targmax, OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> ByteString -> Tensor v'1 t -> (Tensor Build t, Tensor Build targmax)

maximum :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Word16, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
maximum' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Word16, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

mean :: forall v'1 v'2 t tidx. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx) => Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t
mean' :: forall v'1 v'2 t tidx. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx) => OpParams -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t

merge :: forall v'1 t. TensorType t => [Tensor v'1 t] -> (Tensor Build t, Tensor Build Int32)
merge' :: forall v'1 t. TensorType t => OpParams -> [Tensor v'1 t] -> (Tensor Build t, Tensor Build Int32)

mergeSummary :: [Tensor v'1 ByteString] -> Tensor Build ByteString
mergeSummary' :: OpParams -> [Tensor v'1 ByteString] -> Tensor Build ByteString

mergeV2Checkpoints :: forall v'1 v'2 m'. MonadBuild m' => Tensor v'1 ByteString -> Tensor v'2 ByteString -> m' ControlNode
mergeV2Checkpoints' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> m' ControlNode

mfcc :: Tensor v'1 Float -> Tensor v'2 Int32 -> Tensor Build Float
mfcc' :: OpParams -> Tensor v'1 Float -> Tensor v'2 Int32 -> Tensor Build Float

min :: forall v'1 v'2 t tidx. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx) => Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t
min' :: forall v'1 v'2 t tidx. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx) => OpParams -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t

minimum :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Word16, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
minimum' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Word16, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

mirrorPad :: forall v'1 v'2 t tpaddings. (TensorType t, OneOf '[Int32, Int64] tpaddings) => ByteString -> Tensor v'1 t -> Tensor v'2 tpaddings -> Tensor Build t
mirrorPad' :: forall v'1 v'2 t tpaddings. (TensorType t, OneOf '[Int32, Int64] tpaddings) => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 tpaddings -> Tensor Build t

mirrorPadGrad :: forall v'1 v'2 t tpaddings. (TensorType t, OneOf '[Int32, Int64] tpaddings) => ByteString -> Tensor v'1 t -> Tensor v'2 tpaddings -> Tensor Build t
mirrorPadGrad' :: forall v'1 v'2 t tpaddings. (TensorType t, OneOf '[Int32, Int64] tpaddings) => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 tpaddings -> Tensor Build t

mlirPassthroughOp :: forall v'1 tinputs toutputs. (TensorTypes tinputs, TensorTypes toutputs) => ByteString -> TensorList v'1 tinputs -> TensorList Build toutputs
mlirPassthroughOp' :: forall v'1 tinputs toutputs. (TensorTypes tinputs, TensorTypes toutputs) => OpParams -> ByteString -> TensorList v'1 tinputs -> TensorList Build toutputs

mod :: forall v'1 v'2 t. OneOf '[Int32, Int64, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
mod' :: forall v'1 v'2 t. OneOf '[Int32, Int64, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

modelDataset :: [DataType] -> Tensor v'1 Variant -> Tensor Build Variant
modelDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor Build Variant

mul :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
mul' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

mulNoNan :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
mulNoNan' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

multiDeviceIterator :: forall m'. MonadBuild m' => ByteString -> [DataType] -> ByteString -> m' (Tensor Value ResourceHandle)
multiDeviceIterator' :: forall m'. MonadBuild m' => OpParams -> ByteString -> [DataType] -> ByteString -> m' (Tensor Value ResourceHandle)

multiDeviceIteratorFromStringHandle :: forall v'1 m'. MonadBuild m' => Tensor v'1 ByteString -> m' (Tensor Value ResourceHandle)
multiDeviceIteratorFromStringHandle' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ByteString -> m' (Tensor Value ResourceHandle)

multiDeviceIteratorGetNextFromShard :: forall v'1 v'2 v'3 output_types m'. (MonadBuild m', TensorTypes output_types) => Tensor v'1 ResourceHandle -> Tensor v'2 Int32 -> Tensor v'3 Int64 -> m' (TensorList Value output_types)
multiDeviceIteratorGetNextFromShard' :: forall v'1 v'2 v'3 output_types m'. (MonadBuild m', TensorTypes output_types) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int32 -> Tensor v'3 Int64 -> m' (TensorList Value output_types)

multiDeviceIteratorInit :: forall v'1 v'2 v'3 m'. MonadBuild m' => Tensor v'1 Variant -> Tensor v'2 ResourceHandle -> Tensor v'3 Int64 -> m' (Tensor Value Int64)
multiDeviceIteratorInit' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Tensor v'1 Variant -> Tensor v'2 ResourceHandle -> Tensor v'3 Int64 -> m' (Tensor Value Int64)

multiDeviceIteratorToStringHandle :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value ByteString)
multiDeviceIteratorToStringHandle' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value ByteString)

multinomial :: forall v'1 v'2 t output_dtype m'. (MonadBuild m', OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] output_dtype) => Tensor v'1 t -> Tensor v'2 Int32 -> m' (Tensor Value output_dtype)
multinomial' :: forall v'1 v'2 t output_dtype m'. (MonadBuild m', OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] output_dtype) => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> m' (Tensor Value output_dtype)

mutableDenseHashTable :: forall v'1 key_dtype m'. (MonadBuild m', TensorType key_dtype) => DataType -> Tensor v'1 key_dtype -> m' (Tensor Ref ByteString)
mutableDenseHashTable' :: forall v'1 key_dtype m'. (MonadBuild m', TensorType key_dtype) => OpParams -> DataType -> Tensor v'1 key_dtype -> m' (Tensor Ref ByteString)

mutableDenseHashTableV2 :: forall v'1 v'2 key_dtype m'. (MonadBuild m', TensorType key_dtype) => DataType -> Tensor v'1 key_dtype -> Tensor v'2 key_dtype -> m' (Tensor Value ResourceHandle)
mutableDenseHashTableV2' :: forall v'1 v'2 key_dtype m'. (MonadBuild m', TensorType key_dtype) => OpParams -> DataType -> Tensor v'1 key_dtype -> Tensor v'2 key_dtype -> m' (Tensor Value ResourceHandle)

mutableHashTable :: forall m'. MonadBuild m' => DataType -> DataType -> m' (Tensor Ref ByteString)
mutableHashTable' :: forall m'. MonadBuild m' => OpParams -> DataType -> DataType -> m' (Tensor Ref ByteString)

mutableHashTableOfTensors :: forall m'. MonadBuild m' => DataType -> DataType -> m' (Tensor Ref ByteString)
mutableHashTableOfTensors' :: forall m'. MonadBuild m' => OpParams -> DataType -> DataType -> m' (Tensor Ref ByteString)

mutableHashTableOfTensorsV2 :: forall m'. MonadBuild m' => DataType -> DataType -> m' (Tensor Value ResourceHandle)
mutableHashTableOfTensorsV2' :: forall m'. MonadBuild m' => OpParams -> DataType -> DataType -> m' (Tensor Value ResourceHandle)

mutableHashTableV2 :: forall m'. MonadBuild m' => DataType -> DataType -> m' (Tensor Value ResourceHandle)
mutableHashTableV2' :: forall m'. MonadBuild m' => OpParams -> DataType -> DataType -> m' (Tensor Value ResourceHandle)

mutexLock :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value Variant)
mutexLock' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value Variant)

mutexV2 :: forall m'. MonadBuild m' => m' (Tensor Value ResourceHandle)
mutexV2' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Value ResourceHandle)

ncclAllReduce :: forall v'1 t m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t) => Int64 -> ByteString -> ByteString -> Tensor v'1 t -> m' (Tensor Value t)
ncclAllReduce' :: forall v'1 t m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t) => OpParams -> Int64 -> ByteString -> ByteString -> Tensor v'1 t -> m' (Tensor Value t)

ncclBroadcast :: forall v'1 t m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t) => Shape -> Tensor v'1 t -> m' (Tensor Value t)
ncclBroadcast' :: forall v'1 t m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t) => OpParams -> Shape -> Tensor v'1 t -> m' (Tensor Value t)

ncclReduce :: forall v'1 t m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t) => ByteString -> [Tensor v'1 t] -> m' (Tensor Value t)
ncclReduce' :: forall v'1 t m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t) => OpParams -> ByteString -> [Tensor v'1 t] -> m' (Tensor Value t)

ndtri :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
ndtri' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

nearestNeighbors :: Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Int64 -> (Tensor Build Int64, Tensor Build Float)
nearestNeighbors' :: OpParams -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Int64 -> (Tensor Build Int64, Tensor Build Float)

neg :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
neg' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

negTrain :: forall v'3 v'4 v'5 m'. MonadBuild m' => Int64 -> Tensor Ref Float -> Tensor Ref Float -> Tensor v'3 Int32 -> Tensor v'4 Int32 -> Tensor v'5 Float -> m' ControlNode
negTrain' :: forall v'3 v'4 v'5 m'. MonadBuild m' => OpParams -> Int64 -> Tensor Ref Float -> Tensor Ref Float -> Tensor v'3 Int32 -> Tensor v'4 Int32 -> Tensor v'5 Float -> m' ControlNode

nextAfter :: forall v'1 v'2 t. OneOf '[Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
nextAfter' :: forall v'1 v'2 t. OneOf '[Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

nextIteration :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build t
nextIteration' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build t

noOp :: forall m'. MonadBuild m' => m' ControlNode
noOp' :: forall m'. MonadBuild m' => OpParams -> m' ControlNode

nonDeterministicInts :: forall v'1 dtype shape_dtype m'. (MonadBuild m', TensorType dtype, TensorType shape_dtype) => Tensor v'1 shape_dtype -> m' (Tensor Value dtype)
nonDeterministicInts' :: forall v'1 dtype shape_dtype m'. (MonadBuild m', TensorType dtype, TensorType shape_dtype) => OpParams -> Tensor v'1 shape_dtype -> m' (Tensor Value dtype)

nonMaxSuppression :: Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Int32 -> Tensor Build Int32
nonMaxSuppression' :: OpParams -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Int32 -> Tensor Build Int32

nonMaxSuppressionV2 :: forall v'1 v'2 v'3 v'4 t t_threshold. (OneOf '[Word16, Float] t, OneOf '[Word16, Float] t_threshold) => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Int32 -> Tensor v'4 t_threshold -> Tensor Build Int32
nonMaxSuppressionV2' :: forall v'1 v'2 v'3 v'4 t t_threshold. (OneOf '[Word16, Float] t, OneOf '[Word16, Float] t_threshold) => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Int32 -> Tensor v'4 t_threshold -> Tensor Build Int32

nonMaxSuppressionV3 :: forall v'1 v'2 v'3 v'4 v'5 t t_threshold. (OneOf '[Word16, Float] t, OneOf '[Word16, Float] t_threshold) => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Int32 -> Tensor v'4 t_threshold -> Tensor v'5 t_threshold -> Tensor Build Int32
nonMaxSuppressionV3' :: forall v'1 v'2 v'3 v'4 v'5 t t_threshold. (OneOf '[Word16, Float] t, OneOf '[Word16, Float] t_threshold) => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Int32 -> Tensor v'4 t_threshold -> Tensor v'5 t_threshold -> Tensor Build Int32

nonMaxSuppressionV4 :: forall v'1 v'2 v'3 v'4 v'5 t t_threshold. (OneOf '[Word16, Float] t, OneOf '[Word16, Float] t_threshold) => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Int32 -> Tensor v'4 t_threshold -> Tensor v'5 t_threshold -> (Tensor Build Int32, Tensor Build Int32)
nonMaxSuppressionV4' :: forall v'1 v'2 v'3 v'4 v'5 t t_threshold. (OneOf '[Word16, Float] t, OneOf '[Word16, Float] t_threshold) => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Int32 -> Tensor v'4 t_threshold -> Tensor v'5 t_threshold -> (Tensor Build Int32, Tensor Build Int32)

nonMaxSuppressionV5 :: forall v'1 v'2 v'3 v'4 v'5 v'6 t. OneOf '[Word16, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Int32 -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> (Tensor Build Int32, Tensor Build t, Tensor Build Int32)
nonMaxSuppressionV5' :: forall v'1 v'2 v'3 v'4 v'5 v'6 t. OneOf '[Word16, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Int32 -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> (Tensor Build Int32, Tensor Build t, Tensor Build Int32)

nonMaxSuppressionWithOverlaps :: Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Int32 -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor Build Int32
nonMaxSuppressionWithOverlaps' :: OpParams -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Int32 -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor Build Int32

nonSerializableDataset :: [DataType] -> Tensor v'1 Variant -> Tensor Build Variant
nonSerializableDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor Build Variant

notEqual :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Bool, ByteString, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build Bool
notEqual' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Bool, ByteString, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build Bool

nthElement :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 Int32 -> Tensor Build t
nthElement' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor Build t

oneHot :: forall v'1 v'2 v'3 v'4 t tI. (TensorType t, OneOf '[Int32, Int64, Word8] tI) => Tensor v'1 tI -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor v'4 t -> Tensor Build t
oneHot' :: forall v'1 v'2 v'3 v'4 t tI. (TensorType t, OneOf '[Int32, Int64, Word8] tI) => OpParams -> Tensor v'1 tI -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor v'4 t -> Tensor Build t

onesLike :: forall v'1 t. OneOf '[Complex Double, Complex Float, Bool, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => Tensor v'1 t -> Tensor Build t
onesLike' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Bool, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

optimizeDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor Build Variant
optimizeDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor Build Variant

optionalFromValue :: forall v'1 toutput_types. TensorTypes toutput_types => TensorList v'1 toutput_types -> Tensor Build Variant
optionalFromValue' :: forall v'1 toutput_types. TensorTypes toutput_types => OpParams -> TensorList v'1 toutput_types -> Tensor Build Variant

optionalGetValue :: forall v'1 output_types. TensorTypes output_types => Tensor v'1 Variant -> TensorList Build output_types
optionalGetValue' :: forall v'1 output_types. TensorTypes output_types => OpParams -> Tensor v'1 Variant -> TensorList Build output_types

optionalHasValue :: Tensor v'1 Variant -> Tensor Build Bool
optionalHasValue' :: OpParams -> Tensor v'1 Variant -> Tensor Build Bool

optionalNone :: Tensor Build Variant
optionalNone' :: OpParams -> Tensor Build Variant

orderedMapClear :: forall m'. MonadBuild m' => [DataType] -> m' ControlNode
orderedMapClear' :: forall m'. MonadBuild m' => OpParams -> [DataType] -> m' ControlNode

orderedMapIncompleteSize :: forall m'. MonadBuild m' => [DataType] -> m' (Tensor Value Int32)
orderedMapIncompleteSize' :: forall m'. MonadBuild m' => OpParams -> [DataType] -> m' (Tensor Value Int32)

orderedMapPeek :: forall v'1 v'2 dtypes m'. (MonadBuild m', TensorTypes dtypes) => Tensor v'1 Int64 -> Tensor v'2 Int32 -> m' (TensorList Value dtypes)
orderedMapPeek' :: forall v'1 v'2 dtypes m'. (MonadBuild m', TensorTypes dtypes) => OpParams -> Tensor v'1 Int64 -> Tensor v'2 Int32 -> m' (TensorList Value dtypes)

orderedMapSize :: forall m'. MonadBuild m' => [DataType] -> m' (Tensor Value Int32)
orderedMapSize' :: forall m'. MonadBuild m' => OpParams -> [DataType] -> m' (Tensor Value Int32)

orderedMapStage :: forall v'1 v'2 v'3 fake_dtypes m'. (MonadBuild m', TensorTypes fake_dtypes) => [DataType] -> Tensor v'1 Int64 -> Tensor v'2 Int32 -> TensorList v'3 fake_dtypes -> m' ControlNode
orderedMapStage' :: forall v'1 v'2 v'3 fake_dtypes m'. (MonadBuild m', TensorTypes fake_dtypes) => OpParams -> [DataType] -> Tensor v'1 Int64 -> Tensor v'2 Int32 -> TensorList v'3 fake_dtypes -> m' ControlNode

orderedMapUnstage :: forall v'1 v'2 dtypes m'. (MonadBuild m', TensorTypes dtypes) => Tensor v'1 Int64 -> Tensor v'2 Int32 -> m' (TensorList Value dtypes)
orderedMapUnstage' :: forall v'1 v'2 dtypes m'. (MonadBuild m', TensorTypes dtypes) => OpParams -> Tensor v'1 Int64 -> Tensor v'2 Int32 -> m' (TensorList Value dtypes)

orderedMapUnstageNoKey :: forall v'1 dtypes m'. (MonadBuild m', TensorTypes dtypes) => Tensor v'1 Int32 -> m' (Tensor Value Int64, TensorList Value dtypes)
orderedMapUnstageNoKey' :: forall v'1 dtypes m'. (MonadBuild m', TensorTypes dtypes) => OpParams -> Tensor v'1 Int32 -> m' (Tensor Value Int64, TensorList Value dtypes)

outfeedDequeue :: forall dtype m'. (MonadBuild m', TensorType dtype) => Shape -> m' (Tensor Value dtype)
outfeedDequeue' :: forall dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Shape -> m' (Tensor Value dtype)

outfeedDequeueTuple :: forall dtypes m'. (MonadBuild m', TensorTypes dtypes) => m' (TensorList Value dtypes)
outfeedDequeueTuple' :: forall dtypes m'. (MonadBuild m', TensorTypes dtypes) => OpParams -> m' (TensorList Value dtypes)

outfeedEnqueue :: forall v'1 dtype m'. (MonadBuild m', TensorType dtype) => Tensor v'1 dtype -> m' ControlNode
outfeedEnqueue' :: forall v'1 dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Tensor v'1 dtype -> m' ControlNode

outfeedEnqueueTuple :: forall v'1 dtypes m'. (MonadBuild m', TensorTypes dtypes) => TensorList v'1 dtypes -> m' ControlNode
outfeedEnqueueTuple' :: forall v'1 dtypes m'. (MonadBuild m', TensorTypes dtypes) => OpParams -> TensorList v'1 dtypes -> m' ControlNode

pack :: forall v'1 t. TensorType t => [Tensor v'1 t] -> Tensor Build t
pack' :: forall v'1 t. TensorType t => OpParams -> [Tensor v'1 t] -> Tensor Build t

pad :: forall v'1 v'2 t tpaddings. (TensorType t, OneOf '[Int32, Int64] tpaddings) => Tensor v'1 t -> Tensor v'2 tpaddings -> Tensor Build t
pad' :: forall v'1 v'2 t tpaddings. (TensorType t, OneOf '[Int32, Int64] tpaddings) => OpParams -> Tensor v'1 t -> Tensor v'2 tpaddings -> Tensor Build t

padV2 :: forall v'1 v'2 v'3 t tpaddings. (TensorType t, OneOf '[Int32, Int64] tpaddings) => Tensor v'1 t -> Tensor v'2 tpaddings -> Tensor v'3 t -> Tensor Build t
padV2' :: forall v'1 v'2 v'3 t tpaddings. (TensorType t, OneOf '[Int32, Int64] tpaddings) => OpParams -> Tensor v'1 t -> Tensor v'2 tpaddings -> Tensor v'3 t -> Tensor Build t

paddedBatchDataset :: forall v'1 v'2 v'3 v'4 toutput_types. TensorTypes toutput_types => Tensor v'1 Variant -> Tensor v'2 Int64 -> [Tensor v'3 Int64] -> TensorList v'4 toutput_types -> Tensor Build Variant
paddedBatchDataset' :: forall v'1 v'2 v'3 v'4 toutput_types. TensorTypes toutput_types => OpParams -> Tensor v'1 Variant -> Tensor v'2 Int64 -> [Tensor v'3 Int64] -> TensorList v'4 toutput_types -> Tensor Build Variant

paddedBatchDatasetV2 :: forall v'1 v'2 v'3 v'4 v'5 toutput_types. TensorTypes toutput_types => Tensor v'1 Variant -> Tensor v'2 Int64 -> [Tensor v'3 Int64] -> TensorList v'4 toutput_types -> Tensor v'5 Bool -> Tensor Build Variant
paddedBatchDatasetV2' :: forall v'1 v'2 v'3 v'4 v'5 toutput_types. TensorTypes toutput_types => OpParams -> Tensor v'1 Variant -> Tensor v'2 Int64 -> [Tensor v'3 Int64] -> TensorList v'4 toutput_types -> Tensor v'5 Bool -> Tensor Build Variant

paddingFIFOQueue :: forall m'. MonadBuild m' => [DataType] -> m' (Tensor Ref ByteString)
paddingFIFOQueue' :: forall m'. MonadBuild m' => OpParams -> [DataType] -> m' (Tensor Ref ByteString)

paddingFIFOQueueV2 :: forall m'. MonadBuild m' => [DataType] -> m' (Tensor Value ResourceHandle)
paddingFIFOQueueV2' :: forall m'. MonadBuild m' => OpParams -> [DataType] -> m' (Tensor Value ResourceHandle)

parallelConcat :: forall v'1 t. TensorType t => Shape -> [Tensor v'1 t] -> Tensor Build t
parallelConcat' :: forall v'1 t. TensorType t => OpParams -> Shape -> [Tensor v'1 t] -> Tensor Build t

parallelDynamicStitch :: forall v'1 v'2 t. TensorType t => [Tensor v'1 Int32] -> [Tensor v'2 t] -> Tensor Build t
parallelDynamicStitch' :: forall v'1 v'2 t. TensorType t => OpParams -> [Tensor v'1 Int32] -> [Tensor v'2 t] -> Tensor Build t

parameterizedTruncatedNormal :: forall v'1 v'2 v'3 v'4 v'5 dtype t m'. (MonadBuild m', OneOf '[Word16, Double, Float] dtype, OneOf '[Int32, Int64] t) => Tensor v'1 t -> Tensor v'2 dtype -> Tensor v'3 dtype -> Tensor v'4 dtype -> Tensor v'5 dtype -> m' (Tensor Value dtype)
parameterizedTruncatedNormal' :: forall v'1 v'2 v'3 v'4 v'5 dtype t m'. (MonadBuild m', OneOf '[Word16, Double, Float] dtype, OneOf '[Int32, Int64] t) => OpParams -> Tensor v'1 t -> Tensor v'2 dtype -> Tensor v'3 dtype -> Tensor v'4 dtype -> Tensor v'5 dtype -> m' (Tensor Value dtype)

parseExample :: forall v'1 v'2 v'3 v'4 v'5 sparse_types tdense. (OneOfs '[ByteString, Int64, Float] sparse_types, OneOfs '[ByteString, Int64, Float] tdense) => Tensor v'1 ByteString -> Tensor v'2 ByteString -> [Tensor v'3 ByteString] -> [Tensor v'4 ByteString] -> TensorList v'5 tdense -> ([Tensor Build Int64], TensorList Build sparse_types, [Tensor Build Int64], TensorList Build tdense)
parseExample' :: forall v'1 v'2 v'3 v'4 v'5 sparse_types tdense. (OneOfs '[ByteString, Int64, Float] sparse_types, OneOfs '[ByteString, Int64, Float] tdense) => OpParams -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> [Tensor v'3 ByteString] -> [Tensor v'4 ByteString] -> TensorList v'5 tdense -> ([Tensor Build Int64], TensorList Build sparse_types, [Tensor Build Int64], TensorList Build tdense)

parseExampleDataset :: forall v'1 v'2 v'3 tdense. OneOfs '[ByteString, Int64, Float] tdense => [DataType] -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> TensorList v'3 tdense -> Tensor Build Variant
parseExampleDataset' :: forall v'1 v'2 v'3 tdense. OneOfs '[ByteString, Int64, Float] tdense => OpParams -> [DataType] -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> TensorList v'3 tdense -> Tensor Build Variant

parseExampleDatasetV2 :: forall v'1 v'2 v'3 tdense. OneOfs '[ByteString, Int64, Float] tdense => [DataType] -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> TensorList v'3 tdense -> Tensor Build Variant
parseExampleDatasetV2' :: forall v'1 v'2 v'3 tdense. OneOfs '[ByteString, Int64, Float] tdense => OpParams -> [DataType] -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> TensorList v'3 tdense -> Tensor Build Variant

parseExampleV2 :: forall v'1 v'2 v'3 v'4 v'5 v'6 tdense sparse_types ragged_value_types ragged_split_types. (OneOfs '[ByteString, Int64, Float] tdense, OneOfs '[ByteString, Int64, Float] sparse_types, OneOfs '[ByteString, Int64, Float] ragged_value_types, OneOfs '[Int32, Int64] ragged_split_types) => Int64 -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> Tensor v'4 ByteString -> Tensor v'5 ByteString -> TensorList v'6 tdense -> ([Tensor Build Int64], TensorList Build sparse_types, [Tensor Build Int64], TensorList Build tdense, TensorList Build ragged_value_types, TensorList Build ragged_split_types)
parseExampleV2' :: forall v'1 v'2 v'3 v'4 v'5 v'6 tdense sparse_types ragged_value_types ragged_split_types. (OneOfs '[ByteString, Int64, Float] tdense, OneOfs '[ByteString, Int64, Float] sparse_types, OneOfs '[ByteString, Int64, Float] ragged_value_types, OneOfs '[Int32, Int64] ragged_split_types) => OpParams -> Int64 -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> Tensor v'4 ByteString -> Tensor v'5 ByteString -> TensorList v'6 tdense -> ([Tensor Build Int64], TensorList Build sparse_types, [Tensor Build Int64], TensorList Build tdense, TensorList Build ragged_value_types, TensorList Build ragged_split_types)

parseSingleExample :: forall v'1 v'2 sparse_types tdense. (OneOfs '[ByteString, Int64, Float] sparse_types, OneOfs '[ByteString, Int64, Float] tdense) => Int64 -> Tensor v'1 ByteString -> TensorList v'2 tdense -> ([Tensor Build Int64], TensorList Build sparse_types, [Tensor Build Int64], TensorList Build tdense)
parseSingleExample' :: forall v'1 v'2 sparse_types tdense. (OneOfs '[ByteString, Int64, Float] sparse_types, OneOfs '[ByteString, Int64, Float] tdense) => OpParams -> Int64 -> Tensor v'1 ByteString -> TensorList v'2 tdense -> ([Tensor Build Int64], TensorList Build sparse_types, [Tensor Build Int64], TensorList Build tdense)

parseTensor :: forall v'1 out_type. TensorType out_type => Tensor v'1 ByteString -> Tensor Build out_type
parseTensor' :: forall v'1 out_type. TensorType out_type => OpParams -> Tensor v'1 ByteString -> Tensor Build out_type

placeholder :: forall dtype. TensorType dtype => Tensor Build dtype
placeholder' :: forall dtype. TensorType dtype => OpParams -> Tensor Build dtype

placeholderV2 :: forall dtype. TensorType dtype => Shape -> Tensor Build dtype
placeholderV2' :: forall dtype. TensorType dtype => OpParams -> Shape -> Tensor Build dtype

placeholderWithDefault :: forall v'1 dtype. TensorType dtype => Shape -> Tensor v'1 dtype -> Tensor Build dtype
placeholderWithDefault' :: forall v'1 dtype. TensorType dtype => OpParams -> Shape -> Tensor v'1 dtype -> Tensor Build dtype

polygamma :: forall v'1 v'2 t. OneOf '[Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
polygamma' :: forall v'1 v'2 t. OneOf '[Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

populationCount :: forall v'1 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8] t => Tensor v'1 t -> Tensor Build Word8
populationCount' :: forall v'1 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8] t => OpParams -> Tensor v'1 t -> Tensor Build Word8

pow :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int32, Int64, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
pow' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int32, Int64, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

prefetchDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant
prefetchDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant

prelinearize :: forall v'1 dtype. TensorType dtype => Tensor v'1 dtype -> Tensor Build Variant
prelinearize' :: forall v'1 dtype. TensorType dtype => OpParams -> Tensor v'1 dtype -> Tensor Build Variant

prelinearizeTuple :: forall v'1 dtypes. TensorTypes dtypes => TensorList v'1 dtypes -> Tensor Build Variant
prelinearizeTuple' :: forall v'1 dtypes. TensorTypes dtypes => OpParams -> TensorList v'1 dtypes -> Tensor Build Variant

preventGradient :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build t
preventGradient' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build t

print :: forall v'1 v'2 t u m'. (MonadBuild m', TensorType t, TensorTypes u) => Tensor v'1 t -> TensorList v'2 u -> m' (Tensor Value t)
print' :: forall v'1 v'2 t u m'. (MonadBuild m', TensorType t, TensorTypes u) => OpParams -> Tensor v'1 t -> TensorList v'2 u -> m' (Tensor Value t)

printV2 :: forall v'1 m'. MonadBuild m' => Tensor v'1 ByteString -> m' ControlNode
printV2' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ByteString -> m' ControlNode

priorityQueue :: forall m'. MonadBuild m' => m' (Tensor Ref ByteString)
priorityQueue' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Ref ByteString)

priorityQueueV2 :: forall m'. MonadBuild m' => m' (Tensor Value ResourceHandle)
priorityQueueV2' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Value ResourceHandle)

privateThreadPoolDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant
privateThreadPoolDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant

prod :: forall v'1 v'2 t tidx. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx) => Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t
prod' :: forall v'1 v'2 t tidx. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx) => OpParams -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t

pyFunc :: forall v'1 tin tout m'. (MonadBuild m', TensorTypes tin, TensorTypes tout) => ByteString -> TensorList v'1 tin -> m' (TensorList Value tout)
pyFunc' :: forall v'1 tin tout m'. (MonadBuild m', TensorTypes tin, TensorTypes tout) => OpParams -> ByteString -> TensorList v'1 tin -> m' (TensorList Value tout)

pyFuncStateless :: forall v'1 tin tout. (TensorTypes tin, TensorTypes tout) => ByteString -> TensorList v'1 tin -> TensorList Build tout
pyFuncStateless' :: forall v'1 tin tout. (TensorTypes tin, TensorTypes tout) => OpParams -> ByteString -> TensorList v'1 tin -> TensorList Build tout

qr :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> (Tensor Build t, Tensor Build t)
qr' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> (Tensor Build t, Tensor Build t)

quantizeAndDequantize :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
quantizeAndDequantize' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

quantizeAndDequantizeV2 :: forall v'1 v'2 v'3 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t
quantizeAndDequantizeV2' :: forall v'1 v'2 v'3 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t

quantizeAndDequantizeV3 :: forall v'1 v'2 v'3 v'4 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 Int32 -> Tensor Build t
quantizeAndDequantizeV3' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 Int32 -> Tensor Build t

quantizeDownAndShrinkRange :: forall v'1 v'2 v'3 tinput out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] out_type) => Tensor v'1 tinput -> Tensor v'2 Float -> Tensor v'3 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizeDownAndShrinkRange' :: forall v'1 v'2 v'3 tinput out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> Tensor v'1 tinput -> Tensor v'2 Float -> Tensor v'3 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizeV2 :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Word16, Word8] t => Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> (Tensor Build t, Tensor Build Float, Tensor Build Float)
quantizeV2' :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Word16, Word8] t => OpParams -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor v'3 Float -> (Tensor Build t, Tensor Build Float, Tensor Build Float)

quantizedAdd :: forall v'1 v'2 v'3 v'4 v'5 v'6 t1 t2 toutput. (OneOf '[Int16, Int32, Word16, Word8] t1, OneOf '[Int16, Int32, Word16, Word8] t2, OneOf '[Int16, Int32, Word16, Word8] toutput) => Tensor v'1 t1 -> Tensor v'2 t2 -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> (Tensor Build toutput, Tensor Build Float, Tensor Build Float)
quantizedAdd' :: forall v'1 v'2 v'3 v'4 v'5 v'6 t1 t2 toutput. (OneOf '[Int16, Int32, Word16, Word8] t1, OneOf '[Int16, Int32, Word16, Word8] t2, OneOf '[Int16, Int32, Word16, Word8] toutput) => OpParams -> Tensor v'1 t1 -> Tensor v'2 t2 -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> (Tensor Build toutput, Tensor Build Float, Tensor Build Float)

quantizedAvgPool :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Word16, Word8] t => ByteString -> Tensor v'1 t -> Tensor v'2 Float -> Tensor v'3 Float -> (Tensor Build t, Tensor Build Float, Tensor Build Float)
quantizedAvgPool' :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Word16, Word8] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 Float -> Tensor v'3 Float -> (Tensor Build t, Tensor Build Float, Tensor Build Float)

quantizedBatchNormWithGlobalNormalization :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 v'12 v'13 v'14 v'15 tinput out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] out_type) => Bool -> Float -> Tensor v'1 tinput -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 tinput -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 tinput -> Tensor v'8 Float -> Tensor v'9 Float -> Tensor v'10 tinput -> Tensor v'11 Float -> Tensor v'12 Float -> Tensor v'13 tinput -> Tensor v'14 Float -> Tensor v'15 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizedBatchNormWithGlobalNormalization' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 v'12 v'13 v'14 v'15 tinput out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> Bool -> Float -> Tensor v'1 tinput -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 tinput -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 tinput -> Tensor v'8 Float -> Tensor v'9 Float -> Tensor v'10 tinput -> Tensor v'11 Float -> Tensor v'12 Float -> Tensor v'13 tinput -> Tensor v'14 Float -> Tensor v'15 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizedBiasAdd :: forall v'1 v'2 v'3 v'4 v'5 v'6 t1 t2 out_type. (OneOf '[Int16, Int32, Word16, Word8] t1, OneOf '[Int16, Int32, Word16, Word8] t2, OneOf '[Int16, Int32, Word16, Word8] out_type) => Tensor v'1 t1 -> Tensor v'2 t2 -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizedBiasAdd' :: forall v'1 v'2 v'3 v'4 v'5 v'6 t1 t2 out_type. (OneOf '[Int16, Int32, Word16, Word8] t1, OneOf '[Int16, Int32, Word16, Word8] t2, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> Tensor v'1 t1 -> Tensor v'2 t2 -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizedConcat :: forall v'1 v'2 v'3 v'4 t. TensorType t => Tensor v'1 Int32 -> [Tensor v'2 t] -> [Tensor v'3 Float] -> [Tensor v'4 Float] -> (Tensor Build t, Tensor Build Float, Tensor Build Float)
quantizedConcat' :: forall v'1 v'2 v'3 v'4 t. TensorType t => OpParams -> Tensor v'1 Int32 -> [Tensor v'2 t] -> [Tensor v'3 Float] -> [Tensor v'4 Float] -> (Tensor Build t, Tensor Build Float, Tensor Build Float)

quantizedConv2D :: forall v'1 v'2 v'3 v'4 v'5 v'6 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizedConv2D' :: forall v'1 v'2 v'3 v'4 v'5 v'6 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizedConv2DAndRelu :: forall v'1 v'2 v'3 v'4 v'5 v'6 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizedConv2DAndRelu' :: forall v'1 v'2 v'3 v'4 v'5 v'6 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizedConv2DAndReluAndRequantize :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizedConv2DAndReluAndRequantize' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizedConv2DAndRequantize :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizedConv2DAndRequantize' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizedConv2DPerChannel :: forall v'1 v'2 v'3 v'4 v'5 v'6 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizedConv2DPerChannel' :: forall v'1 v'2 v'3 v'4 v'5 v'6 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizedConv2DWithBias :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizedConv2DWithBias' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizedConv2DWithBiasAndRelu :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizedConv2DWithBiasAndRelu' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizedConv2DWithBiasAndReluAndRequantize :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 tinput tfilter tbias out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int32, Float] tbias, OneOf '[Int16, Int32, Word16, Word8] out_type) => ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 tbias -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> Tensor v'9 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizedConv2DWithBiasAndReluAndRequantize' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 tinput tfilter tbias out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int32, Float] tbias, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 tbias -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> Tensor v'9 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizedConv2DWithBiasAndRequantize :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 tinput tfilter tbias out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int32, Float] tbias, OneOf '[Int16, Int32, Word16, Word8] out_type) => ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 tbias -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> Tensor v'9 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizedConv2DWithBiasAndRequantize' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 tinput tfilter tbias out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int32, Float] tbias, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 tbias -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> Tensor v'9 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizedConv2DWithBiasSignedSumAndReluAndRequantize :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 v'12 tinput tfilter tbias tsummand out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int32, Float] tbias, OneOf '[Int16, Int32, Word16, Word8] tsummand, OneOf '[Int16, Int32, Word16, Word8] out_type) => ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 tbias -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> Tensor v'9 Float -> Tensor v'10 tsummand -> Tensor v'11 Float -> Tensor v'12 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizedConv2DWithBiasSignedSumAndReluAndRequantize' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 v'12 tinput tfilter tbias tsummand out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int32, Float] tbias, OneOf '[Int16, Int32, Word16, Word8] tsummand, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 tbias -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> Tensor v'9 Float -> Tensor v'10 tsummand -> Tensor v'11 Float -> Tensor v'12 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizedConv2DWithBiasSumAndRelu :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizedConv2DWithBiasSumAndRelu' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizedConv2DWithBiasSumAndReluAndRequantize :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 v'12 tinput tfilter tbias tsummand out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int32, Float] tbias, OneOf '[Int16, Int32, Word16, Word8] tsummand, OneOf '[Int16, Int32, Word16, Word8] out_type) => ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 tbias -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> Tensor v'9 Float -> Tensor v'10 tsummand -> Tensor v'11 Float -> Tensor v'12 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizedConv2DWithBiasSumAndReluAndRequantize' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 v'12 tinput tfilter tbias tsummand out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int32, Float] tbias, OneOf '[Int16, Int32, Word16, Word8] tsummand, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 tbias -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> Tensor v'9 Float -> Tensor v'10 tsummand -> Tensor v'11 Float -> Tensor v'12 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizedDepthwiseConv2D :: forall v'1 v'2 v'3 v'4 v'5 v'6 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizedDepthwiseConv2D' :: forall v'1 v'2 v'3 v'4 v'5 v'6 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizedDepthwiseConv2DWithBias :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizedDepthwiseConv2DWithBias' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizedDepthwiseConv2DWithBiasAndRelu :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizedDepthwiseConv2DWithBiasAndRelu' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 tinput tfilter out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizedDepthwiseConv2DWithBiasAndReluAndRequantize :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 tinput tfilter tbias out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int32, Float] tbias, OneOf '[Int16, Int32, Word16, Word8] out_type) => ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 tbias -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> Tensor v'9 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizedDepthwiseConv2DWithBiasAndReluAndRequantize' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 tinput tfilter tbias out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] tfilter, OneOf '[Int32, Float] tbias, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> ByteString -> Tensor v'1 tinput -> Tensor v'2 tfilter -> Tensor v'3 tbias -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> Tensor v'9 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizedInstanceNorm :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Word16, Word8] t => Tensor v'1 t -> Tensor v'2 Float -> Tensor v'3 Float -> (Tensor Build t, Tensor Build Float, Tensor Build Float)
quantizedInstanceNorm' :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Word16, Word8] t => OpParams -> Tensor v'1 t -> Tensor v'2 Float -> Tensor v'3 Float -> (Tensor Build t, Tensor Build Float, Tensor Build Float)

quantizedMatMul :: forall v'1 v'2 v'3 v'4 v'5 v'6 t1 t2 toutput. (OneOf '[Int16, Int32, Word16, Word8] t1, OneOf '[Int16, Int32, Word16, Word8] t2, OneOf '[Int16, Int32, Word16, Word8] toutput) => Tensor v'1 t1 -> Tensor v'2 t2 -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> (Tensor Build toutput, Tensor Build Float, Tensor Build Float)
quantizedMatMul' :: forall v'1 v'2 v'3 v'4 v'5 v'6 t1 t2 toutput. (OneOf '[Int16, Int32, Word16, Word8] t1, OneOf '[Int16, Int32, Word16, Word8] t2, OneOf '[Int16, Int32, Word16, Word8] toutput) => OpParams -> Tensor v'1 t1 -> Tensor v'2 t2 -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> (Tensor Build toutput, Tensor Build Float, Tensor Build Float)

quantizedMatMulWithBias :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 t1 t2 tbias toutput. (OneOf '[Int16, Int32, Word16, Word8] t1, OneOf '[Int16, Int32, Word16, Word8] t2, OneOf '[Int32, Float] tbias, OneOf '[Int16, Int32, Word16, Word8] toutput) => Tensor v'1 t1 -> Tensor v'2 t2 -> Tensor v'3 tbias -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> (Tensor Build toutput, Tensor Build Float, Tensor Build Float)
quantizedMatMulWithBias' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 t1 t2 tbias toutput. (OneOf '[Int16, Int32, Word16, Word8] t1, OneOf '[Int16, Int32, Word16, Word8] t2, OneOf '[Int32, Float] tbias, OneOf '[Int16, Int32, Word16, Word8] toutput) => OpParams -> Tensor v'1 t1 -> Tensor v'2 t2 -> Tensor v'3 tbias -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> (Tensor Build toutput, Tensor Build Float, Tensor Build Float)

quantizedMatMulWithBiasAndDequantize :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t1 t2 tbias toutput. (OneOf '[Int16, Int32, Word16, Word8] t1, OneOf '[Int16, Int32, Word16, Word8] t2, OneOf '[Int32, Float] tbias, OneOf '[Float] toutput) => Tensor v'1 t1 -> Tensor v'2 t2 -> Tensor v'3 tbias -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> Tensor v'9 Float -> Tensor Build toutput
quantizedMatMulWithBiasAndDequantize' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t1 t2 tbias toutput. (OneOf '[Int16, Int32, Word16, Word8] t1, OneOf '[Int16, Int32, Word16, Word8] t2, OneOf '[Int32, Float] tbias, OneOf '[Float] toutput) => OpParams -> Tensor v'1 t1 -> Tensor v'2 t2 -> Tensor v'3 tbias -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> Tensor v'9 Float -> Tensor Build toutput

quantizedMatMulWithBiasAndRelu :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 t1 t2 toutput. (OneOf '[Int16, Int32, Word16, Word8] t1, OneOf '[Int16, Int32, Word16, Word8] t2, OneOf '[Int16, Int32, Word16, Word8] toutput) => Tensor v'1 t1 -> Tensor v'2 t2 -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> (Tensor Build toutput, Tensor Build Float, Tensor Build Float)
quantizedMatMulWithBiasAndRelu' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 t1 t2 toutput. (OneOf '[Int16, Int32, Word16, Word8] t1, OneOf '[Int16, Int32, Word16, Word8] t2, OneOf '[Int16, Int32, Word16, Word8] toutput) => OpParams -> Tensor v'1 t1 -> Tensor v'2 t2 -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> (Tensor Build toutput, Tensor Build Float, Tensor Build Float)

quantizedMatMulWithBiasAndReluAndRequantize :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t1 t2 tbias toutput. (OneOf '[Int16, Int32, Word16, Word8] t1, OneOf '[Int16, Int32, Word16, Word8] t2, OneOf '[Int32, Float] tbias, OneOf '[Int16, Int32, Word16, Word8] toutput) => Tensor v'1 t1 -> Tensor v'2 t2 -> Tensor v'3 tbias -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> Tensor v'9 Float -> (Tensor Build toutput, Tensor Build Float, Tensor Build Float)
quantizedMatMulWithBiasAndReluAndRequantize' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t1 t2 tbias toutput. (OneOf '[Int16, Int32, Word16, Word8] t1, OneOf '[Int16, Int32, Word16, Word8] t2, OneOf '[Int32, Float] tbias, OneOf '[Int16, Int32, Word16, Word8] toutput) => OpParams -> Tensor v'1 t1 -> Tensor v'2 t2 -> Tensor v'3 tbias -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> Tensor v'9 Float -> (Tensor Build toutput, Tensor Build Float, Tensor Build Float)

quantizedMatMulWithBiasAndRequantize :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t1 t2 tbias toutput. (OneOf '[Int16, Int32, Word16, Word8] t1, OneOf '[Int16, Int32, Word16, Word8] t2, OneOf '[Int32, Float] tbias, OneOf '[Int16, Int32, Word16, Word8] toutput) => Tensor v'1 t1 -> Tensor v'2 t2 -> Tensor v'3 tbias -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> Tensor v'9 Float -> (Tensor Build toutput, Tensor Build Float, Tensor Build Float)
quantizedMatMulWithBiasAndRequantize' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t1 t2 tbias toutput. (OneOf '[Int16, Int32, Word16, Word8] t1, OneOf '[Int16, Int32, Word16, Word8] t2, OneOf '[Int32, Float] tbias, OneOf '[Int16, Int32, Word16, Word8] toutput) => OpParams -> Tensor v'1 t1 -> Tensor v'2 t2 -> Tensor v'3 tbias -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> Tensor v'7 Float -> Tensor v'8 Float -> Tensor v'9 Float -> (Tensor Build toutput, Tensor Build Float, Tensor Build Float)

quantizedMaxPool :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Word16, Word8] t => ByteString -> Tensor v'1 t -> Tensor v'2 Float -> Tensor v'3 Float -> (Tensor Build t, Tensor Build Float, Tensor Build Float)
quantizedMaxPool' :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Word16, Word8] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 Float -> Tensor v'3 Float -> (Tensor Build t, Tensor Build Float, Tensor Build Float)

quantizedMul :: forall v'1 v'2 v'3 v'4 v'5 v'6 t1 t2 toutput. (OneOf '[Int16, Int32, Word16, Word8] t1, OneOf '[Int16, Int32, Word16, Word8] t2, OneOf '[Int16, Int32, Word16, Word8] toutput) => Tensor v'1 t1 -> Tensor v'2 t2 -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> (Tensor Build toutput, Tensor Build Float, Tensor Build Float)
quantizedMul' :: forall v'1 v'2 v'3 v'4 v'5 v'6 t1 t2 toutput. (OneOf '[Int16, Int32, Word16, Word8] t1, OneOf '[Int16, Int32, Word16, Word8] t2, OneOf '[Int16, Int32, Word16, Word8] toutput) => OpParams -> Tensor v'1 t1 -> Tensor v'2 t2 -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> Tensor v'6 Float -> (Tensor Build toutput, Tensor Build Float, Tensor Build Float)

quantizedRelu :: forall v'1 v'2 v'3 tinput out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] out_type) => Tensor v'1 tinput -> Tensor v'2 Float -> Tensor v'3 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizedRelu' :: forall v'1 v'2 v'3 tinput out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> Tensor v'1 tinput -> Tensor v'2 Float -> Tensor v'3 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizedRelu6 :: forall v'1 v'2 v'3 tinput out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] out_type) => Tensor v'1 tinput -> Tensor v'2 Float -> Tensor v'3 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizedRelu6' :: forall v'1 v'2 v'3 tinput out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> Tensor v'1 tinput -> Tensor v'2 Float -> Tensor v'3 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizedReluX :: forall v'1 v'2 v'3 v'4 tinput out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] out_type) => Tensor v'1 tinput -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
quantizedReluX' :: forall v'1 v'2 v'3 v'4 tinput out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> Tensor v'1 tinput -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

quantizedReshape :: forall v'1 v'2 v'3 v'4 t tshape. (TensorType t, OneOf '[Int32, Int64] tshape) => Tensor v'1 t -> Tensor v'2 tshape -> Tensor v'3 Float -> Tensor v'4 Float -> (Tensor Build t, Tensor Build Float, Tensor Build Float)
quantizedReshape' :: forall v'1 v'2 v'3 v'4 t tshape. (TensorType t, OneOf '[Int32, Int64] tshape) => OpParams -> Tensor v'1 t -> Tensor v'2 tshape -> Tensor v'3 Float -> Tensor v'4 Float -> (Tensor Build t, Tensor Build Float, Tensor Build Float)

quantizedResizeBilinear :: forall v'1 v'2 v'3 v'4 t. OneOf '[Int32, Word8, Float] t => Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 Float -> Tensor v'4 Float -> (Tensor Build t, Tensor Build Float, Tensor Build Float)
quantizedResizeBilinear' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Int32, Word8, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 Float -> Tensor v'4 Float -> (Tensor Build t, Tensor Build Float, Tensor Build Float)

queueClose :: forall m'. MonadBuild m' => Tensor Ref ByteString -> m' ControlNode
queueClose' :: forall m'. MonadBuild m' => OpParams -> Tensor Ref ByteString -> m' ControlNode

queueCloseV2 :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' ControlNode
queueCloseV2' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' ControlNode

queueDequeue :: forall component_types m'. (MonadBuild m', TensorTypes component_types) => Tensor Ref ByteString -> m' (TensorList Value component_types)
queueDequeue' :: forall component_types m'. (MonadBuild m', TensorTypes component_types) => OpParams -> Tensor Ref ByteString -> m' (TensorList Value component_types)

queueDequeueMany :: forall v'2 component_types m'. (MonadBuild m', TensorTypes component_types) => Tensor Ref ByteString -> Tensor v'2 Int32 -> m' (TensorList Value component_types)
queueDequeueMany' :: forall v'2 component_types m'. (MonadBuild m', TensorTypes component_types) => OpParams -> Tensor Ref ByteString -> Tensor v'2 Int32 -> m' (TensorList Value component_types)

queueDequeueManyV2 :: forall v'1 v'2 component_types m'. (MonadBuild m', TensorTypes component_types) => Tensor v'1 ResourceHandle -> Tensor v'2 Int32 -> m' (TensorList Value component_types)
queueDequeueManyV2' :: forall v'1 v'2 component_types m'. (MonadBuild m', TensorTypes component_types) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int32 -> m' (TensorList Value component_types)

queueDequeueUpTo :: forall v'2 component_types m'. (MonadBuild m', TensorTypes component_types) => Tensor Ref ByteString -> Tensor v'2 Int32 -> m' (TensorList Value component_types)
queueDequeueUpTo' :: forall v'2 component_types m'. (MonadBuild m', TensorTypes component_types) => OpParams -> Tensor Ref ByteString -> Tensor v'2 Int32 -> m' (TensorList Value component_types)

queueDequeueUpToV2 :: forall v'1 v'2 component_types m'. (MonadBuild m', TensorTypes component_types) => Tensor v'1 ResourceHandle -> Tensor v'2 Int32 -> m' (TensorList Value component_types)
queueDequeueUpToV2' :: forall v'1 v'2 component_types m'. (MonadBuild m', TensorTypes component_types) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int32 -> m' (TensorList Value component_types)

queueDequeueV2 :: forall v'1 component_types m'. (MonadBuild m', TensorTypes component_types) => Tensor v'1 ResourceHandle -> m' (TensorList Value component_types)
queueDequeueV2' :: forall v'1 component_types m'. (MonadBuild m', TensorTypes component_types) => OpParams -> Tensor v'1 ResourceHandle -> m' (TensorList Value component_types)

queueEnqueue :: forall v'2 tcomponents m'. (MonadBuild m', TensorTypes tcomponents) => Tensor Ref ByteString -> TensorList v'2 tcomponents -> m' ControlNode
queueEnqueue' :: forall v'2 tcomponents m'. (MonadBuild m', TensorTypes tcomponents) => OpParams -> Tensor Ref ByteString -> TensorList v'2 tcomponents -> m' ControlNode

queueEnqueueMany :: forall v'2 tcomponents m'. (MonadBuild m', TensorTypes tcomponents) => Tensor Ref ByteString -> TensorList v'2 tcomponents -> m' ControlNode
queueEnqueueMany' :: forall v'2 tcomponents m'. (MonadBuild m', TensorTypes tcomponents) => OpParams -> Tensor Ref ByteString -> TensorList v'2 tcomponents -> m' ControlNode

queueEnqueueManyV2 :: forall v'1 v'2 tcomponents m'. (MonadBuild m', TensorTypes tcomponents) => Tensor v'1 ResourceHandle -> TensorList v'2 tcomponents -> m' ControlNode
queueEnqueueManyV2' :: forall v'1 v'2 tcomponents m'. (MonadBuild m', TensorTypes tcomponents) => OpParams -> Tensor v'1 ResourceHandle -> TensorList v'2 tcomponents -> m' ControlNode

queueEnqueueV2 :: forall v'1 v'2 tcomponents m'. (MonadBuild m', TensorTypes tcomponents) => Tensor v'1 ResourceHandle -> TensorList v'2 tcomponents -> m' ControlNode
queueEnqueueV2' :: forall v'1 v'2 tcomponents m'. (MonadBuild m', TensorTypes tcomponents) => OpParams -> Tensor v'1 ResourceHandle -> TensorList v'2 tcomponents -> m' ControlNode

queueIsClosed :: forall m'. MonadBuild m' => Tensor Ref ByteString -> m' (Tensor Value Bool)
queueIsClosed' :: forall m'. MonadBuild m' => OpParams -> Tensor Ref ByteString -> m' (Tensor Value Bool)

queueIsClosedV2 :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value Bool)
queueIsClosedV2' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value Bool)

queueSize :: forall m'. MonadBuild m' => Tensor Ref ByteString -> m' (Tensor Value Int32)
queueSize' :: forall m'. MonadBuild m' => OpParams -> Tensor Ref ByteString -> m' (Tensor Value Int32)

queueSizeV2 :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value Int32)
queueSizeV2' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value Int32)

rFFT :: forall v'1 v'2 treal tcomplex. (OneOf '[Double, Float] treal, OneOf '[Complex Double, Complex Float] tcomplex) => Tensor v'1 treal -> Tensor v'2 Int32 -> Tensor Build tcomplex
rFFT' :: forall v'1 v'2 treal tcomplex. (OneOf '[Double, Float] treal, OneOf '[Complex Double, Complex Float] tcomplex) => OpParams -> Tensor v'1 treal -> Tensor v'2 Int32 -> Tensor Build tcomplex

rFFT2D :: forall v'1 v'2 treal tcomplex. (OneOf '[Double, Float] treal, OneOf '[Complex Double, Complex Float] tcomplex) => Tensor v'1 treal -> Tensor v'2 Int32 -> Tensor Build tcomplex
rFFT2D' :: forall v'1 v'2 treal tcomplex. (OneOf '[Double, Float] treal, OneOf '[Complex Double, Complex Float] tcomplex) => OpParams -> Tensor v'1 treal -> Tensor v'2 Int32 -> Tensor Build tcomplex

rFFT3D :: forall v'1 v'2 treal tcomplex. (OneOf '[Double, Float] treal, OneOf '[Complex Double, Complex Float] tcomplex) => Tensor v'1 treal -> Tensor v'2 Int32 -> Tensor Build tcomplex
rFFT3D' :: forall v'1 v'2 treal tcomplex. (OneOf '[Double, Float] treal, OneOf '[Complex Double, Complex Float] tcomplex) => OpParams -> Tensor v'1 treal -> Tensor v'2 Int32 -> Tensor Build tcomplex

rGBToHSV :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
rGBToHSV' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

raggedBincount :: forall v'1 v'2 v'3 v'4 tidx t. (OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64, Double, Float] t) => Tensor v'1 Int64 -> Tensor v'2 tidx -> Tensor v'3 tidx -> Tensor v'4 t -> Tensor Build t
raggedBincount' :: forall v'1 v'2 v'3 v'4 tidx t. (OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64, Double, Float] t) => OpParams -> Tensor v'1 Int64 -> Tensor v'2 tidx -> Tensor v'3 tidx -> Tensor v'4 t -> Tensor Build t

raggedCountSparseOutput :: forall v'1 v'2 v'3 t output_type. (OneOf '[Int32, Int64] t, OneOf '[Int32, Int64, Double, Float] output_type) => Bool -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 output_type -> (Tensor Build Int64, Tensor Build output_type, Tensor Build Int64)
raggedCountSparseOutput' :: forall v'1 v'2 v'3 t output_type. (OneOf '[Int32, Int64] t, OneOf '[Int32, Int64, Double, Float] output_type) => OpParams -> Bool -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 output_type -> (Tensor Build Int64, Tensor Build output_type, Tensor Build Int64)

raggedCross :: forall v'1 v'2 v'3 v'4 v'5 v'6 ragged_values_types ragged_splits_types sparse_values_types dense_types out_values_type out_row_splits_type. (OneOfs '[ByteString, Int64] ragged_values_types, OneOfs '[Int32, Int64] ragged_splits_types, OneOfs '[ByteString, Int64] sparse_values_types, OneOfs '[ByteString, Int64] dense_types, OneOf '[ByteString, Int64] out_values_type, OneOf '[Int32, Int64] out_row_splits_type) => Int64 -> Bool -> ByteString -> Int64 -> TensorList v'1 ragged_values_types -> TensorList v'2 ragged_splits_types -> [Tensor v'3 Int64] -> TensorList v'4 sparse_values_types -> [Tensor v'5 Int64] -> TensorList v'6 dense_types -> (Tensor Build out_values_type, Tensor Build out_row_splits_type)
raggedCross' :: forall v'1 v'2 v'3 v'4 v'5 v'6 ragged_values_types ragged_splits_types sparse_values_types dense_types out_values_type out_row_splits_type. (OneOfs '[ByteString, Int64] ragged_values_types, OneOfs '[Int32, Int64] ragged_splits_types, OneOfs '[ByteString, Int64] sparse_values_types, OneOfs '[ByteString, Int64] dense_types, OneOf '[ByteString, Int64] out_values_type, OneOf '[Int32, Int64] out_row_splits_type) => OpParams -> Int64 -> Bool -> ByteString -> Int64 -> TensorList v'1 ragged_values_types -> TensorList v'2 ragged_splits_types -> [Tensor v'3 Int64] -> TensorList v'4 sparse_values_types -> [Tensor v'5 Int64] -> TensorList v'6 dense_types -> (Tensor Build out_values_type, Tensor Build out_row_splits_type)

raggedGather :: forall v'1 v'2 v'3 tvalues tindices tsplits. (TensorType tvalues, OneOf '[Int32, Int64] tindices, OneOf '[Int32, Int64] tsplits) => Int64 -> [Tensor v'1 tsplits] -> Tensor v'2 tvalues -> Tensor v'3 tindices -> ([Tensor Build tsplits], Tensor Build tvalues)
raggedGather' :: forall v'1 v'2 v'3 tvalues tindices tsplits. (TensorType tvalues, OneOf '[Int32, Int64] tindices, OneOf '[Int32, Int64] tsplits) => OpParams -> Int64 -> [Tensor v'1 tsplits] -> Tensor v'2 tvalues -> Tensor v'3 tindices -> ([Tensor Build tsplits], Tensor Build tvalues)

raggedRange :: forall v'1 v'2 v'3 t tsplits. (OneOf '[Int32, Int64, Word16, Double, Float] t, OneOf '[Int32, Int64] tsplits) => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> (Tensor Build tsplits, Tensor Build t)
raggedRange' :: forall v'1 v'2 v'3 t tsplits. (OneOf '[Int32, Int64, Word16, Double, Float] t, OneOf '[Int32, Int64] tsplits) => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> (Tensor Build tsplits, Tensor Build t)

raggedTensorFromVariant :: forall v'1 tvalues tsplits. (TensorType tvalues, OneOf '[Int32, Int64] tsplits) => Int64 -> Int64 -> Tensor v'1 Variant -> ([Tensor Build tsplits], Tensor Build tvalues)
raggedTensorFromVariant' :: forall v'1 tvalues tsplits. (TensorType tvalues, OneOf '[Int32, Int64] tsplits) => OpParams -> Int64 -> Int64 -> Tensor v'1 Variant -> ([Tensor Build tsplits], Tensor Build tvalues)

raggedTensorToSparse :: forall v'1 v'2 t tsplits. (TensorType t, OneOf '[Int32, Int64] tsplits) => [Tensor v'1 tsplits] -> Tensor v'2 t -> (Tensor Build Int64, Tensor Build t, Tensor Build Int64)
raggedTensorToSparse' :: forall v'1 v'2 t tsplits. (TensorType t, OneOf '[Int32, Int64] tsplits) => OpParams -> [Tensor v'1 tsplits] -> Tensor v'2 t -> (Tensor Build Int64, Tensor Build t, Tensor Build Int64)

raggedTensorToTensor :: forall v'1 v'2 v'3 v'4 t tindex tshape. (TensorType t, OneOf '[Int32, Int64] tindex, OneOf '[Int32, Int64] tshape) => Tensor v'1 tshape -> Tensor v'2 t -> Tensor v'3 t -> [Tensor v'4 tindex] -> Tensor Build t
raggedTensorToTensor' :: forall v'1 v'2 v'3 v'4 t tindex tshape. (TensorType t, OneOf '[Int32, Int64] tindex, OneOf '[Int32, Int64] tshape) => OpParams -> Tensor v'1 tshape -> Tensor v'2 t -> Tensor v'3 t -> [Tensor v'4 tindex] -> Tensor Build t

raggedTensorToVariant :: forall v'1 v'2 tvalues tsplits. (TensorType tvalues, OneOf '[Int32, Int64] tsplits) => Bool -> [Tensor v'1 tsplits] -> Tensor v'2 tvalues -> Tensor Build Variant
raggedTensorToVariant' :: forall v'1 v'2 tvalues tsplits. (TensorType tvalues, OneOf '[Int32, Int64] tsplits) => OpParams -> Bool -> [Tensor v'1 tsplits] -> Tensor v'2 tvalues -> Tensor Build Variant

randomCrop :: forall v'1 v'2 t m'. (MonadBuild m', OneOf '[Int16, Int32, Int64, Int8, Word8, Double, Float] t) => Tensor v'1 t -> Tensor v'2 Int64 -> m' (Tensor Value t)
randomCrop' :: forall v'1 v'2 t m'. (MonadBuild m', OneOf '[Int16, Int32, Int64, Int8, Word8, Double, Float] t) => OpParams -> Tensor v'1 t -> Tensor v'2 Int64 -> m' (Tensor Value t)

