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Reinforced-Learning-Godot/rl/Lib/site-packages/onnx/defs/operator_sets.h
Kilokem 40e2a747cf I am done
2024-10-30 22:14:35 +01:00

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/*
* SPDX-License-Identifier: Apache-2.0
*/
#pragma once
#include "onnx/defs/schema.h"
namespace ONNX_NAMESPACE {
// Forward declarations for ai.onnx version 1
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Abs);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Add);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, And);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ArgMax);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ArgMin);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, AveragePool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, BatchNormalization);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Cast);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Ceil);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Clip);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Concat);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Constant);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Conv);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ConvTranspose);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, DepthToSpace);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Div);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Dropout);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Elu);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Equal);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Exp);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Flatten);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Floor);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GRU);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Gather);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Gemm);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GlobalAveragePool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GlobalLpPool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GlobalMaxPool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Greater);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, HardSigmoid);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Hardmax);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Identity);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, If);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, InstanceNormalization);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LRN);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LSTM);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LeakyRelu);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Less);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Log);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LogSoftmax);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Loop);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LpNormalization);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LpPool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, MatMul);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Max);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, MaxPool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, MaxRoiPool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Mean);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Min);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Mul);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Neg);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Not);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Or);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, PRelu);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Pad);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Pow);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RNN);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomNormal);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomNormalLike);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomUniform);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomUniformLike);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Reciprocal);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceL1);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceL2);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceLogSum);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceLogSumExp);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceMax);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceMean);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceMin);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceProd);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceSum);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceSumSquare);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Relu);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Reshape);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Selu);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Shape);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sigmoid);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Size);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Slice);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Softmax);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Softplus);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Softsign);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, SpaceToDepth);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Split);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sqrt);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Squeeze);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sub);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sum);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Tanh);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Tile);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, TopK);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Transpose);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Unsqueeze);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Upsample);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Xor);
// Iterate over schema from ai.onnx version 1
class OpSet_Onnx_ver1 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Abs)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Add)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, And)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ArgMax)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ArgMin)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, AveragePool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, BatchNormalization)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Cast)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Ceil)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Clip)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Concat)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Constant)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Conv)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ConvTranspose)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, DepthToSpace)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Div)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Dropout)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Elu)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Equal)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Exp)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Flatten)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Floor)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GRU)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Gather)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Gemm)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GlobalAveragePool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GlobalLpPool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GlobalMaxPool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Greater)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, HardSigmoid)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Hardmax)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Identity)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, If)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, InstanceNormalization)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LRN)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LSTM)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LeakyRelu)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Less)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Log)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LogSoftmax)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Loop)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LpNormalization)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LpPool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, MatMul)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Max)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, MaxPool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, MaxRoiPool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Mean)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Min)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Mul)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Neg)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Not)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Or)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, PRelu)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Pad)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Pow)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RNN)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomNormal)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomNormalLike)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomUniform)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomUniformLike)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Reciprocal)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceL1)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceL2)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceLogSum)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceLogSumExp)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceMax)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceMean)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceMin)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceProd)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceSum)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceSumSquare)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Relu)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Reshape)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Selu)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Shape)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sigmoid)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Size)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Slice)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Softmax)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Softplus)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Softsign)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, SpaceToDepth)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Split)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sqrt)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Squeeze)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sub)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sum)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Tanh)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Tile)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, TopK)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Transpose)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Unsqueeze)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Upsample)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Xor)>());
}
};
// Forward declarations for ai.onnx version 2
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, GlobalLpPool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, LpPool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, Pad);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, Split);
// Iterate over schema from ai.onnx version 2
class OpSet_Onnx_ver2 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, GlobalLpPool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, LpPool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, Pad)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, Split)>());
}
};
// Forward declarations for ai.onnx version 3
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 3, GRU);
// Iterate over schema from ai.onnx version 3
class OpSet_Onnx_ver3 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 3, GRU)>());
}
};
// Forward declarations for ai.onnx version 4
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 4, Concat);
// Iterate over schema from ai.onnx version 4
class OpSet_Onnx_ver4 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 4, Concat)>());
}
};
// Forward declarations for ai.onnx version 5
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 5, Reshape);
// Iterate over schema from ai.onnx version 5
class OpSet_Onnx_ver5 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 5, Reshape)>());
}
};
// Forward declarations for ai.onnx version 6
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Abs);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Add);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, BatchNormalization);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Cast);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Ceil);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Clip);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Div);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Dropout);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Elu);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Exp);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Floor);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Gemm);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, HardSigmoid);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, InstanceNormalization);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, LeakyRelu);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Log);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Max);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Mean);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Min);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Mul);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Neg);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, PRelu);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Reciprocal);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Relu);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Selu);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sigmoid);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sqrt);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sub);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sum);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Tanh);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Tile);
// Iterate over schema from ai.onnx version 6
class OpSet_Onnx_ver6 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Abs)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Add)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, BatchNormalization)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Cast)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Ceil)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Clip)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Div)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Dropout)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Elu)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Exp)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Floor)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Gemm)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, HardSigmoid)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, InstanceNormalization)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, LeakyRelu)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Log)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Max)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Mean)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Min)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Mul)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Neg)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, PRelu)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Reciprocal)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Relu)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Selu)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sigmoid)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sqrt)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sub)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sum)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Tanh)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Tile)>());
}
};
// Forward declarations for ai.onnx version 7
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Acos);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Add);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, And);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Asin);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Atan);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, AveragePool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, BatchNormalization);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Cos);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Div);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Dropout);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Equal);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Gemm);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Greater);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, GRU);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Less);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, LSTM);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Mul);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Or);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Pow);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, RNN);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Sin);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Sub);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Tan);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Upsample);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Multinomial);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Xor);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, PRelu);
// Iterate over schema from ai.onnx version 7
class OpSet_Onnx_ver7 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Acos)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Add)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, And)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Asin)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Atan)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, AveragePool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, BatchNormalization)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Cos)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Div)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Dropout)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Equal)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Gemm)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Greater)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, GRU)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Less)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, LSTM)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Mul)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Or)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Pow)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, RNN)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Sin)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Sub)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Tan)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Upsample)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Multinomial)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Xor)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, PRelu)>());
}
};
// Forward declarations for ai.onnx version 8
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Expand);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Max);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Min);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Sum);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Mean);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, MaxPool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Scan);
// Iterate over schema from ai.onnx version 8
class OpSet_Onnx_ver8 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Expand)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Min)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Max)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Sum)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Mean)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, MaxPool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Scan)>());
}
};
// Forward declarations for ai.onnx version 9
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, BatchNormalization);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Compress);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, ConstantOfShape);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, EyeLike);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Greater);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Less);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Upsample);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, MaxUnpool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Constant);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, MatMul);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, OneHot);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, PRelu);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Gemm);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Flatten);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Sinh);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Cosh);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Asinh);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Acosh);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Atanh);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Shrink);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, IsNaN);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Sign);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Scan);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Erf);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Scatter);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Where);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Cast);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, NonZero);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, TfIdfVectorizer);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, MeanVarianceNormalization);
// Iterate over schema from ai.onnx version 9
class OpSet_Onnx_ver9 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, BatchNormalization)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Compress)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, ConstantOfShape)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, EyeLike)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Greater)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Less)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Upsample)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, MaxUnpool)>());
// Add more types' support to Constant/MatMul/PRelu/Gemm/Flatten op.
