mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-05-14 20:48:00 +00:00
666fcbde4d
### Description <!-- Describe your changes. --> Add LeakyRelu to the list as support was added a while ago. ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. -->
2.3 KiB
2.3 KiB
| Operator | Note |
|---|---|
| ai.onnx:Abs | |
| ai.onnx:Add | |
| ai.onnx:AveragePool | Only 2D Pool is supported. |
| ai.onnx:BatchNormalization | |
| ai.onnx:Cast | |
| ai.onnx:Clip | |
| ai.onnx:Concat | |
| ai.onnx:Conv | Only 2D Conv is supported. Weights and bias should be constant. |
| ai.onnx:DepthToSpace | Only DCR mode DepthToSpace is supported. |
| ai.onnx:DequantizeLinear | All quantization scales and zero points should be constant. |
| ai.onnx:Div | |
| ai.onnx:Elu | |
| ai.onnx:Exp | |
| ai.onnx:Flatten | |
| ai.onnx:Floor | |
| ai.onnx:Gather | Input indices should be constant if not int32 type. |
| ai.onnx:Gemm | If input B is not constant, transB should be 1. |
| ai.onnx:GlobalAveragePool | Only 2D Pool is supported. |
| ai.onnx:GlobalMaxPool | Only 2D Pool is supported. |
| ai.onnx:Identity | |
| ai.onnx:LeakyRelu | |
| ai.onnx:Log | |
| ai.onnx:LRN | |
| ai.onnx:MatMul | |
| ai.onnx:MaxPool | Only 2D Pool is supported. |
| ai.onnx:Max | |
| ai.onnx:Min | |
| ai.onnx:Mul | |
| ai.onnx:Neg | |
| ai.onnx:Pad | Only constant mode Pad is supported. Input pads and constant_value should be constant. Input pads values should be non-negative. |
| ai.onnx:Pow | |
| ai.onnx:PRelu | |
| ai.onnx:QLinearConv | Only 2D Conv is supported. Weights and bias should be constant. All quantization scales and zero points should be constant. |
| ai.onnx:QLinearMatMul | All quantization scales and zero points should be constant. |
| ai.onnx:QuantizeLinear | All quantization scales and zero points should be constant. |
| ai.onnx:ReduceMean | |
| ai.onnx:Relu | |
| ai.onnx:Reshape | |
| ai.onnx:Resize | Only 2D Resize is supported. |
| ai.onnx:Sigmoid | |
| ai.onnx:Sin | |
| ai.onnx:Slice | |
| ai.onnx:Softmax | |
| ai.onnx:Split | Number of splits must evenly divide split axis size. Input split should be constant if provided. |
| ai.onnx:Sqrt | |
| ai.onnx:Squeeze | Input axes should be constant. |
| ai.onnx:Sub | |
| ai.onnx:Tanh | |
| ai.onnx:Transpose | |
| ai.onnx:Unsqueeze | Input axes should be constant. |
| com.microsoft:QLinearAdd | All quantization scales and zero points should be constant. |
| com.microsoft:QLinearAveragePool | Only 2D Pool is supported. All quantization scales and zero points should be constant. |
| com.microsoft:QLinearSigmoid | All quantization scales and zero points should be constant. |