randomDataset :: forall v'1 v'2 m'. MonadBuild m' => [DataType] -> Tensor v'1 Int64 -> Tensor v'2 Int64 -> m' (Tensor Value Variant)
randomDataset' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> [DataType] -> Tensor v'1 Int64 -> Tensor v'2 Int64 -> m' (Tensor Value Variant)

randomGamma :: forall v'1 v'2 s t m'. (MonadBuild m', OneOf '[Int32, Int64] s, OneOf '[Word16, Double, Float] t) => Tensor v'1 s -> Tensor v'2 t -> m' (Tensor Value t)
randomGamma' :: forall v'1 v'2 s t m'. (MonadBuild m', OneOf '[Int32, Int64] s, OneOf '[Word16, Double, Float] t) => OpParams -> Tensor v'1 s -> Tensor v'2 t -> m' (Tensor Value t)

randomGammaGrad :: forall v'1 v'2 t. OneOf '[Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
randomGammaGrad' :: forall v'1 v'2 t. OneOf '[Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

randomPoisson :: forall v'1 v'2 s dtype m'. (MonadBuild m', OneOf '[Int32, Int64] s, OneOf '[Word16, Double, Float] dtype) => Tensor v'1 s -> Tensor v'2 dtype -> m' (Tensor Value dtype)
randomPoisson' :: forall v'1 v'2 s dtype m'. (MonadBuild m', OneOf '[Int32, Int64] s, OneOf '[Word16, Double, Float] dtype) => OpParams -> Tensor v'1 s -> Tensor v'2 dtype -> m' (Tensor Value dtype)

randomPoissonV2 :: forall v'1 v'2 s r dtype m'. (MonadBuild m', OneOf '[Int32, Int64] s, OneOf '[Int32, Int64, Word16, Double, Float] r, OneOf '[Int32, Int64, Word16, Double, Float] dtype) => Tensor v'1 s -> Tensor v'2 r -> m' (Tensor Value dtype)
randomPoissonV2' :: forall v'1 v'2 s r dtype m'. (MonadBuild m', OneOf '[Int32, Int64] s, OneOf '[Int32, Int64, Word16, Double, Float] r, OneOf '[Int32, Int64, Word16, Double, Float] dtype) => OpParams -> Tensor v'1 s -> Tensor v'2 r -> m' (Tensor Value dtype)

randomShuffle :: forall v'1 t m'. (MonadBuild m', TensorType t) => Tensor v'1 t -> m' (Tensor Value t)
randomShuffle' :: forall v'1 t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor v'1 t -> m' (Tensor Value t)

randomShuffleQueue :: forall m'. MonadBuild m' => [DataType] -> m' (Tensor Ref ByteString)
randomShuffleQueue' :: forall m'. MonadBuild m' => OpParams -> [DataType] -> m' (Tensor Ref ByteString)

randomShuffleQueueV2 :: forall m'. MonadBuild m' => [DataType] -> m' (Tensor Value ResourceHandle)
randomShuffleQueueV2' :: forall m'. MonadBuild m' => OpParams -> [DataType] -> m' (Tensor Value ResourceHandle)

randomStandardNormal :: forall v'1 dtype t m'. (MonadBuild m', OneOf '[Word16, Double, Float] dtype, OneOf '[Int32, Int64] t) => Tensor v'1 t -> m' (Tensor Value dtype)
randomStandardNormal' :: forall v'1 dtype t m'. (MonadBuild m', OneOf '[Word16, Double, Float] dtype, OneOf '[Int32, Int64] t) => OpParams -> Tensor v'1 t -> m' (Tensor Value dtype)

randomUniform :: forall v'1 dtype t m'. (MonadBuild m', OneOf '[Word16, Double, Float] dtype, OneOf '[Int32, Int64] t) => Tensor v'1 t -> m' (Tensor Value dtype)
randomUniform' :: forall v'1 dtype t m'. (MonadBuild m', OneOf '[Word16, Double, Float] dtype, OneOf '[Int32, Int64] t) => OpParams -> Tensor v'1 t -> m' (Tensor Value dtype)

randomUniformInt :: forall v'1 v'2 v'3 tout t m'. (MonadBuild m', OneOf '[Int32, Int64] tout, OneOf '[Int32, Int64] t) => Tensor v'1 t -> Tensor v'2 tout -> Tensor v'3 tout -> m' (Tensor Value tout)
randomUniformInt' :: forall v'1 v'2 v'3 tout t m'. (MonadBuild m', OneOf '[Int32, Int64] tout, OneOf '[Int32, Int64] t) => OpParams -> Tensor v'1 t -> Tensor v'2 tout -> Tensor v'3 tout -> m' (Tensor Value tout)

range :: forall v'1 v'2 v'3 tidx. OneOf '[Int32, Int64, Word16, Double, Float] tidx => Tensor v'1 tidx -> Tensor v'2 tidx -> Tensor v'3 tidx -> Tensor Build tidx
range' :: forall v'1 v'2 v'3 tidx. OneOf '[Int32, Int64, Word16, Double, Float] tidx => OpParams -> Tensor v'1 tidx -> Tensor v'2 tidx -> Tensor v'3 tidx -> Tensor Build tidx

rangeDataset :: forall v'1 v'2 v'3 m'. MonadBuild m' => [DataType] -> Tensor v'1 Int64 -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> m' (Tensor Value Variant)
rangeDataset' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> [DataType] -> Tensor v'1 Int64 -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> m' (Tensor Value Variant)

rank :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build Int32
rank' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build Int32

readFile :: Tensor v'1 ByteString -> Tensor Build ByteString
readFile' :: OpParams -> Tensor v'1 ByteString -> Tensor Build ByteString

readVariableOp :: forall v'1 dtype m'. (MonadBuild m', TensorType dtype) => Tensor v'1 ResourceHandle -> m' (Tensor Value dtype)
readVariableOp' :: forall v'1 dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value dtype)

readerNumRecordsProduced :: forall m'. MonadBuild m' => Tensor Ref ByteString -> m' (Tensor Value Int64)
readerNumRecordsProduced' :: forall m'. MonadBuild m' => OpParams -> Tensor Ref ByteString -> m' (Tensor Value Int64)

readerNumRecordsProducedV2 :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value Int64)
readerNumRecordsProducedV2' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value Int64)

readerNumWorkUnitsCompleted :: forall m'. MonadBuild m' => Tensor Ref ByteString -> m' (Tensor Value Int64)
readerNumWorkUnitsCompleted' :: forall m'. MonadBuild m' => OpParams -> Tensor Ref ByteString -> m' (Tensor Value Int64)

readerNumWorkUnitsCompletedV2 :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value Int64)
readerNumWorkUnitsCompletedV2' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value Int64)

readerRead :: forall m'. MonadBuild m' => Tensor Ref ByteString -> Tensor Ref ByteString -> m' (Tensor Value ByteString, Tensor Value ByteString)
readerRead' :: forall m'. MonadBuild m' => OpParams -> Tensor Ref ByteString -> Tensor Ref ByteString -> m' (Tensor Value ByteString, Tensor Value ByteString)

readerReadUpTo :: forall v'3 m'. MonadBuild m' => Tensor Ref ByteString -> Tensor Ref ByteString -> Tensor v'3 Int64 -> m' (Tensor Value ByteString, Tensor Value ByteString)
readerReadUpTo' :: forall v'3 m'. MonadBuild m' => OpParams -> Tensor Ref ByteString -> Tensor Ref ByteString -> Tensor v'3 Int64 -> m' (Tensor Value ByteString, Tensor Value ByteString)

readerReadUpToV2 :: forall v'1 v'2 v'3 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 Int64 -> m' (Tensor Value ByteString, Tensor Value ByteString)
readerReadUpToV2' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 Int64 -> m' (Tensor Value ByteString, Tensor Value ByteString)

readerReadV2 :: forall v'1 v'2 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> m' (Tensor Value ByteString, Tensor Value ByteString)
readerReadV2' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> m' (Tensor Value ByteString, Tensor Value ByteString)

readerReset :: forall m'. MonadBuild m' => Tensor Ref ByteString -> m' ControlNode
readerReset' :: forall m'. MonadBuild m' => OpParams -> Tensor Ref ByteString -> m' ControlNode

readerResetV2 :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' ControlNode
readerResetV2' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' ControlNode

readerRestoreState :: forall v'2 m'. MonadBuild m' => Tensor Ref ByteString -> Tensor v'2 ByteString -> m' ControlNode
readerRestoreState' :: forall v'2 m'. MonadBuild m' => OpParams -> Tensor Ref ByteString -> Tensor v'2 ByteString -> m' ControlNode

readerRestoreStateV2 :: forall v'1 v'2 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 ByteString -> m' ControlNode
readerRestoreStateV2' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ByteString -> m' ControlNode

readerSerializeState :: forall m'. MonadBuild m' => Tensor Ref ByteString -> m' (Tensor Value ByteString)
readerSerializeState' :: forall m'. MonadBuild m' => OpParams -> Tensor Ref ByteString -> m' (Tensor Value ByteString)

readerSerializeStateV2 :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value ByteString)
readerSerializeStateV2' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value ByteString)

real :: forall v'1 t tout. (OneOf '[Complex Double, Complex Float] t, OneOf '[Double, Float] tout) => Tensor v'1 t -> Tensor Build tout
real' :: forall v'1 t tout. (OneOf '[Complex Double, Complex Float] t, OneOf '[Double, Float] tout) => OpParams -> Tensor v'1 t -> Tensor Build tout

realDiv :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
realDiv' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

rebatchDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant
rebatchDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant

reciprocal :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
reciprocal' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

reciprocalGrad :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
reciprocalGrad' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

recordInput :: forall m'. MonadBuild m' => ByteString -> m' (Tensor Value ByteString)
recordInput' :: forall m'. MonadBuild m' => OpParams -> ByteString -> m' (Tensor Value ByteString)

recv :: forall tensor_type m'. (MonadBuild m', TensorType tensor_type) => ByteString -> ByteString -> Int64 -> ByteString -> m' (Tensor Value tensor_type)
recv' :: forall tensor_type m'. (MonadBuild m', TensorType tensor_type) => OpParams -> ByteString -> ByteString -> Int64 -> ByteString -> m' (Tensor Value tensor_type)

recvTPUEmbeddingActivations :: forall m'. MonadBuild m' => ByteString -> Int64 -> m' [Tensor Value Float]
recvTPUEmbeddingActivations' :: forall m'. MonadBuild m' => OpParams -> ByteString -> Int64 -> m' [Tensor Value Float]

reduceJoin :: Tensor v'1 ByteString -> Tensor v'2 Int32 -> Tensor Build ByteString
reduceJoin' :: OpParams -> Tensor v'1 ByteString -> Tensor v'2 Int32 -> Tensor Build ByteString

refEnter :: forall t m'. (MonadBuild m', TensorType t) => ByteString -> Tensor Ref t -> m' (Tensor Ref t)
refEnter' :: forall t m'. (MonadBuild m', TensorType t) => OpParams -> ByteString -> Tensor Ref t -> m' (Tensor Ref t)

refExit :: forall t m'. (MonadBuild m', TensorType t) => Tensor Ref t -> m' (Tensor Ref t)
refExit' :: forall t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor Ref t -> m' (Tensor Ref t)

refIdentity :: forall t m'. (MonadBuild m', TensorType t) => Tensor Ref t -> m' (Tensor Ref t)
refIdentity' :: forall t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor Ref t -> m' (Tensor Ref t)

refMerge :: forall t m'. (MonadBuild m', TensorType t) => [Tensor Ref t] -> m' (Tensor Ref t, Tensor Value Int32)
refMerge' :: forall t m'. (MonadBuild m', TensorType t) => OpParams -> [Tensor Ref t] -> m' (Tensor Ref t, Tensor Value Int32)

refNextIteration :: forall t m'. (MonadBuild m', TensorType t) => Tensor Ref t -> m' (Tensor Ref t)
refNextIteration' :: forall t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor Ref t -> m' (Tensor Ref t)

refSelect :: forall v'1 t m'. (MonadBuild m', TensorType t) => Tensor v'1 Int32 -> [Tensor Ref t] -> m' (Tensor Ref t)
refSelect' :: forall v'1 t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor v'1 Int32 -> [Tensor Ref t] -> m' (Tensor Ref t)

refSwitch :: forall v'2 t m'. (MonadBuild m', TensorType t) => Tensor Ref t -> Tensor v'2 Bool -> m' (Tensor Ref t, Tensor Ref t)
refSwitch' :: forall v'2 t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor Ref t -> Tensor v'2 Bool -> m' (Tensor Ref t, Tensor Ref t)

regexFullMatch :: Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor Build Bool
regexFullMatch' :: OpParams -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor Build Bool

regexReplace :: Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> Tensor Build ByteString
regexReplace' :: OpParams -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> Tensor Build ByteString

registerDataset :: Int64 -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> Tensor Build Int64
registerDataset' :: OpParams -> Int64 -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> Tensor Build Int64

relu :: forall v'1 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor Build t
relu' :: forall v'1 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

relu6 :: forall v'1 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor Build t
relu6' :: forall v'1 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

relu6Grad :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
relu6Grad' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

reluGrad :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
reluGrad' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

remoteFusedGraphExecute :: forall v'1 tinputs toutputs. (TensorTypes tinputs, TensorTypes toutputs) => ByteString -> TensorList v'1 tinputs -> TensorList Build toutputs
remoteFusedGraphExecute' :: forall v'1 tinputs toutputs. (TensorTypes tinputs, TensorTypes toutputs) => OpParams -> ByteString -> TensorList v'1 tinputs -> TensorList Build toutputs

repeatDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant
repeatDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant

requantizationRange :: forall v'1 v'2 v'3 tinput. OneOf '[Int16, Int32, Word16, Word8] tinput => Tensor v'1 tinput -> Tensor v'2 Float -> Tensor v'3 Float -> (Tensor Build Float, Tensor Build Float)
requantizationRange' :: forall v'1 v'2 v'3 tinput. OneOf '[Int16, Int32, Word16, Word8] tinput => OpParams -> Tensor v'1 tinput -> Tensor v'2 Float -> Tensor v'3 Float -> (Tensor Build Float, Tensor Build Float)

requantizationRangePerChannel :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Word16, Word8] t => Float -> Tensor v'1 t -> Tensor v'2 Float -> Tensor v'3 Float -> (Tensor Build Float, Tensor Build Float)
requantizationRangePerChannel' :: forall v'1 v'2 v'3 t. OneOf '[Int16, Int32, Word16, Word8] t => OpParams -> Float -> Tensor v'1 t -> Tensor v'2 Float -> Tensor v'3 Float -> (Tensor Build Float, Tensor Build Float)

requantize :: forall v'1 v'2 v'3 v'4 v'5 tinput out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] out_type) => Tensor v'1 tinput -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
requantize' :: forall v'1 v'2 v'3 v'4 v'5 tinput out_type. (OneOf '[Int16, Int32, Word16, Word8] tinput, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> Tensor v'1 tinput -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

requantizePerChannel :: forall v'1 v'2 v'3 v'4 v'5 t out_type. (OneOf '[Int16, Int32, Word16, Word8] t, OneOf '[Int16, Int32, Word16, Word8] out_type) => Tensor v'1 t -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)
requantizePerChannel' :: forall v'1 v'2 v'3 v'4 v'5 t out_type. (OneOf '[Int16, Int32, Word16, Word8] t, OneOf '[Int16, Int32, Word16, Word8] out_type) => OpParams -> Tensor v'1 t -> Tensor v'2 Float -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor v'5 Float -> (Tensor Build out_type, Tensor Build Float, Tensor Build Float)

reshape :: forall v'1 v'2 t tshape. (TensorType t, OneOf '[Int32, Int64] tshape) => Tensor v'1 t -> Tensor v'2 tshape -> Tensor Build t
reshape' :: forall v'1 v'2 t tshape. (TensorType t, OneOf '[Int32, Int64] tshape) => OpParams -> Tensor v'1 t -> Tensor v'2 tshape -> Tensor Build t

resizeArea :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 Int32 -> Tensor Build Float
resizeArea' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor Build Float

resizeBicubic :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 Int32 -> Tensor Build Float
resizeBicubic' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor Build Float

resizeBicubicGrad :: forall v'1 v'2 t. OneOf '[Double, Float] t => Tensor v'1 Float -> Tensor v'2 t -> Tensor Build t
resizeBicubicGrad' :: forall v'1 v'2 t. OneOf '[Double, Float] t => OpParams -> Tensor v'1 Float -> Tensor v'2 t -> Tensor Build t

resizeBilinear :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 Int32 -> Tensor Build Float
resizeBilinear' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor Build Float

resizeBilinearGrad :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => Tensor v'1 Float -> Tensor v'2 t -> Tensor Build t
resizeBilinearGrad' :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 Float -> Tensor v'2 t -> Tensor Build t

resizeNearestNeighbor :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 Int32 -> Tensor Build t
resizeNearestNeighbor' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor Build t

resizeNearestNeighborGrad :: forall v'1 v'2 t. OneOf '[Int32, Int8, Word16, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 Int32 -> Tensor Build t
resizeNearestNeighborGrad' :: forall v'1 v'2 t. OneOf '[Int32, Int8, Word16, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor Build t

resourceAccumulatorApplyGradient :: forall v'1 v'2 v'3 dtype m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype) => Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 dtype -> m' ControlNode
resourceAccumulatorApplyGradient' :: forall v'1 v'2 v'3 dtype m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 dtype -> m' ControlNode

resourceAccumulatorNumAccumulated :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value Int32)
resourceAccumulatorNumAccumulated' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value Int32)

resourceAccumulatorSetGlobalStep :: forall v'1 v'2 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> m' ControlNode
resourceAccumulatorSetGlobalStep' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> m' ControlNode

resourceAccumulatorTakeGradient :: forall v'1 v'2 dtype m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype) => Tensor v'1 ResourceHandle -> Tensor v'2 Int32 -> m' (Tensor Value dtype)
resourceAccumulatorTakeGradient' :: forall v'1 v'2 dtype m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int32 -> m' (Tensor Value dtype)

resourceApplyAdaMax :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> m' ControlNode
resourceApplyAdaMax' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> m' ControlNode

resourceApplyAdadelta :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> m' ControlNode
resourceApplyAdadelta' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> m' ControlNode

resourceApplyAdagrad :: forall v'1 v'2 v'3 v'4 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> m' ControlNode
resourceApplyAdagrad' :: forall v'1 v'2 v'3 v'4 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> m' ControlNode

resourceApplyAdagradDA :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 Int64 -> m' ControlNode
resourceApplyAdagradDA' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 Int64 -> m' ControlNode

resourceApplyAdagradV2 :: forall v'1 v'2 v'3 v'4 v'5 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> m' ControlNode
resourceApplyAdagradV2' :: forall v'1 v'2 v'3 v'4 v'5 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> m' ControlNode

resourceApplyAdam :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> m' ControlNode
resourceApplyAdam' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> m' ControlNode

resourceApplyAdamWithAmsgrad :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 ResourceHandle -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> Tensor v'11 t -> m' ControlNode
resourceApplyAdamWithAmsgrad' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 v'11 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 ResourceHandle -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> Tensor v'11 t -> m' ControlNode

resourceApplyAddSign :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> m' ControlNode
resourceApplyAddSign' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> m' ControlNode

resourceApplyCenteredRMSProp :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 ResourceHandle -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> m' ControlNode
resourceApplyCenteredRMSProp' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 ResourceHandle -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> m' ControlNode

resourceApplyFtrl :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> m' ControlNode
resourceApplyFtrl' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> m' ControlNode

resourceApplyFtrlV2 :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> m' ControlNode
resourceApplyFtrlV2' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> m' ControlNode

resourceApplyGradientDescent :: forall v'1 v'2 v'3 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor v'1 ResourceHandle -> Tensor v'2 t -> Tensor v'3 t -> m' ControlNode
resourceApplyGradientDescent' :: forall v'1 v'2 v'3 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 t -> Tensor v'3 t -> m' ControlNode

resourceApplyKerasMomentum :: forall v'1 v'2 v'3 v'4 v'5 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> m' ControlNode
resourceApplyKerasMomentum' :: forall v'1 v'2 v'3 v'4 v'5 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> m' ControlNode

resourceApplyMomentum :: forall v'1 v'2 v'3 v'4 v'5 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> m' ControlNode
resourceApplyMomentum' :: forall v'1 v'2 v'3 v'4 v'5 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> m' ControlNode

resourceApplyPowerSign :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> m' ControlNode
resourceApplyPowerSign' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> m' ControlNode

resourceApplyProximalAdagrad :: forall v'1 v'2 v'3 v'4 v'5 v'6 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> m' ControlNode
resourceApplyProximalAdagrad' :: forall v'1 v'2 v'3 v'4 v'5 v'6 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> m' ControlNode

resourceApplyProximalGradientDescent :: forall v'1 v'2 v'3 v'4 v'5 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor v'1 ResourceHandle -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> m' ControlNode
resourceApplyProximalGradientDescent' :: forall v'1 v'2 v'3 v'4 v'5 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> m' ControlNode

resourceApplyRMSProp :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> m' ControlNode
resourceApplyRMSProp' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 t m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> m' ControlNode

resourceConditionalAccumulator :: forall m'. MonadBuild m' => DataType -> Shape -> m' (Tensor Value ResourceHandle)
resourceConditionalAccumulator' :: forall m'. MonadBuild m' => OpParams -> DataType -> Shape -> m' (Tensor Value ResourceHandle)

resourceCountUpTo :: forall v'1 t m'. (MonadBuild m', OneOf '[Int32, Int64] t) => Int64 -> Tensor v'1 ResourceHandle -> m' (Tensor Value t)
resourceCountUpTo' :: forall v'1 t m'. (MonadBuild m', OneOf '[Int32, Int64] t) => OpParams -> Int64 -> Tensor v'1 ResourceHandle -> m' (Tensor Value t)

resourceGather :: forall v'1 v'2 dtype tindices m'. (MonadBuild m', TensorType dtype, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> m' (Tensor Value dtype)
resourceGather' :: forall v'1 v'2 dtype tindices m'. (MonadBuild m', TensorType dtype, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> m' (Tensor Value dtype)

resourceGatherNd :: forall v'1 v'2 dtype tindices m'. (MonadBuild m', TensorType dtype, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> m' (Tensor Value dtype)
resourceGatherNd' :: forall v'1 v'2 dtype tindices m'. (MonadBuild m', TensorType dtype, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> m' (Tensor Value dtype)

resourceScatterAdd :: forall v'1 v'2 v'3 dtype tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 dtype -> m' ControlNode
resourceScatterAdd' :: forall v'1 v'2 v'3 dtype tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 dtype -> m' ControlNode

resourceScatterDiv :: forall v'1 v'2 v'3 dtype tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 dtype -> m' ControlNode
resourceScatterDiv' :: forall v'1 v'2 v'3 dtype tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 dtype -> m' ControlNode

resourceScatterMax :: forall v'1 v'2 v'3 dtype tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 dtype -> m' ControlNode
resourceScatterMax' :: forall v'1 v'2 v'3 dtype tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 dtype -> m' ControlNode

resourceScatterMin :: forall v'1 v'2 v'3 dtype tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 dtype -> m' ControlNode
resourceScatterMin' :: forall v'1 v'2 v'3 dtype tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 dtype -> m' ControlNode

resourceScatterMul :: forall v'1 v'2 v'3 dtype tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 dtype -> m' ControlNode
resourceScatterMul' :: forall v'1 v'2 v'3 dtype tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 dtype -> m' ControlNode

resourceScatterNdAdd :: forall v'1 v'2 v'3 t tindices m'. (MonadBuild m', TensorType t, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 t -> m' ControlNode
resourceScatterNdAdd' :: forall v'1 v'2 v'3 t tindices m'. (MonadBuild m', TensorType t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 t -> m' ControlNode

resourceScatterNdMax :: forall v'1 v'2 v'3 t tindices m'. (MonadBuild m', TensorType t, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 t -> m' ControlNode
resourceScatterNdMax' :: forall v'1 v'2 v'3 t tindices m'. (MonadBuild m', TensorType t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 t -> m' ControlNode

resourceScatterNdMin :: forall v'1 v'2 v'3 t tindices m'. (MonadBuild m', TensorType t, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 t -> m' ControlNode
resourceScatterNdMin' :: forall v'1 v'2 v'3 t tindices m'. (MonadBuild m', TensorType t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 t -> m' ControlNode

resourceScatterNdSub :: forall v'1 v'2 v'3 t tindices m'. (MonadBuild m', TensorType t, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 t -> m' ControlNode
resourceScatterNdSub' :: forall v'1 v'2 v'3 t tindices m'. (MonadBuild m', TensorType t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 t -> m' ControlNode

resourceScatterNdUpdate :: forall v'1 v'2 v'3 t tindices m'. (MonadBuild m', TensorType t, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 t -> m' ControlNode
resourceScatterNdUpdate' :: forall v'1 v'2 v'3 t tindices m'. (MonadBuild m', TensorType t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 t -> m' ControlNode

resourceScatterSub :: forall v'1 v'2 v'3 dtype tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 dtype -> m' ControlNode
resourceScatterSub' :: forall v'1 v'2 v'3 dtype tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 dtype -> m' ControlNode

resourceScatterUpdate :: forall v'1 v'2 v'3 dtype tindices m'. (MonadBuild m', TensorType dtype, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 dtype -> m' ControlNode
resourceScatterUpdate' :: forall v'1 v'2 v'3 dtype tindices m'. (MonadBuild m', TensorType dtype, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 tindices -> Tensor v'3 dtype -> m' ControlNode

resourceSparseApplyAdadelta :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 tindices -> m' ControlNode
resourceSparseApplyAdadelta' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 tindices -> m' ControlNode

resourceSparseApplyAdagrad :: forall v'1 v'2 v'3 v'4 v'5 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 tindices -> m' ControlNode
resourceSparseApplyAdagrad' :: forall v'1 v'2 v'3 v'4 v'5 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 tindices -> m' ControlNode

resourceSparseApplyAdagradDA :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 tindices -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 Int64 -> m' ControlNode
resourceSparseApplyAdagradDA' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 tindices -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 Int64 -> m' ControlNode

resourceSparseApplyAdagradV2 :: forall v'1 v'2 v'3 v'4 v'5 v'6 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 tindices -> m' ControlNode
resourceSparseApplyAdagradV2' :: forall v'1 v'2 v'3 v'4 v'5 v'6 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 tindices -> m' ControlNode

resourceSparseApplyCenteredRMSProp :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 ResourceHandle -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 tindices -> m' ControlNode
resourceSparseApplyCenteredRMSProp' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 ResourceHandle -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 tindices -> m' ControlNode

resourceSparseApplyFtrl :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 tindices -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> m' ControlNode
resourceSparseApplyFtrl' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 tindices -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> m' ControlNode

resourceSparseApplyFtrlV2 :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 tindices -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> m' ControlNode
resourceSparseApplyFtrlV2' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 v'10 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 tindices -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> m' ControlNode

resourceSparseApplyKerasMomentum :: forall v'1 v'2 v'3 v'4 v'5 v'6 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 tindices -> Tensor v'6 t -> m' ControlNode
resourceSparseApplyKerasMomentum' :: forall v'1 v'2 v'3 v'4 v'5 v'6 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 tindices -> Tensor v'6 t -> m' ControlNode

resourceSparseApplyMomentum :: forall v'1 v'2 v'3 v'4 v'5 v'6 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 tindices -> Tensor v'6 t -> m' ControlNode
resourceSparseApplyMomentum' :: forall v'1 v'2 v'3 v'4 v'5 v'6 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 tindices -> Tensor v'6 t -> m' ControlNode

resourceSparseApplyProximalAdagrad :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 tindices -> m' ControlNode
resourceSparseApplyProximalAdagrad' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 tindices -> m' ControlNode

resourceSparseApplyProximalGradientDescent :: forall v'1 v'2 v'3 v'4 v'5 v'6 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 tindices -> m' ControlNode
resourceSparseApplyProximalGradientDescent' :: forall v'1 v'2 v'3 v'4 v'5 v'6 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 tindices -> m' ControlNode

resourceSparseApplyRMSProp :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 tindices -> m' ControlNode
resourceSparseApplyRMSProp' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 v'8 v'9 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> Tensor v'3 ResourceHandle -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 tindices -> m' ControlNode

resourceStridedSliceAssign :: forall v'1 v'2 v'3 v'4 v'5 t index m'. (MonadBuild m', TensorType t, OneOf '[Int32, Int64] index) => Tensor v'1 ResourceHandle -> Tensor v'2 index -> Tensor v'3 index -> Tensor v'4 index -> Tensor v'5 t -> m' ControlNode
resourceStridedSliceAssign' :: forall v'1 v'2 v'3 v'4 v'5 t index m'. (MonadBuild m', TensorType t, OneOf '[Int32, Int64] index) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 index -> Tensor v'3 index -> Tensor v'4 index -> Tensor v'5 t -> m' ControlNode

restore :: forall v'1 v'2 dt m'. (MonadBuild m', TensorType dt) => Tensor v'1 ByteString -> Tensor v'2 ByteString -> m' (Tensor Value dt)
restore' :: forall v'1 v'2 dt m'. (MonadBuild m', TensorType dt) => OpParams -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> m' (Tensor Value dt)

restoreSlice :: forall v'1 v'2 v'3 dt m'. (MonadBuild m', TensorType dt) => Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> m' (Tensor Value dt)
restoreSlice' :: forall v'1 v'2 v'3 dt m'. (MonadBuild m', TensorType dt) => OpParams -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> m' (Tensor Value dt)

restoreV2 :: forall v'1 v'2 v'3 dtypes m'. (MonadBuild m', TensorTypes dtypes) => Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> m' (TensorList Value dtypes)
restoreV2' :: forall v'1 v'2 v'3 dtypes m'. (MonadBuild m', TensorTypes dtypes) => OpParams -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> m' (TensorList Value dtypes)

retrieveTPUEmbeddingADAMParameters :: forall m'. MonadBuild m' => Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float)
retrieveTPUEmbeddingADAMParameters' :: forall m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float)

retrieveTPUEmbeddingADAMParametersGradAccumDebug :: forall m'. MonadBuild m' => Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float, Tensor Value Float)
retrieveTPUEmbeddingADAMParametersGradAccumDebug' :: forall m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float, Tensor Value Float)

retrieveTPUEmbeddingAdadeltaParameters :: forall m'. MonadBuild m' => Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float)
retrieveTPUEmbeddingAdadeltaParameters' :: forall m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float)

retrieveTPUEmbeddingAdadeltaParametersGradAccumDebug :: forall m'. MonadBuild m' => Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float, Tensor Value Float)
retrieveTPUEmbeddingAdadeltaParametersGradAccumDebug' :: forall m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float, Tensor Value Float)

