onnx/defs/operator_sets.h

0001 /*
0002  * SPDX-License-Identifier: Apache-2.0
0003  */
0004
0005 #pragma once
0006
0007 #include "onnx/defs/schema.h"
0008
0009 namespace ONNX_NAMESPACE {
0010
0011 // Forward declarations for ai.onnx version 1
0012 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Abs);
0013 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Add);
0014 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, And);
0015 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ArgMax);
0016 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ArgMin);
0017 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, AveragePool);
0018 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, BatchNormalization);
0019 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Cast);
0020 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Ceil);
0021 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Clip);
0022 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Concat);
0023 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Constant);
0024 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Conv);
0025 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ConvTranspose);
0026 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, DepthToSpace);
0027 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Div);
0028 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Dropout);
0029 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Elu);
0030 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Equal);
0031 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Exp);
0032 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Flatten);
0033 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Floor);
0034 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GRU);
0035 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Gather);
0036 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Gemm);
0037 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GlobalAveragePool);
0038 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GlobalLpPool);
0039 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GlobalMaxPool);
0040 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Greater);
0041 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, HardSigmoid);
0042 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Hardmax);
0043 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Identity);
0044 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, If);
0045 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, InstanceNormalization);
0046 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LRN);
0047 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LSTM);
0048 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LeakyRelu);
0049 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Less);
0050 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Log);
0051 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LogSoftmax);
0052 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Loop);
0053 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LpNormalization);
0054 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LpPool);
0055 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, MatMul);
0056 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Max);
0057 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, MaxPool);
0058 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, MaxRoiPool);
0059 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Mean);
0060 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Min);
0061 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Mul);
0062 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Neg);
0063 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Not);
0064 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Or);
0065 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, PRelu);
0066 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Pad);
0067 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Pow);
0068 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RNN);
0069 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomNormal);
0070 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomNormalLike);
0071 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomUniform);
0072 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomUniformLike);
0073 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Reciprocal);
0074 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceL1);
0075 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceL2);
0076 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceLogSum);
0077 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceLogSumExp);
0078 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceMax);
0079 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceMean);
0080 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceMin);
0081 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceProd);
0082 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceSum);
0083 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceSumSquare);
0084 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Relu);
0085 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Reshape);
0086 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Selu);
0087 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Shape);
0088 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sigmoid);
0089 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Size);
0090 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Slice);
0091 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Softmax);
0092 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Softplus);
0093 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Softsign);
0094 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, SpaceToDepth);
0095 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Split);
0096 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sqrt);
0097 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Squeeze);
0098 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sub);
0099 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sum);
0100 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Tanh);
0101 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Tile);
0102 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, TopK);
0103 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Transpose);
0104 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Unsqueeze);
0105 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Upsample);
0106 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Xor);
0107
0108 // Iterate over schema from ai.onnx version 1
0109 class OpSet_Onnx_ver1 {
0110  public:
0111   static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
0112     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Abs)>());
0113     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Add)>());
0114     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, And)>());
0115     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ArgMax)>());
0116     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ArgMin)>());
0117     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, AveragePool)>());
0118     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, BatchNormalization)>());
0119     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Cast)>());
0120     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Ceil)>());
0121     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Clip)>());
0122     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Concat)>());
0123     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Constant)>());
0124     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Conv)>());
0125     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ConvTranspose)>());
0126     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, DepthToSpace)>());
0127     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Div)>());
0128     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Dropout)>());
0129     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Elu)>());
0130     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Equal)>());
0131     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Exp)>());
0132     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Flatten)>());
0133     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Floor)>());
0134     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GRU)>());
0135     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Gather)>());
0136     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Gemm)>());
0137     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GlobalAveragePool)>());
0138     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GlobalLpPool)>());
0139     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GlobalMaxPool)>());
0140     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Greater)>());
0141     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, HardSigmoid)>());
0142     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Hardmax)>());
0143     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Identity)>());
0144     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, If)>());
0145     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, InstanceNormalization)>());
0146     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LRN)>());
0147     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LSTM)>());
0148     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LeakyRelu)>());
0149     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Less)>());
