ONNX 0.1 documentation

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ONNX operators
- Function expect
- Abs
- Acos
- Acosh
- Add
- And
- ArgMax
  - ArgMax - 12 vs 13
  - ArgMax - 11 vs 12
  - ArgMax - 1 vs 11
- ArgMin
- Asin
- Asinh
- Atan
- Atanh
- AveragePool
- BatchNormalization
- Bernoulli
- BitShift
- BlackmanWindow
- Cast
- CastLike
- Ceil
- Celu
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- Col2Im
- Compress
- Concat
- ConcatFromSequence
- Constant
- ConstantOfShape
- Conv
- ConvInteger
- ConvTranspose
- Cos
- Cosh
- CumSum
- DFT
- DepthToSpace
- DequantizeLinear
- Det
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- DynamicQuantizeLinear
- Einsum
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- Exp
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- EyeLike
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- GRU
- Gather
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- GlobalMaxPool
- Greater
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- HardSigmoid
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- Hardmax
- Identity
- If
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- LRN
- LSTM
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- Log
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- Loop
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- LpPool
- MatMul
- MatMulInteger
- Max
- MaxPool
- MaxRoiPool
- MaxUnpool
- Mean
- MeanVarianceNormalization
- MelWeightMatrix
- Min
- Mish
- Mod
- Mul
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- Neg
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- NonMaxSuppression
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- Not
- OneHot
- Optional
- OptionalGetElement
- OptionalHasElement
- Or
- PRelu
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- Pow
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- QuantizeLinear
- RNN
- RandomNormal
- RandomNormalLike
- RandomUniform
- RandomUniformLike
- Range
- Reciprocal
- ReduceL1
- ReduceL2
- ReduceLogSum
- ReduceLogSumExp
- ReduceMax
- ReduceMean
- ReduceMin
- ReduceProd
- ReduceSum
- ReduceSumSquare
- Relu
- Reshape
- Resize
- ReverseSequence
- RoiAlign
- Round
- STFT
- Scan
- Scatter
- ScatterElements
- ScatterND
- Selu
- SequenceAt
- SequenceConstruct
- SequenceEmpty
- SequenceErase
- SequenceInsert
- SequenceLength
- SequenceMap
- Shape
- Shrink
- Sigmoid
- Sign
- Sin
- Sinh
- Size
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- Softmax
- SoftmaxCrossEntropyLoss
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- Softsign
- SpaceToDepth
- Split
- SplitToSequence
- Sqrt
- Squeeze
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- Sub
- Sum
- Tan
- Tanh
- TfIdfVectorizer
- ThresholdedRelu
- Tile
- TopK
- Transpose
- Trilu
- Unique
- Unsqueeze
- Upsample
- Where
- Xor
- 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
- ai.onnx.preview.training - Adagrad
- ai.onnx.preview.training - Adam
- ai.onnx.preview.training - Gradient
- ai.onnx.preview.training - Momentum
- operator table for domain main
- operator table for domain ai.onnx.ml
- operator table for domain ai.onnx.preview.training
onnx API Overview

ArgMax - 1 vs 11¶

<ArgMax - 11 vs 12

ArgMin>

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