本文通过此脚本从def文件自动生成。不要直接修改，而是编辑算子定义。
对于算子输入/输出的可辩别的，它可以是可辩别的、不可辩别的或未定义的。如果未指定变量的可辩别的，则该变量具有未定义的可辩别的。
ai.onnx (default)
| Operator | Since version |
|---|
| Abs |
13, 6, 1 |
| Acos |
7 |
| Acosh |
9 |
| Add |
13, 7, 6, 1 |
| And |
7, 1 |
| ArgMax |
13, 12, 11, 1 |
| ArgMin |
13, 12, 11, 1 |
| Asin |
7 |
| Asinh |
9 |
| Atan |
7 |
| Atanh |
9 |
| AveragePool |
11, 10, 7, 1 |
| BatchNormalization |
9, 7, 6, 1 |
| BitShift |
11 |
| Cast |
13, 9, 6, 1 |
| Ceil |
13, 6, 1 |
| Clip |
13, 12, 11, 6, 1 |
| Compress |
11, 9 |
| Concat |
13, 11, 4, 1 |
| ConcatFromSequence |
11 |
| Constant |
13, 12, 11, 9, 1 |
| ConstantOfShape |
9 |
| Conv |
11, 1 |
| ConvInteger |
10 |
| ConvTranspose |
11, 1 |
| Cos |
7 |
| Cosh |
9 |
| CumSum |
11 |
| DepthToSpace |
13, 11, 1 |
| DequantizeLinear |
13, 10 |
| Det |
11 |
| Div |
13, 7, 6, 1 |
| Dropout |
13, 12, 10, 7, 6, 1 |
| Einsum |
12 |
| Elu |
6, 1 |
| Equal |
13, 11, 7, 1 |
| Erf |
13, 9 |
| Exp |
13, 6, 1 |
| Expand |
13, 8 |
| EyeLike |
9 |
| Flatten |
13, 11, 9, 1 |
| Floor |
13, 6, 1 |
| GRU |
7, 3, 1 |
| Gather |
13, 11, 1 |
| GatherElements |
13, 11 |
| GatherND |
13, 12, 11 |
| Gemm |
13, 11, 9, 7, 6, 1 |
| GlobalAveragePool |
1 |
| GlobalLpPool |
2, 1 |
| GlobalMaxPool |
1 |
| Greater |
13, 9, 7, 1 |
| HardSigmoid |
6, 1 |
| Hardmax |
13, 11, 1 |
| Identity |
13, 1 |
| If |
13, 11, 1 |
| InstanceNormalization |
6, 1 |
| IsInf |
10 |
| IsNaN |
13, 9 |
| LRN |
13, 1 |
| LSTM |
7, 1 |
| LeakyRelu |
6, 1 |
| Less |
13, 9, 7, 1 |
| Log |
13, 6, 1 |
| Loop |
13, 11, 1 |
| LpNormalization |
1 |
| LpPool |
11, 2, 1 |
| MatMul |
13, 9, 1 |
| MatMulInteger |
10 |
| Max |
13, 12, 8, 6, 1 |
| MaxPool |
12, 11, 10, 8, 1 |
| MaxRoiPool |
1 |
| MaxUnpool |
11, 9 |
| Mean |
13, 8, 6, 1 |
| Min |
13, 12, 8, 6, 1 |
| Mod |
13, 10 |
| Mul |
13, 7, 6, 1 |
| Multinomial |
7 |
| Neg |
13, 6, 1 |
| NonMaxSuppression |
11, 10 |
| NonZero |
13, 9 |
| Not |
1 |
| OneHot |
11, 9 |
| Or |
7, 1 |
| PRelu |
9, 7, 6, 1 |
| Pad |
13, 11, 2, 1 |
| Pow |
13, 12, 7, 1 |
| QLinearConv |
10 |
| QLinearMatMul |
10 |
| QuantizeLinear |
13, 10 |
| RNN |
7, 1 |
| RandomNormal |
1 |
| RandomNormalLike |
1 |
| RandomUniform |
1 |
| RandomUniformLike |
1 |
| Reciprocal |
13, 6, 1 |
| ReduceL1 |
13, 11, 1 |
| ReduceL2 |
13, 11, 1 |
| ReduceLogSum |
13, 11, 1 |
| ReduceLogSumExp |
13, 11, 1 |
| ReduceMax |
13, 12, 11, 1 |
| ReduceMean |
13, 11, 1 |
| ReduceMin |
13, 12, 11, 1 |
| ReduceProd |
13, 11, 1 |
| ReduceSum |
13, 11, 1 |
| ReduceSumSquare |
13, 11, 1 |
| Relu |
13, 6, 1 |
| Reshape |
13, 5, 1 |
| Resize |
13, 11, 10 |
| ReverseSequence |
10 |
| RoiAlign |
10 |
| Round |
11 |
| Scan |
11, 9, 8 |
| Scatter (deprecated) |
11, 9 |
| ScatterElements |
13, 11 |
| ScatterND |
13, 11 |
| Selu |
6, 1 |
| SequenceAt |
11 |
| SequenceConstruct |
11 |
| SequenceEmpty |
11 |
| SequenceErase |
11 |
| SequenceInsert |
11 |
| SequenceLength |
11 |
| Shape |
13, 1 |
| Shrink |
9 |
| Sigmoid |
13, 6, 1 |
| Sign |
13, 9 |
| Sin |
7 |
| Sinh |
9 |
| Size |
13, 1 |
| Slice |
13, 11, 10, 1 |
| Softplus |
1 |
| Softsign |
1 |
| SpaceToDepth |
13, 1 |
| Split |
13, 11, 2, 1 |
| SplitToSequence |
11 |
| Sqrt |
13, 6, 1 |
| Squeeze |
13, 11, 1 |
| StringNormalizer |
10 |
| Sub |
13, 7, 6, 1 |
| Sum |
13, 8, 6, 1 |
| Tan |
7 |
| Tanh |
13, 6, 1 |
| TfIdfVectorizer |
9 |
| ThresholdedRelu |
10 |
| Tile |
13, 6, 1 |
| TopK |
11, 10, 1 |
| Transpose |
13, 1 |
| Unique |
11 |
| Unsqueeze |
13, 11, 1 |
| Upsample (deprecated) |
10, 9, 7 |
| Where |
9 |
| Xor |
7, 1 |
| Function |
Since version |
| Celu |
12 |
| DynamicQuantizeLinear |
11 |
| GreaterOrEqual |
12 |
| LessOrEqual |
12 |
| LogSoftmax |
13, 11, 1 |
| MeanVarianceNormalization |
13, 9 |
| NegativeLogLikelihoodLoss |
13, 12 |
| Range |
11 |
| Softmax |
13, 11, 1 |
| SoftmaxCrossEntropyLoss |
13, 12 |
ai.onnx.preview.training