retrieveTPUEmbeddingAdagradParameters :: forall m'. MonadBuild m' => Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float)
retrieveTPUEmbeddingAdagradParameters' :: forall m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float)

retrieveTPUEmbeddingAdagradParametersGradAccumDebug :: forall m'. MonadBuild m' => Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float)
retrieveTPUEmbeddingAdagradParametersGradAccumDebug' :: forall m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float)

retrieveTPUEmbeddingCenteredRMSPropParameters :: forall m'. MonadBuild m' => Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float, Tensor Value Float)
retrieveTPUEmbeddingCenteredRMSPropParameters' :: forall m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float, Tensor Value Float)

retrieveTPUEmbeddingFTRLParameters :: forall m'. MonadBuild m' => Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float)
retrieveTPUEmbeddingFTRLParameters' :: forall m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float)

retrieveTPUEmbeddingFTRLParametersGradAccumDebug :: forall m'. MonadBuild m' => Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float, Tensor Value Float)
retrieveTPUEmbeddingFTRLParametersGradAccumDebug' :: forall m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float, Tensor Value Float)

retrieveTPUEmbeddingMDLAdagradLightParameters :: forall m'. MonadBuild m' => Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float, Tensor Value Float)
retrieveTPUEmbeddingMDLAdagradLightParameters' :: forall m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float, Tensor Value Float)

retrieveTPUEmbeddingMomentumParameters :: forall m'. MonadBuild m' => Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float)
retrieveTPUEmbeddingMomentumParameters' :: forall m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float)

retrieveTPUEmbeddingMomentumParametersGradAccumDebug :: forall m'. MonadBuild m' => Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float)
retrieveTPUEmbeddingMomentumParametersGradAccumDebug' :: forall m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float)

retrieveTPUEmbeddingProximalAdagradParameters :: forall m'. MonadBuild m' => Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float)
retrieveTPUEmbeddingProximalAdagradParameters' :: forall m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float)

retrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug :: forall m'. MonadBuild m' => Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float)
retrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug' :: forall m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float)

retrieveTPUEmbeddingProximalYogiParameters :: forall m'. MonadBuild m' => Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float)
retrieveTPUEmbeddingProximalYogiParameters' :: forall m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float)

retrieveTPUEmbeddingProximalYogiParametersGradAccumDebug :: forall m'. MonadBuild m' => Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float, Tensor Value Float)
retrieveTPUEmbeddingProximalYogiParametersGradAccumDebug' :: forall m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float, Tensor Value Float)

retrieveTPUEmbeddingRMSPropParameters :: forall m'. MonadBuild m' => Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float)
retrieveTPUEmbeddingRMSPropParameters' :: forall m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float)

retrieveTPUEmbeddingRMSPropParametersGradAccumDebug :: forall m'. MonadBuild m' => Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float, Tensor Value Float)
retrieveTPUEmbeddingRMSPropParametersGradAccumDebug' :: forall m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float, Tensor Value Float, Tensor Value Float)

retrieveTPUEmbeddingStochasticGradientDescentParameters :: forall m'. MonadBuild m' => Int64 -> Int64 -> m' (Tensor Value Float)
retrieveTPUEmbeddingStochasticGradientDescentParameters' :: forall m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> m' (Tensor Value Float)

retrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug :: forall m'. MonadBuild m' => Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float)
retrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug' :: forall m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> m' (Tensor Value Float, Tensor Value Float)

reverse :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Bool, ByteString, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 Bool -> Tensor Build t
reverse' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Bool, ByteString, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Bool -> Tensor Build t

reverseSequence :: forall v'1 v'2 t tlen. (TensorType t, OneOf '[Int32, Int64] tlen) => Int64 -> Tensor v'1 t -> Tensor v'2 tlen -> Tensor Build t
reverseSequence' :: forall v'1 v'2 t tlen. (TensorType t, OneOf '[Int32, Int64] tlen) => OpParams -> Int64 -> Tensor v'1 t -> Tensor v'2 tlen -> Tensor Build t

reverseV2 :: forall v'1 v'2 tidx t. (OneOf '[Int32, Int64] tidx, OneOf '[Complex Double, Complex Float, Bool, ByteString, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t) => Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t
reverseV2' :: forall v'1 v'2 tidx t. (OneOf '[Int32, Int64] tidx, OneOf '[Complex Double, Complex Float, Bool, ByteString, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t) => OpParams -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t

rightShift :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
rightShift' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

rint :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
rint' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

rngSkip :: forall v'1 v'2 v'3 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> m' ControlNode
rngSkip' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> m' ControlNode

roll :: forall v'1 v'2 v'3 t tshift taxis. (TensorType t, OneOf '[Int32, Int64] tshift, OneOf '[Int32, Int64] taxis) => Tensor v'1 t -> Tensor v'2 tshift -> Tensor v'3 taxis -> Tensor Build t
roll' :: forall v'1 v'2 v'3 t tshift taxis. (TensorType t, OneOf '[Int32, Int64] tshift, OneOf '[Int32, Int64] taxis) => OpParams -> Tensor v'1 t -> Tensor v'2 tshift -> Tensor v'3 taxis -> Tensor Build t

round :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
round' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

rpc :: forall v'1 v'2 v'3 m'. MonadBuild m' => Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> m' (Tensor Value ByteString)
rpc' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> m' (Tensor Value ByteString)

rsqrt :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
rsqrt' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

rsqrtGrad :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
rsqrtGrad' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

sampleDistortedBoundingBox :: forall v'1 v'2 t m'. (MonadBuild m', OneOf '[Int16, Int32, Int64, Int8, Word8] t) => Tensor v'1 t -> Tensor v'2 Float -> m' (Tensor Value t, Tensor Value t, Tensor Value Float)
sampleDistortedBoundingBox' :: forall v'1 v'2 t m'. (MonadBuild m', OneOf '[Int16, Int32, Int64, Int8, Word8] t) => OpParams -> Tensor v'1 t -> Tensor v'2 Float -> m' (Tensor Value t, Tensor Value t, Tensor Value Float)

sampleDistortedBoundingBoxV2 :: forall v'1 v'2 v'3 t m'. (MonadBuild m', OneOf '[Int16, Int32, Int64, Int8, Word8] t) => Tensor v'1 t -> Tensor v'2 Float -> Tensor v'3 Float -> m' (Tensor Value t, Tensor Value t, Tensor Value Float)
sampleDistortedBoundingBoxV2' :: forall v'1 v'2 v'3 t m'. (MonadBuild m', OneOf '[Int16, Int32, Int64, Int8, Word8] t) => OpParams -> Tensor v'1 t -> Tensor v'2 Float -> Tensor v'3 Float -> m' (Tensor Value t, Tensor Value t, Tensor Value Float)

samplingDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Float -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor Build Variant
samplingDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Float -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor Build Variant

save :: forall v'1 v'2 v'3 t m'. (MonadBuild m', TensorTypes t) => Tensor v'1 ByteString -> Tensor v'2 ByteString -> TensorList v'3 t -> m' ControlNode
save' :: forall v'1 v'2 v'3 t m'. (MonadBuild m', TensorTypes t) => OpParams -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> TensorList v'3 t -> m' ControlNode

saveSlices :: forall v'1 v'2 v'3 v'4 t m'. (MonadBuild m', TensorTypes t) => Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> TensorList v'4 t -> m' ControlNode
saveSlices' :: forall v'1 v'2 v'3 v'4 t m'. (MonadBuild m', TensorTypes t) => OpParams -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> TensorList v'4 t -> m' ControlNode

saveV2 :: forall v'1 v'2 v'3 v'4 dtypes m'. (MonadBuild m', TensorTypes dtypes) => Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> TensorList v'4 dtypes -> m' ControlNode
saveV2' :: forall v'1 v'2 v'3 v'4 dtypes m'. (MonadBuild m', TensorTypes dtypes) => OpParams -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> TensorList v'4 dtypes -> m' ControlNode

scalarSummary :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 ByteString -> Tensor v'2 t -> Tensor Build ByteString
scalarSummary' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 ByteString -> Tensor v'2 t -> Tensor Build ByteString

scaleAndTranslate :: forall v'1 v'2 v'3 v'4 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor Build Float
scaleAndTranslate' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor Build Float

scaleAndTranslateGrad :: forall v'1 v'2 v'3 v'4 t. OneOf '[Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor Build t
scaleAndTranslateGrad' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Float -> Tensor v'4 Float -> Tensor Build t

scatterAdd :: forall v'2 v'3 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)
scatterAdd' :: forall v'2 v'3 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)

scatterDiv :: forall v'2 v'3 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)
scatterDiv' :: forall v'2 v'3 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)

scatterMax :: forall v'2 v'3 t tindices m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)
scatterMax' :: forall v'2 v'3 t tindices m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)

scatterMin :: forall v'2 v'3 t tindices m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)
scatterMin' :: forall v'2 v'3 t tindices m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)

scatterMul :: forall v'2 v'3 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)
scatterMul' :: forall v'2 v'3 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)

scatterNd :: forall v'1 v'2 v'3 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => Tensor v'1 tindices -> Tensor v'2 t -> Tensor v'3 tindices -> Tensor Build t
scatterNd' :: forall v'1 v'2 v'3 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 tindices -> Tensor v'2 t -> Tensor v'3 tindices -> Tensor Build t

scatterNdAdd :: forall v'2 v'3 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)
scatterNdAdd' :: forall v'2 v'3 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)

scatterNdMax :: forall v'2 v'3 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)
scatterNdMax' :: forall v'2 v'3 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)

scatterNdMin :: forall v'2 v'3 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)
scatterNdMin' :: forall v'2 v'3 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)

scatterNdNonAliasingAdd :: forall v'1 v'2 v'3 t tindices. (OneOf '[Complex Double, Complex Float, Bool, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 t -> Tensor Build t
scatterNdNonAliasingAdd' :: forall v'1 v'2 v'3 t tindices. (OneOf '[Complex Double, Complex Float, Bool, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 t -> Tensor Build t

scatterNdSub :: forall v'2 v'3 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)
scatterNdSub' :: forall v'2 v'3 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)

scatterNdUpdate :: forall v'2 v'3 t tindices m'. (MonadBuild m', TensorType t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)
scatterNdUpdate' :: forall v'2 v'3 t tindices m'. (MonadBuild m', TensorType t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)

scatterSub :: forall v'2 v'3 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)
scatterSub' :: forall v'2 v'3 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)

scatterUpdate :: forall v'2 v'3 t tindices m'. (MonadBuild m', TensorType t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)
scatterUpdate' :: forall v'2 v'3 t tindices m'. (MonadBuild m', TensorType t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor v'2 tindices -> Tensor v'3 t -> m' (Tensor Ref t)

sdcaFprint :: Tensor v'1 ByteString -> Tensor Build Int64
sdcaFprint' :: OpParams -> Tensor v'1 ByteString -> Tensor Build Int64

sdcaOptimizer :: Float -> Float -> ByteString -> Int64 -> Int64 -> [Tensor v'1 Int64] -> [Tensor v'2 Int64] -> [Tensor v'3 Float] -> [Tensor v'4 Float] -> Tensor v'5 Float -> Tensor v'6 Float -> [Tensor v'7 Int64] -> [Tensor v'8 Float] -> [Tensor v'9 Float] -> Tensor v'10 Float -> (Tensor Build Float, [Tensor Build Float], [Tensor Build Float])
sdcaOptimizer' :: OpParams -> Float -> Float -> ByteString -> Int64 -> Int64 -> [Tensor v'1 Int64] -> [Tensor v'2 Int64] -> [Tensor v'3 Float] -> [Tensor v'4 Float] -> Tensor v'5 Float -> Tensor v'6 Float -> [Tensor v'7 Int64] -> [Tensor v'8 Float] -> [Tensor v'9 Float] -> Tensor v'10 Float -> (Tensor Build Float, [Tensor Build Float], [Tensor Build Float])

sdcaOptimizerV2 :: Float -> Float -> ByteString -> Int64 -> Int64 -> [Tensor v'1 Int64] -> [Tensor v'2 Int64] -> [Tensor v'3 Float] -> [Tensor v'4 Float] -> Tensor v'5 Float -> Tensor v'6 Float -> [Tensor v'7 Int64] -> [Tensor v'8 Float] -> [Tensor v'9 Float] -> Tensor v'10 Float -> (Tensor Build Float, [Tensor Build Float], [Tensor Build Float])
sdcaOptimizerV2' :: OpParams -> Float -> Float -> ByteString -> Int64 -> Int64 -> [Tensor v'1 Int64] -> [Tensor v'2 Int64] -> [Tensor v'3 Float] -> [Tensor v'4 Float] -> Tensor v'5 Float -> Tensor v'6 Float -> [Tensor v'7 Int64] -> [Tensor v'8 Float] -> [Tensor v'9 Float] -> Tensor v'10 Float -> (Tensor Build Float, [Tensor Build Float], [Tensor Build Float])

sdcaShrinkL1 :: forall m'. MonadBuild m' => Float -> Float -> [Tensor Ref Float] -> m' ControlNode
sdcaShrinkL1' :: forall m'. MonadBuild m' => OpParams -> Float -> Float -> [Tensor Ref Float] -> m' ControlNode

segmentMax :: forall v'1 v'2 t tindices. (OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor v'1 t -> Tensor v'2 tindices -> Tensor Build t
segmentMax' :: forall v'1 v'2 t tindices. (OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 t -> Tensor v'2 tindices -> Tensor Build t

segmentMean :: forall v'1 v'2 t tindices. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor v'1 t -> Tensor v'2 tindices -> Tensor Build t
segmentMean' :: forall v'1 v'2 t tindices. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 t -> Tensor v'2 tindices -> Tensor Build t

segmentMin :: forall v'1 v'2 t tindices. (OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor v'1 t -> Tensor v'2 tindices -> Tensor Build t
segmentMin' :: forall v'1 v'2 t tindices. (OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 t -> Tensor v'2 tindices -> Tensor Build t

segmentProd :: forall v'1 v'2 t tindices. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor v'1 t -> Tensor v'2 tindices -> Tensor Build t
segmentProd' :: forall v'1 v'2 t tindices. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 t -> Tensor v'2 tindices -> Tensor Build t

segmentSum :: forall v'1 v'2 t tindices. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor v'1 t -> Tensor v'2 tindices -> Tensor Build t
segmentSum' :: forall v'1 v'2 t tindices. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 t -> Tensor v'2 tindices -> Tensor Build t

select :: forall v'1 v'2 v'3 t. TensorType t => Tensor v'1 Bool -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t
select' :: forall v'1 v'2 v'3 t. TensorType t => OpParams -> Tensor v'1 Bool -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t

selectV2 :: forall v'1 v'2 v'3 t. TensorType t => Tensor v'1 Bool -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t
selectV2' :: forall v'1 v'2 v'3 t. TensorType t => OpParams -> Tensor v'1 Bool -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build t

selfAdjointEig :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
selfAdjointEig' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

selfAdjointEigV2 :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> (Tensor Build t, Tensor Build t)
selfAdjointEigV2' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> (Tensor Build t, Tensor Build t)

selu :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
selu' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

seluGrad :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
seluGrad' :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

send :: forall v'1 t m'. (MonadBuild m', TensorType t) => ByteString -> ByteString -> Int64 -> ByteString -> Tensor v'1 t -> m' ControlNode
send' :: forall v'1 t m'. (MonadBuild m', TensorType t) => OpParams -> ByteString -> ByteString -> Int64 -> ByteString -> Tensor v'1 t -> m' ControlNode

sendTPUEmbeddingGradients :: forall v'1 v'2 m'. MonadBuild m' => ByteString -> [Tensor v'1 Float] -> [Tensor v'2 Float] -> m' ControlNode
sendTPUEmbeddingGradients' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> ByteString -> [Tensor v'1 Float] -> [Tensor v'2 Float] -> m' ControlNode

serializeIterator :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value Variant)
serializeIterator' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value Variant)

serializeManySparse :: forall v'1 v'2 v'3 t out_type. (TensorType t, OneOf '[ByteString, Variant] out_type) => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor Build out_type
serializeManySparse' :: forall v'1 v'2 v'3 t out_type. (TensorType t, OneOf '[ByteString, Variant] out_type) => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor Build out_type

serializeSparse :: forall v'1 v'2 v'3 t out_type. (TensorType t, OneOf '[ByteString, Variant] out_type) => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor Build out_type
serializeSparse' :: forall v'1 v'2 v'3 t out_type. (TensorType t, OneOf '[ByteString, Variant] out_type) => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor Build out_type

serializeTensor :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build ByteString
serializeTensor' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build ByteString

setSize :: forall v'1 v'2 v'3 t. OneOf '[ByteString, Int16, Int32, Int64, Int8, Word16, Word8] t => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor Build Int32
setSize' :: forall v'1 v'2 v'3 t. OneOf '[ByteString, Int16, Int32, Int64, Int8, Word16, Word8] t => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor Build Int32

setStatsAggregatorDataset :: forall v'1 v'2 v'3 v'4 m'. MonadBuild m' => [DataType] -> Tensor v'1 Variant -> Tensor v'2 ResourceHandle -> Tensor v'3 ByteString -> Tensor v'4 ByteString -> m' (Tensor Value Variant)
setStatsAggregatorDataset' :: forall v'1 v'2 v'3 v'4 m'. MonadBuild m' => OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 ResourceHandle -> Tensor v'3 ByteString -> Tensor v'4 ByteString -> m' (Tensor Value Variant)

shape :: forall v'1 t out_type. (TensorType t, OneOf '[Int32, Int64] out_type) => Tensor v'1 t -> Tensor Build out_type
shape' :: forall v'1 t out_type. (TensorType t, OneOf '[Int32, Int64] out_type) => OpParams -> Tensor v'1 t -> Tensor Build out_type

shapeN :: forall v'1 t out_type. (TensorType t, OneOf '[Int32, Int64] out_type) => [Tensor v'1 t] -> [Tensor Build out_type]
shapeN' :: forall v'1 t out_type. (TensorType t, OneOf '[Int32, Int64] out_type) => OpParams -> [Tensor v'1 t] -> [Tensor Build out_type]

shardDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor Build Variant
shardDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor Build Variant

shardedFilename :: Tensor v'1 ByteString -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor Build ByteString
shardedFilename' :: OpParams -> Tensor v'1 ByteString -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor Build ByteString

shardedFilespec :: Tensor v'1 ByteString -> Tensor v'2 Int32 -> Tensor Build ByteString
shardedFilespec' :: OpParams -> Tensor v'1 ByteString -> Tensor v'2 Int32 -> Tensor Build ByteString

shuffleAndRepeatDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 Int64 -> Tensor Build Variant
shuffleAndRepeatDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 Int64 -> Tensor Build Variant

shuffleAndRepeatDatasetV2 :: forall v'1 v'2 v'3 v'4 v'5 v'6 m'. MonadBuild m' => [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 Int64 -> Tensor v'6 ResourceHandle -> m' (Tensor Value Variant)
shuffleAndRepeatDatasetV2' :: forall v'1 v'2 v'3 v'4 v'5 v'6 m'. MonadBuild m' => OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 Int64 -> Tensor v'6 ResourceHandle -> m' (Tensor Value Variant)

shuffleDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor Build Variant
shuffleDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor Build Variant

shuffleDatasetV2 :: forall v'1 v'2 v'3 m'. MonadBuild m' => [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 ResourceHandle -> m' (Tensor Value Variant)
shuffleDatasetV2' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 ResourceHandle -> m' (Tensor Value Variant)

shuffleDatasetV3 :: forall v'1 v'2 v'3 v'4 v'5 m'. MonadBuild m' => [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 ResourceHandle -> m' (Tensor Value Variant)
shuffleDatasetV3' :: forall v'1 v'2 v'3 v'4 v'5 m'. MonadBuild m' => OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 ResourceHandle -> m' (Tensor Value Variant)

shutdownDistributedTPU :: forall m'. MonadBuild m' => m' ControlNode
shutdownDistributedTPU' :: forall m'. MonadBuild m' => OpParams -> m' ControlNode

sigmoid :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
sigmoid' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

sigmoidGrad :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
sigmoidGrad' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

sign :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int32, Int64, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
sign' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int32, Int64, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

sin :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
sin' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

sinh :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
sinh' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

size :: forall v'1 t out_type. (TensorType t, OneOf '[Int32, Int64] out_type) => Tensor v'1 t -> Tensor Build out_type
size' :: forall v'1 t out_type. (TensorType t, OneOf '[Int32, Int64] out_type) => OpParams -> Tensor v'1 t -> Tensor Build out_type

skipDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant
skipDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant

skipgram :: forall m'. MonadBuild m' => Int64 -> ByteString -> m' (Tensor Value ByteString, Tensor Value Int32, Tensor Value Int64, Tensor Value Int32, Tensor Value Int64, Tensor Value Int32, Tensor Value Int32)
skipgram' :: forall m'. MonadBuild m' => OpParams -> Int64 -> ByteString -> m' (Tensor Value ByteString, Tensor Value Int32, Tensor Value Int64, Tensor Value Int32, Tensor Value Int64, Tensor Value Int32, Tensor Value Int32)

sleepDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant
sleepDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant

slice :: forall v'1 v'2 v'3 t index. (TensorType t, OneOf '[Int32, Int64] index) => Tensor v'1 t -> Tensor v'2 index -> Tensor v'3 index -> Tensor Build t
slice' :: forall v'1 v'2 v'3 t index. (TensorType t, OneOf '[Int32, Int64] index) => OpParams -> Tensor v'1 t -> Tensor v'2 index -> Tensor v'3 index -> Tensor Build t

slidingWindowDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor Build Variant
slidingWindowDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor Build Variant

snapshot :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build t
snapshot' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build t

snapshotDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor Build Variant
snapshotDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 ByteString -> Tensor Build Variant

sobolSample :: forall v'1 v'2 v'3 dtype. OneOf '[Double, Float] dtype => Tensor v'1 Int32 -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor Build dtype
sobolSample' :: forall v'1 v'2 v'3 dtype. OneOf '[Double, Float] dtype => OpParams -> Tensor v'1 Int32 -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor Build dtype

softmax :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
softmax' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

softmaxCrossEntropyWithLogits :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> (Tensor Build t, Tensor Build t)
softmaxCrossEntropyWithLogits' :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> (Tensor Build t, Tensor Build t)

softplus :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
softplus' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

softplusGrad :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
softplusGrad' :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

softsign :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
softsign' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

softsignGrad :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
softsignGrad' :: forall v'1 v'2 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

spaceToBatch :: forall v'1 v'2 t tpaddings. (TensorType t, OneOf '[Int32, Int64] tpaddings) => Int64 -> Tensor v'1 t -> Tensor v'2 tpaddings -> Tensor Build t
spaceToBatch' :: forall v'1 v'2 t tpaddings. (TensorType t, OneOf '[Int32, Int64] tpaddings) => OpParams -> Int64 -> Tensor v'1 t -> Tensor v'2 tpaddings -> Tensor Build t

spaceToBatchND :: forall v'1 v'2 v'3 t tblock_shape tpaddings. (TensorType t, OneOf '[Int32, Int64] tblock_shape, OneOf '[Int32, Int64] tpaddings) => Tensor v'1 t -> Tensor v'2 tblock_shape -> Tensor v'3 tpaddings -> Tensor Build t
spaceToBatchND' :: forall v'1 v'2 v'3 t tblock_shape tpaddings. (TensorType t, OneOf '[Int32, Int64] tblock_shape, OneOf '[Int32, Int64] tpaddings) => OpParams -> Tensor v'1 t -> Tensor v'2 tblock_shape -> Tensor v'3 tpaddings -> Tensor Build t

spaceToDepth :: forall v'1 t. TensorType t => Int64 -> Tensor v'1 t -> Tensor Build t
spaceToDepth' :: forall v'1 t. TensorType t => OpParams -> Int64 -> Tensor v'1 t -> Tensor Build t

sparseAccumulatorApplyGradient :: forall v'2 v'3 v'4 v'5 dtype m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype) => Bool -> Tensor Ref ByteString -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 dtype -> Tensor v'5 Int64 -> m' ControlNode
sparseAccumulatorApplyGradient' :: forall v'2 v'3 v'4 v'5 dtype m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype) => OpParams -> Bool -> Tensor Ref ByteString -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 dtype -> Tensor v'5 Int64 -> m' ControlNode

sparseAccumulatorTakeGradient :: forall v'2 dtype m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype) => Tensor Ref ByteString -> Tensor v'2 Int32 -> m' (Tensor Value Int64, Tensor Value dtype, Tensor Value Int64)
sparseAccumulatorTakeGradient' :: forall v'2 dtype m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] dtype) => OpParams -> Tensor Ref ByteString -> Tensor v'2 Int32 -> m' (Tensor Value Int64, Tensor Value dtype, Tensor Value Int64)

sparseAdd :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 t treal. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] treal) => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 t -> Tensor v'6 Int64 -> Tensor v'7 treal -> (Tensor Build Int64, Tensor Build t, Tensor Build Int64)
sparseAdd' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 t treal. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] treal) => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 t -> Tensor v'6 Int64 -> Tensor v'7 treal -> (Tensor Build Int64, Tensor Build t, Tensor Build Int64)

sparseAddGrad :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> (Tensor Build t, Tensor Build t)
sparseAddGrad' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> (Tensor Build t, Tensor Build t)

sparseApplyAdadelta :: forall v'4 v'5 v'6 v'7 v'8 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 tindices -> m' (Tensor Ref t)
sparseApplyAdadelta' :: forall v'4 v'5 v'6 v'7 v'8 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 tindices -> m' (Tensor Ref t)

sparseApplyAdagrad :: forall v'3 v'4 v'5 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor Ref t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 tindices -> m' (Tensor Ref t)
sparseApplyAdagrad' :: forall v'3 v'4 v'5 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 tindices -> m' (Tensor Ref t)

sparseApplyAdagradDA :: forall v'4 v'5 v'6 v'7 v'8 v'9 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 tindices -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 Int64 -> m' (Tensor Ref t)
sparseApplyAdagradDA' :: forall v'4 v'5 v'6 v'7 v'8 v'9 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 tindices -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 Int64 -> m' (Tensor Ref t)

sparseApplyAdagradV2 :: forall v'3 v'4 v'5 v'6 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor Ref t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 tindices -> m' (Tensor Ref t)
sparseApplyAdagradV2' :: forall v'3 v'4 v'5 v'6 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 tindices -> m' (Tensor Ref t)

sparseApplyCenteredRMSProp :: forall v'5 v'6 v'7 v'8 v'9 v'10 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 tindices -> m' (Tensor Ref t)
sparseApplyCenteredRMSProp' :: forall v'5 v'6 v'7 v'8 v'9 v'10 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 tindices -> m' (Tensor Ref t)

sparseApplyFtrl :: forall v'4 v'5 v'6 v'7 v'8 v'9 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 tindices -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> m' (Tensor Ref t)
sparseApplyFtrl' :: forall v'4 v'5 v'6 v'7 v'8 v'9 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 tindices -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> m' (Tensor Ref t)

sparseApplyFtrlV2 :: forall v'4 v'5 v'6 v'7 v'8 v'9 v'10 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 tindices -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> m' (Tensor Ref t)
sparseApplyFtrlV2' :: forall v'4 v'5 v'6 v'7 v'8 v'9 v'10 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 tindices -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 t -> Tensor v'10 t -> m' (Tensor Ref t)

sparseApplyMomentum :: forall v'3 v'4 v'5 v'6 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor Ref t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 tindices -> Tensor v'6 t -> m' (Tensor Ref t)
sparseApplyMomentum' :: forall v'3 v'4 v'5 v'6 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 tindices -> Tensor v'6 t -> m' (Tensor Ref t)

sparseApplyProximalAdagrad :: forall v'3 v'4 v'5 v'6 v'7 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor Ref t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 tindices -> m' (Tensor Ref t)
sparseApplyProximalAdagrad' :: forall v'3 v'4 v'5 v'6 v'7 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 tindices -> m' (Tensor Ref t)

sparseApplyProximalGradientDescent :: forall v'2 v'3 v'4 v'5 v'6 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 tindices -> m' (Tensor Ref t)
sparseApplyProximalGradientDescent' :: forall v'2 v'3 v'4 v'5 v'6 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 tindices -> m' (Tensor Ref t)

sparseApplyRMSProp :: forall v'4 v'5 v'6 v'7 v'8 v'9 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 tindices -> m' (Tensor Ref t)
sparseApplyRMSProp' :: forall v'4 v'5 v'6 v'7 v'8 v'9 t tindices m'. (MonadBuild m', OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor Ref t -> Tensor Ref t -> Tensor Ref t -> Tensor v'4 t -> Tensor v'5 t -> Tensor v'6 t -> Tensor v'7 t -> Tensor v'8 t -> Tensor v'9 tindices -> m' (Tensor Ref t)

sparseBincount :: forall v'1 v'2 v'3 v'4 v'5 tidx t. (OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64, Double, Float] t) => Tensor v'1 Int64 -> Tensor v'2 tidx -> Tensor v'3 Int64 -> Tensor v'4 tidx -> Tensor v'5 t -> Tensor Build t
sparseBincount' :: forall v'1 v'2 v'3 v'4 v'5 tidx t. (OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64, Double, Float] t) => OpParams -> Tensor v'1 Int64 -> Tensor v'2 tidx -> Tensor v'3 Int64 -> Tensor v'4 tidx -> Tensor v'5 t -> Tensor Build t

sparseConcat :: forall v'1 v'2 v'3 t. TensorType t => Int64 -> [Tensor v'1 Int64] -> [Tensor v'2 t] -> [Tensor v'3 Int64] -> (Tensor Build Int64, Tensor Build t, Tensor Build Int64)
sparseConcat' :: forall v'1 v'2 v'3 t. TensorType t => OpParams -> Int64 -> [Tensor v'1 Int64] -> [Tensor v'2 t] -> [Tensor v'3 Int64] -> (Tensor Build Int64, Tensor Build t, Tensor Build Int64)

sparseConditionalAccumulator :: forall m'. MonadBuild m' => DataType -> Shape -> m' (Tensor Ref ByteString)
sparseConditionalAccumulator' :: forall m'. MonadBuild m' => OpParams -> DataType -> Shape -> m' (Tensor Ref ByteString)

sparseCountSparseOutput :: forall v'1 v'2 v'3 v'4 t output_type. (OneOf '[Int32, Int64] t, OneOf '[Int32, Int64, Double, Float] output_type) => Bool -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 output_type -> (Tensor Build Int64, Tensor Build output_type, Tensor Build Int64)
sparseCountSparseOutput' :: forall v'1 v'2 v'3 v'4 t output_type. (OneOf '[Int32, Int64] t, OneOf '[Int32, Int64, Double, Float] output_type) => OpParams -> Bool -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 output_type -> (Tensor Build Int64, Tensor Build output_type, Tensor Build Int64)

