https://github.com/onnx/onnx/blob/main/docs/Operators.md
https://github.com/PINTO0309/simple-onnx-processing-tools
- Convert each and every operator in Operators.md into a single ONNX file and commit.
- Use sog4onnx to generate the ONNX model for a single OP.
- Use sam4onnx to rewrite variables and constants.
- By preparing a large number of ONNX files of a single OP as a component and rewriting them individually with sam4onnx to the necessary parameters, any combination of OPs can be generated like a puzzle.
- All generated single-OP ONNX files are combined with snc4onnx.
- Use sna4onnx to add OPs to the generated ONNX graph and snd4onnx to remove OPs from the graph.
- The real goal of this repository is to componentize routine pre-processing and post-processing and directly replace the corresponding processing in various types of ONNX models, allowing for flexible switching between operations without modifying PyTorch or TensorFlow logic or re-exporting ONNX.
Progress List
| No. | Operator | Structure | Fin |
|---|---|---|---|
| 001 | Abs |  |
✔️ |
| 002 | Acos |  |
✔️ |
| 003 | Acosh |  |
✔️ |
| 004 | Add |  |
✔️ |
| 005 | And |  |
✔️ |
| 006 | ArgMax |  |
✔️ |
| 007 | ArgMin |  |
✔️ |
| 008 | Asin |  |
✔️ |
| 009 | Asinh |  |
✔️ |
| 010 | Atan |  |
✔️ |
| 011 | Atanh |  |
✔️ |
| 012 | AveragePool | ||
| 013 | BatchNormalization | ||
| 014 | BitShift | ||
| 015 | Cast | ||
| 016 | Ceil | ||
| 017 | Clip | ||
| 018 | Compress | ||
| 019 | Concat | ||
| 020 | ConcatFromSequence | ||
| 021 | Constant | ||
| 022 | ConstantOfShape | ||
| 023 | Conv | ||
| 024 | ConvInteger | ||
| 025 | ConvTranspose | ||
| 026 | Cos | ||
| 027 | Cosh | ||
| 028 | CumSum | ||
| 029 | DepthToSpace | ||
| 030 | DequantizeLinear | ||
| 031 | Det | ||
| 032 | Div | ||
| 033 | Dropout | ||
| 034 | Einsum | ||
| 035 | Elu | ||
| 036 | Equal | ||
| 037 | Erf | ||
| 038 | Exp | ||
| 039 | Expand | ||
| 040 | EyeLike | ||
| 041 | Flatten | ||
| 042 | Floor | ||
| 043 | GRU | ||
| 044 | Gather | ||
| 045 | GatherElements | ||
| 046 | GatherND | ||
| 047 | Gemm | ||
| 048 | GlobalAveragePool | ||
| 049 | GlobalLpPool | ||
| 050 | GlobalMaxPool | ||
| 051 | Greater | ||
| 052 | GridSample | ||
| 053 | HardSigmoid | ||
| 054 | Hardmax | ||
| 055 | Identity | ||
| 056 | If | ||
| 057 | InstanceNormalization | ||
| 058 | IsInf | ||
| 059 | IsNaN | ||
| 060 | LRN | ||
| 061 | LSTM | ||
| 062 | LeakyRelu | ||
| 063 | Less | ||
| 064 | Log | ||
| 065 | Loop | ||
| 066 | LpNormalization | ||
| 067 | LpPool | ||
| 068 | MatMul | ||
| 069 | MatMulInteger | ||
| 070 | Max | ||
| 071 | MaxPool | ||
| 072 | MaxRoiPool | ||
| 073 | MaxUnpool | ||
| 074 | Mean | ||
| 075 | Min | ||
| 076 | Mod | ||
| 077 | Mul | ||
| 078 | Multinomial | ||
| 079 | Neg | ||
| 080 | NonMaxSuppression |  |
✔️ |
| 081 | NonZero | ||
| 082 | Not | ||
| 083 | OneHot | ||
| 084 | Optional | ||
| 085 | OptionalGetElement | ||
| 086 | OptionalHasElement | ||
