1 | /* |
2 | * SPDX-License-Identifier: Apache-2.0 |
3 | */ |
4 | |
5 | #pragma once |
6 | |
7 | #include "onnx/defs/schema.h" |
8 | |
9 | namespace ONNX_NAMESPACE { |
10 | |
11 | // Forward declarations for ai.onnx version 1 |
12 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Abs); |
13 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Add); |
14 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, And); |
15 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ArgMax); |
16 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ArgMin); |
17 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, AveragePool); |
18 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, BatchNormalization); |
19 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Cast); |
20 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Ceil); |
21 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Clip); |
22 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Concat); |
23 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Constant); |
24 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Conv); |
25 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ConvTranspose); |
26 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, DepthToSpace); |
27 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Div); |
28 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Dropout); |
29 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Elu); |
30 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Equal); |
31 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Exp); |
32 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Flatten); |
33 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Floor); |
34 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GRU); |
35 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Gather); |
36 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Gemm); |
37 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GlobalAveragePool); |
38 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GlobalLpPool); |
39 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GlobalMaxPool); |
40 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Greater); |
41 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, HardSigmoid); |
42 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Hardmax); |
43 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Identity); |
44 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, If); |
45 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, InstanceNormalization); |
46 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LRN); |
47 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LSTM); |
48 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LeakyRelu); |
49 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Less); |
50 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Log); |
51 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LogSoftmax); |
52 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Loop); |
53 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LpNormalization); |
54 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LpPool); |
55 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, MatMul); |
56 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Max); |
57 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, MaxPool); |
58 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, MaxRoiPool); |
59 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Mean); |
60 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Min); |
61 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Mul); |
62 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Neg); |
63 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Not); |
64 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Or); |
65 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, PRelu); |
66 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Pad); |
67 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Pow); |
68 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RNN); |
69 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomNormal); |
70 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomNormalLike); |
71 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomUniform); |
72 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomUniformLike); |
73 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Reciprocal); |
74 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceL1); |
75 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceL2); |
76 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceLogSum); |
77 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceLogSumExp); |
78 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceMax); |
79 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceMean); |
80 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceMin); |
81 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceProd); |
82 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceSum); |
83 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceSumSquare); |
84 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Relu); |
85 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Reshape); |
86 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Selu); |
87 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Shape); |
88 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sigmoid); |
89 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Size); |
90 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Slice); |
91 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Softmax); |
92 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Softplus); |
93 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Softsign); |
94 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, SpaceToDepth); |
95 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Split); |
96 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sqrt); |
97 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Squeeze); |
98 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sub); |
99 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sum); |
100 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Tanh); |
101 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Tile); |
102 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, TopK); |
103 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Transpose); |
104 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Unsqueeze); |
105 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Upsample); |
106 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Xor); |
107 | |
108 | // Iterate over schema from ai.onnx version 1 |
109 | class OpSet_Onnx_ver1 { |
110 | public: |
111 | static void ForEachSchema(std::function<void(OpSchema&&)> fn) { |
112 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Abs)>()); |
113 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Add)>()); |
114 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, And)>()); |
115 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ArgMax)>()); |
116 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ArgMin)>()); |
117 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, AveragePool)>()); |
118 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, BatchNormalization)>()); |
119 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Cast)>()); |
120 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Ceil)>()); |
121 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Clip)>()); |
122 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Concat)>()); |
123 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Constant)>()); |
124 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Conv)>()); |
125 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ConvTranspose)>()); |
126 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, DepthToSpace)>()); |
127 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Div)>()); |
128 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Dropout)>()); |
129 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Elu)>()); |
130 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Equal)>()); |
131 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Exp)>()); |
132 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Flatten)>()); |
133 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Floor)>()); |
134 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GRU)>()); |