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Constant)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, MatMul)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, OneHot)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, PRelu)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Gemm)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Flatten)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Scatter)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Sinh)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Cosh)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Asinh)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Acosh)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Atanh)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Shrink)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, IsNaN)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Sign)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Scan)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Erf)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Cast)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Where)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, NonZero)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, TfIdfVectorizer)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, MeanVarianceNormalization)>());
}
};
// Forward declarations for ai.onnx version 10
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, StringNormalizer);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Upsample);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Resize);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, TopK);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, MaxPool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Mod);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, AveragePool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Slice);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, ThresholdedRelu);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Dropout);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, MatMulInteger);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, QLinearMatMul);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, ConvInteger);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, QLinearConv);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, QuantizeLinear);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, DequantizeLinear);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, IsInf);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, NonMaxSuppression);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, ReverseSequence);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, RoiAlign);
// Iterate over schema from ai.onnx version 10
class OpSet_Onnx_ver10 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Upsample)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Resize)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, StringNormalizer)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, TopK)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, MaxPool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Mod)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, AveragePool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Slice)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, ThresholdedRelu)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Dropout)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, MatMulInteger)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, QLinearMatMul)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, ConvInteger)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, QLinearConv)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, QuantizeLinear)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, DequantizeLinear)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, IsInf)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, NonMaxSuppression)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, ReverseSequence)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, RoiAlign)>());
}
};
// Forward declarations for ai.onnx version 11
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Loop);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, CumSum);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Round);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, BitShift);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Unique);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, TopK);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, DepthToSpace);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Equal);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Constant);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, DynamicQuantizeLinear);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, GatherElements);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ScatterElements);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Scatter);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Clip);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Resize);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Range);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Det);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ScatterND);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, GatherND);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Gather);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, OneHot);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Slice);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Squeeze);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Unsqueeze);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Flatten);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ArgMax);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ArgMin);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceL1);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceL2);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceLogSum);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceLogSumExp);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceMax);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceMean);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceMin);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceProd);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceSum);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceSumSquare);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Compress);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Concat);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Hardmax);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, LogSoftmax);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Softmax);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Scan);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Split);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, AveragePool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, MaxPool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, MaxUnpool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, LpPool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Conv);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ConvTranspose);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceEmpty);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceConstruct);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceInsert);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceAt);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceErase);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceLength);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SplitToSequence);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ConcatFromSequence);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Pad);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Gemm);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, If);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, NonMaxSuppression);
// Iterate over schema from ai.onnx version 11
class OpSet_Onnx_ver11 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Loop)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, BitShift)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Unique)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, CumSum)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Round)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, TopK)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, DepthToSpace)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Equal)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Constant)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, DynamicQuantizeLinear)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, GatherElements)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ScatterElements)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Scatter)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Clip)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Resize)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Range)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Det)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ScatterND)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, GatherND)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Gather)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, OneHot)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Slice)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Squeeze)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Unsqueeze)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Flatten)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ArgMin)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ArgMax)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceL1)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceL2)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceLogSum)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceLogSumExp)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceMax)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceMean)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceMin)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceProd)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceSum)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceSumSquare)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Compress)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Concat)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Hardmax)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, LogSoftmax)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Softmax)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Scan)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Split)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, AveragePool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, MaxPool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, MaxUnpool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, LpPool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Conv)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ConvTranspose)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceEmpty)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceConstruct)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceInsert)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceAt)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceErase)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceLength)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SplitToSequence)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ConcatFromSequence)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Pad)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Gemm)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, If)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, NonMaxSuppression)>());
}
};
// Forward declarations for ai.onnx version 12
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ArgMax);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ArgMin);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Clip);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Einsum);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, MaxPool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ReduceMax);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ReduceMin);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, GatherND);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, NegativeLogLikelihoodLoss);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Dropout);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Constant);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Celu);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Max);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Min);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, LessOrEqual);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, GreaterOrEqual);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, SoftmaxCrossEntropyLoss);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Pow);
// Iterate over schema from ai.onnx version 12
class OpSet_Onnx_ver12 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ArgMax)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ArgMin)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Clip)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Einsum)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, MaxPool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ReduceMax)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ReduceMin)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, GatherND)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, NegativeLogLikelihoodLoss)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Dropout)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Constant)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Celu)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Max)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Min)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, LessOrEqual)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, GreaterOrEqual)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, SoftmaxCrossEntropyLoss)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Pow)>());
}
};
// Forward declarations for ai.onnx version 13
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Constant);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Greater);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Less);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Equal);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Add);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sub);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Mul);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Div);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Softmax);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, LogSoftmax);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Hardmax);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Mod);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Neg);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Abs);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Reciprocal);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Floor);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Ceil);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sqrt);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Relu);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Exp);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Log);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Tanh);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Pow);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sigmoid);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Max);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Min);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sum);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Mean);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Clip);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Gemm);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, MatMul);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Expand);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sign);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Erf);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, SoftmaxCrossEntropyLoss);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, NegativeLogLikelihoodLoss);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Dropout);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Flatten);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, LRN);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, MeanVarianceNormalization);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceMax);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceMin);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceSum);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceSumSquare);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceMean);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceProd);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceLogSum);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceLogSumExp);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceL1);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceL2);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ArgMax);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ArgMin);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Cast);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Reshape);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Shape);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Size);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Concat);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Split);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Slice);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Transpose);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ScatterND);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ScatterElements);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Gather);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, GatherElements);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Squeeze);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Unsqueeze);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, SpaceToDepth);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, DepthToSpace);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Tile);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Resize);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Identity);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, IsNaN);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, NonZero);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, GatherND);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Pad);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, QuantizeLinear);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, DequantizeLinear);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Loop);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, If);
// Iterate over schema from ai.onnx version 13
