KInference Core supported operators

ai.onnx

Supported ops: 119/186

Common operators:

• Abs
• Acos
• Acosh
• Add
• And
• ArgMax
• ArgMin
• Asin
• Asinh
• Atan
• Atanh
• AveragePool
• BatchNormalization
• Bernoulli
• BitShift
• BitwiseAnd
• BitwiseNot
• BitwiseOr
• BitwiseXor
• Cast
• CastLike
• Ceil
• Celu
• CenterCropPad
• Clip
• 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
• GroupNormalization
• Hardmax
• Identity
• If
• InstanceNormalization
• IsInf
• IsNaN
• LRN
• LSTM
• LayerNormalization
• Less
• Log
• LogSoftmax
• Loop
• LpNormalization
• LpPool
• MatMul
• MatMulInteger
• Max
• MaxPool
• MaxRoiPool
• MaxUnpool
• Mean
• MelWeightMatrix
• Min
• Mod
• Mul
• Multinomial
• Neg
• NegativeLogLikelihoodLoss
• 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
• ScatterElements
• ScatterND
• SequenceAt
• SequenceConstruct
• SequenceEmpty
• SequenceErase
• SequenceInsert
• SequenceLength
• SequenceMap
• Shape
• Sigmoid
• Sign
• Sin
• Sinh
• Size
• Slice
• Softmax
• SoftmaxCrossEntropyLoss
• SpaceToDepth
• Split
• SplitToSequence
• Sqrt
• Squeeze
• StringNormalizer
• Sub
• Sum
• Tan
• Tanh
• TfIdfVectorizer
• Tile
• TopK
• Transpose
• Trilu
• Unique
• Unsqueeze
• Upsample
• Where
• Xor

Functions:

• BlackmanWindow
• DynamicQuantizeLinear
• Elu
• GreaterOrEqual
• HammingWindow
• HannWindow
• HardSigmoid
• HardSwish
• LeakyRelu
• LessOrEqual
• MeanVarianceNormalization
• Mish
• PRelu
• Range
• ReduceL1
• ReduceL2
• ReduceLogSum
• ReduceLogSumExp
• ReduceSumSquare
• Relu
• Selu
• Shrink
• Softplus
• Softsign
• ThresholdedRelu

ai.onnx.ml

Supported ops: 3/18

• ArrayFeatureExtractor
• Binarizer
• CastMap
• CategoryMapper
• DictVectorizer
• FeatureVectorizer
• Imputer
• LabelEncoder
• LinearClassifier
• LinearRegressor
• Normalizer
• OneHotEncoder
• SVMClassifier
• SVMRegressor
• Scaler
• TreeEnsembleClassifier
• TreeEnsembleRegressor
• ZipMap

ai.onnx.preview.training

Supported ops: 0/4

• Adagrad
• Adam
• Gradient
• Momentum