135 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Gather)>()); |
136 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Gemm)>()); |
137 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GlobalAveragePool)>()); |
138 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GlobalLpPool)>()); |
139 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, GlobalMaxPool)>()); |
140 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Greater)>()); |
141 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, HardSigmoid)>()); |
142 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Hardmax)>()); |
143 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Identity)>()); |
144 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, If)>()); |
145 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, InstanceNormalization)>()); |
146 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LRN)>()); |
147 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LSTM)>()); |
148 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LeakyRelu)>()); |
149 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Less)>()); |
150 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Log)>()); |
151 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LogSoftmax)>()); |
152 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Loop)>()); |
153 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LpNormalization)>()); |
154 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, LpPool)>()); |
155 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, MatMul)>()); |
156 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Max)>()); |
157 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, MaxPool)>()); |
158 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, MaxRoiPool)>()); |
159 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Mean)>()); |
160 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Min)>()); |
161 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Mul)>()); |
162 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Neg)>()); |
163 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Not)>()); |
164 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Or)>()); |
165 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, PRelu)>()); |
166 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Pad)>()); |
167 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Pow)>()); |
168 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RNN)>()); |
169 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomNormal)>()); |
170 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomNormalLike)>()); |
171 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomUniform)>()); |
172 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, RandomUniformLike)>()); |
173 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Reciprocal)>()); |
174 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceL1)>()); |
175 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceL2)>()); |
176 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceLogSum)>()); |
177 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceLogSumExp)>()); |
178 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceMax)>()); |
179 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceMean)>()); |
180 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceMin)>()); |
181 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceProd)>()); |
182 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceSum)>()); |
183 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, ReduceSumSquare)>()); |
184 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Relu)>()); |
185 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Reshape)>()); |
186 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Selu)>()); |
187 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Shape)>()); |
188 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sigmoid)>()); |
189 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Size)>()); |
190 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Slice)>()); |
191 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Softmax)>()); |
192 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Softplus)>()); |
193 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Softsign)>()); |
194 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, SpaceToDepth)>()); |
195 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Split)>()); |
196 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sqrt)>()); |
197 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Squeeze)>()); |
198 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sub)>()); |
199 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Sum)>()); |
200 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Tanh)>()); |
201 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Tile)>()); |
202 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, TopK)>()); |
203 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Transpose)>()); |
204 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Unsqueeze)>()); |
205 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Upsample)>()); |
206 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Xor)>()); |
207 | } |
208 | }; |
209 | |
210 | // Forward declarations for ai.onnx version 2 |
211 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, GlobalLpPool); |
212 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, LpPool); |
213 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, Pad); |
214 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, Split); |
215 | |
216 | // Iterate over schema from ai.onnx version 2 |
217 | class OpSet_Onnx_ver2 { |
218 | public: |
219 | static void ForEachSchema(std::function<void(OpSchema&&)> fn) { |
220 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, GlobalLpPool)>()); |
221 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, LpPool)>()); |
222 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, Pad)>()); |
223 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 2, Split)>()); |
224 | } |
225 | }; |
226 | |
227 | // Forward declarations for ai.onnx version 3 |
228 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 3, GRU); |
229 | |
230 | // Iterate over schema from ai.onnx version 3 |
231 | class OpSet_Onnx_ver3 { |
232 | public: |
233 | static void ForEachSchema(std::function<void(OpSchema&&)> fn) { |
234 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 3, GRU)>()); |
235 | } |
236 | }; |
237 | |
238 | // Forward declarations for ai.onnx version 4 |
239 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 4, Concat); |
240 | |
241 | // Iterate over schema from ai.onnx version 4 |
242 | class OpSet_Onnx_ver4 { |
243 | public: |
244 | static void ForEachSchema(std::function<void(OpSchema&&)> fn) { |
245 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 4, Concat)>()); |
246 | } |
247 | }; |
248 | |
249 | // Forward declarations for ai.onnx version 5 |
250 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 5, Reshape); |
251 | |
252 | // Iterate over schema from ai.onnx version 5 |
253 | class OpSet_Onnx_ver5 { |
254 | public: |
255 | static void ForEachSchema(std::function<void(OpSchema&&)> fn) { |
256 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 5, Reshape)>()); |
257 | } |
258 | }; |
259 | |
260 | // Forward declarations for ai.onnx version 6 |
261 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Abs); |
262 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Add); |
263 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, BatchNormalization); |
264 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Cast); |
265 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Ceil); |
266 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Clip); |
267 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Div); |
268 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Dropout); |
269 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Elu); |
270 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Exp); |
271 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Floor); |
272 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Gemm); |
273 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, HardSigmoid); |
274 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, InstanceNormalization); |
275 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, LeakyRelu); |
276 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Log); |