class OpSet_Onnx_ver13 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Constant)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Greater)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Less)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Equal)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Add)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sub)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Mul)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Div)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Softmax)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, LogSoftmax)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Hardmax)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Mod)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Neg)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Abs)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Reciprocal)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Floor)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Ceil)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sqrt)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Relu)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Exp)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Log)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Tanh)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Pow)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sigmoid)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Max)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Min)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sum)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Mean)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Clip)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Gemm)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, MatMul)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Expand)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sign)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Erf)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, SoftmaxCrossEntropyLoss)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, NegativeLogLikelihoodLoss)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Dropout)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Flatten)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, LRN)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, MeanVarianceNormalization)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceMax)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceMin)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceSum)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceSumSquare)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceMean)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceProd)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceLogSum)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceLogSumExp)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceL1)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceL2)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ArgMax)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ArgMin)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Cast)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Reshape)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Shape)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Size)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Concat)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Split)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Slice)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Transpose)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ScatterND)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ScatterElements)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Gather)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, GatherElements)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Squeeze)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Unsqueeze)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, SpaceToDepth)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, DepthToSpace)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Tile)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Resize)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Identity)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, IsNaN)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, NonZero)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, GatherND)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Pad)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, QuantizeLinear)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, DequantizeLinear)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Loop)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, If)>());
}
};
// Forward declarations for ai.onnx version 14
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, CumSum);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Relu);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Reshape);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, GRU);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, LSTM);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, RNN);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Trilu);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, BatchNormalization);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, HardSwish);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Add);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Sub);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Mul);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Div);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Identity);
// Iterate over schema from ai.onnx version 14
class OpSet_Onnx_ver14 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, CumSum)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Relu)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Reshape)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, GRU)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, LSTM)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, RNN)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Trilu)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, BatchNormalization)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, HardSwish)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Add)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Sub)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Mul)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Div)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Identity)>());
}
};
// Forward declarations for ai.onnx version 15
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, BatchNormalization);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Bernoulli);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Pow);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Optional);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, OptionalHasElement);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, OptionalGetElement);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, CastLike);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Shape);
// Iterate over schema from ai.onnx version 15
class OpSet_Onnx_ver15 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, BatchNormalization)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Bernoulli)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Pow)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Optional)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, OptionalHasElement)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, OptionalGetElement)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, CastLike)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Shape)>());
}
};
// Forward declarations for ai.onnx version 16
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, RoiAlign);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, ScatterND);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, ScatterElements);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, If);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Loop);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Identity);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Where);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, GridSample);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Scan);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, LessOrEqual);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, GreaterOrEqual);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, LeakyRelu);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, PRelu);
// Iterate over schema from ai.onnx version 16
class OpSet_Onnx_ver16 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, RoiAlign)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, ScatterND)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, ScatterElements)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, If)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Loop)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Identity)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Where)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, GridSample)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Scan)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, LessOrEqual)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, GreaterOrEqual)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, LeakyRelu)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, PRelu)>());
}
};
// Forward declarations for ai.onnx version 17
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, LayerNormalization);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, SequenceMap);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, DFT);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, HannWindow);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, HammingWindow);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, BlackmanWindow);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, MelWeightMatrix);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, STFT);
// Iterate over schema from ai.onnx version 17
class OpSet_Onnx_ver17 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, LayerNormalization)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, SequenceMap)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, DFT)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, HannWindow)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, HammingWindow)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, BlackmanWindow)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, MelWeightMatrix)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, STFT)>());