sparseCross :: forall v'1 v'2 v'3 v'4 sparse_types dense_types out_type. (OneOfs '[ByteString, Int64] sparse_types, OneOfs '[ByteString, Int64] dense_types, OneOf '[ByteString, Int64] out_type) => Int64 -> Bool -> DataType -> Int64 -> [Tensor v'1 Int64] -> TensorList v'2 sparse_types -> [Tensor v'3 Int64] -> TensorList v'4 dense_types -> (Tensor Build Int64, Tensor Build out_type, Tensor Build Int64)
sparseCross' :: forall v'1 v'2 v'3 v'4 sparse_types dense_types out_type. (OneOfs '[ByteString, Int64] sparse_types, OneOfs '[ByteString, Int64] dense_types, OneOf '[ByteString, Int64] out_type) => OpParams -> Int64 -> Bool -> DataType -> Int64 -> [Tensor v'1 Int64] -> TensorList v'2 sparse_types -> [Tensor v'3 Int64] -> TensorList v'4 dense_types -> (Tensor Build Int64, Tensor Build out_type, Tensor Build Int64)

sparseCrossHashed :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 sparse_types dense_types. (OneOfs '[ByteString, Int64] sparse_types, OneOfs '[ByteString, Int64] dense_types) => [Tensor v'1 Int64] -> TensorList v'2 sparse_types -> [Tensor v'3 Int64] -> TensorList v'4 dense_types -> Tensor v'5 Int64 -> Tensor v'6 Bool -> Tensor v'7 Int64 -> (Tensor Build Int64, Tensor Build Int64, Tensor Build Int64)
sparseCrossHashed' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 sparse_types dense_types. (OneOfs '[ByteString, Int64] sparse_types, OneOfs '[ByteString, Int64] dense_types) => OpParams -> [Tensor v'1 Int64] -> TensorList v'2 sparse_types -> [Tensor v'3 Int64] -> TensorList v'4 dense_types -> Tensor v'5 Int64 -> Tensor v'6 Bool -> Tensor v'7 Int64 -> (Tensor Build Int64, Tensor Build Int64, Tensor Build Int64)

sparseCrossV2 :: forall v'1 v'2 v'3 v'4 v'5 sparse_types dense_types. (OneOfs '[ByteString, Int64] sparse_types, OneOfs '[ByteString, Int64] dense_types) => [Tensor v'1 Int64] -> TensorList v'2 sparse_types -> [Tensor v'3 Int64] -> TensorList v'4 dense_types -> Tensor v'5 ByteString -> (Tensor Build Int64, Tensor Build ByteString, Tensor Build Int64)
sparseCrossV2' :: forall v'1 v'2 v'3 v'4 v'5 sparse_types dense_types. (OneOfs '[ByteString, Int64] sparse_types, OneOfs '[ByteString, Int64] dense_types) => OpParams -> [Tensor v'1 Int64] -> TensorList v'2 sparse_types -> [Tensor v'3 Int64] -> TensorList v'4 dense_types -> Tensor v'5 ByteString -> (Tensor Build Int64, Tensor Build ByteString, Tensor Build Int64)

sparseDenseCwiseAdd :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 t -> Tensor Build t
sparseDenseCwiseAdd' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 t -> Tensor Build t

sparseDenseCwiseDiv :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 t -> Tensor Build t
sparseDenseCwiseDiv' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 t -> Tensor Build t

sparseDenseCwiseMul :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 t -> Tensor Build t
sparseDenseCwiseMul' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 t -> Tensor Build t

sparseFillEmptyRows :: forall v'1 v'2 v'3 v'4 t. TensorType t => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 t -> (Tensor Build Int64, Tensor Build t, Tensor Build Bool, Tensor Build Int64)
sparseFillEmptyRows' :: forall v'1 v'2 v'3 v'4 t. TensorType t => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 t -> (Tensor Build Int64, Tensor Build t, Tensor Build Bool, Tensor Build Int64)

sparseFillEmptyRowsGrad :: forall v'1 v'2 t. TensorType t => Tensor v'1 Int64 -> Tensor v'2 t -> (Tensor Build t, Tensor Build t)
sparseFillEmptyRowsGrad' :: forall v'1 v'2 t. TensorType t => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> (Tensor Build t, Tensor Build t)

sparseMatMul :: forall v'1 v'2 ta tb. (OneOf '[Word16, Float] ta, OneOf '[Word16, Float] tb) => Tensor v'1 ta -> Tensor v'2 tb -> Tensor Build Float
sparseMatMul' :: forall v'1 v'2 ta tb. (OneOf '[Word16, Float] ta, OneOf '[Word16, Float] tb) => OpParams -> Tensor v'1 ta -> Tensor v'2 tb -> Tensor Build Float

sparseMatrixAdd :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Double, Float] t => Tensor v'1 Variant -> Tensor v'2 Variant -> Tensor v'3 t -> Tensor v'4 t -> Tensor Build Variant
sparseMatrixAdd' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Double, Float] t => OpParams -> Tensor v'1 Variant -> Tensor v'2 Variant -> Tensor v'3 t -> Tensor v'4 t -> Tensor Build Variant

sparseMatrixMatMul :: forall v'1 v'2 t. TensorType t => Tensor v'1 Variant -> Tensor v'2 t -> Tensor Build t
sparseMatrixMatMul' :: forall v'1 v'2 t. TensorType t => OpParams -> Tensor v'1 Variant -> Tensor v'2 t -> Tensor Build t

sparseMatrixMul :: forall v'1 v'2 t. TensorType t => Tensor v'1 Variant -> Tensor v'2 t -> Tensor Build Variant
sparseMatrixMul' :: forall v'1 v'2 t. TensorType t => OpParams -> Tensor v'1 Variant -> Tensor v'2 t -> Tensor Build Variant

sparseMatrixNNZ :: Tensor v'1 Variant -> Tensor Build Int32
sparseMatrixNNZ' :: OpParams -> Tensor v'1 Variant -> Tensor Build Int32

sparseMatrixOrderingAMD :: Tensor v'1 Variant -> Tensor Build Int32
sparseMatrixOrderingAMD' :: OpParams -> Tensor v'1 Variant -> Tensor Build Int32

sparseMatrixSoftmax :: DataType -> Tensor v'1 Variant -> Tensor Build Variant
sparseMatrixSoftmax' :: OpParams -> DataType -> Tensor v'1 Variant -> Tensor Build Variant

sparseMatrixSoftmaxGrad :: DataType -> Tensor v'1 Variant -> Tensor v'2 Variant -> Tensor Build Variant
sparseMatrixSoftmaxGrad' :: OpParams -> DataType -> Tensor v'1 Variant -> Tensor v'2 Variant -> Tensor Build Variant

sparseMatrixSparseCholesky :: DataType -> Tensor v'1 Variant -> Tensor v'2 Int32 -> Tensor Build Variant
sparseMatrixSparseCholesky' :: OpParams -> DataType -> Tensor v'1 Variant -> Tensor v'2 Int32 -> Tensor Build Variant

sparseMatrixSparseMatMul :: DataType -> Tensor v'1 Variant -> Tensor v'2 Variant -> Tensor Build Variant
sparseMatrixSparseMatMul' :: OpParams -> DataType -> Tensor v'1 Variant -> Tensor v'2 Variant -> Tensor Build Variant

sparseMatrixTranspose :: DataType -> Tensor v'1 Variant -> Tensor Build Variant
sparseMatrixTranspose' :: OpParams -> DataType -> Tensor v'1 Variant -> Tensor Build Variant

sparseMatrixZeros :: DataType -> Tensor v'1 Int64 -> Tensor Build Variant
sparseMatrixZeros' :: OpParams -> DataType -> Tensor v'1 Int64 -> Tensor Build Variant

sparseReduceMax :: forall v'1 v'2 v'3 v'4 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int32 -> Tensor Build t
sparseReduceMax' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int32 -> Tensor Build t

sparseReduceMaxSparse :: forall v'1 v'2 v'3 v'4 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int32 -> (Tensor Build Int64, Tensor Build t, Tensor Build Int64)
sparseReduceMaxSparse' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int32 -> (Tensor Build Int64, Tensor Build t, Tensor Build Int64)

sparseReduceSum :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int32 -> Tensor Build t
sparseReduceSum' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int32 -> Tensor Build t

sparseReduceSumSparse :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int32 -> (Tensor Build Int64, Tensor Build t, Tensor Build Int64)
sparseReduceSumSparse' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int32 -> (Tensor Build Int64, Tensor Build t, Tensor Build Int64)

sparseReorder :: forall v'1 v'2 v'3 t. TensorType t => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> (Tensor Build Int64, Tensor Build t)
sparseReorder' :: forall v'1 v'2 v'3 t. TensorType t => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> (Tensor Build Int64, Tensor Build t)

sparseReshape :: Tensor v'1 Int64 -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> (Tensor Build Int64, Tensor Build Int64)
sparseReshape' :: OpParams -> Tensor v'1 Int64 -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> (Tensor Build Int64, Tensor Build Int64)

sparseSegmentMean :: forall v'1 v'2 v'3 t tidx tsegmentids. (OneOf '[Word16, Double, Float] t, OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64] tsegmentids) => Tensor v'1 t -> Tensor v'2 tidx -> Tensor v'3 tsegmentids -> Tensor Build t
sparseSegmentMean' :: forall v'1 v'2 v'3 t tidx tsegmentids. (OneOf '[Word16, Double, Float] t, OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64] tsegmentids) => OpParams -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor v'3 tsegmentids -> Tensor Build t

sparseSegmentMeanGrad :: forall v'1 v'2 v'3 v'4 t tidx tsegmentids. (OneOf '[Double, Float] t, OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64] tsegmentids) => Tensor v'1 t -> Tensor v'2 tidx -> Tensor v'3 tsegmentids -> Tensor v'4 Int32 -> Tensor Build t
sparseSegmentMeanGrad' :: forall v'1 v'2 v'3 v'4 t tidx tsegmentids. (OneOf '[Double, Float] t, OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64] tsegmentids) => OpParams -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor v'3 tsegmentids -> Tensor v'4 Int32 -> Tensor Build t

sparseSegmentMeanWithNumSegments :: forall v'1 v'2 v'3 v'4 t tidx tnumsegments tsegmentids. (OneOf '[Word16, Double, Float] t, OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64] tnumsegments, OneOf '[Int32, Int64] tsegmentids) => Tensor v'1 t -> Tensor v'2 tidx -> Tensor v'3 tsegmentids -> Tensor v'4 tnumsegments -> Tensor Build t
sparseSegmentMeanWithNumSegments' :: forall v'1 v'2 v'3 v'4 t tidx tnumsegments tsegmentids. (OneOf '[Word16, Double, Float] t, OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64] tnumsegments, OneOf '[Int32, Int64] tsegmentids) => OpParams -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor v'3 tsegmentids -> Tensor v'4 tnumsegments -> Tensor Build t

sparseSegmentSqrtN :: forall v'1 v'2 v'3 t tidx tsegmentids. (OneOf '[Word16, Double, Float] t, OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64] tsegmentids) => Tensor v'1 t -> Tensor v'2 tidx -> Tensor v'3 tsegmentids -> Tensor Build t
sparseSegmentSqrtN' :: forall v'1 v'2 v'3 t tidx tsegmentids. (OneOf '[Word16, Double, Float] t, OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64] tsegmentids) => OpParams -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor v'3 tsegmentids -> Tensor Build t

sparseSegmentSqrtNGrad :: forall v'1 v'2 v'3 v'4 t tidx tsegmentids. (OneOf '[Double, Float] t, OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64] tsegmentids) => Tensor v'1 t -> Tensor v'2 tidx -> Tensor v'3 tsegmentids -> Tensor v'4 Int32 -> Tensor Build t
sparseSegmentSqrtNGrad' :: forall v'1 v'2 v'3 v'4 t tidx tsegmentids. (OneOf '[Double, Float] t, OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64] tsegmentids) => OpParams -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor v'3 tsegmentids -> Tensor v'4 Int32 -> Tensor Build t

sparseSegmentSqrtNWithNumSegments :: forall v'1 v'2 v'3 v'4 t tidx tnumsegments tsegmentids. (OneOf '[Word16, Double, Float] t, OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64] tnumsegments, OneOf '[Int32, Int64] tsegmentids) => Tensor v'1 t -> Tensor v'2 tidx -> Tensor v'3 tsegmentids -> Tensor v'4 tnumsegments -> Tensor Build t
sparseSegmentSqrtNWithNumSegments' :: forall v'1 v'2 v'3 v'4 t tidx tnumsegments tsegmentids. (OneOf '[Word16, Double, Float] t, OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64] tnumsegments, OneOf '[Int32, Int64] tsegmentids) => OpParams -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor v'3 tsegmentids -> Tensor v'4 tnumsegments -> Tensor Build t

sparseSegmentSum :: forall v'1 v'2 v'3 t tidx tsegmentids. (OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64] tsegmentids) => Tensor v'1 t -> Tensor v'2 tidx -> Tensor v'3 tsegmentids -> Tensor Build t
sparseSegmentSum' :: forall v'1 v'2 v'3 t tidx tsegmentids. (OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64] tsegmentids) => OpParams -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor v'3 tsegmentids -> Tensor Build t

sparseSegmentSumWithNumSegments :: forall v'1 v'2 v'3 v'4 t tidx tnumsegments tsegmentids. (OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64] tnumsegments, OneOf '[Int32, Int64] tsegmentids) => Tensor v'1 t -> Tensor v'2 tidx -> Tensor v'3 tsegmentids -> Tensor v'4 tnumsegments -> Tensor Build t
sparseSegmentSumWithNumSegments' :: forall v'1 v'2 v'3 v'4 t tidx tnumsegments tsegmentids. (OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx, OneOf '[Int32, Int64] tnumsegments, OneOf '[Int32, Int64] tsegmentids) => OpParams -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor v'3 tsegmentids -> Tensor v'4 tnumsegments -> Tensor Build t

sparseSlice :: forall v'1 v'2 v'3 v'4 v'5 t. TensorType t => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 Int64 -> (Tensor Build Int64, Tensor Build t, Tensor Build Int64)
sparseSlice' :: forall v'1 v'2 v'3 v'4 v'5 t. TensorType t => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 Int64 -> (Tensor Build Int64, Tensor Build t, Tensor Build Int64)

sparseSliceGrad :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor Build t
sparseSliceGrad' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor Build t

sparseSoftmax :: forall v'1 v'2 v'3 t. OneOf '[Double, Float] t => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor Build t
sparseSoftmax' :: forall v'1 v'2 v'3 t. OneOf '[Double, Float] t => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor Build t

sparseSoftmaxCrossEntropyWithLogits :: forall v'1 v'2 t tlabels. (OneOf '[Word16, Double, Float] t, OneOf '[Int32, Int64] tlabels) => Tensor v'1 t -> Tensor v'2 tlabels -> (Tensor Build t, Tensor Build t)
sparseSoftmaxCrossEntropyWithLogits' :: forall v'1 v'2 t tlabels. (OneOf '[Word16, Double, Float] t, OneOf '[Int32, Int64] tlabels) => OpParams -> Tensor v'1 t -> Tensor v'2 tlabels -> (Tensor Build t, Tensor Build t)

sparseSparseMaximum :: forall v'1 v'2 v'3 v'4 v'5 v'6 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 t -> Tensor v'6 Int64 -> (Tensor Build Int64, Tensor Build t)
sparseSparseMaximum' :: forall v'1 v'2 v'3 v'4 v'5 v'6 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 t -> Tensor v'6 Int64 -> (Tensor Build Int64, Tensor Build t)

sparseSparseMinimum :: forall v'1 v'2 v'3 v'4 v'5 v'6 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 t -> Tensor v'6 Int64 -> (Tensor Build Int64, Tensor Build t)
sparseSparseMinimum' :: forall v'1 v'2 v'3 v'4 v'5 v'6 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 t -> Tensor v'6 Int64 -> (Tensor Build Int64, Tensor Build t)

sparseSplit :: forall v'1 v'2 v'3 v'4 t. TensorType t => Int64 -> Tensor v'1 Int64 -> Tensor v'2 Int64 -> Tensor v'3 t -> Tensor v'4 Int64 -> ([Tensor Build Int64], [Tensor Build t], [Tensor Build Int64])
sparseSplit' :: forall v'1 v'2 v'3 v'4 t. TensorType t => OpParams -> Int64 -> Tensor v'1 Int64 -> Tensor v'2 Int64 -> Tensor v'3 t -> Tensor v'4 Int64 -> ([Tensor Build Int64], [Tensor Build t], [Tensor Build Int64])

sparseTensorDenseAdd :: forall v'1 v'2 v'3 v'4 t tindices. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor v'1 tindices -> Tensor v'2 t -> Tensor v'3 tindices -> Tensor v'4 t -> Tensor Build t
sparseTensorDenseAdd' :: forall v'1 v'2 v'3 v'4 t tindices. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 tindices -> Tensor v'2 t -> Tensor v'3 tindices -> Tensor v'4 t -> Tensor Build t

sparseTensorDenseMatMul :: forall v'1 v'2 v'3 v'4 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => Tensor v'1 tindices -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 t -> Tensor Build t
sparseTensorDenseMatMul' :: forall v'1 v'2 v'3 v'4 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 tindices -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 t -> Tensor Build t

sparseTensorSliceDataset :: forall v'1 v'2 v'3 tvalues m'. (MonadBuild m', TensorType tvalues) => Tensor v'1 Int64 -> Tensor v'2 tvalues -> Tensor v'3 Int64 -> m' (Tensor Value Variant)
sparseTensorSliceDataset' :: forall v'1 v'2 v'3 tvalues m'. (MonadBuild m', TensorType tvalues) => OpParams -> Tensor v'1 Int64 -> Tensor v'2 tvalues -> Tensor v'3 Int64 -> m' (Tensor Value Variant)

sparseTensorToCSRSparseMatrix :: forall v'1 v'2 v'3 t. OneOf '[Complex Double, Complex Float, Double, Float] t => Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor Build Variant
sparseTensorToCSRSparseMatrix' :: forall v'1 v'2 v'3 t. OneOf '[Complex Double, Complex Float, Double, Float] t => OpParams -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor Build Variant

sparseToDense :: forall v'1 v'2 v'3 v'4 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => Tensor v'1 tindices -> Tensor v'2 tindices -> Tensor v'3 t -> Tensor v'4 t -> Tensor Build t
sparseToDense' :: forall v'1 v'2 v'3 v'4 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 tindices -> Tensor v'2 tindices -> Tensor v'3 t -> Tensor v'4 t -> Tensor Build t

sparseToSparseSetOperation :: forall v'1 v'2 v'3 v'4 v'5 v'6 t. OneOf '[ByteString, Int16, Int32, Int64, Int8, Word16, Word8] t => ByteString -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 t -> Tensor v'6 Int64 -> (Tensor Build Int64, Tensor Build t, Tensor Build Int64)
sparseToSparseSetOperation' :: forall v'1 v'2 v'3 v'4 v'5 v'6 t. OneOf '[ByteString, Int16, Int32, Int64, Int8, Word16, Word8] t => OpParams -> ByteString -> Tensor v'1 Int64 -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 t -> Tensor v'6 Int64 -> (Tensor Build Int64, Tensor Build t, Tensor Build Int64)

spence :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
spence' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

split :: forall v'1 v'2 t. TensorType t => Int64 -> Tensor v'1 Int32 -> Tensor v'2 t -> [Tensor Build t]
split' :: forall v'1 v'2 t. TensorType t => OpParams -> Int64 -> Tensor v'1 Int32 -> Tensor v'2 t -> [Tensor Build t]

splitV :: forall v'1 v'2 v'3 t tlen. (TensorType t, OneOf '[Int32, Int64] tlen) => Int64 -> Tensor v'1 t -> Tensor v'2 tlen -> Tensor v'3 Int32 -> [Tensor Build t]
splitV' :: forall v'1 v'2 v'3 t tlen. (TensorType t, OneOf '[Int32, Int64] tlen) => OpParams -> Int64 -> Tensor v'1 t -> Tensor v'2 tlen -> Tensor v'3 Int32 -> [Tensor Build t]

sqlDataset :: forall v'1 v'2 v'3 m'. MonadBuild m' => [DataType] -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> m' (Tensor Value Variant)
sqlDataset' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> [DataType] -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> m' (Tensor Value Variant)

sqrt :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
sqrt' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

sqrtGrad :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
sqrtGrad' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

square :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
square' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

squaredDifference :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int32, Int64, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
squaredDifference' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int32, Int64, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

squeeze :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build t
squeeze' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build t

stack :: forall m'. MonadBuild m' => DataType -> m' (Tensor Ref ByteString)
stack' :: forall m'. MonadBuild m' => OpParams -> DataType -> m' (Tensor Ref ByteString)

stackClose :: forall m'. MonadBuild m' => Tensor Ref ByteString -> m' ControlNode
stackClose' :: forall m'. MonadBuild m' => OpParams -> Tensor Ref ByteString -> m' ControlNode

stackCloseV2 :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' ControlNode
stackCloseV2' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' ControlNode

stackPop :: forall elem_type m'. (MonadBuild m', TensorType elem_type) => Tensor Ref ByteString -> m' (Tensor Value elem_type)
stackPop' :: forall elem_type m'. (MonadBuild m', TensorType elem_type) => OpParams -> Tensor Ref ByteString -> m' (Tensor Value elem_type)

stackPopV2 :: forall v'1 elem_type m'. (MonadBuild m', TensorType elem_type) => Tensor v'1 ResourceHandle -> m' (Tensor Value elem_type)
stackPopV2' :: forall v'1 elem_type m'. (MonadBuild m', TensorType elem_type) => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value elem_type)

stackPush :: forall v'2 t m'. (MonadBuild m', TensorType t) => Tensor Ref ByteString -> Tensor v'2 t -> m' (Tensor Value t)
stackPush' :: forall v'2 t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor Ref ByteString -> Tensor v'2 t -> m' (Tensor Value t)

stackPushV2 :: forall v'1 v'2 t m'. (MonadBuild m', TensorType t) => Tensor v'1 ResourceHandle -> Tensor v'2 t -> m' (Tensor Value t)
stackPushV2' :: forall v'1 v'2 t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 t -> m' (Tensor Value t)

stackV2 :: forall v'1 m'. MonadBuild m' => DataType -> Tensor v'1 Int32 -> m' (Tensor Value ResourceHandle)
stackV2' :: forall v'1 m'. MonadBuild m' => OpParams -> DataType -> Tensor v'1 Int32 -> m' (Tensor Value ResourceHandle)

stage :: forall v'1 dtypes m'. (MonadBuild m', TensorTypes dtypes) => TensorList v'1 dtypes -> m' ControlNode
stage' :: forall v'1 dtypes m'. (MonadBuild m', TensorTypes dtypes) => OpParams -> TensorList v'1 dtypes -> m' ControlNode

stageClear :: forall m'. MonadBuild m' => [DataType] -> m' ControlNode
stageClear' :: forall m'. MonadBuild m' => OpParams -> [DataType] -> m' ControlNode

stagePeek :: forall v'1 dtypes m'. (MonadBuild m', TensorTypes dtypes) => Tensor v'1 Int32 -> m' (TensorList Value dtypes)
stagePeek' :: forall v'1 dtypes m'. (MonadBuild m', TensorTypes dtypes) => OpParams -> Tensor v'1 Int32 -> m' (TensorList Value dtypes)

stageSize :: forall m'. MonadBuild m' => [DataType] -> m' (Tensor Value Int32)
stageSize' :: forall m'. MonadBuild m' => OpParams -> [DataType] -> m' (Tensor Value Int32)

statefulRandomBinomial :: forall v'1 v'2 v'3 v'4 v'5 s t dtype m'. (MonadBuild m', OneOf '[Int32, Int64] s, OneOf '[Int32, Int64, Word16, Double, Float] t, OneOf '[Int32, Int64, Word16, Double, Float] dtype) => Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 s -> Tensor v'4 t -> Tensor v'5 t -> m' (Tensor Value dtype)
statefulRandomBinomial' :: forall v'1 v'2 v'3 v'4 v'5 s t dtype m'. (MonadBuild m', OneOf '[Int32, Int64] s, OneOf '[Int32, Int64, Word16, Double, Float] t, OneOf '[Int32, Int64, Word16, Double, Float] dtype) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 s -> Tensor v'4 t -> Tensor v'5 t -> m' (Tensor Value dtype)

statefulStandardNormal :: forall v'1 v'2 dtype shape_dtype m'. (MonadBuild m', TensorType dtype, TensorType shape_dtype) => Tensor v'1 ResourceHandle -> Tensor v'2 shape_dtype -> m' (Tensor Value dtype)
statefulStandardNormal' :: forall v'1 v'2 dtype shape_dtype m'. (MonadBuild m', TensorType dtype, TensorType shape_dtype) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 shape_dtype -> m' (Tensor Value dtype)

statefulStandardNormalV2 :: forall v'1 v'2 v'3 dtype shape_dtype m'. (MonadBuild m', TensorType dtype, TensorType shape_dtype) => Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 shape_dtype -> m' (Tensor Value dtype)
statefulStandardNormalV2' :: forall v'1 v'2 v'3 dtype shape_dtype m'. (MonadBuild m', TensorType dtype, TensorType shape_dtype) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 shape_dtype -> m' (Tensor Value dtype)

statefulTruncatedNormal :: forall v'1 v'2 v'3 dtype shape_dtype m'. (MonadBuild m', TensorType dtype, TensorType shape_dtype) => Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 shape_dtype -> m' (Tensor Value dtype)
statefulTruncatedNormal' :: forall v'1 v'2 v'3 dtype shape_dtype m'. (MonadBuild m', TensorType dtype, TensorType shape_dtype) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 shape_dtype -> m' (Tensor Value dtype)

statefulUniform :: forall v'1 v'2 v'3 dtype shape_dtype m'. (MonadBuild m', TensorType dtype, TensorType shape_dtype) => Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 shape_dtype -> m' (Tensor Value dtype)
statefulUniform' :: forall v'1 v'2 v'3 dtype shape_dtype m'. (MonadBuild m', TensorType dtype, TensorType shape_dtype) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 shape_dtype -> m' (Tensor Value dtype)

statefulUniformFullInt :: forall v'1 v'2 v'3 dtype shape_dtype m'. (MonadBuild m', TensorType dtype, TensorType shape_dtype) => Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 shape_dtype -> m' (Tensor Value dtype)
statefulUniformFullInt' :: forall v'1 v'2 v'3 dtype shape_dtype m'. (MonadBuild m', TensorType dtype, TensorType shape_dtype) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 shape_dtype -> m' (Tensor Value dtype)

statefulUniformInt :: forall v'1 v'2 v'3 v'4 v'5 dtype shape_dtype m'. (MonadBuild m', TensorType dtype, TensorType shape_dtype) => Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 shape_dtype -> Tensor v'4 dtype -> Tensor v'5 dtype -> m' (Tensor Value dtype)
statefulUniformInt' :: forall v'1 v'2 v'3 v'4 v'5 dtype shape_dtype m'. (MonadBuild m', TensorType dtype, TensorType shape_dtype) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 shape_dtype -> Tensor v'4 dtype -> Tensor v'5 dtype -> m' (Tensor Value dtype)

statelessMultinomial :: forall v'1 v'2 v'3 t tseed output_dtype. (OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tseed, OneOf '[Int32, Int64] output_dtype) => Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 tseed -> Tensor Build output_dtype
statelessMultinomial' :: forall v'1 v'2 v'3 t tseed output_dtype. (OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tseed, OneOf '[Int32, Int64] output_dtype) => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor v'3 tseed -> Tensor Build output_dtype

statelessParameterizedTruncatedNormal :: forall v'1 v'2 v'3 v'4 v'5 v'6 s tseed dtype. (OneOf '[Int32, Int64] s, OneOf '[Int32, Int64] tseed, OneOf '[Word16, Double, Float] dtype) => Tensor v'1 s -> Tensor v'2 tseed -> Tensor v'3 dtype -> Tensor v'4 dtype -> Tensor v'5 dtype -> Tensor v'6 dtype -> Tensor Build dtype
statelessParameterizedTruncatedNormal' :: forall v'1 v'2 v'3 v'4 v'5 v'6 s tseed dtype. (OneOf '[Int32, Int64] s, OneOf '[Int32, Int64] tseed, OneOf '[Word16, Double, Float] dtype) => OpParams -> Tensor v'1 s -> Tensor v'2 tseed -> Tensor v'3 dtype -> Tensor v'4 dtype -> Tensor v'5 dtype -> Tensor v'6 dtype -> Tensor Build dtype

statelessRandomBinomial :: forall v'1 v'2 v'3 v'4 s tseed t dtype. (OneOf '[Int32, Int64] s, OneOf '[Int32, Int64] tseed, OneOf '[Int32, Int64, Word16, Double, Float] t, OneOf '[Int32, Int64, Word16, Double, Float] dtype) => Tensor v'1 s -> Tensor v'2 tseed -> Tensor v'3 t -> Tensor v'4 t -> Tensor Build dtype
statelessRandomBinomial' :: forall v'1 v'2 v'3 v'4 s tseed t dtype. (OneOf '[Int32, Int64] s, OneOf '[Int32, Int64] tseed, OneOf '[Int32, Int64, Word16, Double, Float] t, OneOf '[Int32, Int64, Word16, Double, Float] dtype) => OpParams -> Tensor v'1 s -> Tensor v'2 tseed -> Tensor v'3 t -> Tensor v'4 t -> Tensor Build dtype

statelessRandomGammaV2 :: forall v'1 v'2 v'3 dtype t tseed. (OneOf '[Word16, Double, Float] dtype, OneOf '[Int32, Int64] t, OneOf '[Int32, Int64] tseed) => Tensor v'1 t -> Tensor v'2 tseed -> Tensor v'3 dtype -> Tensor Build dtype
statelessRandomGammaV2' :: forall v'1 v'2 v'3 dtype t tseed. (OneOf '[Word16, Double, Float] dtype, OneOf '[Int32, Int64] t, OneOf '[Int32, Int64] tseed) => OpParams -> Tensor v'1 t -> Tensor v'2 tseed -> Tensor v'3 dtype -> Tensor Build dtype

statelessRandomNormal :: forall v'1 v'2 dtype t tseed. (OneOf '[Word16, Double, Float] dtype, OneOf '[Int32, Int64] t, OneOf '[Int32, Int64] tseed) => Tensor v'1 t -> Tensor v'2 tseed -> Tensor Build dtype
statelessRandomNormal' :: forall v'1 v'2 dtype t tseed. (OneOf '[Word16, Double, Float] dtype, OneOf '[Int32, Int64] t, OneOf '[Int32, Int64] tseed) => OpParams -> Tensor v'1 t -> Tensor v'2 tseed -> Tensor Build dtype