277 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Max); |
278 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Mean); |
279 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Min); |
280 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Mul); |
281 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Neg); |
282 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, PRelu); |
283 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Reciprocal); |
284 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Relu); |
285 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Selu); |
286 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sigmoid); |
287 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sqrt); |
288 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sub); |
289 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sum); |
290 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Tanh); |
291 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Tile); |
292 | |
293 | // Iterate over schema from ai.onnx version 6 |
294 | class OpSet_Onnx_ver6 { |
295 | public: |
296 | static void ForEachSchema(std::function<void(OpSchema&&)> fn) { |
297 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Abs)>()); |
298 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Add)>()); |
299 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, BatchNormalization)>()); |
300 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Cast)>()); |
301 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Ceil)>()); |
302 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Clip)>()); |
303 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Div)>()); |
304 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Dropout)>()); |
305 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Elu)>()); |
306 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Exp)>()); |
307 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Floor)>()); |
308 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Gemm)>()); |
309 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, HardSigmoid)>()); |
310 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, InstanceNormalization)>()); |
311 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, LeakyRelu)>()); |
312 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Log)>()); |
313 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Max)>()); |
314 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Mean)>()); |
315 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Min)>()); |
316 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Mul)>()); |
317 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Neg)>()); |
318 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, PRelu)>()); |
319 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Reciprocal)>()); |
320 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Relu)>()); |
321 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Selu)>()); |
322 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sigmoid)>()); |
323 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sqrt)>()); |
324 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sub)>()); |
325 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Sum)>()); |
326 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Tanh)>()); |
327 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 6, Tile)>()); |
328 | } |
329 | }; |
330 | |
331 | // Forward declarations for ai.onnx version 7 |
332 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Acos); |
333 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Add); |
334 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, And); |
335 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Asin); |
336 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Atan); |
337 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, AveragePool); |
338 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, BatchNormalization); |
339 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Cos); |
340 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Div); |
341 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Dropout); |
342 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Equal); |
343 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Gemm); |
344 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Greater); |
345 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, GRU); |
346 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Less); |
347 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, LSTM); |
348 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Mul); |
349 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Or); |
350 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Pow); |
351 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, RNN); |
352 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Sin); |
353 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Sub); |
354 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Tan); |
355 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Upsample); |
356 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Multinomial); |
357 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Xor); |
358 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, PRelu); |
359 | |
360 | // Iterate over schema from ai.onnx version 7 |
361 | class OpSet_Onnx_ver7 { |
362 | public: |
363 | static void ForEachSchema(std::function<void(OpSchema&&)> fn) { |
364 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Acos)>()); |
365 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Add)>()); |
366 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, And)>()); |
367 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Asin)>()); |
368 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Atan)>()); |
369 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, AveragePool)>()); |
370 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, BatchNormalization)>()); |
371 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Cos)>()); |
372 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Div)>()); |
373 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Dropout)>()); |
374 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Equal)>()); |
375 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Gemm)>()); |
376 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Greater)>()); |
377 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, GRU)>()); |
378 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Less)>()); |
379 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, LSTM)>()); |
380 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Mul)>()); |
381 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Or)>()); |
382 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Pow)>()); |
383 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, RNN)>()); |
384 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Sin)>()); |
385 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Sub)>()); |
386 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Tan)>()); |
387 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Upsample)>()); |
388 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Multinomial)>()); |
389 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, Xor)>()); |
390 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 7, PRelu)>()); |
391 | } |
392 | }; |
393 | |
394 | // Forward declarations for ai.onnx version 8 |
395 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Expand); |
396 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Max); |
397 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Min); |
398 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Sum); |
399 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Mean); |
400 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, MaxPool); |
401 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Scan); |
402 | |
403 | // Iterate over schema from ai.onnx version 8 |
404 | class OpSet_Onnx_ver8 { |
405 | public: |
406 | static void ForEachSchema(std::function<void(OpSchema&&)> fn) { |
407 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Expand)>()); |
408 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Min)>()); |
409 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Max)>()); |
410 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Sum)>()); |
411 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Mean)>()); |
412 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, MaxPool)>()); |
