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KInference Core supported operators
Anastasia Tuchina edited this page Jul 25, 2023
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Common operators:
- Abs
- Acos
- Acosh
- Add
- And
- ArgMax
- ArgMin
- Asin
- Asinh
- Atan
- Atanh
- AveragePool
- BatchNormalization
- BitShift
- BitwiseAnd
- BitwiseNot
- BitwiseOr
- BitwiseXor
- Cast
- Ceil
- Col2Im
- Compress
- Concat
- ConcatFromSequence
- Constant
- ConstantOfShape
- Conv
- ConvInteger
- ConvTranspose
- Cos
- Cosh
- CumSum
- DFT
- DepthToSpace
- DequantizeLinear
- Det
- Div
- Dropout
- Einsum
- Equal
- Erf
- Exp
- Expand
- EyeLike
- Flatten
- Floor
- GRU
- Gather
- GatherElements
- GatherND
- Gemm
- GlobalAveragePool
- GlobalLpPool
- GlobalMaxPool
- Greater
- GridSample
- Hardmax
- Identity
- If
- InstanceNormalization
- IsInf
- IsNaN
- LRN
- LSTM
- Less
- Log
- Loop
- LpNormalization
- LpPool
- MatMul
- MatMulInteger
- Max
- MaxPool
- MaxRoiPool
- MaxUnpool
- Mean
- MelWeightMatrix
- Min
- Mod
- Mul
- Multinomial
- Neg
- NonMaxSuppression
- NonZero
- Not
- OneHot
- Optional
- OptionalGetElement
- OptionalHasElement
- Or
- Pad
- Pow
- QLinearConv
- QLinearMatMul
- QuantizeLinear
- RNN
- RandomNormal
- RandomNormalLike
- RandomUniform
- RandomUniformLike
- Reciprocal
- ReduceMax
- ReduceMean
- ReduceMin
- ReduceProd
- ReduceSum
- Reshape
- Resize
- ReverseSequence
- RoiAlign
- Round
- STFT
- Scan
- Scatter (deprecated)
- ScatterElements
- ScatterND
- SequenceAt
- SequenceConstruct
- SequenceEmpty
- SequenceErase
- SequenceInsert
- SequenceLength
- Shape
- Sigmoid
- Sign
- Sin
- Sinh
- Size
- Slice
- xSpaceToDepth
- Split
- SplitToSequence
- Sqrt
- Squeeze
- StringNormalizer
- Sub
- Sum
- Tan
- Tanh
- TfIdfVectorizer
- Tile
- TopK
- Transpose
- Trilu
- Unique
- Unsqueeze
- Upsample (deprecated)
- Where
- Xor
Functions:
- Bernoulli
- BlackmanWindow
- CastLike
- Celu
- CenterCropPad
- Clip
- DynamicQuantizeLinear
- Elu
- GreaterOrEqual
- GroupNormalization
- HammingWindow
- HannWindow
- HardSigmoid
- HardSwish
- LayerNormalization
- LeakyRelu
- LessOrEqual
- LogSoftmax
- MeanVarianceNormalization
- Mish
- NegativeLogLikelihoodLoss
- PRelu
- Range
- ReduceL1
- ReduceL2
- ReduceLogSum
- ReduceLogSumExp
- ReduceSumSquare
- Relu
- Selu
- SequenceMap
- Shrink
- Softmax
- SoftmaxCrossEntropyLoss
- Softplus
- Softsign
- ThresholdedRelu
- ai.onnx.ml.ArrayFeatureExtractor
- ai.onnx.ml.Binarizer
- ai.onnx.ml.CastMap
- ai.onnx.ml.CategoryMapper
- ai.onnx.ml.DictVectorizer
- ai.onnx.ml.FeatureVectorizer
- ai.onnx.ml.Imputer
- ai.onnx.ml.LabelEncoder
- ai.onnx.ml.LinearClassifier
- ai.onnx.ml.LinearRegressor
- ai.onnx.ml.Normalizer
- ai.onnx.ml.OneHotEncoder
- ai.onnx.ml.SVMClassifier
- ai.onnx.ml.SVMRegressor
- ai.onnx.ml.Scaler
- ai.onnx.ml.TreeEnsembleClassifier
- ai.onnx.ml.TreeEnsembleRegressor
- ai.onnx.ml.ZipMap
- Attention
- AttnLSTM
- BeamSearch
- BiasDropout
- BiasGelu
- BiasSoftmax
- BifurcationDetector
- BitmaskBiasDropout
- BitmaskDropout
- CDist
- ComplexMul
- ComplexMulConj
- ConvTransposeWithDynamicPads
- CropAndResize
- DecoderAttention
- DequantizeBFP
- DequantizeWithOrder
- DynamicQuantizeLSTM
- DynamicQuantizeMatMul
- EmbedLayerNormalization
- ExpandDims
- FastGelu
- FusedConv
- FusedGemm
- FusedMatMul
- Gelu
- GemmFastGelu
- GreedySearch
- GridSample
- Inverse
- Irfft
- LongformerAttention
- MatMulInteger16
- MatMulIntegerToFloat
- MaxpoolWithMask
- MulInteger
- MurmurHash3
- NGramRepeatBlock
- NhwcConv
- NhwcMaxPool
- QAttention
- QGemm
- QLinearAdd
- QLinearAveragePool
- QLinearConcat
- QLinearGlobalAveragePool
- QLinearLeakyRelu
- QLinearMul
- QLinearReduceMean
- QLinearSigmoid
- QLinearSoftmax
- QOrderedAttention
- QOrderedGelu
- QOrderedLayerNormalization
- QOrderedLongformerAttention
- QOrderedMatMul
- QuantizeBFP
- QuantizeWithOrder
- QuickGelu
- ReduceSumInteger
- RemovePadding
- RestorePadding
- Rfft
- SampleOp
- SkipLayerNormalization
- Snpe
- SparseToDenseMatMul
- Tokenizer
- TorchEmbedding
- TransposeMatMul
- Unique
- WordConvEmbedding
- IsAllFinite
- QEmbedLayerNormalization
- Supported operators: