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  • 👋Welcome
    • Orion
    • Why Validity ML?
  • 🧱Framework
    • Get Started
    • Contribute
    • Compatibility
    • Numbers
      • Fixed Point
        • fp.new
        • fp.new_unscaled
        • fp.from_felt
        • fp.abs
        • fp.ceil
        • fp.floor
        • fp.exp
        • fp.exp2
        • fp.log
        • fp.log2
        • fp.log10
        • fp.pow
        • fp.round
        • fp.sqrt
        • fp.sin
        • fp.atan
        • fp.sign
      • Complex Number
        • complex.acos
        • complex.acosh
        • complex.arg
        • complex.asin
        • complex.asinh
        • complex.atan
        • complex.atanh
        • complex.conjugate
        • complex.cos
        • complex.cosh
        • complex.exp
        • complex.exp2
        • complex.from_polar
        • complex.img
        • complex.ln
        • complex.log2
        • complex.log10
        • complex.mag
        • complex.new
        • complex.one
        • complex.pow
        • complex.real
        • complex.reciprocal
        • complex.sin
        • complex.sinh
        • complex.sqrt
        • complex.tan
        • complex.tanh
        • complex.to_polar
        • complex.zero
    • Operators
      • Tensor
        • tensor.new
        • tensor.at
        • tensor.min_in_tensor
        • tensor.min
        • tensor.max_in_tensor
        • tensor.max
        • tensor.stride
        • tensor.ravel_index
        • tensor.unravel_index
        • tensor.reshape
        • tensor.transpose
        • tensor.reduce_sum
        • tensor.argmax
        • tensor.argmin
        • tensor.matmul
        • tensor.exp
        • tensor.log
        • tensor.equal
        • tensor.greater
        • tensor.greater_equal
        • tensor.less
        • tensor.less_equal
        • tensor.abs
        • tensor.neg
        • tensor.ceil
        • tensor.cumsum
        • tensor.sin
        • tensor.cos
        • tensor.asin
        • tensor.flatten
        • tensor.sinh
        • tensor.asinh
        • tensor.cosh
        • tensor.acosh
        • tensor.tanh
        • tensor.atan
        • tensor.acos
        • tensor.sqrt
        • tensor.or
        • tensor.xor
        • tensor.onehot
        • tensor.slice
        • tensor.concat
        • tensor.gather
        • tensor.quantize_linear
        • tensor.dequantize_linear
        • tensor.qlinear_add
        • tensor.qlinear_mul
        • tensor.qlinear_matmul
        • tensor.qlinear_concat
        • tensor.qlinear_leakyrelu
        • tensor.nonzero
        • tensor.squeeze
        • tensor.unsqueeze
        • tensor.sign
        • tensor.clip
        • tensor.identity
        • tensor.and
        • tensor.where
        • tensor.bitwise_and
        • tensor.bitwise_xor
        • tensor.bitwise_or
        • tensor.resize
        • tensor.round
        • tensor.scatter
        • tensor.array_feature_extractor
        • tensor.binarizer
        • tensor.reduce_sum_square
        • tensor.reduce_l2
        • tensor.reduce_l1
        • tensor.reduce_prod
        • tensor.gather_elements
        • tensor.gather_nd
        • tensor.reduce_min
        • tensor.shrink
        • tensor.reduce_mean
        • tensor.pow
        • tensor.is_nan
        • tensor.is_inf
        • tensor.not
        • tensor.erf
        • tensor.reduce_log_sum
        • tensor.reduce_log_sum_exp
        • tensor.unique
        • tensor.compress
        • tensor.layer_normalization
        • tensor.scatter_nd
        • tensor.dynamic_quantize_linear
        • tensor.optional
        • tensor.reverse_sequence
        • tensor.split_to_sequence
        • tensor.range
        • tensor.hann_window
        • tensor.hamming_window
        • tensor.blackman_window
        • tensor.random_uniform_like
        • tensor.label_encoder
      • Neural Network
        • nn.relu
        • nn.leaky_relu
        • nn.sigmoid
        • nn.softmax
        • nn.softmax_zero
        • nn.logsoftmax
        • nn.softsign
        • nn.softplus
        • nn.linear
        • nn.hard_sigmoid
        • nn.thresholded_relu
        • nn.gemm
        • nn.grid_sample
        • nn.col2im
        • nn.conv_transpose
        • nn.conv
        • nn.depth_to_space
        • nn.space_to_depth
      • Machine Learning
        • Tree Ensemble Classifier
          • tree_ensemble_classifier.predict
        • Tree Ensemble Regressor
          • tree_ensemble_regressor.predict
        • Linear Classifier
          • linear_classifier.predict
        • Linear Regressor
          • linear_regressor.predict
        • SVM Regressor
          • svm_regressor.predict
        • SVM Classifier
          • svm_classifier.predict
        • Sequence
          • sequence.sequence_construct
          • sequence.sequence_empty
          • sequence.sequence_length
          • sequence.sequence_at
          • sequence.sequence_empty
          • sequence.sequence_erase
          • sequence.sequence_insert
          • sequence.concat_from_sequence
        • Normalizer
          • normalize.predict
  • 🏛️Hub
    • Models
    • Spaces
  • 🧑‍🎓Academy
    • Tutorials
      • MNIST Classification with Orion
      • Implement new operators in Orion
      • Verifiable Linear Regression Model
      • Verifiable Support Vector Machine
      • Verifiable Principal Components Analysis
      • Provable MLR: Forecasting AAVE's Lifetime Repayments
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  1. Framework

Compatibility

PreviousContributeNextNumbers

Last updated 1 year ago

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To see the full list of available ONNX Operators refer to .

You can see below the list of current supported ONNX Operators:

Operator
Implemented

Current Operators support: 118/156 (75%)

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MatMul
MatMulInteger
Equal
Greater
GreaterOrEqual
Less
LessOrEqual
Abs
Neg
Ceil
Exp
Ln
Reshape
Transpose
ArgMax
ArgMin
ReduceSum
CumSum
Cos
Sin
Asin
Flatten
Relu
LeakyRelu
ThresholdedRelu
Sigmoid
Softmax
Softmax_zero
LogSoftmax
Softsign
Softplus
Linear
HardSigmoid
GridSample
Col2im
ConvTranspose
Conv
Sinh
Asinh
Atanh
Cosh
ACosh
Tanh
Acos
Sqrt
Onehot
Slice
Concat
Gather
QuantizeLinear
DequantizeLinear
QLinearMatmul
QLinearConcat
QlinearAdd
QlinearMul
QLinearLeakyRelu
Nonzero
Squeeze
Unsqueeze
Sign
Clip
Identity
And
Xor
Or
Gemm
MinInTensor
Min
Where
BitwiseAnd
BitwiseOr
BitwiseXor
Resize
Round
MaxInTensor
Max
ReduceSumSquare
Trilu
Scatter
ArrayFeatureExtractor
Binarizer
ConstantOfShape
ReduceL1
ReduceL2
GatherElements
SequenceLength
SequenceAt
SequenceConstruct
Shrink
SequenceEmpty
ReduceL2
SequenceErase
SequenceInsert
ConcatFromSequence
IsNaN
IsInf
Not
GatherND
ReduceLogSum
Erf
Compress
ReduceLogSumExp
Layer_normalization
ScatterND
DequantizeLinear
SpaceToDepth
DepthToSpace
Optional
ReverseSequence
SplitToSequence
Range
HannWindow
HammingWindow
BlackmanWindow
RandomUniformLike
LabelEncoder
Add
Sub
Mul
Div