0150     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Log)>());
0151     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LogSoftmax)>());
0152     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Loop)>());
0153     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LpNormalization)>());
0154     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LpPool)>());
0155     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, MatMul)>());
0156     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Max)>());
0157     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, MaxPool)>());
0158     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, MaxRoiPool)>());
0159     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Mean)>());
0160     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Min)>());
0161     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Mul)>());
0162     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Neg)>());
0163     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Not)>());
0164     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Or)>());
0165     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, PRelu)>());
0166     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Pad)>());
0167     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Pow)>());
0168     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RNN)>());
0169     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomNormal)>());
0170     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomNormalLike)>());
0171     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomUniform)>());
0172     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomUniformLike)>());
0173     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Reciprocal)>());
0174     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceL1)>());
0175     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceL2)>());
0176     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceLogSum)>());
0177     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceLogSumExp)>());
0178     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceMax)>());
0179     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceMean)>());
0180     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceMin)>());
0181     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceProd)>());
0182     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceSum)>());
0183     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceSumSquare)>());
0184     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Relu)>());
0185     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Reshape)>());
0186     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Selu)>());
0187     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Shape)>());
0188     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sigmoid)>());
0189     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Size)>());
0190     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Slice)>());
0191     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Softmax)>());
0192     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Softplus)>());
0193     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Softsign)>());
0194     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, SpaceToDepth)>());
0195     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Split)>());
0196     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sqrt)>());
0197     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Squeeze)>());
0198     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sub)>());
0199     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sum)>());
0200     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Tanh)>());
0201     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Tile)>());
0202     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, TopK)>());
0203     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Transpose)>());
0204     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Unsqueeze)>());
0205     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Upsample)>());
0206     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Xor)>());
0207   }
0208 };
0209
0210 // Forward declarations for ai.onnx version 2
0211 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, GlobalLpPool);
0212 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, LpPool);
0213 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, Pad);
0214 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, Split);
0215
0216 // Iterate over schema from ai.onnx version 2
0217 class OpSet_Onnx_ver2 {
0218  public:
0219   static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
0220     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, GlobalLpPool)>());
0221     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, LpPool)>());
0222     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, Pad)>());
0223     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, Split)>());
0224   }
0225 };
0226
0227 // Forward declarations for ai.onnx version 3
0228 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 3, GRU);
0229
0230 // Iterate over schema from ai.onnx version 3
0231 class OpSet_Onnx_ver3 {
0232  public:
0233   static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
0234     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 3, GRU)>());
0235   }
0236 };
0237
0238 // Forward declarations for ai.onnx version 4
0239 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 4, Concat);
0240
0241 // Iterate over schema from ai.onnx version 4
0242 class OpSet_Onnx_ver4 {
0243  public:
0244   static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
0245     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 4, Concat)>());
0246   }
0247 };
0248
0249 // Forward declarations for ai.onnx version 5
0250 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 5, Reshape);
0251
0252 // Iterate over schema from ai.onnx version 5
0253 class OpSet_Onnx_ver5 {
0254  public:
0255   static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
0256     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 5, Reshape)>());
0257   }
0258 };
0259
0260 // Forward declarations for ai.onnx version 6
0261 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Abs);
0262 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Add);
0263 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, BatchNormalization);
0264 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Cast);
0265 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Ceil);
0266 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Clip);
0267 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Div);
0268 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Dropout);
0269 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Elu);
0270 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Exp);
0271 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Floor);
0272 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Gemm);
0273 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, HardSigmoid);
0274 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, InstanceNormalization);
0275 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, LeakyRelu);
0276 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Log);
0277 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Max);
0278 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Mean);
0279 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Min);
0280 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Mul);
0281 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Neg);
0282 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, PRelu);
0283 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Reciprocal);
0284 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Relu);
0285 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Selu);
0286 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sigmoid);
0287 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sqrt);
0288 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sub);
0289 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sum);
0290 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Tanh);
0291 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Tile);
0292
0293 // Iterate over schema from ai.onnx version 6
0294 class OpSet_Onnx_ver6 {
0295  public:
0296   static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
0297     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Abs)>());
0298     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Add)>());
0299     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, BatchNormalization)>());
0300     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Cast)>());
0301     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Ceil)>());
0302     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Clip)>());
0303     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Div)>());
0304     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Dropout)>());
0305     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Elu)>());
0306     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Exp)>());
0307     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Floor)>());
0308     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Gemm)>());
0309     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, HardSigmoid)>());
0310     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, InstanceNormalization)>());
0311     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, LeakyRelu)>());
0312     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Log)>());
0313     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Max)>());
0314     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Mean)>());
0315     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Min)>());
0316     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Mul)>());
0317     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Neg)>());
0318     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, PRelu)>());
0319     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Reciprocal)>());
0320     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Relu)>());
0321     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Selu)>());
0322     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sigmoid)>());
0323     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sqrt)>());
0324     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sub)>());
0325     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sum)>());
0326     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Tanh)>());
0327     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Tile)>());
0328   }
0329 };
0330
0331 // Forward declarations for ai.onnx version 7
0332 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Acos);
0333 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Add);
0334 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, And);
0335 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Asin);
0336 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Atan);
0337 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, AveragePool);
0338 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, BatchNormalization);
0339 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Cos);
0340 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Div);
0341 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Dropout);
0342 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Equal);
0343 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Gemm);
0344 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Greater);
0345 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, GRU);
0346 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Less);
0347 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, LSTM);
0348 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Mul);
0349 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Or);
0350 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Pow);
0351 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, RNN);
0352 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Sin);
0353 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Sub);
0354 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Tan);
0355 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Upsample);
0356 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Multinomial);
0357 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Xor);
0358 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, PRelu);
0359
0360 // Iterate over schema from ai.onnx version 7
0361 class OpSet_Onnx_ver7 {
0362  public:
0363   static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
0364     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Acos)>());
0365     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Add)>());
0366     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, And)>());
0367     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Asin)>());
0368     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Atan)>());
0369     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, AveragePool)>());
0370     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, BatchNormalization)>());
0371     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Cos)>());
0372     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Div)>());
0373     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Dropout)>());
0374     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Equal)>());
0375     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Gemm)>());
0376     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Greater)>());
0377     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, GRU)>());
0378     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Less)>());
0379     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, LSTM)>());
0380     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Mul)>());
0381     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Or)>());
0382     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Pow)>());
0383     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, RNN)>());
0384     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Sin)>());
0385     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Sub)>());
0386     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Tan)>());
0387     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Upsample)>());
0388     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Multinomial)>());
0389     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Xor)>());
0390     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, PRelu)>());
0391   }
0392 };
0393
0394 // Forward declarations for ai.onnx version 8
0395 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Expand);
0396 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Max);
0397 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Min);
0398 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Sum);
0399 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Mean);
0400 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, MaxPool);
0401 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Scan);
0402
0403 // Iterate over schema from ai.onnx version 8
0404 class OpSet_Onnx_ver8 {
0405  public:
0406   static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
0407     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Expand)>());
0408     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Min)>());
0409     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Max)>());
0410     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Sum)>());
0411     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Mean)>());
0412     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, MaxPool)>());
0413     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Scan)>());
0414   }
0415 };
0416
0417 // Forward declarations for ai.onnx version 9
0418 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, BatchNormalization);
0419 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Compress);
0420 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, ConstantOfShape);
0421 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, EyeLike);
0422 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Greater);
0423 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Less);
0424 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Upsample);
0425 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, MaxUnpool);
0426 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Constant);
0427 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, MatMul);
0428 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, OneHot);
0429 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, PRelu);
0430 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Gemm);
0431 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Flatten);
0432 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Sinh);
0433 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Cosh);
0434 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Asinh);
0435 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Acosh);
0436 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Atanh);
0437 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Shrink);
0438 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, IsNaN);
0439 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Sign);
0440 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Scan);
0441 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Erf);
0442 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Scatter);
0443 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Where);
0444 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Cast);
0445 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, NonZero);
0446 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, TfIdfVectorizer);
0447 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, MeanVarianceNormalization);
0448
0449 // Iterate over schema from ai.onnx version 9
0450 class OpSet_Onnx_ver9 {
0451  public:
0452   static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
0453     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, BatchNormalization)>());
0454     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Compress)>());
0455     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, ConstantOfShape)>());
0456     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, EyeLike)>());
0457     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Greater)>());
0458     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Less)>());
0459     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Upsample)>());
0460     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, MaxUnpool)>());
0461     // Add more types' support to Constant/MatMul/PRelu/Gemm/Flatten op.
0462     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Constant)>());
0463     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, MatMul)>());
0464     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, OneHot)>());
0465     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, PRelu)>());
0466     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Gemm)>());
0467     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Flatten)>());
0468     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Scatter)>());
0469     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Sinh)>());
0470     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Cosh)>());
0471     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Asinh)>());
0472     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Acosh)>());
0473     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Atanh)>());
0474     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Shrink)>());
0475     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, IsNaN)>());
0476     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Sign)>());
0477     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Scan)>());
0478     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Erf)>());
0479     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Cast)>());
0480     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Where)>());
0481     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, NonZero)>());
0482     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, TfIdfVectorizer)>());
0483     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, MeanVarianceNormalization)>());
0484   }
0485 };
0486
0487 // Forward declarations for ai.onnx version 10
0488 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, StringNormalizer);
0489 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Upsample);
0490 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Resize);
0491 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, TopK);
0492 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, MaxPool);
0493 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Mod);
0494 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, AveragePool);
0495 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Slice);
0496 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, ThresholdedRelu);
0497 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Dropout);
0498 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, MatMulInteger);
0499 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, QLinearMatMul);
0500 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, ConvInteger);
0501 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, QLinearConv);
0502 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, QuantizeLinear);
0503 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, DequantizeLinear);
0504 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, IsInf);
0505 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, NonMaxSuppression);
0506 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, ReverseSequence);
0507 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, RoiAlign);
0508
0509 // Iterate over schema from ai.onnx version 10
0510 class OpSet_Onnx_ver10 {
0511  public:
0512   static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
0513     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Upsample)>());
0514     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Resize)>());
0515     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, StringNormalizer)>());
0516     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, TopK)>());
0517     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, MaxPool)>());
0518     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Mod)>());
0519     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, AveragePool)>());
0520     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Slice)>());
0521     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, ThresholdedRelu)>());
0522     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Dropout)>());
0523     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, MatMulInteger)>());
0524     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, QLinearMatMul)>());
0525     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, ConvInteger)>());
0526     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, QLinearConv)>());
0527     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, QuantizeLinear)>());
0528     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, DequantizeLinear)>());
0529     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, IsInf)>());
0530     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, NonMaxSuppression)>());
0531     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, ReverseSequence)>());
0532     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, RoiAlign)>());
0533   }
0534 };
0535
0536 // Forward declarations for ai.onnx version 11
0537 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Loop);
0538 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, CumSum);
0539 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Round);
0540 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, BitShift);
0541 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Unique);
0542 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, TopK);
0543 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, DepthToSpace);
0544 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Equal);
0545 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Constant);
0546 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, DynamicQuantizeLinear);
0547 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, GatherElements);
0548 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ScatterElements);
0549 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Scatter);
0550 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Clip);
0551 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Resize);
0552 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Range);
0553 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Det);
0554 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ScatterND);
0555 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, GatherND);
0556 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Gather);
0557 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, OneHot);
0558 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Slice);
0559 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Squeeze);
0560 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Unsqueeze);
0561 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Flatten);
0562 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ArgMax);
0563 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ArgMin);
0564 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceL1);
0565 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceL2);
0566 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceLogSum);
0567 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceLogSumExp);
0568 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceMax);
0569 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceMean);
0570 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceMin);
0571 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceProd);
0572 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceSum);
0573 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceSumSquare);
0574 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Compress);
0575 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Concat);
0576 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Hardmax);
0577 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, LogSoftmax);
0578 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Softmax);
0579 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Scan);
0580 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Split);
0581 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, AveragePool);
0582 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, MaxPool);
0583 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, MaxUnpool);
0584 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, LpPool);
0585 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Conv);
0586 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ConvTranspose);
0587 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceEmpty);
0588 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceConstruct);
0589 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceInsert);
0590 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceAt);
0591 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceErase);
0592 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceLength);
0593 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SplitToSequence);
0594 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ConcatFromSequence);
0595 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Pad);
0596 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Gemm);
0597 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, If);
0598 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, NonMaxSuppression);
0599
0600 // Iterate over schema from ai.onnx version 11
0601 class OpSet_Onnx_ver11 {
0602  public:
0603   static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
0604     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Loop)>());
0605     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, BitShift)>());
0606     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Unique)>());
0607     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, CumSum)>());
0608     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Round)>());
0609     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, TopK)>());
0610     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, DepthToSpace)>());
