This will be generated using the tests as reference.
- ai.onnx
- Abs
- Acos
- Acosh
- Add
- And
- ArgMax
- ArgMin
- Asin
- Asinh
- Atan
- Atanh
- AveragePool
- BatchNormalization
- BitShift
- Cast
- Ceil
- Clip
- Compress
- Concat
- ConcatFromSequence
- Constant
- ConstantOfShape
- Conv
- ConvInteger
- ConvTranspose
- Cos
- Cosh
- CumSum
- DepthToSpace
- DequantizeLinear
- Det
- Div
- Dropout
- Einsum
- Elu
- Equal
- Erf
- Exp
- Expand
- EyeLike
- Flatten
- Floor
- GRU
- Gather
- GatherElements
- GatherND
- Gemm
- GlobalAveragePool
- GlobalLpPool
- GlobalMaxPool
- Greater
- HardSigmoid
- Hardmax
- Identity
- If
- InstanceNormalization
- Inverse
- IsInf
- IsNaN
- LRN
- LSTM
- LeakyRelu
- Less
- Log
- LogSoftmax
- Loop
- LpNormalization
- LpPool
- MatMul
- MatMulInteger
- Max
- MaxPool
- MaxRoiPool
- MaxUnpool
- Mean
- Min
- Mod
- Mul
- Multinomial
- Neg
- NonMaxSuppression
- NonZero
- Not
- OneHot
- Or
- PRelu
- Pad
- Pow
- QLinearConv
- QLinearMatMul
- QuantizeLinear
- RNN
- RandomNormal
- RandomNormalLike
- RandomUniform
- RandomUniformLike
- Reciprocal
- ReduceL1
- ReduceL2
- ReduceLogSum
- ReduceLogSumExp
- ReduceMax
- ReduceMean
- ReduceMin
- ReduceProd
- ReduceSum
- ReduceSumSquare
- Relu
- Reshape
- Resize
- ReverseSequence
- RoiAlign
- Round
- Scan
- Scatter
- ScatterElements
- ScatterND
- Selu
- SequenceAt
- SequenceConstruct
- SequenceEmpty
- SequenceErase
- SequenceInsert
- SequenceLength
- Shape
- Shrink
- Sigmoid
- Sign
- Sin
- Sinh
- Size
- Slice
- Softmax
- Softplus
- Softsign
- SpaceToDepth
- Split
- SplitToSequence
- Sqrt
- Squeeze
- StringNormalizer
- Sub
- Sum
- Tan
- Tanh
- TfIdfVectorizer
- ThresholdedRelu
- Tile
- TopK
- Transpose
- UnfoldToDepth
- Unique
- Unsqueeze
- Upsample
- Where
- Xor
- Functions
- ai.onnx.training
- ai.onnx.ml