Safe Haskell | None |
---|---|
Language | Haskell2010 |
Documentation
noGradient :: String -> Tensor n t a Source #
notDifferentiable :: String -> Tensor n t a Source #
accumulateN :: String -> Tensor n t a Source #
addCheckNumericsOps :: Tensor n t a Source #
allVariables :: Tensor n t a Source #
asString' :: String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
assertEqual' :: Tensor n t a -> Tensor n t a -> String -> String -> String -> String -> Tensor n t a Source #
assertGreater' :: Tensor n t a -> Tensor n t a -> String -> String -> String -> String -> Tensor n t a Source #
assertGreaterEqual' :: Tensor n t a -> Tensor n t a -> String -> String -> String -> String -> Tensor n t a Source #
assertInteger :: Tensor n t a -> Tensor n t a Source #
assertLess' :: Tensor n t a -> Tensor n t a -> String -> String -> String -> String -> Tensor n t a Source #
assertLessEqual' :: Tensor n t a -> Tensor n t a -> String -> String -> String -> String -> Tensor n t a Source #
assertNegative :: Tensor n t a -> Tensor n t a Source #
assertNonNegative :: Tensor n t a -> Tensor n t a Source #
assertNonPositive :: Tensor n t a -> Tensor n t a Source #
assertNoneEqual' :: Tensor n t a -> Tensor n t a -> String -> String -> String -> String -> Tensor n t a Source #
assertPositive :: Tensor n t a -> Tensor n t a Source #
assertProperIterable :: String -> Tensor n t a Source #
assertRank' :: Tensor n t a -> String -> String -> String -> String -> String -> Tensor n t a Source #
assertRankAtLeast' :: Tensor n t a -> String -> String -> String -> String -> String -> Tensor n t a Source #
assertSameFloatDtype :: Tensor n t a Source #
assertScalar :: Tensor n t a -> Tensor n t a Source #
assertVariablesInitialized :: Tensor n t a Source #
confusionMatrix' :: String -> String -> String -> String -> String -> String -> Tensor n t a Source #
controlDependencies :: String -> Tensor n t a Source #
convertToTensor :: String -> Tensor n t a Source #
convertToTensorOrIndexedSlices :: String -> Tensor n t a Source #
convertToTensorOrSparseTensor :: String -> Tensor n t a Source #
countNonzero :: String -> Tensor n t a Source #
createPartitionedVariables' :: SingI n => Sing n -> String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
decodeBase64 :: String -> Tensor n t a Source #
decodeJsonExample :: String -> Tensor n t a Source #
deleteSessionTensor :: String -> Tensor n t a Source #
encodeBase64 :: String -> Tensor n t a Source #
expandDims :: String -> Tensor n t a Source #
extractImagePatches' :: SingI n => String -> String -> Sing n -> String -> String -> String -> Tensor n t a Source #
extractImagePatches :: SingI n => String -> String -> Sing n -> String -> String -> Tensor n t a Source #
fakeQuantWithMinMaxArgs :: String -> Tensor n t a Source #
fakeQuantWithMinMaxArgsGradient' :: String -> String -> String -> String -> String -> String -> Tensor n t a Source #
fakeQuantWithMinMaxVarsGradient' :: String -> String -> String -> String -> String -> String -> Tensor n t a Source #
fakeQuantWithMinMaxVarsPerChannel' :: String -> String -> String -> String -> String -> Tensor n t a Source #
fakeQuantWithMinMaxVarsPerChannelGradient' :: String -> String -> String -> String -> String -> String -> Tensor n t a Source #
fakeQuantWithMinMaxVarsPerChannelGradient :: String -> String -> String -> String -> Tensor n t a Source #
fixedSizePartitioner :: String -> Tensor n t a Source #
foldl' :: String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
foldr' :: String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
getCollection :: String -> Tensor n t a Source #
getCollectionRef :: String -> Tensor n t a Source #
getDefaultGraph :: Tensor n t a Source #
getDefaultSession :: Tensor n t a Source #
getLocalVariable :: Tensor n t a Source #
getSessionHandle :: String -> Tensor n t a Source #
getVariable' :: SingI n => String -> Sing n -> String -> String -> String -> String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
getVariable :: String -> Tensor n t a Source #
getVariableScope :: Tensor n t a Source #
globalNorm :: String -> Tensor n t a Source #
globalVariables :: Tensor n t a Source #
globalVariablesInitializer :: Tensor n t a Source #
gradients' :: String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
importGraphDef' :: String -> String -> String -> String -> String -> String -> Tensor n t a Source #
importGraphDef :: String -> Tensor n t a Source #
initializeAllTables :: Tensor n t a Source #
initializeAllVariables :: Tensor n t a Source #
initializeLocalVariables :: Tensor n t a Source #