0611     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Equal)>());
0612     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Constant)>());
0613     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, DynamicQuantizeLinear)>());
0614     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, GatherElements)>());
0615     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ScatterElements)>());
0616     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Scatter)>());
0617     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Clip)>());
0618     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Resize)>());
0619     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Range)>());
0620     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Det)>());
0621     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ScatterND)>());
0622     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, GatherND)>());
0623     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Gather)>());
0624     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, OneHot)>());
0625     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Slice)>());
0626     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Squeeze)>());
0627     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Unsqueeze)>());
0628     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Flatten)>());
0629     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ArgMin)>());
0630     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ArgMax)>());
0631     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceL1)>());
0632     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceL2)>());
0633     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceLogSum)>());
0634     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceLogSumExp)>());
0635     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceMax)>());
0636     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceMean)>());
0637     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceMin)>());
0638     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceProd)>());
0639     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceSum)>());
0640     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceSumSquare)>());
0641     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Compress)>());
0642     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Concat)>());
0643     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Hardmax)>());
0644     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, LogSoftmax)>());
0645     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Softmax)>());
0646     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Scan)>());
0647     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Split)>());
0648     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, AveragePool)>());
0649     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, MaxPool)>());
0650     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, MaxUnpool)>());
0651     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, LpPool)>());
0652     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Conv)>());
0653     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ConvTranspose)>());
0654     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceEmpty)>());
0655     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceConstruct)>());
0656     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceInsert)>());
0657     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceAt)>());
0658     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceErase)>());
0659     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceLength)>());
0660     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SplitToSequence)>());
0661     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ConcatFromSequence)>());
0662     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Pad)>());
0663     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Gemm)>());
0664     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, If)>());
0665     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, NonMaxSuppression)>());
0666   }
0667 };
0668
0669 // Forward declarations for ai.onnx version 12
0670 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ArgMax);
0671 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ArgMin);
0672 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Clip);
0673 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Einsum);
0674 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, MaxPool);
0675 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ReduceMax);
0676 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ReduceMin);
0677 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, GatherND);
0678 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, NegativeLogLikelihoodLoss);
0679 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Dropout);
0680 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Constant);
0681 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Celu);
0682 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Max);
0683 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Min);
0684 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, LessOrEqual);
0685 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, GreaterOrEqual);
0686 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, SoftmaxCrossEntropyLoss);
0687 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Pow);
0688
0689 // Iterate over schema from ai.onnx version 12
0690 class OpSet_Onnx_ver12 {
0691  public:
0692   static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
0693     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ArgMax)>());
0694     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ArgMin)>());
0695     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Clip)>());
0696     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Einsum)>());
0697     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, MaxPool)>());
0698     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ReduceMax)>());
0699     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ReduceMin)>());
0700     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, GatherND)>());
0701     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, NegativeLogLikelihoodLoss)>());
0702     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Dropout)>());
0703     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Constant)>());
0704     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Celu)>());
0705     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Max)>());
0706     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Min)>());
0707     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, LessOrEqual)>());
0708     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, GreaterOrEqual)>());
0709     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, SoftmaxCrossEntropyLoss)>());
0710     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Pow)>());
0711   }
0712 };
0713 // Forward declarations for ai.onnx version 13
0714 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Constant);
0715 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Greater);
0716 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Less);
0717 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Equal);
0718 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Add);
0719 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sub);
0720 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Mul);
0721 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Div);
0722 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Softmax);
0723 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, LogSoftmax);
0724 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Hardmax);
0725 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Mod);
0726 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Neg);
0727 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Abs);
0728 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Reciprocal);
0729 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Floor);
0730 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Ceil);
0731 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sqrt);
0732 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Relu);
0733 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Exp);
0734 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Log);
0735 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Tanh);
0736 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Pow);
0737 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sigmoid);
0738 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Max);
0739 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Min);
0740 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sum);
0741 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Mean);
0742 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Clip);
0743 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Gemm);
0744 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, MatMul);
0745 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Expand);
0746 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sign);
0747 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Erf);
0748 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, SoftmaxCrossEntropyLoss);
0749 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, NegativeLogLikelihoodLoss);
0750 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Dropout);
0751 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Flatten);