| 087 | Or | ||
| 088 | PRelu | ||
| 089 | Pad | ||
| 090 | Pow | ||
| 091 | QLinearConv | ||
| 092 | QLinearMatMul | ||
| 093 | QuantizeLinear | ||
| 094 | RNN | ||
| 095 | RandomNormal | ||
| 096 | RandomNormalLike | ||
| 097 | RandomUniform | ||
| 098 | RandomUniformLike | ||
| 099 | Reciprocal | ||
| 100 | ReduceL1 | ||
| 101 | ReduceL2 | ||
| 102 | ReduceLogSum | ||
| 103 | ReduceLogSumExp | ||
| 104 | ReduceMax | ||
| 105 | ReduceMean | ||
| 106 | ReduceMin | ||
| 107 | ReduceProd | ||
| 108 | ReduceSum | ||
| 109 | ReduceSumSquare | ||
| 110 | Relu | ||
| 111 | Reshape | ||
| 112 | Resize |  |
✔️ |
| 113 | ReverseSequence | ||
| 114 | RoiAlign | ||
| 115 | Round | ||
| 116 | Scan | ||
| 117 | Scatter | ||
| 118 | ScatterElements | ||
| 119 | ScatterND | ||
| 120 | Selu | ||
| 121 | SequenceAt | ||
| 122 | SequenceConstruct | ||
| 123 | SequenceEmpty | ||
| 124 | SequenceErase | ||
| 125 | SequenceInsert | ||
| 126 | SequenceLength | ||
| 127 | Shape | ||
| 128 | Shrink | ||
| 129 | Sigmoid | ||
| 130 | Sign | ||
| 131 | Sin | ||
| 132 | Sinh | ||
| 133 | Size | ||
| 134 | Slice | ||
| 135 | Softplus | ||
| 136 | Softsign | ||
| 137 | SpaceToDepth | ||
| 138 | Split | ||
| 139 | SplitToSequence | ||
| 140 | Sqrt | ||
| 141 | Squeeze | ||
| 142 | StringNormalizer | ||
| 143 | Sub | ||
| 144 | Sum | ||
| 145 | Tan | ||
| 146 | Tanh | ||
| 147 | TfIdfVectorizer | ||
| 148 | ThresholdedRelu | ||
| 149 | Tile | ||
| 150 | TopK | ||
| 151 | Transpose | ||
| 152 | Trilu | ||
| 153 | Unique | ||
| 154 | Unsqueeze | ||
| 155 | Upsample | ||
| 156 | Where | ||
| 157 | Xor | ||
| 158 | Bernoulli | ||
| 159 | CastLike | ||
| 160 | Celu | ||
| 161 | DynamicQuantizeLinear | ||
| 162 | GreaterOrEqual | ||
| 163 | HardSwish | ||
| 164 | LessOrEqual | ||
| 165 | LogSoftmax | ||
| 166 | MeanVarianceNormalization | ||
| 167 | NegativeLogLikelihoodLoss | ||
| 168 | Range | ||
| 169 | SequenceMap | ||
| 170 | Softmax | ||
| 171 | SoftmaxCrossEntropyLoss | ||
| Z001 | Normalization_rgb_imagenet |  |
✔️ |
| Z002 | Normalization_bgr_imagenet |  |
✔️ |
| Z003 | SingleClass_NonMaxSupression | 480x640 | ✔️ |
| Z004 | YOLACT_Edge_NonMaxSupression | 550x550 |
✔️ |
| Z005 | Resize_0.5x0.5 | 1x3xHxW->1x3x(Hx0.5)x(Wx0.5) |
✔️ |
| Z006 | Resize_HxW | 1x3xHxW->1x3x(Hx?)x(Wx?) |
✔️ |
| Z007 | Myriad_workaround_NonMaxSuppression |  |
✔️ |
| Z008 | TensorRT_compatible_N_batch_Resize |  |
✔️ |
| Z009 | Unity_Barracuda_compatible_GatherND |  |
✔️ |
| Z010 | Unity_Barracuda_compatible_Split |  |
✔️ |
| Z011 | YOLACT_PostProcess |  |
✔️ |
| Z012 | DAMO-YOLO_PostProcess |  |
✔️ |
| Z013 | YOLO_General_PostProcess (anchor+NMS) |  |
✔️ |
| Z014 | Inverse (com.microsoft) |  |
✔️ |
| Z015 | MSELoss |  |
✔️ |
| Z016 | EfficientNMS_TRT | ✔️ | |
| Z017 | BatchedNMS_TRT | ✔️ | |
| Z018 | AffineTransform | ✔️ | |
| Z019 | AffineGrid_4D (general purpose) | ✔️ | |
| Z020 | WarpAffine_4D | ✔️ |
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