## 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 | ✅ |
| Concat | ✅ |
| Constant | ✅ |
| ConstantOfShape | ✅ |
| Conv | ✅ |
| ConvTranspose | ✅ |
| Cos | ✅ |
| Cosh | ✅ |
| CumSum | ✅ |
| DepthToSpace | ✅ |
| DequantizeLinear | ✅ |
| Div | ✅ |
| Dropout | ✅ |
| Elu | ✅ |
| Equal | ✅ |
| Erf | ✅ |
| Exp | ✅ |
| Expand | ✅ |
| Flatten | ✅ |
| Floor | ✅ |
| Gather | ✅ |
| GatherElements | ✅ |
| GatherND | ✅ |
| Gemm | ✅ |
| GlobalAveragePool | ✅ |
| GlobalMaxPool | ✅ |
| Hardmax | ✅ |
| HardSigmoid | ✅ |
| HardSwish | ✅ |
| Identity | ✅ |
| InstanceNormalization | ✅ |
| LpNormalization | ✅ |
| LeakyRelu | ✅ |
| Less | ✅ |
| Log | ✅ |
| LogSoftmax | ✅ |
| LRN | ✅ |
| LSTM | ✅ |
| MatMul | ✅ |
| MaxPool | ✅ |
| Max | ✅ |
| Min | ✅ |
| Mul | ✅ |
| Neg | ✅ |
| Not | ✅ |
| OneHot | ✅ |
| Pad | ✅ |
| Pow | ✅ |
| PRelu | ✅ |
| QuantizeLinear | ✅ |
| QLinearConv | ✅ |
| QLinearMatmul | ✅ |
| RandomNormal | ✅ |
| RandomNormalLike | ✅ |
| RandomUniform | ✅ |
| RandomUniformLike | ✅ |
| Range | ✅ |
| ReduceL1 | ✅ |
| ReduceL2 | ✅ |
| ReduceLogSum | ✅ |
| ReduceLogSumExp | ✅ |
| ReduceMax | ✅ |
| ReduceMean | ✅ |
| ReduceMin | ✅ |
| ReduceProd | ✅ |
| ReduceSum | ✅ |
| ReduceSumSquare | ✅ |
| Relu | ✅ |
| Reshape | ✅ |
| Resize | ✅ |
| ReverseSequence | ✅ |
| Round | ✅ |
| ScatterND | ✅ |
| Selu | ✅ |
| Shape | ✅ |
| Sign | ✅ |
| Sin | ✅ |
| Sinh | ✅ |
| Sigmoid | ✅ |
| Sign | ✅ |
| Size | ✅ |
| Slice | ✅ |
| Softmax | ✅ |
| Softplus | ✅ |
| Softsign | ✅ |
| SpaceToDepth | ✅ |
| Split | ✅ |
| Sqrt | ✅ |
| Squeeze | ✅ |
| Sub | ✅ |
| Sum | ✅ |
| Tanh | ✅ |
| Tile | ✅ |
| TopK | ✅ |
| Transpose | ✅ |
| Upsample | ✅ |
| Unsqueeze | ✅ |
| Where | ✅ |