statelessRandomPoisson :: forall v'1 v'2 v'3 rtype dtype t tseed. (OneOf '[Int32, Int64, Word16, Double, Float] rtype, OneOf '[Int32, Int64, Word16, Double, Float] dtype, OneOf '[Int32, Int64] t, OneOf '[Int32, Int64] tseed) => Tensor v'1 t -> Tensor v'2 tseed -> Tensor v'3 rtype -> Tensor Build dtype
statelessRandomPoisson' :: forall v'1 v'2 v'3 rtype dtype t tseed. (OneOf '[Int32, Int64, Word16, Double, Float] rtype, OneOf '[Int32, Int64, Word16, Double, Float] dtype, OneOf '[Int32, Int64] t, OneOf '[Int32, Int64] tseed) => OpParams -> Tensor v'1 t -> Tensor v'2 tseed -> Tensor v'3 rtype -> Tensor Build dtype

statelessRandomUniform :: forall v'1 v'2 dtype t tseed. (OneOf '[Word16, Double, Float] dtype, OneOf '[Int32, Int64] t, OneOf '[Int32, Int64] tseed) => Tensor v'1 t -> Tensor v'2 tseed -> Tensor Build dtype
statelessRandomUniform' :: forall v'1 v'2 dtype t tseed. (OneOf '[Word16, Double, Float] dtype, OneOf '[Int32, Int64] t, OneOf '[Int32, Int64] tseed) => OpParams -> Tensor v'1 t -> Tensor v'2 tseed -> Tensor Build dtype

statelessRandomUniformFullInt :: forall v'1 v'2 dtype t tseed. (OneOf '[Int32, Int64, Word32, Word64] dtype, OneOf '[Int32, Int64] t, OneOf '[Int32, Int64, Word32, Word64] tseed) => Tensor v'1 t -> Tensor v'2 tseed -> Tensor Build dtype
statelessRandomUniformFullInt' :: forall v'1 v'2 dtype t tseed. (OneOf '[Int32, Int64, Word32, Word64] dtype, OneOf '[Int32, Int64] t, OneOf '[Int32, Int64, Word32, Word64] tseed) => OpParams -> Tensor v'1 t -> Tensor v'2 tseed -> Tensor Build dtype

statelessRandomUniformInt :: forall v'1 v'2 v'3 v'4 dtype t tseed. (OneOf '[Int32, Int64] dtype, OneOf '[Int32, Int64] t, OneOf '[Int32, Int64] tseed) => Tensor v'1 t -> Tensor v'2 tseed -> Tensor v'3 dtype -> Tensor v'4 dtype -> Tensor Build dtype
statelessRandomUniformInt' :: forall v'1 v'2 v'3 v'4 dtype t tseed. (OneOf '[Int32, Int64] dtype, OneOf '[Int32, Int64] t, OneOf '[Int32, Int64] tseed) => OpParams -> Tensor v'1 t -> Tensor v'2 tseed -> Tensor v'3 dtype -> Tensor v'4 dtype -> Tensor Build dtype

statelessTruncatedNormal :: forall v'1 v'2 dtype t tseed. (OneOf '[Word16, Double, Float] dtype, OneOf '[Int32, Int64] t, OneOf '[Int32, Int64] tseed) => Tensor v'1 t -> Tensor v'2 tseed -> Tensor Build dtype
statelessTruncatedNormal' :: forall v'1 v'2 dtype t tseed. (OneOf '[Word16, Double, Float] dtype, OneOf '[Int32, Int64] t, OneOf '[Int32, Int64] tseed) => OpParams -> Tensor v'1 t -> Tensor v'2 tseed -> Tensor Build dtype

staticRegexFullMatch :: ByteString -> Tensor v'1 ByteString -> Tensor Build Bool
staticRegexFullMatch' :: OpParams -> ByteString -> Tensor v'1 ByteString -> Tensor Build Bool

staticRegexReplace :: ByteString -> ByteString -> Tensor v'1 ByteString -> Tensor Build ByteString
staticRegexReplace' :: OpParams -> ByteString -> ByteString -> Tensor v'1 ByteString -> Tensor Build ByteString

statsAggregatorHandle :: forall m'. MonadBuild m' => m' (Tensor Value ResourceHandle)
statsAggregatorHandle' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Value ResourceHandle)

statsAggregatorHandleV2 :: forall m'. MonadBuild m' => m' (Tensor Value ResourceHandle)
statsAggregatorHandleV2' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Value ResourceHandle)

statsAggregatorSetSummaryWriter :: forall v'1 v'2 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> m' ControlNode
statsAggregatorSetSummaryWriter' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ResourceHandle -> m' ControlNode

statsAggregatorSummary :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value ByteString)
statsAggregatorSummary' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value ByteString)

stopGradient :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build t
stopGradient' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build t

stridedSlice :: forall v'1 v'2 v'3 v'4 t index. (TensorType t, OneOf '[Int32, Int64] index) => Tensor v'1 t -> Tensor v'2 index -> Tensor v'3 index -> Tensor v'4 index -> Tensor Build t
stridedSlice' :: forall v'1 v'2 v'3 v'4 t index. (TensorType t, OneOf '[Int32, Int64] index) => OpParams -> Tensor v'1 t -> Tensor v'2 index -> Tensor v'3 index -> Tensor v'4 index -> Tensor Build t

stridedSliceAssign :: forall v'2 v'3 v'4 v'5 t index m'. (MonadBuild m', TensorType t, OneOf '[Int32, Int64] index) => Tensor Ref t -> Tensor v'2 index -> Tensor v'3 index -> Tensor v'4 index -> Tensor v'5 t -> m' (Tensor Ref t)
stridedSliceAssign' :: forall v'2 v'3 v'4 v'5 t index m'. (MonadBuild m', TensorType t, OneOf '[Int32, Int64] index) => OpParams -> Tensor Ref t -> Tensor v'2 index -> Tensor v'3 index -> Tensor v'4 index -> Tensor v'5 t -> m' (Tensor Ref t)

stridedSliceGrad :: forall v'1 v'2 v'3 v'4 v'5 t index. (TensorType t, OneOf '[Int32, Int64] index) => Tensor v'1 index -> Tensor v'2 index -> Tensor v'3 index -> Tensor v'4 index -> Tensor v'5 t -> Tensor Build t
stridedSliceGrad' :: forall v'1 v'2 v'3 v'4 v'5 t index. (TensorType t, OneOf '[Int32, Int64] index) => OpParams -> Tensor v'1 index -> Tensor v'2 index -> Tensor v'3 index -> Tensor v'4 index -> Tensor v'5 t -> Tensor Build t

stringFormat :: forall v'1 t. TensorTypes t => TensorList v'1 t -> Tensor Build ByteString
stringFormat' :: forall v'1 t. TensorTypes t => OpParams -> TensorList v'1 t -> Tensor Build ByteString

stringJoin :: [Tensor v'1 ByteString] -> Tensor Build ByteString
stringJoin' :: OpParams -> [Tensor v'1 ByteString] -> Tensor Build ByteString

stringLength :: Tensor v'1 ByteString -> Tensor Build Int32
stringLength' :: OpParams -> Tensor v'1 ByteString -> Tensor Build Int32

stringLower :: Tensor v'1 ByteString -> Tensor Build ByteString
stringLower' :: OpParams -> Tensor v'1 ByteString -> Tensor Build ByteString

stringNGrams :: forall v'1 v'2 tsplits. OneOf '[Int32, Int64] tsplits => ByteString -> Int64 -> Bool -> ByteString -> ByteString -> Tensor v'1 ByteString -> Tensor v'2 tsplits -> (Tensor Build ByteString, Tensor Build tsplits)
stringNGrams' :: forall v'1 v'2 tsplits. OneOf '[Int32, Int64] tsplits => OpParams -> ByteString -> Int64 -> Bool -> ByteString -> ByteString -> Tensor v'1 ByteString -> Tensor v'2 tsplits -> (Tensor Build ByteString, Tensor Build tsplits)

stringSplit :: Tensor v'1 ByteString -> Tensor v'2 ByteString -> (Tensor Build Int64, Tensor Build ByteString, Tensor Build Int64)
stringSplit' :: OpParams -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> (Tensor Build Int64, Tensor Build ByteString, Tensor Build Int64)

stringSplitV2 :: Tensor v'1 ByteString -> Tensor v'2 ByteString -> (Tensor Build Int64, Tensor Build ByteString, Tensor Build Int64)
stringSplitV2' :: OpParams -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> (Tensor Build Int64, Tensor Build ByteString, Tensor Build Int64)

stringStrip :: Tensor v'1 ByteString -> Tensor Build ByteString
stringStrip' :: OpParams -> Tensor v'1 ByteString -> Tensor Build ByteString

stringToHashBucket :: Int64 -> Tensor v'1 ByteString -> Tensor Build Int64
stringToHashBucket' :: OpParams -> Int64 -> Tensor v'1 ByteString -> Tensor Build Int64

stringToHashBucketFast :: Int64 -> Tensor v'1 ByteString -> Tensor Build Int64
stringToHashBucketFast' :: OpParams -> Int64 -> Tensor v'1 ByteString -> Tensor Build Int64

stringToHashBucketStrong :: Int64 -> Tensor v'1 ByteString -> Tensor Build Int64
stringToHashBucketStrong' :: OpParams -> Int64 -> Tensor v'1 ByteString -> Tensor Build Int64

stringToNumber :: forall v'1 out_type. OneOf '[Int32, Int64, Double, Float] out_type => Tensor v'1 ByteString -> Tensor Build out_type
stringToNumber' :: forall v'1 out_type. OneOf '[Int32, Int64, Double, Float] out_type => OpParams -> Tensor v'1 ByteString -> Tensor Build out_type

stringUpper :: Tensor v'1 ByteString -> Tensor Build ByteString
stringUpper' :: OpParams -> Tensor v'1 ByteString -> Tensor Build ByteString

sub :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
sub' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

substr :: forall v'1 v'2 v'3 t. OneOf '[Int32, Int64] t => Tensor v'1 ByteString -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build ByteString
substr' :: forall v'1 v'2 v'3 t. OneOf '[Int32, Int64] t => OpParams -> Tensor v'1 ByteString -> Tensor v'2 t -> Tensor v'3 t -> Tensor Build ByteString

sum :: forall v'1 v'2 t tidx. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx) => Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t
sum' :: forall v'1 v'2 t tidx. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tidx) => OpParams -> Tensor v'1 t -> Tensor v'2 tidx -> Tensor Build t

summaryWriter :: forall m'. MonadBuild m' => m' (Tensor Value ResourceHandle)
summaryWriter' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Value ResourceHandle)

svd :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> (Tensor Build t, Tensor Build t, Tensor Build t)
svd' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> (Tensor Build t, Tensor Build t, Tensor Build t)

switch :: forall v'1 v'2 t. TensorType t => Tensor v'1 t -> Tensor v'2 Bool -> (Tensor Build t, Tensor Build t)
switch' :: forall v'1 v'2 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor v'2 Bool -> (Tensor Build t, Tensor Build t)

tFRecordDataset :: forall v'1 v'2 v'3 m'. MonadBuild m' => Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 Int64 -> m' (Tensor Value Variant)
tFRecordDataset' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 Int64 -> m' (Tensor Value Variant)

tFRecordReader :: forall m'. MonadBuild m' => m' (Tensor Ref ByteString)
tFRecordReader' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Ref ByteString)

tFRecordReaderV2 :: forall m'. MonadBuild m' => m' (Tensor Value ResourceHandle)
tFRecordReaderV2' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Value ResourceHandle)

tPUCompilationResult :: Tensor Build ByteString
tPUCompilationResult' :: OpParams -> Tensor Build ByteString

tPUEmbeddingActivations :: Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor Build Float
tPUEmbeddingActivations' :: OpParams -> Int64 -> Int64 -> Tensor v'1 Float -> Tensor v'2 Float -> Tensor Build Float

tPUOrdinalSelector :: forall m'. MonadBuild m' => m' (Tensor Value Int32)
tPUOrdinalSelector' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Value Int32)

tPUReplicateMetadata :: forall m'. MonadBuild m' => Int64 -> m' ControlNode
tPUReplicateMetadata' :: forall m'. MonadBuild m' => OpParams -> Int64 -> m' ControlNode

tPUReplicatedInput :: forall v'1 t. TensorType t => [Tensor v'1 t] -> Tensor Build t
tPUReplicatedInput' :: forall v'1 t. TensorType t => OpParams -> [Tensor v'1 t] -> Tensor Build t

tPUReplicatedOutput :: forall v'1 t. TensorType t => Int64 -> Tensor v'1 t -> [Tensor Build t]
tPUReplicatedOutput' :: forall v'1 t. TensorType t => OpParams -> Int64 -> Tensor v'1 t -> [Tensor Build t]

takeDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant
takeDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor Build Variant

takeManySparseFromTensorsMap :: forall v'1 dtype m'. (MonadBuild m', TensorType dtype) => Tensor v'1 Int64 -> m' (Tensor Value Int64, Tensor Value dtype, Tensor Value Int64)
takeManySparseFromTensorsMap' :: forall v'1 dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Tensor v'1 Int64 -> m' (Tensor Value Int64, Tensor Value dtype, Tensor Value Int64)

tan :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
tan' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

tanh :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
tanh' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

tanhGrad :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
tanhGrad' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

temporaryVariable :: forall dtype m'. (MonadBuild m', TensorType dtype) => Shape -> m' (Tensor Ref dtype)
temporaryVariable' :: forall dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Shape -> m' (Tensor Ref dtype)

tensorArray :: forall v'1 m'. MonadBuild m' => DataType -> Tensor v'1 Int32 -> m' (Tensor Ref ByteString)
tensorArray' :: forall v'1 m'. MonadBuild m' => OpParams -> DataType -> Tensor v'1 Int32 -> m' (Tensor Ref ByteString)

tensorArrayClose :: forall m'. MonadBuild m' => Tensor Ref ByteString -> m' ControlNode
tensorArrayClose' :: forall m'. MonadBuild m' => OpParams -> Tensor Ref ByteString -> m' ControlNode

tensorArrayCloseV2 :: forall v'1 m'. MonadBuild m' => Tensor v'1 ByteString -> m' ControlNode
tensorArrayCloseV2' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ByteString -> m' ControlNode

tensorArrayCloseV3 :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' ControlNode
tensorArrayCloseV3' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' ControlNode

tensorArrayConcat :: forall v'2 dtype m'. (MonadBuild m', TensorType dtype) => Tensor Ref ByteString -> Tensor v'2 Float -> m' (Tensor Value dtype, Tensor Value Int64)
tensorArrayConcat' :: forall v'2 dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Tensor Ref ByteString -> Tensor v'2 Float -> m' (Tensor Value dtype, Tensor Value Int64)

tensorArrayConcatV2 :: forall v'1 v'2 dtype. TensorType dtype => Tensor v'1 ByteString -> Tensor v'2 Float -> (Tensor Build dtype, Tensor Build Int64)
tensorArrayConcatV2' :: forall v'1 v'2 dtype. TensorType dtype => OpParams -> Tensor v'1 ByteString -> Tensor v'2 Float -> (Tensor Build dtype, Tensor Build Int64)

tensorArrayConcatV3 :: forall v'1 v'2 dtype m'. (MonadBuild m', TensorType dtype) => Tensor v'1 ResourceHandle -> Tensor v'2 Float -> m' (Tensor Value dtype, Tensor Value Int64)
tensorArrayConcatV3' :: forall v'1 v'2 dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Float -> m' (Tensor Value dtype, Tensor Value Int64)

tensorArrayGather :: forall v'2 v'3 dtype m'. (MonadBuild m', TensorType dtype) => Tensor Ref ByteString -> Tensor v'2 Int32 -> Tensor v'3 Float -> m' (Tensor Value dtype)
tensorArrayGather' :: forall v'2 v'3 dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Tensor Ref ByteString -> Tensor v'2 Int32 -> Tensor v'3 Float -> m' (Tensor Value dtype)

tensorArrayGatherV2 :: forall v'1 v'2 v'3 dtype. TensorType dtype => Tensor v'1 ByteString -> Tensor v'2 Int32 -> Tensor v'3 Float -> Tensor Build dtype
tensorArrayGatherV2' :: forall v'1 v'2 v'3 dtype. TensorType dtype => OpParams -> Tensor v'1 ByteString -> Tensor v'2 Int32 -> Tensor v'3 Float -> Tensor Build dtype

tensorArrayGatherV3 :: forall v'1 v'2 v'3 dtype m'. (MonadBuild m', TensorType dtype) => Tensor v'1 ResourceHandle -> Tensor v'2 Int32 -> Tensor v'3 Float -> m' (Tensor Value dtype)
tensorArrayGatherV3' :: forall v'1 v'2 v'3 dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int32 -> Tensor v'3 Float -> m' (Tensor Value dtype)

tensorArrayGrad :: forall v'1 v'2 m'. MonadBuild m' => ByteString -> Tensor v'1 ByteString -> Tensor v'2 Float -> m' (Tensor Ref ByteString)
tensorArrayGrad' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> ByteString -> Tensor v'1 ByteString -> Tensor v'2 Float -> m' (Tensor Ref ByteString)

tensorArrayGradV2 :: forall v'1 v'2 m'. MonadBuild m' => ByteString -> Tensor v'1 ByteString -> Tensor v'2 Float -> m' (Tensor Value ByteString)
tensorArrayGradV2' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> ByteString -> Tensor v'1 ByteString -> Tensor v'2 Float -> m' (Tensor Value ByteString)

tensorArrayGradV3 :: forall v'1 v'2 m'. MonadBuild m' => ByteString -> Tensor v'1 ResourceHandle -> Tensor v'2 Float -> m' (Tensor Value ResourceHandle, Tensor Value Float)
tensorArrayGradV3' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> ByteString -> Tensor v'1 ResourceHandle -> Tensor v'2 Float -> m' (Tensor Value ResourceHandle, Tensor Value Float)

tensorArrayGradWithShape :: forall v'1 v'2 v'3 m'. MonadBuild m' => ByteString -> Tensor v'1 ResourceHandle -> Tensor v'2 Float -> Tensor v'3 Int32 -> m' (Tensor Value ResourceHandle, Tensor Value Float)
tensorArrayGradWithShape' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> ByteString -> Tensor v'1 ResourceHandle -> Tensor v'2 Float -> Tensor v'3 Int32 -> m' (Tensor Value ResourceHandle, Tensor Value Float)

tensorArrayPack :: forall v'2 dtype m'. (MonadBuild m', TensorType dtype) => Tensor Ref ByteString -> Tensor v'2 Float -> m' (Tensor Value dtype)
tensorArrayPack' :: forall v'2 dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Tensor Ref ByteString -> Tensor v'2 Float -> m' (Tensor Value dtype)

tensorArrayRead :: forall v'2 v'3 dtype m'. (MonadBuild m', TensorType dtype) => Tensor Ref ByteString -> Tensor v'2 Int32 -> Tensor v'3 Float -> m' (Tensor Value dtype)
tensorArrayRead' :: forall v'2 v'3 dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Tensor Ref ByteString -> Tensor v'2 Int32 -> Tensor v'3 Float -> m' (Tensor Value dtype)

tensorArrayReadV2 :: forall v'1 v'2 v'3 dtype. TensorType dtype => Tensor v'1 ByteString -> Tensor v'2 Int32 -> Tensor v'3 Float -> Tensor Build dtype
tensorArrayReadV2' :: forall v'1 v'2 v'3 dtype. TensorType dtype => OpParams -> Tensor v'1 ByteString -> Tensor v'2 Int32 -> Tensor v'3 Float -> Tensor Build dtype

tensorArrayReadV3 :: forall v'1 v'2 v'3 dtype m'. (MonadBuild m', TensorType dtype) => Tensor v'1 ResourceHandle -> Tensor v'2 Int32 -> Tensor v'3 Float -> m' (Tensor Value dtype)
tensorArrayReadV3' :: forall v'1 v'2 v'3 dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int32 -> Tensor v'3 Float -> m' (Tensor Value dtype)

tensorArrayScatter :: forall v'2 v'3 v'4 t m'. (MonadBuild m', TensorType t) => Tensor Ref ByteString -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor v'4 Float -> m' (Tensor Value Float)
tensorArrayScatter' :: forall v'2 v'3 v'4 t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor Ref ByteString -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor v'4 Float -> m' (Tensor Value Float)

tensorArrayScatterV2 :: forall v'1 v'2 v'3 v'4 t. TensorType t => Tensor v'1 ByteString -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor v'4 Float -> Tensor Build Float
tensorArrayScatterV2' :: forall v'1 v'2 v'3 v'4 t. TensorType t => OpParams -> Tensor v'1 ByteString -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor v'4 Float -> Tensor Build Float

tensorArrayScatterV3 :: forall v'1 v'2 v'3 v'4 t m'. (MonadBuild m', TensorType t) => Tensor v'1 ResourceHandle -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor v'4 Float -> m' (Tensor Value Float)
tensorArrayScatterV3' :: forall v'1 v'2 v'3 v'4 t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor v'4 Float -> m' (Tensor Value Float)

tensorArraySize :: forall v'2 m'. MonadBuild m' => Tensor Ref ByteString -> Tensor v'2 Float -> m' (Tensor Value Int32)
tensorArraySize' :: forall v'2 m'. MonadBuild m' => OpParams -> Tensor Ref ByteString -> Tensor v'2 Float -> m' (Tensor Value Int32)

tensorArraySizeV2 :: Tensor v'1 ByteString -> Tensor v'2 Float -> Tensor Build Int32
tensorArraySizeV2' :: OpParams -> Tensor v'1 ByteString -> Tensor v'2 Float -> Tensor Build Int32

tensorArraySizeV3 :: forall v'1 v'2 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 Float -> m' (Tensor Value Int32)
tensorArraySizeV3' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Float -> m' (Tensor Value Int32)

tensorArraySplit :: forall v'2 v'3 v'4 t m'. (MonadBuild m', TensorType t) => Tensor Ref ByteString -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Float -> m' (Tensor Value Float)
tensorArraySplit' :: forall v'2 v'3 v'4 t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor Ref ByteString -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Float -> m' (Tensor Value Float)

tensorArraySplitV2 :: forall v'1 v'2 v'3 v'4 t. TensorType t => Tensor v'1 ByteString -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Float -> Tensor Build Float
tensorArraySplitV2' :: forall v'1 v'2 v'3 v'4 t. TensorType t => OpParams -> Tensor v'1 ByteString -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Float -> Tensor Build Float

tensorArraySplitV3 :: forall v'1 v'2 v'3 v'4 t m'. (MonadBuild m', TensorType t) => Tensor v'1 ResourceHandle -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Float -> m' (Tensor Value Float)
tensorArraySplitV3' :: forall v'1 v'2 v'3 v'4 t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 t -> Tensor v'3 Int64 -> Tensor v'4 Float -> m' (Tensor Value Float)

tensorArrayUnpack :: forall v'2 v'3 t m'. (MonadBuild m', TensorType t) => Tensor Ref ByteString -> Tensor v'2 t -> Tensor v'3 Float -> m' (Tensor Value Float)
tensorArrayUnpack' :: forall v'2 v'3 t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor Ref ByteString -> Tensor v'2 t -> Tensor v'3 Float -> m' (Tensor Value Float)

tensorArrayV2 :: forall v'1 m'. MonadBuild m' => DataType -> Tensor v'1 Int32 -> m' (Tensor Value ByteString)
tensorArrayV2' :: forall v'1 m'. MonadBuild m' => OpParams -> DataType -> Tensor v'1 Int32 -> m' (Tensor Value ByteString)

tensorArrayV3 :: forall v'1 m'. MonadBuild m' => DataType -> Tensor v'1 Int32 -> m' (Tensor Value ResourceHandle, Tensor Value Float)
tensorArrayV3' :: forall v'1 m'. MonadBuild m' => OpParams -> DataType -> Tensor v'1 Int32 -> m' (Tensor Value ResourceHandle, Tensor Value Float)

tensorArrayWrite :: forall v'2 v'3 v'4 t m'. (MonadBuild m', TensorType t) => Tensor Ref ByteString -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor v'4 Float -> m' (Tensor Value Float)
tensorArrayWrite' :: forall v'2 v'3 v'4 t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor Ref ByteString -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor v'4 Float -> m' (Tensor Value Float)

tensorArrayWriteV2 :: forall v'1 v'2 v'3 v'4 t. TensorType t => Tensor v'1 ByteString -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor v'4 Float -> Tensor Build Float
tensorArrayWriteV2' :: forall v'1 v'2 v'3 v'4 t. TensorType t => OpParams -> Tensor v'1 ByteString -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor v'4 Float -> Tensor Build Float

tensorArrayWriteV3 :: forall v'1 v'2 v'3 v'4 t m'. (MonadBuild m', TensorType t) => Tensor v'1 ResourceHandle -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor v'4 Float -> m' (Tensor Value Float)
tensorArrayWriteV3' :: forall v'1 v'2 v'3 v'4 t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int32 -> Tensor v'3 t -> Tensor v'4 Float -> m' (Tensor Value Float)

tensorDataset :: forall v'1 toutput_types m'. (MonadBuild m', TensorTypes toutput_types) => TensorList v'1 toutput_types -> m' (Tensor Value Variant)
tensorDataset' :: forall v'1 toutput_types m'. (MonadBuild m', TensorTypes toutput_types) => OpParams -> TensorList v'1 toutput_types -> m' (Tensor Value Variant)

tensorForestCreateTreeVariable :: forall v'1 v'2 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 ByteString -> m' ControlNode
tensorForestCreateTreeVariable' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ByteString -> m' ControlNode

tensorForestTreeDeserialize :: forall v'1 v'2 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 ByteString -> m' ControlNode
tensorForestTreeDeserialize' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 ByteString -> m' ControlNode

tensorForestTreeIsInitializedOp :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value Bool)
tensorForestTreeIsInitializedOp' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value Bool)

tensorForestTreePredict :: forall v'1 v'2 m'. MonadBuild m' => Int64 -> Tensor v'1 ResourceHandle -> Tensor v'2 Float -> m' (Tensor Value Float)
tensorForestTreePredict' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Int64 -> Tensor v'1 ResourceHandle -> Tensor v'2 Float -> m' (Tensor Value Float)

tensorForestTreeResourceHandleOp :: forall m'. MonadBuild m' => m' (Tensor Value ResourceHandle)
tensorForestTreeResourceHandleOp' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Value ResourceHandle)

tensorForestTreeSerialize :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value ByteString)
tensorForestTreeSerialize' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value ByteString)

tensorForestTreeSize :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value Int32)
tensorForestTreeSize' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value Int32)

tensorListConcat :: forall v'1 element_dtype. TensorType element_dtype => Tensor v'1 Variant -> (Tensor Build element_dtype, Tensor Build Int64)
tensorListConcat' :: forall v'1 element_dtype. TensorType element_dtype => OpParams -> Tensor v'1 Variant -> (Tensor Build element_dtype, Tensor Build Int64)

tensorListConcatLists :: DataType -> Tensor v'1 Variant -> Tensor v'2 Variant -> Tensor Build Variant
tensorListConcatLists' :: OpParams -> DataType -> Tensor v'1 Variant -> Tensor v'2 Variant -> Tensor Build Variant

tensorListConcatV2 :: forall v'1 v'2 v'3 element_dtype shape_type. (TensorType element_dtype, OneOf '[Int32, Int64] shape_type) => Tensor v'1 Variant -> Tensor v'2 shape_type -> Tensor v'3 Int64 -> (Tensor Build element_dtype, Tensor Build Int64)
tensorListConcatV2' :: forall v'1 v'2 v'3 element_dtype shape_type. (TensorType element_dtype, OneOf '[Int32, Int64] shape_type) => OpParams -> Tensor v'1 Variant -> Tensor v'2 shape_type -> Tensor v'3 Int64 -> (Tensor Build element_dtype, Tensor Build Int64)

tensorListElementShape :: forall v'1 shape_type. OneOf '[Int32, Int64] shape_type => Tensor v'1 Variant -> Tensor Build shape_type
tensorListElementShape' :: forall v'1 shape_type. OneOf '[Int32, Int64] shape_type => OpParams -> Tensor v'1 Variant -> Tensor Build shape_type

tensorListFromTensor :: forall v'1 v'2 element_dtype shape_type. (TensorType element_dtype, OneOf '[Int32, Int64] shape_type) => Tensor v'1 element_dtype -> Tensor v'2 shape_type -> Tensor Build Variant
tensorListFromTensor' :: forall v'1 v'2 element_dtype shape_type. (TensorType element_dtype, OneOf '[Int32, Int64] shape_type) => OpParams -> Tensor v'1 element_dtype -> Tensor v'2 shape_type -> Tensor Build Variant

tensorListGather :: forall v'1 v'2 v'3 element_dtype. TensorType element_dtype => Tensor v'1 Variant -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor Build element_dtype
tensorListGather' :: forall v'1 v'2 v'3 element_dtype. TensorType element_dtype => OpParams -> Tensor v'1 Variant -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor Build element_dtype

tensorListGetItem :: forall v'1 v'2 v'3 element_dtype. TensorType element_dtype => Tensor v'1 Variant -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor Build element_dtype
tensorListGetItem' :: forall v'1 v'2 v'3 element_dtype. TensorType element_dtype => OpParams -> Tensor v'1 Variant -> Tensor v'2 Int32 -> Tensor v'3 Int32 -> Tensor Build element_dtype

tensorListLength :: Tensor v'1 Variant -> Tensor Build Int32
tensorListLength' :: OpParams -> Tensor v'1 Variant -> Tensor Build Int32

tensorListPopBack :: forall v'1 v'2 element_dtype. TensorType element_dtype => Tensor v'1 Variant -> Tensor v'2 Int32 -> (Tensor Build Variant, Tensor Build element_dtype)
tensorListPopBack' :: forall v'1 v'2 element_dtype. TensorType element_dtype => OpParams -> Tensor v'1 Variant -> Tensor v'2 Int32 -> (Tensor Build Variant, Tensor Build element_dtype)

tensorListPushBack :: forall v'1 v'2 element_dtype. TensorType element_dtype => Tensor v'1 Variant -> Tensor v'2 element_dtype -> Tensor Build Variant
tensorListPushBack' :: forall v'1 v'2 element_dtype. TensorType element_dtype => OpParams -> Tensor v'1 Variant -> Tensor v'2 element_dtype -> Tensor Build Variant

tensorListPushBackBatch :: forall v'1 v'2 element_dtype. TensorType element_dtype => Tensor v'1 Variant -> Tensor v'2 element_dtype -> Tensor Build Variant
tensorListPushBackBatch' :: forall v'1 v'2 element_dtype. TensorType element_dtype => OpParams -> Tensor v'1 Variant -> Tensor v'2 element_dtype -> Tensor Build Variant

