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onnx_ops.md

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Supported ONNX ops

支持的 ONNX 算子

Operator Is Supported
Abs
Acos
Acosh
And
ArgMax
ArgMin
Asin
Asinh
Add
AveragePool
BatchNormalization
Cast
Ceil
Celu
Clip
Compress
Concat
Constant
ConstantOfShape
Conv
ConvTranspose
Cos
Cosh
CumSum
DepthToSpace
DequantizeLinear
Div
Dropout
Elu
Exp
Expand
Equal
Erf
Flatten
Floor
Gather
GatherElements
GatherND
Gemm
GlobalAveragePool
GlobalMaxPool
Greater
GreaterOrEqual
GRU
Hardmax
HardSigmoid
HardSwish
Identity
InstanceNormalization
LayerNormalization
LpNormalization
LeakyRelu
Less
LessOrEqual
Log
LogSoftmax
LRN
LSTM
MatMul
MaxPool
Max
Min
Mul
Neg
Not
OneHot
Pad
Pow
PRelu
QuantizeLinear
RandomNormal
RandomNormalLike
RandomUniform
RandomUniformLike
ReduceL1
ReduceL2
ReduceLogSum
ReduceLogSumExp
ReduceMax
ReduceMean
ReduceMin
ReduceProd
ReduceSum
ReduceSumSquare
Relu
Reshape
Resize
ReverseSequence
RoiAlign
Round
Rsqrt
Selu
Shape
Sign
Sin
Sinh
Sigmoid
Size
Slice
Softmax
Softplus
Softsign
SpaceToDepth
Split
Sqrt
Squeeze
Sub
Sum
Tanh
Tile
TopK
Transpose
Trilu
ThresholdedRelu
Upsample
Unsqueeze
Where