Safe Haskell | None |
---|---|
Language | Haskell2010 |
Documentation
allCandidateSampler' :: String -> String -> String -> String -> String -> String -> Tensor n t a Source #
atrousConv2dTranspose' :: String -> String -> String -> String -> String -> String -> Tensor n t a Source #
avgPool' :: SingI n => String -> String -> Sing n -> String -> String -> String -> Tensor n t a Source #
avgPool3d' :: SingI n => String -> String -> Sing n -> String -> String -> String -> Tensor n t a Source #
batchNormWithGlobalNormalization' :: String -> String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
batchNormWithGlobalNormalization :: String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
batchNormalization' :: Tensor n t a -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
batchNormalization :: Tensor n t a -> String -> String -> String -> String -> String -> Tensor n t a Source #
bidirectionalDynamicRnn' :: String -> String -> String -> String -> String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
conv1d' :: String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
conv2d' :: SingI n => String -> Tensor n t a -> Sing n -> String -> String -> String -> String -> Tensor n t a Source #
conv2dBackpropFilter' :: SingI n => String -> String -> String -> Sing n -> String -> String -> String -> String -> Tensor n t a Source #
conv2dBackpropFilter :: SingI n => String -> String -> String -> Sing n -> String -> Tensor n t a Source #
conv2dBackpropInput' :: SingI n => String -> Tensor n t a -> String -> Sing n -> String -> String -> String -> String -> Tensor n t a Source #
conv2dBackpropInput :: SingI n => String -> Tensor n t a -> String -> Sing n -> String -> Tensor n t a Source #
conv2dTranspose' :: SingI n => String -> Tensor n t a -> String -> Sing n -> String -> String -> String -> Tensor n t a Source #
conv3d' :: SingI n => String -> Tensor n t a -> Sing n -> String -> String -> String -> Tensor n t a Source #
conv3dBackpropFilterV2' :: SingI n => String -> String -> String -> Sing n -> String -> String -> String -> Tensor n t a Source #
conv3dBackpropFilterV2 :: SingI n => String -> String -> String -> Sing n -> String -> Tensor n t a Source #
conv3dTranspose' :: SingI n => String -> Tensor n t a -> String -> Sing n -> String -> String -> String -> Tensor n t a Source #
convolution' :: SingI n => String -> Tensor n t a -> String -> Sing n -> String -> String -> String -> Tensor n t a Source #
ctcLoss' :: String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
depthwiseConv2d' :: SingI n => String -> Tensor n t a -> Sing n -> String -> String -> String -> String -> Tensor n t a Source #
depthwiseConv2dNative' :: SingI n => String -> Tensor n t a -> Sing n -> String -> String -> String -> Tensor n t a Source #
depthwiseConv2dNative :: SingI n => String -> Tensor n t a -> Sing n -> String -> Tensor n t a Source #
depthwiseConv2dNativeBackpropFilter' :: SingI n => String -> String -> String -> Sing n -> String -> String -> String -> Tensor n t a Source #
depthwiseConv2dNativeBackpropFilter :: SingI n => String -> String -> String -> Sing n -> String -> Tensor n t a Source #
depthwiseConv2dNativeBackpropInput' :: SingI n => String -> Tensor n t a -> String -> Sing n -> String -> String -> String -> Tensor n t a Source #
depthwiseConv2dNativeBackpropInput :: SingI n => String -> Tensor n t a -> String -> Sing n -> String -> Tensor n t a Source #
dilation2d' :: SingI n => String -> Tensor n t a -> Sing n -> String -> String -> String -> Tensor n t a Source #
dilation2d :: SingI n => String -> Tensor n t a -> Sing n -> String -> String -> Tensor n t a Source #
dynamicRnn' :: String -> String -> String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
embeddingLookup' :: String -> String -> String -> String -> String -> String -> Tensor n t a Source #
embeddingLookupSparse' :: String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
erosion2d' :: SingI n => String -> String -> Sing n -> String -> String -> String -> Tensor n t a Source #
fixedUnigramCandidateSampler' :: String -> String -> String -> String -> String -> String -> String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
fixedUnigramCandidateSampler :: String -> String -> String -> String -> String -> Tensor n t a Source #
fractionalAvgPool' :: String -> String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
fractionalMaxPool' :: String -> String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
fusedBatchNorm' :: Tensor n t a -> String -> String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
learnedUnigramCandidateSampler' :: String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
learnedUnigramCandidateSampler :: String -> String -> String -> String -> String -> Tensor n t a Source #
localResponseNormalization' :: String -> String -> String -> String -> String -> String -> Tensor n t a Source #
localResponseNormalization :: String -> Tensor n t a Source #
logSoftmax :: String -> Tensor n t a Source #
logUniformCandidateSampler' :: String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
logUniformCandidateSampler :: String -> String -> String -> String -> String -> Tensor n t a Source #
maxPool' :: SingI n => String -> String -> Sing n -> String -> String -> String -> Tensor n t a Source #
maxPool3d' :: SingI n => String -> String -> Sing n -> String -> String -> String -> Tensor n t a Source #
maxPoolWithArgmax' :: SingI n => String -> String -> Sing n -> String -> String -> String -> Tensor n t a Source #
nceLoss' :: String -> String -> String -> String -> String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
pool' :: SingI n => String -> String -> String -> String -> String -> Sing n -> String -> String -> Tensor n t a Source #
quantizedAvgPool' :: SingI n => String -> String -> String -> String -> Sing n -> String -> String -> Tensor n t a Source #
quantizedAvgPool :: SingI n => String -> String -> String -> String -> Sing n -> String -> Tensor n t a Source #
quantizedConv2d' :: SingI n => String -> Tensor n t a -> String -> String -> String -> String -> Sing n -> String -> String -> String -> Tensor n t a Source #
quantizedConv2d :: SingI n => String -> Tensor n t a -> String -> String -> String -> String -> Sing n -> String -> Tensor n t a Source #
quantizedMaxPool' :: SingI n => String -> String -> String -> String -> Sing n -> String -> String -> Tensor n t a Source #
quantizedMaxPool :: SingI n => String -> String -> String -> String -> Sing n -> String -> Tensor n t a Source #
quantizedReluX' :: String -> String -> String -> String -> String -> String -> Tensor n t a Source #
sampledSoftmaxLoss' :: String -> String -> String -> String -> String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
sampledSoftmaxLoss :: String -> String -> String -> String -> String -> String -> Tensor n t a Source #
separableConv2d' :: SingI n => String -> String -> String -> Sing n -> String -> String -> String -> String -> Tensor n t a Source #
separableConv2d :: SingI n => String -> String -> String -> Sing n -> String -> Tensor n t a Source #
sigmoidCrossEntropyWithLogits :: Tensor n t a Source #
softmaxCrossEntropyWithLogits :: Tensor n t a Source #
sparseSoftmaxCrossEntropyWithLogits :: Tensor n t a Source #
staticBidirectionalRnn' :: String -> String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
staticStateSavingRnn' :: String -> String -> String -> String -> String -> String -> Tensor n t a Source #
sufficientStatistics' :: Tensor n t a -> String -> String -> String -> String -> Tensor n t a Source #
uniformCandidateSampler' :: String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
withSpaceToBatch' :: String -> String -> String -> String -> String -> String -> String -> Tensor n t a Source #
zeroFraction :: String -> Tensor n t a Source #