tensorListReserve :: forall v'1 v'2 shape_type. OneOf '[Int32, Int64] shape_type => DataType -> Tensor v'1 shape_type -> Tensor v'2 Int32 -> Tensor Build Variant
tensorListReserve' :: forall v'1 v'2 shape_type. OneOf '[Int32, Int64] shape_type => OpParams -> DataType -> Tensor v'1 shape_type -> Tensor v'2 Int32 -> Tensor Build Variant

tensorListResize :: Tensor v'1 Variant -> Tensor v'2 Int32 -> Tensor Build Variant
tensorListResize' :: OpParams -> Tensor v'1 Variant -> Tensor v'2 Int32 -> Tensor Build Variant

tensorListScatter :: forall v'1 v'2 v'3 element_dtype shape_type. (TensorType element_dtype, OneOf '[Int32, Int64] shape_type) => Tensor v'1 element_dtype -> Tensor v'2 Int32 -> Tensor v'3 shape_type -> Tensor Build Variant
tensorListScatter' :: forall v'1 v'2 v'3 element_dtype shape_type. (TensorType element_dtype, OneOf '[Int32, Int64] shape_type) => OpParams -> Tensor v'1 element_dtype -> Tensor v'2 Int32 -> Tensor v'3 shape_type -> Tensor Build Variant

tensorListScatterIntoExistingList :: forall v'1 v'2 v'3 element_dtype. TensorType element_dtype => Tensor v'1 Variant -> Tensor v'2 element_dtype -> Tensor v'3 Int32 -> Tensor Build Variant
tensorListScatterIntoExistingList' :: forall v'1 v'2 v'3 element_dtype. TensorType element_dtype => OpParams -> Tensor v'1 Variant -> Tensor v'2 element_dtype -> Tensor v'3 Int32 -> Tensor Build Variant

tensorListScatterV2 :: forall v'1 v'2 v'3 v'4 element_dtype shape_type. (TensorType element_dtype, OneOf '[Int32, Int64] shape_type) => Tensor v'1 element_dtype -> Tensor v'2 Int32 -> Tensor v'3 shape_type -> Tensor v'4 Int32 -> Tensor Build Variant
tensorListScatterV2' :: forall v'1 v'2 v'3 v'4 element_dtype shape_type. (TensorType element_dtype, OneOf '[Int32, Int64] shape_type) => OpParams -> Tensor v'1 element_dtype -> Tensor v'2 Int32 -> Tensor v'3 shape_type -> Tensor v'4 Int32 -> Tensor Build Variant

tensorListSetItem :: forall v'1 v'2 v'3 element_dtype. TensorType element_dtype => Tensor v'1 Variant -> Tensor v'2 Int32 -> Tensor v'3 element_dtype -> Tensor Build Variant
tensorListSetItem' :: forall v'1 v'2 v'3 element_dtype. TensorType element_dtype => OpParams -> Tensor v'1 Variant -> Tensor v'2 Int32 -> Tensor v'3 element_dtype -> Tensor Build Variant

tensorListSplit :: forall v'1 v'2 v'3 element_dtype shape_type. (TensorType element_dtype, OneOf '[Int32, Int64] shape_type) => Tensor v'1 element_dtype -> Tensor v'2 shape_type -> Tensor v'3 Int64 -> Tensor Build Variant
tensorListSplit' :: forall v'1 v'2 v'3 element_dtype shape_type. (TensorType element_dtype, OneOf '[Int32, Int64] shape_type) => OpParams -> Tensor v'1 element_dtype -> Tensor v'2 shape_type -> Tensor v'3 Int64 -> Tensor Build Variant

tensorListStack :: forall v'1 v'2 element_dtype. TensorType element_dtype => Tensor v'1 Variant -> Tensor v'2 Int32 -> Tensor Build element_dtype
tensorListStack' :: forall v'1 v'2 element_dtype. TensorType element_dtype => OpParams -> Tensor v'1 Variant -> Tensor v'2 Int32 -> Tensor Build element_dtype

tensorScatterAdd :: forall v'1 v'2 v'3 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 t -> Tensor Build t
tensorScatterAdd' :: forall v'1 v'2 v'3 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 t -> Tensor Build t

tensorScatterMax :: forall v'1 v'2 v'3 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 t -> Tensor Build t
tensorScatterMax' :: forall v'1 v'2 v'3 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 t -> Tensor Build t

tensorScatterMin :: forall v'1 v'2 v'3 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 t -> Tensor Build t
tensorScatterMin' :: forall v'1 v'2 v'3 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 t -> Tensor Build t

tensorScatterSub :: forall v'1 v'2 v'3 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 t -> Tensor Build t
tensorScatterSub' :: forall v'1 v'2 v'3 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 t -> Tensor Build t

tensorScatterUpdate :: forall v'1 v'2 v'3 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 t -> Tensor Build t
tensorScatterUpdate' :: forall v'1 v'2 v'3 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 t -> Tensor Build t

tensorSliceDataset :: forall v'1 toutput_types m'. (MonadBuild m', TensorTypes toutput_types) => TensorList v'1 toutput_types -> m' (Tensor Value Variant)
tensorSliceDataset' :: forall v'1 toutput_types m'. (MonadBuild m', TensorTypes toutput_types) => OpParams -> TensorList v'1 toutput_types -> m' (Tensor Value Variant)

tensorStridedSliceUpdate :: forall v'1 v'2 v'3 v'4 v'5 t index. (TensorType t, OneOf '[Int32, Int64] index) => Tensor v'1 t -> Tensor v'2 index -> Tensor v'3 index -> Tensor v'4 index -> Tensor v'5 t -> Tensor Build t
tensorStridedSliceUpdate' :: forall v'1 v'2 v'3 v'4 v'5 t index. (TensorType t, OneOf '[Int32, Int64] index) => OpParams -> Tensor v'1 t -> Tensor v'2 index -> Tensor v'3 index -> Tensor v'4 index -> Tensor v'5 t -> Tensor Build t

tensorSummary :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build ByteString
tensorSummary' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build ByteString

tensorSummaryV2 :: forall v'1 v'2 v'3 t. TensorType t => Tensor v'1 ByteString -> Tensor v'2 t -> Tensor v'3 ByteString -> Tensor Build ByteString
tensorSummaryV2' :: forall v'1 v'2 v'3 t. TensorType t => OpParams -> Tensor v'1 ByteString -> Tensor v'2 t -> Tensor v'3 ByteString -> Tensor Build ByteString

textLineDataset :: forall v'1 v'2 v'3 m'. MonadBuild m' => Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 Int64 -> m' (Tensor Value Variant)
textLineDataset' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 Int64 -> m' (Tensor Value Variant)

textLineReader :: forall m'. MonadBuild m' => m' (Tensor Ref ByteString)
textLineReader' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Ref ByteString)

textLineReaderV2 :: forall m'. MonadBuild m' => m' (Tensor Value ResourceHandle)
textLineReaderV2' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Value ResourceHandle)

threadPoolDataset :: forall v'1 v'2 m'. MonadBuild m' => [DataType] -> Tensor v'1 Variant -> Tensor v'2 ResourceHandle -> m' (Tensor Value Variant)
threadPoolDataset' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 ResourceHandle -> m' (Tensor Value Variant)

threadPoolHandle :: forall m'. MonadBuild m' => ByteString -> Int64 -> m' (Tensor Value ResourceHandle)
threadPoolHandle' :: forall m'. MonadBuild m' => OpParams -> ByteString -> Int64 -> m' (Tensor Value ResourceHandle)

threadUnsafeUnigramCandidateSampler :: forall v'1 m'. MonadBuild m' => Int64 -> Int64 -> Int64 -> Bool -> Tensor v'1 Int64 -> m' (Tensor Value Int64, Tensor Value Float, Tensor Value Float)
threadUnsafeUnigramCandidateSampler' :: forall v'1 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Int64 -> Bool -> Tensor v'1 Int64 -> m' (Tensor Value Int64, Tensor Value Float, Tensor Value Float)

tile :: forall v'1 v'2 t tmultiples. (TensorType t, OneOf '[Int32, Int64] tmultiples) => Tensor v'1 t -> Tensor v'2 tmultiples -> Tensor Build t
tile' :: forall v'1 v'2 t tmultiples. (TensorType t, OneOf '[Int32, Int64] tmultiples) => OpParams -> Tensor v'1 t -> Tensor v'2 tmultiples -> Tensor Build t

tileGrad :: forall v'1 v'2 t. TensorType t => Tensor v'1 t -> Tensor v'2 Int32 -> Tensor Build t
tileGrad' :: forall v'1 v'2 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> Tensor Build t

timestamp :: forall m'. MonadBuild m' => m' (Tensor Value Double)
timestamp' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Value Double)

toBool :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build Bool
toBool' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build Bool

topK :: forall v'1 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Int64 -> Tensor v'1 t -> (Tensor Build t, Tensor Build Int32)
topK' :: forall v'1 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Int64 -> Tensor v'1 t -> (Tensor Build t, Tensor Build Int32)

topKV2 :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 Int32 -> (Tensor Build t, Tensor Build Int32)
topKV2' :: forall v'1 v'2 t. OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 Int32 -> (Tensor Build t, Tensor Build Int32)

transpose :: forall v'1 v'2 t tperm. (TensorType t, OneOf '[Int32, Int64] tperm) => Tensor v'1 t -> Tensor v'2 tperm -> Tensor Build t
transpose' :: forall v'1 v'2 t tperm. (TensorType t, OneOf '[Int32, Int64] tperm) => OpParams -> Tensor v'1 t -> Tensor v'2 tperm -> Tensor Build t

tridiagonalMatMul :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor Build t
tridiagonalMatMul' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 t -> Tensor v'4 t -> Tensor Build t

tridiagonalSolve :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
tridiagonalSolve' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

truncateDiv :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
truncateDiv' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

truncateMod :: forall v'1 v'2 t. OneOf '[Int32, Int64, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
truncateMod' :: forall v'1 v'2 t. OneOf '[Int32, Int64, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

truncatedNormal :: forall v'1 dtype t m'. (MonadBuild m', OneOf '[Word16, Double, Float] dtype, OneOf '[Int32, Int64] t) => Tensor v'1 t -> m' (Tensor Value dtype)
truncatedNormal' :: forall v'1 dtype t m'. (MonadBuild m', OneOf '[Word16, Double, Float] dtype, OneOf '[Int32, Int64] t) => OpParams -> Tensor v'1 t -> m' (Tensor Value dtype)

tryRpc :: forall v'1 v'2 v'3 m'. MonadBuild m' => Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> m' (Tensor Value ByteString, Tensor Value Int32, Tensor Value ByteString)
tryRpc' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> Tensor v'3 ByteString -> m' (Tensor Value ByteString, Tensor Value Int32, Tensor Value ByteString)

unbatch :: forall v'1 v'2 v'3 t. TensorType t => Int64 -> Tensor v'1 t -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor Build t
unbatch' :: forall v'1 v'2 v'3 t. TensorType t => OpParams -> Int64 -> Tensor v'1 t -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor Build t

unbatchDataset :: [DataType] -> Tensor v'1 Variant -> Tensor Build Variant
unbatchDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor Build Variant

unbatchGrad :: forall v'1 v'2 v'3 v'4 t. TensorType t => Tensor v'1 t -> Tensor v'2 Int64 -> Tensor v'3 t -> Tensor v'4 Int64 -> Tensor Build t
unbatchGrad' :: forall v'1 v'2 v'3 v'4 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor v'2 Int64 -> Tensor v'3 t -> Tensor v'4 Int64 -> Tensor Build t

uncompressElement :: forall v'1 output_types. TensorTypes output_types => Tensor v'1 Variant -> TensorList Build output_types
uncompressElement' :: forall v'1 output_types. TensorTypes output_types => OpParams -> Tensor v'1 Variant -> TensorList Build output_types

unicodeDecode :: forall v'1 tsplits. OneOf '[Int32, Int64] tsplits => ByteString -> Tensor v'1 ByteString -> (Tensor Build tsplits, Tensor Build Int32)
unicodeDecode' :: forall v'1 tsplits. OneOf '[Int32, Int64] tsplits => OpParams -> ByteString -> Tensor v'1 ByteString -> (Tensor Build tsplits, Tensor Build Int32)

unicodeDecodeWithOffsets :: forall v'1 tsplits. OneOf '[Int32, Int64] tsplits => ByteString -> Tensor v'1 ByteString -> (Tensor Build tsplits, Tensor Build Int32, Tensor Build Int64)
unicodeDecodeWithOffsets' :: forall v'1 tsplits. OneOf '[Int32, Int64] tsplits => OpParams -> ByteString -> Tensor v'1 ByteString -> (Tensor Build tsplits, Tensor Build Int32, Tensor Build Int64)

unicodeEncode :: forall v'1 v'2 tsplits. OneOf '[Int32, Int64] tsplits => ByteString -> Tensor v'1 Int32 -> Tensor v'2 tsplits -> Tensor Build ByteString
unicodeEncode' :: forall v'1 v'2 tsplits. OneOf '[Int32, Int64] tsplits => OpParams -> ByteString -> Tensor v'1 Int32 -> Tensor v'2 tsplits -> Tensor Build ByteString

unicodeScript :: Tensor v'1 Int32 -> Tensor Build Int32
unicodeScript' :: OpParams -> Tensor v'1 Int32 -> Tensor Build Int32

unicodeTranscode :: ByteString -> ByteString -> Tensor v'1 ByteString -> Tensor Build ByteString
unicodeTranscode' :: OpParams -> ByteString -> ByteString -> Tensor v'1 ByteString -> Tensor Build ByteString

uniformCandidateSampler :: forall v'1 m'. MonadBuild m' => Int64 -> Int64 -> Int64 -> Bool -> Tensor v'1 Int64 -> m' (Tensor Value Int64, Tensor Value Float, Tensor Value Float)
uniformCandidateSampler' :: forall v'1 m'. MonadBuild m' => OpParams -> Int64 -> Int64 -> Int64 -> Bool -> Tensor v'1 Int64 -> m' (Tensor Value Int64, Tensor Value Float, Tensor Value Float)

unique :: forall v'1 t out_idx. (TensorType t, OneOf '[Int32, Int64] out_idx) => Tensor v'1 t -> (Tensor Build t, Tensor Build out_idx)
unique' :: forall v'1 t out_idx. (TensorType t, OneOf '[Int32, Int64] out_idx) => OpParams -> Tensor v'1 t -> (Tensor Build t, Tensor Build out_idx)

uniqueDataset :: [DataType] -> Tensor v'1 Variant -> Tensor Build Variant
uniqueDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor Build Variant

uniqueV2 :: forall v'1 v'2 t taxis out_idx. (TensorType t, OneOf '[Int32, Int64] taxis, OneOf '[Int32, Int64] out_idx) => Tensor v'1 t -> Tensor v'2 taxis -> (Tensor Build t, Tensor Build out_idx)
uniqueV2' :: forall v'1 v'2 t taxis out_idx. (TensorType t, OneOf '[Int32, Int64] taxis, OneOf '[Int32, Int64] out_idx) => OpParams -> Tensor v'1 t -> Tensor v'2 taxis -> (Tensor Build t, Tensor Build out_idx)

uniqueWithCounts :: forall v'1 t out_idx. (TensorType t, OneOf '[Int32, Int64] out_idx) => Tensor v'1 t -> (Tensor Build t, Tensor Build out_idx, Tensor Build out_idx)
uniqueWithCounts' :: forall v'1 t out_idx. (TensorType t, OneOf '[Int32, Int64] out_idx) => OpParams -> Tensor v'1 t -> (Tensor Build t, Tensor Build out_idx, Tensor Build out_idx)

uniqueWithCountsV2 :: forall v'1 v'2 t taxis out_idx. (TensorType t, OneOf '[Int32, Int64] taxis, OneOf '[Int32, Int64] out_idx) => Tensor v'1 t -> Tensor v'2 taxis -> (Tensor Build t, Tensor Build out_idx, Tensor Build out_idx)
uniqueWithCountsV2' :: forall v'1 v'2 t taxis out_idx. (TensorType t, OneOf '[Int32, Int64] taxis, OneOf '[Int32, Int64] out_idx) => OpParams -> Tensor v'1 t -> Tensor v'2 taxis -> (Tensor Build t, Tensor Build out_idx, Tensor Build out_idx)

unpack :: forall v'1 t. TensorType t => Int64 -> Tensor v'1 t -> [Tensor Build t]
unpack' :: forall v'1 t. TensorType t => OpParams -> Int64 -> Tensor v'1 t -> [Tensor Build t]

unravelIndex :: forall v'1 v'2 tidx. OneOf '[Int32, Int64] tidx => Tensor v'1 tidx -> Tensor v'2 tidx -> Tensor Build tidx
unravelIndex' :: forall v'1 v'2 tidx. OneOf '[Int32, Int64] tidx => OpParams -> Tensor v'1 tidx -> Tensor v'2 tidx -> Tensor Build tidx

unsortedSegmentJoin :: forall v'1 v'2 v'3 tindices tnumsegments. (OneOf '[Int32, Int64] tindices, OneOf '[Int32, Int64] tnumsegments) => Tensor v'1 ByteString -> Tensor v'2 tindices -> Tensor v'3 tnumsegments -> Tensor Build ByteString
unsortedSegmentJoin' :: forall v'1 v'2 v'3 tindices tnumsegments. (OneOf '[Int32, Int64] tindices, OneOf '[Int32, Int64] tnumsegments) => OpParams -> Tensor v'1 ByteString -> Tensor v'2 tindices -> Tensor v'3 tnumsegments -> Tensor Build ByteString

unsortedSegmentMax :: forall v'1 v'2 v'3 t tindices tnumsegments. (OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices, OneOf '[Int32, Int64] tnumsegments) => Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 tnumsegments -> Tensor Build t
unsortedSegmentMax' :: forall v'1 v'2 v'3 t tindices tnumsegments. (OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices, OneOf '[Int32, Int64] tnumsegments) => OpParams -> Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 tnumsegments -> Tensor Build t

unsortedSegmentMin :: forall v'1 v'2 v'3 t tindices tnumsegments. (OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices, OneOf '[Int32, Int64] tnumsegments) => Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 tnumsegments -> Tensor Build t
unsortedSegmentMin' :: forall v'1 v'2 v'3 t tindices tnumsegments. (OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices, OneOf '[Int32, Int64] tnumsegments) => OpParams -> Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 tnumsegments -> Tensor Build t

unsortedSegmentProd :: forall v'1 v'2 v'3 t tindices tnumsegments. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices, OneOf '[Int32, Int64] tnumsegments) => Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 tnumsegments -> Tensor Build t
unsortedSegmentProd' :: forall v'1 v'2 v'3 t tindices tnumsegments. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices, OneOf '[Int32, Int64] tnumsegments) => OpParams -> Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 tnumsegments -> Tensor Build t

unsortedSegmentSum :: forall v'1 v'2 v'3 t tindices tnumsegments. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices, OneOf '[Int32, Int64] tnumsegments) => Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 tnumsegments -> Tensor Build t
unsortedSegmentSum' :: forall v'1 v'2 v'3 t tindices tnumsegments. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices, OneOf '[Int32, Int64] tnumsegments) => OpParams -> Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 tnumsegments -> Tensor Build t

unstage :: forall dtypes m'. (MonadBuild m', TensorTypes dtypes) => m' (TensorList Value dtypes)
unstage' :: forall dtypes m'. (MonadBuild m', TensorTypes dtypes) => OpParams -> m' (TensorList Value dtypes)

unwrapDatasetVariant :: Tensor v'1 Variant -> Tensor Build Variant
unwrapDatasetVariant' :: OpParams -> Tensor v'1 Variant -> Tensor Build Variant

upperBound :: forall v'1 v'2 t out_type. (TensorType t, OneOf '[Int32, Int64] out_type) => Tensor v'1 t -> Tensor v'2 t -> Tensor Build out_type
upperBound' :: forall v'1 v'2 t out_type. (TensorType t, OneOf '[Int32, Int64] out_type) => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build out_type

varHandleOp :: forall m'. MonadBuild m' => DataType -> Shape -> m' (Tensor Value ResourceHandle)
varHandleOp' :: forall m'. MonadBuild m' => OpParams -> DataType -> Shape -> m' (Tensor Value ResourceHandle)

varIsInitializedOp :: forall v'1 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> m' (Tensor Value Bool)
varIsInitializedOp' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value Bool)

variable :: forall dtype m'. (MonadBuild m', TensorType dtype) => Shape -> m' (Tensor Ref dtype)
variable' :: forall dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Shape -> m' (Tensor Ref dtype)

variableShape :: forall v'1 out_type m'. (MonadBuild m', OneOf '[Int32, Int64] out_type) => Tensor v'1 ResourceHandle -> m' (Tensor Value out_type)
variableShape' :: forall v'1 out_type m'. (MonadBuild m', OneOf '[Int32, Int64] out_type) => OpParams -> Tensor v'1 ResourceHandle -> m' (Tensor Value out_type)

variableV2 :: forall dtype m'. (MonadBuild m', TensorType dtype) => Shape -> m' (Tensor Ref dtype)
variableV2' :: forall dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Shape -> m' (Tensor Ref dtype)

where' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Bool, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Tensor v'1 t -> Tensor Build Int64
where'' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Bool, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build Int64

wholeFileReader :: forall m'. MonadBuild m' => m' (Tensor Ref ByteString)
wholeFileReader' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Ref ByteString)

wholeFileReaderV2 :: forall m'. MonadBuild m' => m' (Tensor Value ResourceHandle)
wholeFileReaderV2' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Value ResourceHandle)

windowDataset :: [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 Bool -> Tensor Build Variant
windowDataset' :: OpParams -> [DataType] -> Tensor v'1 Variant -> Tensor v'2 Int64 -> Tensor v'3 Int64 -> Tensor v'4 Int64 -> Tensor v'5 Bool -> Tensor Build Variant

workerHeartbeat :: forall v'1 m'. MonadBuild m' => Tensor v'1 ByteString -> m' (Tensor Value ByteString)
workerHeartbeat' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ByteString -> m' (Tensor Value ByteString)

wrapDatasetVariant :: Tensor v'1 Variant -> Tensor Build Variant
wrapDatasetVariant' :: OpParams -> Tensor v'1 Variant -> Tensor Build Variant

writeAudioSummary :: forall v'1 v'2 v'3 v'4 v'5 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 ByteString -> Tensor v'4 Float -> Tensor v'5 Float -> m' ControlNode
writeAudioSummary' :: forall v'1 v'2 v'3 v'4 v'5 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 ByteString -> Tensor v'4 Float -> Tensor v'5 Float -> m' ControlNode

writeFile :: forall v'1 v'2 m'. MonadBuild m' => Tensor v'1 ByteString -> Tensor v'2 ByteString -> m' ControlNode
writeFile' :: forall v'1 v'2 m'. MonadBuild m' => OpParams -> Tensor v'1 ByteString -> Tensor v'2 ByteString -> m' ControlNode

writeGraphSummary :: forall v'1 v'2 v'3 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 ByteString -> m' ControlNode
writeGraphSummary' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 ByteString -> m' ControlNode

writeHistogramSummary :: forall v'1 v'2 v'3 v'4 t m'. (MonadBuild m', OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 ByteString -> Tensor v'4 t -> m' ControlNode
writeHistogramSummary' :: forall v'1 v'2 v'3 v'4 t m'. (MonadBuild m', OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 ByteString -> Tensor v'4 t -> m' ControlNode

writeImageSummary :: forall v'1 v'2 v'3 v'4 v'5 t m'. (MonadBuild m', OneOf '[Word16, Word8, Float] t) => Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 ByteString -> Tensor v'4 t -> Tensor v'5 Word8 -> m' ControlNode
writeImageSummary' :: forall v'1 v'2 v'3 v'4 v'5 t m'. (MonadBuild m', OneOf '[Word16, Word8, Float] t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 ByteString -> Tensor v'4 t -> Tensor v'5 Word8 -> m' ControlNode

writeRawProtoSummary :: forall v'1 v'2 v'3 m'. MonadBuild m' => Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 ByteString -> m' ControlNode
writeRawProtoSummary' :: forall v'1 v'2 v'3 m'. MonadBuild m' => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 ByteString -> m' ControlNode

writeScalarSummary :: forall v'1 v'2 v'3 v'4 t m'. (MonadBuild m', OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 ByteString -> Tensor v'4 t -> m' ControlNode
writeScalarSummary' :: forall v'1 v'2 v'3 v'4 t m'. (MonadBuild m', OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 ByteString -> Tensor v'4 t -> m' ControlNode

writeSummary :: forall v'1 v'2 v'3 v'4 v'5 t m'. (MonadBuild m', TensorType t) => Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 t -> Tensor v'4 ByteString -> Tensor v'5 ByteString -> m' ControlNode
writeSummary' :: forall v'1 v'2 v'3 v'4 v'5 t m'. (MonadBuild m', TensorType t) => OpParams -> Tensor v'1 ResourceHandle -> Tensor v'2 Int64 -> Tensor v'3 t -> Tensor v'4 ByteString -> Tensor v'5 ByteString -> m' ControlNode

xdivy :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
xdivy' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

-- | Helper operator for performing XLA-style broadcasts
--   
--   Broadcasts <tt>lhs</tt> and <tt>rhs</tt> to the same rank, by adding
--   size 1 dimensions to whichever of <tt>lhs</tt> and <tt>rhs</tt> has
--   the lower rank, using XLA's broadcasting rules for binary operators.
xlaBroadcastHelper :: forall v'1 v'2 v'3 t tindices. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 tindices -> (Tensor Build t, Tensor Build t)
xlaBroadcastHelper' :: forall v'1 v'2 v'3 t tindices. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 tindices -> (Tensor Build t, Tensor Build t)

-- | Operator that connects the output of an XLA computation to other
--   consumer graph nodes.
xlaClusterOutput :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build t
xlaClusterOutput' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build t

-- | Wraps the XLA ConvGeneralDilated operator, documented at
--   
--   
--   <a>https://www.tensorflow.org/performance/xla/operation_semantics#conv_convolution</a>
--   .
xlaConv :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 t tindices. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => ByteString -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 tindices -> Tensor v'4 tindices -> Tensor v'5 tindices -> Tensor v'6 tindices -> Tensor v'7 tindices -> Tensor Build t
xlaConv' :: forall v'1 v'2 v'3 v'4 v'5 v'6 v'7 t tindices. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> ByteString -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 tindices -> Tensor v'4 tindices -> Tensor v'5 tindices -> Tensor v'6 tindices -> Tensor v'7 tindices -> Tensor Build t

-- | Takes the packed uint32 input and unpacks the input to uint8 to do
--   
--   Dequantization on device.
xlaDequantize :: forall v'1 m'. MonadBuild m' => Float -> Float -> ByteString -> Bool -> Tensor v'1 Word32 -> m' (Tensor Value Word16)
xlaDequantize' :: forall v'1 m'. MonadBuild m' => OpParams -> Float -> Float -> ByteString -> Bool -> Tensor v'1 Word32 -> m' (Tensor Value Word16)

-- | Wraps the XLA DotGeneral operator, documented at
--   
--   
--   <a>https://www.tensorflow.org/performance/xla/operation_semantics#dotgeneral</a>
--   .
xlaDot :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => ByteString -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
xlaDot' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> ByteString -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

-- | Wraps the XLA DynamicSlice operator, documented at
--   
--   
--   <a>https://www.tensorflow.org/performance/xla/operation_semantics#dynamicslice</a>
--   .
--   
--   DynamicSlice extracts a sub-array from the input array at dynamic
--   start_indices. The size of the slice in each dimension is passed in
--   size_indices, which specify the end point of exclusive slice intervals
--   in each dimension -- [start, start + size). The shape of start_indices
--   must have rank 1, with dimension size equal to the rank of operand.
xlaDynamicSlice :: forall v'1 v'2 v'3 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 tindices -> Tensor Build t
xlaDynamicSlice' :: forall v'1 v'2 v'3 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 tindices -> Tensor Build t

-- | Wraps the XLA DynamicUpdateSlice operator, documented at
--   
--   
--   <a>https://www.tensorflow.org/performance/xla/operation_semantics#dynamicupdateslice</a>
--   .
--   
--   XlaDynamicUpdateSlice generates a result which is the value of the
--   <tt>input</tt> operand, with a slice update overwritten at
--   <tt>indices</tt>. The shape of <tt>update</tt> determines the shape of
--   the sub-array of the result which is updated. The shape of indices
--   must be rank == 1, with dimension size equal to the rank of
--   <tt>input</tt>.
--   
--   Handling of out-of-bounds slice indices is implementation-defined.
xlaDynamicUpdateSlice :: forall v'1 v'2 v'3 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 tindices -> Tensor Build t
xlaDynamicUpdateSlice' :: forall v'1 v'2 v'3 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 tindices -> Tensor Build t

-- | An op which supports basic einsum op with 2 inputs and 1 output.
--   
--   This op has better TPU performance since it doesn't have explicitly
--   reshape and transpose operations as tf.einsum does.
xlaEinsum :: forall v'1 v'2 t. OneOf '[Complex Float, Word16, Float] t => ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
xlaEinsum' :: forall v'1 v'2 t. OneOf '[Complex Float, Word16, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

-- | Wraps the XLA Gather operator documented at
--   
--   <a>https://www.tensorflow.org/xla/operation_semantics#gather</a>
xlaGather :: forall v'1 v'2 v'3 t tindices. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => ByteString -> Bool -> Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 tindices -> Tensor Build t
xlaGather' :: forall v'1 v'2 v'3 t tindices. (OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t, OneOf '[Int32, Int64] tindices) => OpParams -> ByteString -> Bool -> Tensor v'1 t -> Tensor v'2 tindices -> Tensor v'3 tindices -> Tensor Build t

-- | Wraps the XLA Sort operator, documented at
--   
--   
--   <a>https://www.tensorflow.org/performance/xla/operation_semantics#sort</a>
--   .
--   
--   Sorts a tensor. Currently only sorts in ascending order are supported.
xlaKeyValueSort :: forall v'1 v'2 k v. (OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] k, TensorType v) => Tensor v'1 k -> Tensor v'2 v -> (Tensor Build k, Tensor Build v)
xlaKeyValueSort' :: forall v'1 v'2 k v. (OneOf '[Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] k, TensorType v) => OpParams -> Tensor v'1 k -> Tensor v'2 v -> (Tensor Build k, Tensor Build v)

-- | Wraps the XLA Pad operator, documented at
--   
--   
--   <a>https://www.tensorflow.org/performance/xla/operation_semantics#pad</a>
--   .
xlaPad :: forall v'1 v'2 v'3 v'4 v'5 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 tindices -> Tensor v'4 tindices -> Tensor v'5 tindices -> Tensor Build t
xlaPad' :: forall v'1 v'2 v'3 v'4 v'5 t tindices. (TensorType t, OneOf '[Int32, Int64] tindices) => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 tindices -> Tensor v'4 tindices -> Tensor v'5 tindices -> Tensor Build t

