I have checked ONNX OPs supported by RKNN Toolkit2

#1
by Mongdol1 - opened

RKNNToolkit2 is a toolkit for Rockchip's NPU.

=>dac_decode.onnx <=
| Used op| support |
| Add | O |
| Conv | O |
| ConvTranspose | O |
| Gather | O |
| Mul | O |
| Pow | O |
| Sin | O |
| Squeeze |O |
| Tanh | O |
| Transpose |O |
| Unsqueeze | O |

=> dac_encode.onnx <=
| Used op| support |
| Abs | O |
| Add | O |
| ArgMax | O |
| Clip | O |
| Concat | O |
| Conv |O |
| Div | O |
| Expand | O |
| Gather | O |
| MatMul | O |
| Mul | O |
| Neg | O |
| Pow | O |
| ReduceL2| X | ❌
| ReduceSum |O |
| Reshape | O |
| Shape | O |
| Sin | O |
| Squeeze | O |
| Sub | O |
| Transpose | O |
| Unsqueeze | O |

=> speaker_embedding_lda.onnx <=

| Used op| support |
| Add | O |
| BatchNormalization | O |
| Cast | O |
| Clip | O |
| Concat | O |
| Conv | O |
| Div | O |
| Gather | O |
| Gemm | O |
| Mul | O |
| Pow | O |
| ReduceMean | O |
| ReduceSum | O |
| Relu | O |
| Reshape | O |
| Shape | O |
| Sigmoid | O |
| Softmax | O |
| Sqrt | O |
| Sub | O |
| Unsqueeze | O |

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