}
};
// Forward declarations for ai.onnx version 18
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, Pad);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, CenterCropPad);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, Resize);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, Mish);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, OptionalGetElement);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, OptionalHasElement);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, Split);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, Col2Im);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ScatterND);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ScatterElements);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceSumSquare);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceLogSum);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceLogSumExp);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceL1);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceL2);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceMax);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceMin);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceMean);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceProd);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, BitwiseAnd);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, BitwiseOr);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, BitwiseXor);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, BitwiseNot);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, GroupNormalization);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, LpPool);
// Iterate over schema from ai.onnx version 18
class OpSet_Onnx_ver18 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, Pad)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, CenterCropPad)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, Resize)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, Mish)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, OptionalGetElement)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, Split)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, OptionalHasElement)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, Col2Im)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ScatterND)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ScatterElements)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceSumSquare)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceLogSum)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceLogSumExp)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceL1)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceL2)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceMax)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceMin)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceMean)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, ReduceProd)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, BitwiseAnd)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, BitwiseOr)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, BitwiseXor)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, BitwiseNot)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, GroupNormalization)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 18, LpPool)>());
}
};
// Forward declarations for ai.onnx version 19
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Equal);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, AveragePool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Cast);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, CastLike);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Constant);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, DeformConv);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, DequantizeLinear);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Identity);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, If);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Loop);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Pad);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, QuantizeLinear);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Resize);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Reshape);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Scan);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Shape);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Size);
// Iterate over schema from ai.onnx version 19
class OpSet_Onnx_ver19 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Equal)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, AveragePool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Cast)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, CastLike)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Constant)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, DeformConv)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, DequantizeLinear)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Identity)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, If)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Loop)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Pad)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, QuantizeLinear)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Reshape)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Resize)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Scan)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Shape)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 19, Size)>());
}
};
// Forward declarations for ai.onnx version 20
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, AffineGrid);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, ConstantOfShape);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, DFT);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, Gelu);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, GridSample);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, ImageDecoder);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, IsInf);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, IsNaN);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, ReduceMax);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, ReduceMin);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, RegexFullMatch);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, StringConcat);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, StringSplit);
// Iterate over schema from ai.onnx version 20
class OpSet_Onnx_ver20 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, AffineGrid)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, ConstantOfShape)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, DFT)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, Gelu)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, GridSample)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, ImageDecoder)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, IsInf)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, IsNaN)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, ReduceMax)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, ReduceMin)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, RegexFullMatch)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, StringConcat)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 20, StringSplit)>());
}
};
// Forward declarations for ai.onnx version 21
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Cast);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, CastLike);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Constant);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, ConstantOfShape);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, DequantizeLinear);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Flatten);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, GroupNormalization);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Identity);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, If);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Loop);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Pad);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, QLinearMatMul);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, QuantizeLinear);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Reshape);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Scan);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Shape);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Size);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Squeeze);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Transpose);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Unsqueeze);
// Iterate over schema from ai.onnx version 21
class OpSet_Onnx_ver21 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Cast)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, CastLike)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Constant)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, ConstantOfShape)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, DequantizeLinear)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Flatten)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, GroupNormalization)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Identity)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, If)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Loop)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Pad)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, QLinearMatMul)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, QuantizeLinear)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Reshape)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Scan)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Shape)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Size)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Squeeze)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Transpose)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 21, Unsqueeze)>());