0752 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, LRN);
0753 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, MeanVarianceNormalization);
0754 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceMax);
0755 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceMin);
0756 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceSum);
0757 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceSumSquare);
0758 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceMean);
0759 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceProd);
0760 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceLogSum);
0761 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceLogSumExp);
0762 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceL1);
0763 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceL2);
0764 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ArgMax);
0765 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ArgMin);
0766 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Cast);
0767 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Reshape);
0768 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Shape);
0769 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Size);
0770 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Concat);
0771 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Split);
0772 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Slice);
0773 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Transpose);
0774 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ScatterND);
0775 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ScatterElements);
0776 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Gather);
0777 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, GatherElements);
0778 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Squeeze);
0779 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Unsqueeze);
0780 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, SpaceToDepth);
0781 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, DepthToSpace);
0782 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Tile);
0783 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Resize);
0784 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Identity);
0785 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, IsNaN);
0786 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, NonZero);
0787 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, GatherND);
0788 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Pad);
0789 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, QuantizeLinear);
0790 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, DequantizeLinear);
0791 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Loop);
0792 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, If);
0793
0794 // Iterate over schema from ai.onnx version 13
0795 class OpSet_Onnx_ver13 {
0796  public:
0797   static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
0798     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Constant)>());
0799     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Greater)>());
0800     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Less)>());
0801     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Equal)>());
0802     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Add)>());
0803     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sub)>());
0804     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Mul)>());
0805     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Div)>());
0806     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Softmax)>());
0807     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, LogSoftmax)>());
0808     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Hardmax)>());
0809     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Mod)>());
0810     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Neg)>());
0811     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Abs)>());
0812     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Reciprocal)>());
0813     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Floor)>());
0814     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Ceil)>());
0815     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sqrt)>());
0816     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Relu)>());
0817     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Exp)>());
0818     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Log)>());
0819     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Tanh)>());
0820     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Pow)>());
0821     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sigmoid)>());
0822     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Max)>());
0823     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Min)>());
0824     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sum)>());
0825     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Mean)>());
0826     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Clip)>());
0827     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Gemm)>());
0828     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, MatMul)>());
0829     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Expand)>());
0830     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sign)>());
0831     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Erf)>());
0832     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, SoftmaxCrossEntropyLoss)>());
0833     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, NegativeLogLikelihoodLoss)>());
0834     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Dropout)>());
0835     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Flatten)>());
0836     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, LRN)>());
0837     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, MeanVarianceNormalization)>());
0838     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceMax)>());
0839     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceMin)>());
0840     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceSum)>());
0841     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceSumSquare)>());
0842     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceMean)>());
0843     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceProd)>());
0844     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceLogSum)>());
0845     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceLogSumExp)>());
0846     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceL1)>());
0847     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceL2)>());
0848     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ArgMax)>());
0849     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ArgMin)>());
0850     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Cast)>());
0851     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Reshape)>());
0852     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Shape)>());
0853     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Size)>());
0854     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Concat)>());
0855     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Split)>());
0856     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Slice)>());
0857     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Transpose)>());
0858     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ScatterND)>());
0859     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ScatterElements)>());
0860     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Gather)>());
0861     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, GatherElements)>());
0862     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Squeeze)>());
0863     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Unsqueeze)>());
0864     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, SpaceToDepth)>());
0865     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, DepthToSpace)>());
0866     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Tile)>());
0867     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Resize)>());
0868     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Identity)>());
0869     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, IsNaN)>());
0870     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, NonZero)>());
0871     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, GatherND)>());
0872     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Pad)>());
0873     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, QuantizeLinear)>());
0874     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, DequantizeLinear)>());
0875     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Loop)>());
0876     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, If)>());
0877   }
0878 };
0879
0880 // Forward declarations for ai.onnx version 14
0881 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, CumSum);
0882 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Relu);
0883 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Reshape);
0884 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, GRU);
0885 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, LSTM);
0886 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, RNN);
0887 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Trilu);
0888 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, BatchNormalization);
0889 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, HardSwish);