initializeVariables :: Tensor n t a Source #
invertPermutation :: Tensor n t a -> Tensor n t a Source #
isNonDecreasing :: Tensor n t a -> Tensor n t a Source #
isNumericTensor :: Tensor n t a -> Tensor n t a Source #
isStrictlyIncreasing :: Tensor n t a -> Tensor n t a Source #
isVariableInitialized :: Tensor n t a Source #
loadFileSystemLibrary :: String -> Tensor n t a Source #
loadOpLibrary :: String -> Tensor n t a Source #
localVariables :: Tensor n t a Source #
localVariablesInitializer :: Tensor n t a Source #
logSigmoid :: Tensor n t a -> Tensor n t a Source #
logicalNot :: Tensor n t a -> Tensor n t a Source #
makeNdarray :: Tensor n t a -> Tensor n t a Source #
makeTensorProto :: String -> Tensor n t a Source #
mapFn' :: String -> String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
matchingFiles :: String -> Tensor n t a Source #
matmul' :: Tensor n t a -> Tensor n t a -> String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
matrixDeterminant :: String -> Tensor n t a Source #
matrixDiag :: String -> Tensor n t a Source #
matrixDiagPart :: String -> Tensor n t a Source #
matrixInverse :: String -> Tensor n t a Source #
matrixTranspose :: Tensor n t a -> Tensor n t a Source #
minMaxVariablePartitioner :: Tensor n t a Source #
modelVariables :: Tensor n t a Source #
movingAverageVariables :: Tensor n t a Source #
noRegularizer :: String -> Tensor n t a Source #
oneHot' :: String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
parallelStack :: String -> Tensor n t a Source #
parseSingleSequenceExample' :: String -> String -> String -> String -> String -> Tensor n t a Source #
parseSingleSequenceExample :: String -> Tensor n t a Source #
placeholder :: String -> Tensor n t a Source #
randomGamma' :: SingI n => Sing n -> String -> String -> String -> String -> String -> Tensor n t a Source #
randomNormal' :: SingI n => Sing n -> String -> String -> String -> String -> String -> Tensor n t a Source #
randomPoisson' :: SingI n => String -> Sing n -> String -> String -> String -> Tensor n t a Source #
randomShuffle :: String -> Tensor n t a Source #
randomUniform' :: SingI n => Sing n -> String -> String -> String -> String -> String -> Tensor n t a Source #
reciprocal :: Tensor n t a -> Tensor n t a Source #
reduceJoin :: String -> Tensor n t a Source #
reduceLogsumexp :: String -> Tensor n t a Source #
reduceMean :: String -> Tensor n t a Source #
reduceProd :: String -> Tensor n t a Source #
reportUninitializedVariables :: Tensor n t a Source #
resetDefaultGraph :: Tensor n t a Source #
reverseSequence' :: String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
scan' :: String -> String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
selfAdjointEig :: Tensor n t a -> Tensor n t a Source #
selfAdjointEigvals :: Tensor n t a -> Tensor n t a Source #
sequenceMask :: String -> Tensor n t a Source #
serializeManySparse :: String -> Tensor n t a Source #
serializeSparse :: String -> Tensor n t a Source #
setRandomSeed :: String -> Tensor n t a Source #
sparseMatmul' :: Tensor n t a -> Tensor n t a -> String -> String -> String -> String -> String -> Tensor n t a Source #
sparsePlaceholder :: String -> Tensor n t a Source #
sparseReduceSum :: String -> Tensor n t a Source #
sparseReduceSumSparse :: String -> Tensor n t a Source #
sparseReorder :: String -> Tensor n t a Source #
sparseResetShape :: String -> Tensor n t a Source #
sparseSoftmax :: String -> Tensor n t a Source #
sparseSplit :: Tensor n t a Source #
sparseTensorDenseMatmul' :: String -> Tensor n t a -> String -> String -> String -> Tensor n t a Source #
sparseTensorToDense :: String -> Tensor n t a Source #
sparseTranspose :: String -> Tensor n t a Source #
stopGradient :: String -> Tensor n t a Source #
stridedSlice' :: SingI n => String -> String -> String -> Sing n -> String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
stringJoin :: String -> Tensor n t a Source #
stringSplit :: String -> Tensor n t a Source #
stringToNumber :: String -> Tensor n t a Source #
tablesInitializer :: Tensor n t a Source #
toBfloat16 :: Tensor n t a -> Tensor n t a Source #
trainableVariables :: Tensor n t a Source #
truncatedNormal' :: SingI n => Sing n -> String -> String -> String -> String -> String -> Tensor n t a Source #
uniqueWithCounts :: Tensor n t a -> Tensor n t a Source #
variableAxisSizePartitioner :: String -> Tensor n t a Source #
variableOpScope :: Tensor n t a Source #
variableScope :: Tensor n t a Source #
variablesInitializer :: String -> Tensor n t a Source #