-- | Receives the named tensor from another XLA computation. Wraps the XLA
--   Recv
--   
--   operator documented at
--   <a>https://www.tensorflow.org/performance/xla/operation_semantics#recv</a>
--   .
xlaRecv :: forall dtype m'. (MonadBuild m', TensorType dtype) => Shape -> ByteString -> m' (Tensor Value dtype)
xlaRecv' :: forall dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Shape -> ByteString -> m' (Tensor Value dtype)

-- | Replica ID.
xlaReplicaId :: Tensor Build Int32
xlaReplicaId' :: OpParams -> Tensor Build Int32

-- | Computes the eigen decomposition of a batch of self-adjoint matrices
--   
--   (Note: Only real inputs are supported).
--   
--   Computes the eigenvalues and eigenvectors of the innermost N-by-N
--   matrices in tensor such that tensor[...,:,:] * v[..., :,i] = e[..., i]
--   * v[...,:,i], for i=0...N-1.
xlaSelfAdjointEig :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Float -> Bool -> Int64 -> Tensor v'1 t -> (Tensor Build t, Tensor Build t)
xlaSelfAdjointEig' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Float -> Bool -> Int64 -> Tensor v'1 t -> (Tensor Build t, Tensor Build t)

-- | Sends the named tensor to another XLA computation. Wraps the XLA Send
--   operator
--   
--   documented at
--   <a>https://www.tensorflow.org/performance/xla/operation_semantics#send</a>
--   .
xlaSend :: forall v'1 t m'. (MonadBuild m', TensorType t) => ByteString -> Tensor v'1 t -> m' ControlNode
xlaSend' :: forall v'1 t m'. (MonadBuild m', TensorType t) => OpParams -> ByteString -> Tensor v'1 t -> m' ControlNode

-- | An op which shards the input based on the given sharding attribute.
xlaSharding :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build t
xlaSharding' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build t

-- | Wraps the XLA Sort operator, documented at
--   
--   
--   <a>https://www.tensorflow.org/performance/xla/operation_semantics#sort</a>
--   .
--   
--   Sorts a tensor. Currently only sorts in ascending order are supported.
xlaSort :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build t
xlaSort' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build t

-- | An op used by XLA SPMD partitioner to switch from automatic
--   partitioning to
--   
--   manual partitioning. It annotates the input (full-shape, to be
--   automatically partitioned) with the same sharding used by manual
--   partitioning, and outputs a shard-shaped tensor to be consumed by
--   later manually-partitioned ops. If the shape is not evenly
--   partitionable, the padding region will be masked with 0s.
xlaSpmdFullToShardShape :: forall v'1 t. TensorType t => ByteString -> Tensor v'1 t -> Tensor Build t
xlaSpmdFullToShardShape' :: forall v'1 t. TensorType t => OpParams -> ByteString -> Tensor v'1 t -> Tensor Build t

-- | An op used by XLA SPMD partitioner to switch from manual partitioning
--   to
--   
--   automatic partitioning. It converts the shard-shaped, manually
--   partitioned input into full-shaped tensor to be partitioned
--   automatically with the same sharding used by manual partitioning.
xlaSpmdShardToFullShape :: forall v'1 t. TensorType t => Shape -> ByteString -> Tensor v'1 t -> Tensor Build t
xlaSpmdShardToFullShape' :: forall v'1 t. TensorType t => OpParams -> Shape -> ByteString -> Tensor v'1 t -> Tensor Build t

-- | Computes the eigen decomposition of a batch of self-adjoint matrices
--   
--   (Note: Only real inputs are supported).
--   
--   Computes the eigenvalues and eigenvectors of the innermost M-by-N
--   matrices in tensor such that tensor[...,:,:] = u[..., :, :] *
--   Diag(s[..., :]) * Transpose(v[...,:,:]).
xlaSvd :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => Float -> Int64 -> ByteString -> Tensor v'1 t -> (Tensor Build t, Tensor Build t, Tensor Build t)
xlaSvd' :: forall v'1 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word32, Word64, Word8, Double, Float] t => OpParams -> Float -> Int64 -> ByteString -> Tensor v'1 t -> (Tensor Build t, Tensor Build t, Tensor Build t)

xlog1py :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
xlog1py' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

xlogy :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
xlogy' :: forall v'1 v'2 t. OneOf '[Complex Double, Complex Float, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

zerosLike :: forall v'1 t. TensorType t => Tensor v'1 t -> Tensor Build t
zerosLike' :: forall v'1 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor Build t

zeta :: forall v'1 v'2 t. OneOf '[Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
zeta' :: forall v'1 v'2 t. OneOf '[Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

zipDataset :: [DataType] -> [Tensor v'1 Variant] -> Tensor Build Variant
zipDataset' :: OpParams -> [DataType] -> [Tensor v'1 Variant] -> Tensor Build Variant

-- | A graph node which represents an argument to a function.
_Arg :: forall t m'. (MonadBuild m', TensorType t) => Int64 -> m' (Tensor Value t)
_Arg' :: forall t m'. (MonadBuild m', TensorType t) => OpParams -> Int64 -> m' (Tensor Value t)

-- | Converts an array of tensors to a list of tensors.
_ArrayToList :: forall v'1 t out_types. (TensorType t, TensorTypes out_types) => [Tensor v'1 t] -> TensorList Build out_types
_ArrayToList' :: forall v'1 t out_types. (TensorType t, TensorTypes out_types) => OpParams -> [Tensor v'1 t] -> TensorList Build out_types

-- | An op that sets up the centralized structures for a distributed TPU
--   
--   system.
_ConfigureDistributedTPU :: forall v'1 m'. MonadBuild m' => [Tensor v'1 Int32] -> m' (Tensor Value ByteString)
_ConfigureDistributedTPU' :: forall v'1 m'. MonadBuild m' => OpParams -> [Tensor v'1 Int32] -> m' (Tensor Value ByteString)

-- | A graph node which represents an argument to a function.
_DeviceArg :: forall t m'. (MonadBuild m', TensorType t) => Int64 -> m' (Tensor Value t)
_DeviceArg' :: forall t m'. (MonadBuild m', TensorType t) => OpParams -> Int64 -> m' (Tensor Value t)

-- | A graph node which represents a return value of a function.
_DeviceRetval :: forall v'1 t m'. (MonadBuild m', TensorType t) => Int64 -> Tensor v'1 t -> m' ControlNode
_DeviceRetval' :: forall v'1 t m'. (MonadBuild m', TensorType t) => OpParams -> Int64 -> Tensor v'1 t -> m' ControlNode

-- | An op that disconnects the TPUs on a host from a running distributed
--   
--   TPU system.
_DisconnectHostFromDistributedTPUSystem :: forall m'. MonadBuild m' => m' (Tensor Value Int32)
_DisconnectHostFromDistributedTPUSystem' :: forall m'. MonadBuild m' => OpParams -> m' (Tensor Value Int32)

-- | <ul>
--   <li>NOTE*: Do not invoke this operator directly in Python. Grappler
--   is</li>
--   </ul>
--   
--   expected to create these operators.
_FusedBatchNormEx :: forall v'1 v'2 v'3 v'4 v'5 v'6 t u. (OneOf '[Word16, Float] t, OneOf '[Float] u) => Tensor v'1 t -> Tensor v'2 u -> Tensor v'3 u -> Tensor v'4 u -> Tensor v'5 u -> [Tensor v'6 t] -> (Tensor Build t, Tensor Build u, Tensor Build u, Tensor Build u, Tensor Build u, Tensor Build u)
_FusedBatchNormEx' :: forall v'1 v'2 v'3 v'4 v'5 v'6 t u. (OneOf '[Word16, Float] t, OneOf '[Float] u) => OpParams -> Tensor v'1 t -> Tensor v'2 u -> Tensor v'3 u -> Tensor v'4 u -> Tensor v'5 u -> [Tensor v'6 t] -> (Tensor Build t, Tensor Build u, Tensor Build u, Tensor Build u, Tensor Build u, Tensor Build u)

-- | Performs a convolution followed by a specified series of operations.
--   
--   The inputs to the convolution are <tt>input</tt> and <a>filter</a>.
--   The series of operations that follows is specified by the
--   <tt>fused_ops</tt> attribute, which is a list of TF op names specified
--   as strings (e.g. <a>Relu</a>). They are performed in order, where the
--   (first) input to each op is the output of the preceding op. The first
--   input and the output of each fused_op must be of type T.
--   
--   Currently supported fused_op combinations are: [X] and [X,A], where X
--   is one of {<a>BiasAdd</a>,<a>FusedBatchNorm</a>} and A is one of
--   {<a>Elu</a>,<a>Relu</a>,<a>Relu6</a>}.
--   
--   <ul>
--   <li>The first input to op X is the Conv2D result, and the additional
--   input(s) to X are specified by <tt>args</tt>.</li>
--   <li>If there is an op A specified, the output of op X is the input to
--   op A, and op A produces the _FusedConv2D output. Otherwise, op X
--   produces the _FusedConv2D output.</li>
--   <li>NOTE*: Do not invoke this operator directly in Python. Grappler is
--   expected to create these operators.</li>
--   </ul>
_FusedConv2D :: forall v'1 v'2 v'3 t. OneOf '[Double, Float] t => ByteString -> Tensor v'1 t -> Tensor v'2 t -> [Tensor v'3 t] -> Tensor Build t
_FusedConv2D' :: forall v'1 v'2 v'3 t. OneOf '[Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> [Tensor v'3 t] -> Tensor Build t

_FusedDepthwiseConv2dNative :: forall v'1 v'2 v'3 t. OneOf '[Word16, Double, Float] t => ByteString -> Tensor v'1 t -> Tensor v'2 t -> [Tensor v'3 t] -> Tensor Build t
_FusedDepthwiseConv2dNative' :: forall v'1 v'2 v'3 t. OneOf '[Word16, Double, Float] t => OpParams -> ByteString -> Tensor v'1 t -> Tensor v'2 t -> [Tensor v'3 t] -> Tensor Build t

-- | Performs a MatMul followed by a specified series of operations.
--   
--   The inputs to the MatMul are specified by <tt>a</tt> and <tt>b</tt>.
--   The series of operations that follows is specified by the
--   <tt>fused_ops</tt> attribute, which is a list of TF op names specified
--   as strings (e.g. <a>Relu</a>). They are performed in order, where the
--   (first) input to each op is the output of the preceding op. The first
--   input and the output of each fused_op must be of type T.
--   
--   Currently supported fused_op combinations are: [<a>BiasAdd</a>] and
--   [<a>BiasAdd</a>,A], where A is one of
--   {<a>Elu</a>,<a>Relu</a>,<a>Relu6</a>}.
--   
--   <ul>
--   <li>The first input to BiasAdd is the Conv2D result, and the
--   additional BiasAdd input is specified by <tt>args</tt>.</li>
--   <li>If there is an op A specified, the output of the BiasAdd is the
--   input to op A, and op A produces the _FusedConv2D output. Otherwise,
--   the BiasAdd produces the _FusedConv2D output.</li>
--   <li>NOTE*: Do not invoke this operator directly in Python. Grappler is
--   expected to create these operators.</li>
--   </ul>
_FusedMatMul :: forall v'1 v'2 v'3 t. OneOf '[Float] t => Tensor v'1 t -> Tensor v'2 t -> [Tensor v'3 t] -> Tensor Build t
_FusedMatMul' :: forall v'1 v'2 v'3 t. OneOf '[Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> [Tensor v'3 t] -> Tensor Build t

-- | Cast x of type SrcT to y of DstT.
--   
--   _HostCast requires its input and produces its output in host memory.
_HostCast :: forall v'1 srcT dstT. (TensorType srcT, TensorType dstT) => Tensor v'1 srcT -> Tensor Build dstT
_HostCast' :: forall v'1 srcT dstT. (TensorType srcT, TensorType dstT) => OpParams -> Tensor v'1 srcT -> Tensor Build dstT

-- | Receives the named tensor from send_device on recv_device.
--   
--   _HostRecv produces its output on host memory whereas _Recv produces
--   its output on device memory.
_HostRecv :: forall tensor_type m'. (MonadBuild m', TensorType tensor_type) => ByteString -> ByteString -> Int64 -> ByteString -> m' (Tensor Value tensor_type)
_HostRecv' :: forall tensor_type m'. (MonadBuild m', TensorType tensor_type) => OpParams -> ByteString -> ByteString -> Int64 -> ByteString -> m' (Tensor Value tensor_type)

-- | Sends the named tensor from send_device to recv_device.
--   
--   _HostSend requires its input on host memory whereas _Send requires its
--   input on device memory.
_HostSend :: forall v'1 t m'. (MonadBuild m', TensorType t) => ByteString -> ByteString -> Int64 -> ByteString -> Tensor v'1 t -> m' ControlNode
_HostSend' :: forall v'1 t m'. (MonadBuild m', TensorType t) => OpParams -> ByteString -> ByteString -> Int64 -> ByteString -> Tensor v'1 t -> m' ControlNode

-- | An op that connects each chip on the host to a centralized UberDriver
--   to allow
--   
--   them to operate as a distributed system with chips in other hosts.
_InitializeHostForDistributedTPU :: forall v'1 m'. MonadBuild m' => Tensor v'1 ByteString -> m' (Tensor Value Int32)
_InitializeHostForDistributedTPU' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ByteString -> m' (Tensor Value Int32)

-- | Converts a list of tensors to an array of tensors.
_ListToArray :: forall v'1 tin t. (TensorTypes tin, TensorType t) => Int64 -> TensorList v'1 tin -> [Tensor Build t]
_ListToArray' :: forall v'1 tin t. (TensorTypes tin, TensorType t) => OpParams -> Int64 -> TensorList v'1 tin -> [Tensor Build t]

-- | Returns the max of x and y (i.e. x &gt; y ? x : y) element-wise.
--   
--   <ul>
--   <li>NOTE*: <tt>Maximum</tt> supports broadcasting. More about
--   broadcasting <a>here</a></li>
--   </ul>
_MklMaximum :: forall v'1 v'2 v'3 v'4 t. OneOf '[Int32, Int64, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Word8 -> Tensor v'4 Word8 -> (Tensor Build t, Tensor Build Word8)
_MklMaximum' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Int32, Int64, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Word8 -> Tensor v'4 Word8 -> (Tensor Build t, Tensor Build Word8)

-- | Returns x * y element-wise.
--   
--   <ul>
--   <li>NOTE*: <tt>Mul</tt> supports broadcasting. More about broadcasting
--   <a>here</a></li>
--   </ul>
_MklMul :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Word8 -> Tensor v'4 Word8 -> (Tensor Build t, Tensor Build Word8)
_MklMul' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Int16, Int32, Int64, Int8, Word16, Word8, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Word8 -> Tensor v'4 Word8 -> (Tensor Build t, Tensor Build Word8)

-- | Returns (x - y)(x - y) element-wise.
--   
--   <ul>
--   <li>NOTE*: <tt>SquaredDifference</tt> supports broadcasting. More
--   about broadcasting <a>here</a></li>
--   </ul>
_MklSquaredDifference :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Int32, Int64, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Word8 -> Tensor v'4 Word8 -> (Tensor Build t, Tensor Build Word8)
_MklSquaredDifference' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Int32, Int64, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Word8 -> Tensor v'4 Word8 -> (Tensor Build t, Tensor Build Word8)

-- | Returns x - y element-wise.
--   
--   <ul>
--   <li>NOTE*: <tt>Sub</tt> supports broadcasting. More about broadcasting
--   <a>here</a></li>
--   </ul>
_MklSub :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Int32, Int64, Word16, Double, Float] t => Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Word8 -> Tensor v'4 Word8 -> (Tensor Build t, Tensor Build Word8)
_MklSub' :: forall v'1 v'2 v'3 v'4 t. OneOf '[Complex Double, Complex Float, Int32, Int64, Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor v'3 Word8 -> Tensor v'4 Word8 -> (Tensor Build t, Tensor Build Word8)

-- | Replacement node for NcclBroadcast.
--   
--   Sends data of shape <a>shape</a> from the _NcclBroadcastSend op
--   registered in the same <tt>shared_name</tt>. The graph should be
--   constructed so that one device runs <a>_NcclBroadcastSend</a> and
--   `num_devices-1` devices run _NcclBroadcastRecv ops with shared_name
--   value <tt>c</tt>. Failure to do so will cause the graph execution to
--   fail to complete.
_NcclBroadcastRecv :: forall v'1 t m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t) => Int64 -> ByteString -> Tensor v'1 Int32 -> m' (Tensor Value t)
_NcclBroadcastRecv' :: forall v'1 t m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t) => OpParams -> Int64 -> ByteString -> Tensor v'1 Int32 -> m' (Tensor Value t)

-- | Replacement node for NcclBroadcast.
--   
--   Sends <tt>input</tt> to the _NcclBroadcastRecv ops registered in the
--   same <tt>shared_name</tt>. The graph should be constructed so that one
--   device runs <a>_NcclBroadcastSend</a> and `num_devices-1` devices run
--   _NcclBroadcastRecv ops with shared_name value <tt>c</tt>. Failure to
--   do so will cause the graph execution to fail to complete.
_NcclBroadcastSend :: forall v'1 t m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t) => Int64 -> ByteString -> Tensor v'1 t -> m' ControlNode
_NcclBroadcastSend' :: forall v'1 t m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t) => OpParams -> Int64 -> ByteString -> Tensor v'1 t -> m' ControlNode

-- | Replacement node for NcclReduce.
--   
--   Reduces <tt>input</tt> from this op and the NcclReduceSend ops
--   registered in the same <tt>shared_name</tt>. The graph should be
--   constructed so that 'num_devices-1' devices run <a>_NcclReduceSend</a>
--   and one device runs _NcclReduceRecv op with shared_name value
--   <tt>c</tt>. Failure to do so will cause the graph execution to fail to
--   complete.
_NcclReduceRecv :: forall v'1 t m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t) => Int64 -> ByteString -> ByteString -> Tensor v'1 t -> m' (Tensor Value t)
_NcclReduceRecv' :: forall v'1 t m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t) => OpParams -> Int64 -> ByteString -> ByteString -> Tensor v'1 t -> m' (Tensor Value t)

-- | Replacement node for NcclReduce.
--   
--   Reduces <tt>input</tt> to the NcclReduceRecv op registered in the same
--   <tt>shared_name</tt>. The graph should be constructed so that
--   'num_devices-1' devices run <a>_NcclReduceSend</a> and one device runs
--   _NcclReduceRecv op with shared_name value <tt>c</tt>. Failure to do so
--   will cause the graph execution to fail to complete.
_NcclReduceSend :: forall v'1 t m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t) => Int64 -> ByteString -> ByteString -> Tensor v'1 t -> m' ControlNode
_NcclReduceSend' :: forall v'1 t m'. (MonadBuild m', OneOf '[Int32, Int64, Word16, Double, Float] t) => OpParams -> Int64 -> ByteString -> ByteString -> Tensor v'1 t -> m' ControlNode

-- | Creates an empty Tensor with shape <a>shape</a> and type
--   <tt>dtype</tt>.
--   
--   The memory can optionally be initialized. This is usually useful in
--   conjunction with inplace operations.
_ParallelConcatStart :: forall dtype m'. (MonadBuild m', TensorType dtype) => Shape -> m' (Tensor Value dtype)
_ParallelConcatStart' :: forall dtype m'. (MonadBuild m', TensorType dtype) => OpParams -> Shape -> m' (Tensor Value dtype)

-- | Updates input <a>value</a> at <tt>loc</tt> with <tt>update</tt>.
--   
--   If you use this function you will almost certainly want to add a
--   control dependency as done in the implementation of parallel_stack to
--   avoid race conditions.
_ParallelConcatUpdate :: forall v'1 v'2 t. TensorType t => Int64 -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
_ParallelConcatUpdate' :: forall v'1 v'2 t. TensorType t => OpParams -> Int64 -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

_ReadVariablesOp :: forall v'1 dtypes m'. (MonadBuild m', TensorTypes dtypes) => [Tensor v'1 ResourceHandle] -> m' (TensorList Value dtypes)
_ReadVariablesOp' :: forall v'1 dtypes m'. (MonadBuild m', TensorTypes dtypes) => OpParams -> [Tensor v'1 ResourceHandle] -> m' (TensorList Value dtypes)

-- | Receives the named tensor from send_device on recv_device.
_Recv :: forall tensor_type m'. (MonadBuild m', TensorType tensor_type) => ByteString -> ByteString -> Int64 -> ByteString -> m' (Tensor Value tensor_type)
_Recv' :: forall tensor_type m'. (MonadBuild m', TensorType tensor_type) => OpParams -> ByteString -> ByteString -> Int64 -> ByteString -> m' (Tensor Value tensor_type)

-- | A graph node which represents a return value of a function.
_Retval :: forall v'1 t m'. (MonadBuild m', TensorType t) => Int64 -> Tensor v'1 t -> m' ControlNode
_Retval' :: forall v'1 t m'. (MonadBuild m', TensorType t) => OpParams -> Int64 -> Tensor v'1 t -> m' ControlNode

-- | Allocates a mutable tensor that becomes available to appropriately
--   annotated
--   
--   downstream Ops as backing store for their output tensor allocations
--   via the ScopedAllocatorMgr. Returns a reference to this value.
--   
--   This is an experimental op for internal use only. It is possible to
--   use this op in unsafe ways.
--   
--   <tt>shapes</tt> is a list of the shapes of the tensors that are to be
--   allocated by this ScopedAllocator. <a>shape</a> is the shape of the
--   output of this Op, i.e. the 1D backing tensor from which the
--   individual allocated tensors are aliased. <tt>sa_name</tt> is the name
--   assigned to the Node, for connectivity specification and debugging.
--   <a>id</a> is a non-negative integer <tt>scope_id</tt> handled by the
--   ScopedAllocatorMgr. <tt>expected_call_count</tt> is the number of
--   individual tensors expected to be allocated from the backing tensor.
_ScopedAllocator :: forall t m'. (MonadBuild m', TensorType t) => Int64 -> Int64 -> ByteString -> Shape -> m' (Tensor Value t)
_ScopedAllocator' :: forall t m'. (MonadBuild m', TensorType t) => OpParams -> Int64 -> Int64 -> ByteString -> Shape -> m' (Tensor Value t)

-- | Acts like a Concat Op that merges multiple tensors into one, however
--   it must
--   
--   only be used in conjunction with a ScopedAllocator which is backing
--   the memory of all of its input tensors so that actually it just
--   outputs a read-only reference to that ScopedAllocator's backing
--   tensor.
--   
--   This is an experimental op for internal use only. It is possible to
--   use this op in unsafe ways.
--   
--   <tt>backing</tt> is the backing tensor, i.e. the output of an upstream
--   ScopedAllocator. <tt>inputs</tt> is a list of nominal input tensors,
--   all of which must be aliases to regions of the backing tensor. These
--   will be outputs of upstream nodes that allocate their outputs from the
--   same ScopedAllocator. <a>shape</a> is the shape of the output, which
--   will usually be the same shape as the input backing tensor.
--   <a>reshape</a> is true iff the output shape is to be different from
--   that of the input backing tensor. <tt>sa_name</tt> is the Node name of
--   the upstream ScopedAllocator. <a>id</a> is the scope_id identifying
--   the upstream ScopedAllocator. <tt>N</tt> is the number of nominal
--   inputs to be concatenated.
_ScopedAllocatorConcat :: forall v'1 v'2 t m'. (MonadBuild m', TensorType t) => Int64 -> ByteString -> Shape -> Tensor v'1 t -> [Tensor v'2 t] -> m' (Tensor Value t)
_ScopedAllocatorConcat' :: forall v'1 v'2 t m'. (MonadBuild m', TensorType t) => OpParams -> Int64 -> ByteString -> Shape -> Tensor v'1 t -> [Tensor v'2 t] -> m' (Tensor Value t)

-- | Acts roughly like a SplitV Op that splits one tensor into multiple
--   tensors
--   
--   but must only be used in conjunction with corresponding
--   ScopedAllocator and ScopedAllocatorConcat instances. In practice it is
--   provided as inputs the backing tensor as first input, which contains
--   the concatenated values, and a list of alias tensors as its other
--   input and it simply outputs that second list.
--   
--   This is an experimental op for internal use only. It is possible to
--   use this op in unsafe ways.
--   
--   <a>concat</a> is the single output produced by an upstream
--   ScopedAllocatorConcat node. This is actually the backing tensor from a
--   ScopedAllocator node upstream of the ScopedAllocatorConcat.
--   <a>split</a> is a list of tensors aliased from the backing tensor. It
--   will become the output of this ScopedAllocatorSplit node. 'type' is
--   the common DataType of all of the input and output tensors.
--   <tt>sa_name</tt> is the Node name of the upstream ScopedAllocator.
--   <a>id</a> is the scope_id identifying the upstream ScopedAllocator.
--   <tt>N</tt> is the number of split tensors. <tt>shapes</tt> is a list
--   of the split tensor shapes.
_ScopedAllocatorSplit :: forall v'1 v'2 t m'. (MonadBuild m', TensorType t) => Int64 -> ByteString -> Tensor v'1 t -> [Tensor v'2 t] -> m' [Tensor Value t]
_ScopedAllocatorSplit' :: forall v'1 v'2 t m'. (MonadBuild m', TensorType t) => OpParams -> Int64 -> ByteString -> Tensor v'1 t -> [Tensor v'2 t] -> m' [Tensor Value t]

-- | Sends the named tensor from send_device to recv_device.
_Send :: forall v'1 t m'. (MonadBuild m', TensorType t) => ByteString -> ByteString -> Int64 -> ByteString -> Tensor v'1 t -> m' ControlNode
_Send' :: forall v'1 t m'. (MonadBuild m', TensorType t) => OpParams -> ByteString -> ByteString -> Int64 -> ByteString -> Tensor v'1 t -> m' ControlNode

-- | An op that informs a host of the global ids of all the of TPUs in the
--   
--   system.
_SetGlobalTPUArray :: forall v'1 m'. MonadBuild m' => Tensor v'1 ByteString -> m' ControlNode
_SetGlobalTPUArray' :: forall v'1 m'. MonadBuild m' => OpParams -> Tensor v'1 ByteString -> m' ControlNode

-- | An op that shuts down a running distributed TPU system. The Op returns
--   
--   an error if no system is running. This Op must be run on the same
--   TPU_SYSTEM device as the corresponding _ConfigureDistributedTPU was
--   run to start the system, and must be run only after
--   _DisconnectHostFromDistributedTPUSystem has completed on every host in
--   the system.
_ShutdownDistributedTPU :: forall m'. MonadBuild m' => m' ControlNode
_ShutdownDistributedTPU' :: forall m'. MonadBuild m' => OpParams -> m' ControlNode

_SwitchN :: forall v'1 v'2 t. TensorType t => Int64 -> Tensor v'1 t -> Tensor v'2 Int32 -> [Tensor Build t]
_SwitchN' :: forall v'1 v'2 t. TensorType t => OpParams -> Int64 -> Tensor v'1 t -> Tensor v'2 Int32 -> [Tensor Build t]

-- | <ul>
--   <li>NOTE*: Do not invoke this operator directly in Python. Graph
--   rewrite pass is</li>
--   </ul>
--   
--   expected to create these operators.
_UnaryOpsComposition :: forall v'1 t. OneOf '[Word16, Double, Float] t => Tensor v'1 t -> Tensor Build t
_UnaryOpsComposition' :: forall v'1 t. OneOf '[Word16, Double, Float] t => OpParams -> Tensor v'1 t -> Tensor Build t

_VarHandlesOp :: forall m'. MonadBuild m' => Int64 -> [DataType] -> m' [Tensor Value ResourceHandle]
_VarHandlesOp' :: forall m'. MonadBuild m' => OpParams -> Int64 -> [DataType] -> m' [Tensor Value ResourceHandle]

-- | An op that blocks execution until a distributed TPU system has
--   
--   started up. This Op must be run on the same TPU_SYSTEM device as
--   _ConfigureDistributedTPU, and takes an inputs the outputs from the
--   _InitializeHostForDistributedTPU Ops.
_WaitForDistributedTPU :: forall v'1 m'. MonadBuild m' => [Tensor v'1 Int32] -> m' (Tensor Value ByteString)
_WaitForDistributedTPU' :: forall v'1 m'. MonadBuild m' => OpParams -> [Tensor v'1 Int32] -> m' (Tensor Value ByteString)

-- | XLA Merge Op. For use by the XLA JIT only.
--   
--   Merges the outputs from the PartitionedCall node and the _XlaRun node.
--   Unlike the TensorFlow Merge op, which requires inputs of some types to
--   be placed on the host, the _XlaMerge op can merge inputs of all types
--   when placed on the device. This prevents the need for copy operations,
--   in particular when an XLA cluster has int32 outputs. The _XlaMerge up
--   does not have a value_index output that identifies the chosen input.
_XlaMerge :: forall v'1 v'2 t. TensorType t => Tensor v'1 t -> Tensor v'2 t -> Tensor Build t
_XlaMerge' :: forall v'1 v'2 t. TensorType t => OpParams -> Tensor v'1 t -> Tensor v'2 t -> Tensor Build t

-- | A placeholder op to receive values from a running XLA computation.
_XlaRecvAtHost :: forall v'1 toutputs m'. (MonadBuild m', TensorTypes toutputs) => Int64 -> ByteString -> Tensor v'1 ByteString -> m' (TensorList Value toutputs)
_XlaRecvAtHost' :: forall v'1 toutputs m'. (MonadBuild m', TensorTypes toutputs) => OpParams -> Int64 -> ByteString -> Tensor v'1 ByteString -> m' (TensorList Value toutputs)

-- | XLA Run Op. For use by the XLA JIT only.
--   
--   Executes a TensorFlow function previously compiled into a
--   LocalExecutable by an _XlaCompile op.
_XlaRun :: forall v'1 v'2 targs tresults m'. (MonadBuild m', TensorTypes targs, TensorTypes tresults) => TensorList v'1 targs -> Tensor v'2 ByteString -> m' (TensorList Value tresults)
_XlaRun' :: forall v'1 v'2 targs tresults m'. (MonadBuild m', TensorTypes targs, TensorTypes tresults) => OpParams -> TensorList v'1 targs -> Tensor v'2 ByteString -> m' (TensorList Value tresults)

-- | A placeholder op to send values to a running XLA computation.
_XlaSendFromHost :: forall v'1 v'2 tinputs m'. (MonadBuild m', TensorTypes tinputs) => Int64 -> ByteString -> TensorList v'1 tinputs -> Tensor v'2 ByteString -> m' ControlNode
_XlaSendFromHost' :: forall v'1 v'2 tinputs m'. (MonadBuild m', TensorTypes tinputs) => OpParams -> Int64 -> ByteString -> TensorList v'1 tinputs -> Tensor v'2 ByteString -> m' ControlNode