0890 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Add);
0891 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Sub);
0892 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Mul);
0893 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Div);
0894 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Identity);
0895
0896 // Iterate over schema from ai.onnx version 14
0897 class OpSet_Onnx_ver14 {
0898  public:
0899   static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
0900     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, CumSum)>());
0901     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Relu)>());
0902     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Reshape)>());
0903     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, GRU)>());
0904     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, LSTM)>());
0905     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, RNN)>());
0906     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Trilu)>());
0907     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, BatchNormalization)>());
0908     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, HardSwish)>());
0909     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Add)>());
0910     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Sub)>());
0911     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Mul)>());
0912     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Div)>());
0913     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Identity)>());
0914   }
0915 };
0916
0917 // Forward declarations for ai.onnx version 15
0918 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, BatchNormalization);
0919 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Bernoulli);
0920 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Pow);
0921 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Optional);
0922 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, OptionalHasElement);
0923 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, OptionalGetElement);
0924 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, CastLike);
0925 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Shape);
0926
0927 // Iterate over schema from ai.onnx version 15
0928 class OpSet_Onnx_ver15 {
0929  public:
0930   static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
0931     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, BatchNormalization)>());
0932     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Bernoulli)>());
0933     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Pow)>());
0934     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Optional)>());
0935     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, OptionalHasElement)>());
0936     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, OptionalGetElement)>());
0937     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, CastLike)>());
0938     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Shape)>());
0939   }
0940 };
0941
0942 // Forward declarations for ai.onnx version 16
0943 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, RoiAlign);
0944 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, ScatterND);
0945 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, ScatterElements);
0946 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, If);
0947 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Loop);
0948 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Identity);
0949 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Where);
0950 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, GridSample);
0951 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Scan);
0952 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, LessOrEqual);
0953 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, GreaterOrEqual);
0954 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, LeakyRelu);
0955 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, PRelu);
0956
0957 // Iterate over schema from ai.onnx version 16
0958 class OpSet_Onnx_ver16 {
0959  public:
0960   static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
0961     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, RoiAlign)>());
0962     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, ScatterND)>());
0963     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, ScatterElements)>());
0964     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, If)>());
0965     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Loop)>());
0966     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Identity)>());
0967     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Where)>());
0968     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, GridSample)>());
0969     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Scan)>());
0970     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, LessOrEqual)>());
0971     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, GreaterOrEqual)>());
0972     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, LeakyRelu)>());
0973     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, PRelu)>());
0974   }
0975 };
0976
0977 // Forward declarations for ai.onnx version 17
0978 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, LayerNormalization);
0979 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, SequenceMap);
0980 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, DFT);
0981 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, HannWindow);
0982 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, HammingWindow);
0983 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, BlackmanWindow);
0984 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, MelWeightMatrix);
0985 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, STFT);
0986
0987 // Iterate over schema from ai.onnx version 17
0988 class OpSet_Onnx_ver17 {
0989  public:
0990   static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
0991     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, LayerNormalization)>());
0992     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, SequenceMap)>());
0993     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, DFT)>());
0994     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, HannWindow)>());
0995     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, HammingWindow)>());
0996     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, BlackmanWindow)>());
0997     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, MelWeightMatrix)>());
0998     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, STFT)>());
0999   }
1000 };
1001
1002 // Forward declarations for ai.onnx version 18
1003 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, Pad);
1004 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, CenterCropPad);
1005 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, Resize);
1006 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, Mish);
1007 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, OptionalGetElement);
1008 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, OptionalHasElement);
1009 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, Split);
1010 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, Col2Im);
1011 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ScatterND);
1012 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ScatterElements);
1013 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceSumSquare);
1014 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceLogSum);
1015 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceLogSumExp);
1016 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceL1);
1017 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceL2);
1018 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceMax);
1019 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceMin);
1020 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceMean);
1021 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceProd);
1022 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, BitwiseAnd);
1023 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, BitwiseOr);
1024 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, BitwiseXor);
1025 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, BitwiseNot);
1026 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, GroupNormalization);
1027 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, LpPool);
1028
1029 // Iterate over schema from ai.onnx version 18
1030 class OpSet_Onnx_ver18 {
1031  public:
1032   static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
1033     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, Pad)>());
1034     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, CenterCropPad)>());
1035     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, Resize)>());
1036     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, Mish)>());
1037     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, OptionalGetElement)>());
1038     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, Split)>());
1039     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, OptionalHasElement)>());
1040     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, Col2Im)>());
1041     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ScatterND)>());
1042     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ScatterElements)>());
1043     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceSumSquare)>());
1044     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceLogSum)>());
1045     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceLogSumExp)>());