}
};
// Forward declarations for ai.onnx version 22
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, EyeLike);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, RandomUniform);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, RandomNormal);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, RandomUniformLike);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, RandomNormalLike);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Multinomial);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Bernoulli);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, ThresholdedRelu);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Selu);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Elu);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Mish);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, HardSigmoid);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, HardSwish);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Softsign);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Softplus);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Sin);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Cos);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Tan);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Asin);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Acos);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Atan);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Sinh);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Cosh);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Asinh);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Acosh);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Atanh);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Round);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Det);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, NegativeLogLikelihoodLoss);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, AveragePool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, MaxPool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, MaxUnpool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, LpPool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, MaxRoiPool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Conv);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, ConvTranspose);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, DeformConv);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, GlobalAveragePool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, GlobalMaxPool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, GlobalLpPool);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, InstanceNormalization);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, LpNormalization);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Dropout);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, RoiAlign);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, RNN);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, GRU);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, LSTM);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, GridSample);
// Iterate over schema from ai.onnx version 22
class OpSet_Onnx_ver22 {
public:
static void ForEachSchema(std::function<void(OpSchema&&)> fn) {
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, EyeLike)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, RandomUniform)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, RandomNormal)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, RandomUniformLike)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, RandomNormalLike)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Multinomial)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Bernoulli)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, ThresholdedRelu)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Selu)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Elu)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Mish)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, HardSigmoid)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, HardSwish)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Softsign)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Softplus)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Sin)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Cos)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Tan)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Asin)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Acos)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Atan)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Sinh)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Cosh)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Asinh)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Acosh)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Atanh)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Round)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Det)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, NegativeLogLikelihoodLoss)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, AveragePool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, MaxPool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, MaxUnpool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, LpPool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, MaxRoiPool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Conv)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, ConvTranspose)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, DeformConv)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, GlobalAveragePool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, GlobalMaxPool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, GlobalLpPool)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, InstanceNormalization)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, LpNormalization)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, Dropout)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, RoiAlign)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, RNN)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, GRU)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, LSTM)>());
fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 22, GridSample)>());
}
};
inline void RegisterOnnxOperatorSetSchema() {
RegisterOpSetSchema<OpSet_Onnx_ver1>();
RegisterOpSetSchema<OpSet_Onnx_ver2>();
RegisterOpSetSchema<OpSet_Onnx_ver3>();
RegisterOpSetSchema<OpSet_Onnx_ver4>();
RegisterOpSetSchema<OpSet_Onnx_ver5>();
RegisterOpSetSchema<OpSet_Onnx_ver6>();
RegisterOpSetSchema<OpSet_Onnx_ver7>();
RegisterOpSetSchema<OpSet_Onnx_ver8>();
RegisterOpSetSchema<OpSet_Onnx_ver9>();
RegisterOpSetSchema<OpSet_Onnx_ver10>();
RegisterOpSetSchema<OpSet_Onnx_ver11>();
RegisterOpSetSchema<OpSet_Onnx_ver12>();
RegisterOpSetSchema<OpSet_Onnx_ver13>();
RegisterOpSetSchema<OpSet_Onnx_ver14>();
RegisterOpSetSchema<OpSet_Onnx_ver15>();
RegisterOpSetSchema<OpSet_Onnx_ver16>();
RegisterOpSetSchema<OpSet_Onnx_ver17>();
RegisterOpSetSchema<OpSet_Onnx_ver18>();
RegisterOpSetSchema<OpSet_Onnx_ver19>();
RegisterOpSetSchema<OpSet_Onnx_ver20>();
RegisterOpSetSchema<OpSet_Onnx_ver21>();
RegisterOpSetSchema<OpSet_Onnx_ver22>();
// 0 means all versions of ONNX schema have been loaded
OpSchemaRegistry::Instance()->SetLoadedSchemaVersion(0);
}
inline void RegisterOnnxOperatorSetSchema(int target_version, bool fail_duplicate_schema = true) {
// Update here if opset_version bumps
// These calls for schema registration here are required to be in descending order for this to work correctly
//
// Version-specific registration sees duplicate schema version request as error if fail_duplicate_schema
RegisterOpSetSchema<OpSet_Onnx_ver22>(target_version, fail_duplicate_schema);
RegisterOpSetSchema<OpSet_Onnx_ver21>(target_version, fail_duplicate_schema);
RegisterOpSetSchema<OpSet_Onnx_ver20>(target_version, fail_duplicate_schema);
RegisterOpSetSchema<OpSet_Onnx_ver19>(target_version, fail_duplicate_schema);
RegisterOpSetSchema<OpSet_Onnx_ver18>(target_version, fail_duplicate_schema);
RegisterOpSetSchema<OpSet_Onnx_ver17>(target_version, fail_duplicate_schema);
RegisterOpSetSchema<OpSet_Onnx_ver16>(target_version, fail_duplicate_schema);
RegisterOpSetSchema<OpSet_Onnx_ver15>(target_version, fail_duplicate_schema);
RegisterOpSetSchema<OpSet_Onnx_ver14>(target_version, fail_duplicate_schema);
RegisterOpSetSchema<OpSet_Onnx_ver13>(target_version, fail_duplicate_schema);
RegisterOpSetSchema<OpSet_Onnx_ver12>(target_version, fail_duplicate_schema);
RegisterOpSetSchema<OpSet_Onnx_ver11>(target_version, fail_duplicate_schema);
RegisterOpSetSchema<OpSet_Onnx_ver10>(target_version, fail_duplicate_schema);
RegisterOpSetSchema<OpSet_Onnx_ver9>(target_version, fail_duplicate_schema);
RegisterOpSetSchema<OpSet_Onnx_ver8>(target_version, fail_duplicate_schema);
RegisterOpSetSchema<OpSet_Onnx_ver7>(target_version, fail_duplicate_schema);
RegisterOpSetSchema<OpSet_Onnx_ver6>(target_version, fail_duplicate_schema);
RegisterOpSetSchema<OpSet_Onnx_ver5>(target_version, fail_duplicate_schema);
RegisterOpSetSchema<OpSet_Onnx_ver4>(target_version, fail_duplicate_schema);
RegisterOpSetSchema<OpSet_Onnx_ver3>(target_version, fail_duplicate_schema);
RegisterOpSetSchema<OpSet_Onnx_ver2>(target_version, fail_duplicate_schema);
RegisterOpSetSchema<OpSet_Onnx_ver1>(target_version, fail_duplicate_schema);
// Sets to record the loaded version and prevent the full operator check in Debug mode
OpSchemaRegistry::Instance()->SetLoadedSchemaVersion(target_version);
}
inline void DeregisterOnnxOperatorSetSchema() {
OpSchemaRegistry::Instance()->OpSchemaDeregisterAll(ONNX_DOMAIN);
// -1 means no ONNX schema is loaded
OpSchemaRegistry::Instance()->SetLoadedSchemaVersion(-1);
}
inline bool IsOnnxStaticRegistrationDisabled() {
#ifdef __ONNX_DISABLE_STATIC_REGISTRATION
return true;
#else
return false;
#endif
}
} // namespace ONNX_NAMESPACE
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