1046     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceL1)>());
1047     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceL2)>());
1048     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceMax)>());
1049     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceMin)>());
1050     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceMean)>());
1051     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceProd)>());
1052     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, BitwiseAnd)>());
1053     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, BitwiseOr)>());
1054     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, BitwiseXor)>());
1055     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, BitwiseNot)>());
1056     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, GroupNormalization)>());
1057     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, LpPool)>());
1058   }
1059 };
1060
1061 // Forward declarations for ai.onnx version 19
1062 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Equal);
1063 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, AveragePool);
1064 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Cast);
1065 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, CastLike);
1066 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Constant);
1067 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, DeformConv);
1068 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, DequantizeLinear);
1069 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Identity);
1070 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, If);
1071 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Loop);
1072 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Pad);
1073 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, QuantizeLinear);
1074 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Resize);
1075 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Reshape);
1076 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Scan);
1077 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Shape);
1078 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Size);
1079
1080 // Iterate over schema from ai.onnx version 19
1081 class OpSet_Onnx_ver19 {
1082  public:
1083   static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
1084     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Equal)>());
1085     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, AveragePool)>());
1086     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Cast)>());
1087     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, CastLike)>());
1088     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Constant)>());
1089     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, DeformConv)>());
1090     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, DequantizeLinear)>());
1091     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Identity)>());
1092     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, If)>());
1093     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Loop)>());
1094     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Pad)>());
1095     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, QuantizeLinear)>());
1096     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Reshape)>());
1097     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Resize)>());
1098     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Scan)>());
1099     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Shape)>());
1100     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Size)>());
1101   }
1102 };
1103
1104 // Forward declarations for ai.onnx version 20
1105 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, AffineGrid);
1106 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, ConstantOfShape);
1107 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, DFT);
1108 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, Gelu);
1109 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, GridSample);
1110 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, ImageDecoder);
1111 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, IsInf);
1112 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, IsNaN);
1113 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, ReduceMax);
1114 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, ReduceMin);
1115 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, RegexFullMatch);
1116 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, StringConcat);
1117 class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, StringSplit);
1118
1119 // Iterate over schema from ai.onnx version 20
1120 class OpSet_Onnx_ver20 {
1121  public:
1122   static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
1123     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, AffineGrid)>());
1124     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, ConstantOfShape)>());
1125     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, DFT)>());
1126     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, Gelu)>());
1127     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, GridSample)>());
1128     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, ImageDecoder)>());
1129     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, IsInf)>());
1130     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, IsNaN)>());
1131     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, ReduceMax)>());
1132     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, ReduceMin)>());
1133     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, RegexFullMatch)>());
1134     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, StringConcat)>());
1135     fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, StringSplit)>());
1136   }
1137 };
1138
1139 inline void RegisterOnnxOperatorSetSchema() {
1140   RegisterOpSetSchema<OpSet_Onnx_ver1>();
1141   RegisterOpSetSchema<OpSet_Onnx_ver2>();
1142   RegisterOpSetSchema<OpSet_Onnx_ver3>();
1143   RegisterOpSetSchema<OpSet_Onnx_ver4>();
1144   RegisterOpSetSchema<OpSet_Onnx_ver5>();
1145   RegisterOpSetSchema<OpSet_Onnx_ver6>();
1146   RegisterOpSetSchema<OpSet_Onnx_ver7>();
1147   RegisterOpSetSchema<OpSet_Onnx_ver8>();
1148   RegisterOpSetSchema<OpSet_Onnx_ver9>();
1149   RegisterOpSetSchema<OpSet_Onnx_ver10>();
1150   RegisterOpSetSchema<OpSet_Onnx_ver11>();
1151   RegisterOpSetSchema<OpSet_Onnx_ver12>();
1152   RegisterOpSetSchema<OpSet_Onnx_ver13>();
1153   RegisterOpSetSchema<OpSet_Onnx_ver14>();
1154   RegisterOpSetSchema<OpSet_Onnx_ver15>();
1155   RegisterOpSetSchema<OpSet_Onnx_ver16>();
1156   RegisterOpSetSchema<OpSet_Onnx_ver17>();
1157   RegisterOpSetSchema<OpSet_Onnx_ver18>();
1158   RegisterOpSetSchema<OpSet_Onnx_ver19>();
1159   RegisterOpSetSchema<OpSet_Onnx_ver20>();
1160   // 0 means all versions of ONNX schema have been loaded
1161   OpSchemaRegistry::Instance()->SetLoadedSchemaVersion(0);
1162 }
1163
1164 inline void RegisterOnnxOperatorSetSchema(int target_version, bool fail_duplicate_schema = true) {
1165   // Update here if opset_version bumps
1166   // These calls for schema registration here are required to be in descending order for this to work correctly
1167   //
1168   // Version-sepcific registration sees duplicate schema version request as error if fail_duplicate_schema
1169   RegisterOpSetSchema<OpSet_Onnx_ver20>(target_version, fail_duplicate_schema);
1170   RegisterOpSetSchema<OpSet_Onnx_ver19>(target_version, fail_duplicate_schema);
1171   RegisterOpSetSchema<OpSet_Onnx_ver18>(target_version, fail_duplicate_schema);
1172   RegisterOpSetSchema<OpSet_Onnx_ver17>(target_version, fail_duplicate_schema);
1173   RegisterOpSetSchema<OpSet_Onnx_ver16>(target_version, fail_duplicate_schema);
1174   RegisterOpSetSchema<OpSet_Onnx_ver15>(target_version, fail_duplicate_schema);
1175   RegisterOpSetSchema<OpSet_Onnx_ver14>(target_version, fail_duplicate_schema);
1176   RegisterOpSetSchema<OpSet_Onnx_ver13>(target_version, fail_duplicate_schema);
1177   RegisterOpSetSchema<OpSet_Onnx_ver12>(target_version, fail_duplicate_schema);
1178   RegisterOpSetSchema<OpSet_Onnx_ver11>(target_version, fail_duplicate_schema);
1179   RegisterOpSetSchema<OpSet_Onnx_ver10>(target_version, fail_duplicate_schema);
1180   RegisterOpSetSchema<OpSet_Onnx_ver9>(target_version, fail_duplicate_schema);
1181   RegisterOpSetSchema<OpSet_Onnx_ver8>(target_version, fail_duplicate_schema);
1182   RegisterOpSetSchema<OpSet_Onnx_ver7>(target_version, fail_duplicate_schema);
1183   RegisterOpSetSchema<OpSet_Onnx_ver6>(target_version, fail_duplicate_schema);
1184   RegisterOpSetSchema<OpSet_Onnx_ver5>(target_version, fail_duplicate_schema);
1185   RegisterOpSetSchema<OpSet_Onnx_ver4>(target_version, fail_duplicate_schema);
1186   RegisterOpSetSchema<OpSet_Onnx_ver3>(target_version, fail_duplicate_schema);
1187   RegisterOpSetSchema<OpSet_Onnx_ver2>(target_version, fail_duplicate_schema);
1188   RegisterOpSetSchema<OpSet_Onnx_ver1>(target_version, fail_duplicate_schema);
1189   // Sets to record the loaded version and prevent the full operator check in Debug mode
1190   OpSchemaRegistry::Instance()->SetLoadedSchemaVersion(target_version);
1191 }
1192
1193 inline void DeregisterOnnxOperatorSetSchema() {
1194   OpSchemaRegistry::Instance()->OpSchemaDeregisterAll(ONNX_DOMAIN);
1195   // -1 means no ONNX schema is loaded
1196   OpSchemaRegistry::Instance()->SetLoadedSchemaVersion(-1);
1197 }
1198
1199 inline bool IsOnnxStaticRegistrationDisabled() {
1200 #ifdef __ONNX_DISABLE_STATIC_REGISTRATION
1201   return true;
1202 #else
1203   return false;
1204 #endif
1205 }
1206
1207 } // namespace ONNX_NAMESPACE