413 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 8, Scan)>()); |
414 | } |
415 | }; |
416 | |
417 | // Forward declarations for ai.onnx version 9 |
418 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, BatchNormalization); |
419 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Compress); |
420 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, ConstantOfShape); |
421 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, EyeLike); |
422 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Greater); |
423 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Less); |
424 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Upsample); |
425 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, MaxUnpool); |
426 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Constant); |
427 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, MatMul); |
428 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, OneHot); |
429 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, PRelu); |
430 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Gemm); |
431 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Flatten); |
432 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Sinh); |
433 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Cosh); |
434 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Asinh); |
435 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Acosh); |
436 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Atanh); |
437 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Shrink); |
438 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, IsNaN); |
439 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Sign); |
440 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Scan); |
441 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Erf); |
442 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Scatter); |
443 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Where); |
444 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Cast); |
445 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, NonZero); |
446 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, TfIdfVectorizer); |
447 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, MeanVarianceNormalization); |
448 | |
449 | // Iterate over schema from ai.onnx version 9 |
450 | class OpSet_Onnx_ver9 { |
451 | public: |
452 | static void ForEachSchema(std::function<void(OpSchema&&)> fn) { |
453 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, BatchNormalization)>()); |
454 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Compress)>()); |
455 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, ConstantOfShape)>()); |
456 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, EyeLike)>()); |
457 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Greater)>()); |
458 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Less)>()); |
459 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Upsample)>()); |
460 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, MaxUnpool)>()); |
461 | // Add more types' support to Constant/MatMul/PRelu/Gemm/Flatten op. |
462 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Constant)>()); |
463 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, MatMul)>()); |
464 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, OneHot)>()); |
465 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, PRelu)>()); |
466 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Gemm)>()); |
467 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Flatten)>()); |
468 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Scatter)>()); |
469 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Sinh)>()); |
470 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Cosh)>()); |
471 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Asinh)>()); |
472 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Acosh)>()); |
473 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Atanh)>()); |
474 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Shrink)>()); |
475 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, IsNaN)>()); |
476 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Sign)>()); |
477 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Scan)>()); |
478 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Erf)>()); |
479 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Cast)>()); |
480 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, Where)>()); |
481 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, NonZero)>()); |
482 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, TfIdfVectorizer)>()); |
483 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 9, MeanVarianceNormalization)>()); |
484 | } |
485 | }; |
486 | |
487 | // Forward declarations for ai.onnx version 10 |
488 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, StringNormalizer); |
489 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Upsample); |
490 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Resize); |
491 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, TopK); |
492 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, MaxPool); |
493 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Mod); |
494 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, AveragePool); |
495 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Slice); |
496 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, ThresholdedRelu); |
497 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Dropout); |
498 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, MatMulInteger); |
499 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, QLinearMatMul); |
500 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, ConvInteger); |
501 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, QLinearConv); |
502 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, QuantizeLinear); |
503 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, DequantizeLinear); |
504 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, IsInf); |
505 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, NonMaxSuppression); |
506 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, ReverseSequence); |
507 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, RoiAlign); |
508 | |
509 | // Iterate over schema from ai.onnx version 10 |
510 | class OpSet_Onnx_ver10 { |
511 | public: |
512 | static void ForEachSchema(std::function<void(OpSchema&&)> fn) { |
513 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Upsample)>()); |
514 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Resize)>()); |
515 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, StringNormalizer)>()); |
516 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, TopK)>()); |
517 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, MaxPool)>()); |
518 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Mod)>()); |
519 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, AveragePool)>()); |
520 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Slice)>()); |
521 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, ThresholdedRelu)>()); |
522 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, Dropout)>()); |
523 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, MatMulInteger)>()); |
524 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, QLinearMatMul)>()); |
525 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, ConvInteger)>()); |
526 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, QLinearConv)>()); |
527 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, QuantizeLinear)>()); |
528 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, DequantizeLinear)>()); |
529 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, IsInf)>()); |
530 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, NonMaxSuppression)>()); |
531 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, ReverseSequence)>()); |
532 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 10, RoiAlign)>()); |
533 | } |
534 | }; |
535 | |
536 | // Forward declarations for ai.onnx version 11 |
537 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Loop); |
538 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, CumSum); |
539 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Round); |
540 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, BitShift); |
541 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Unique); |
542 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, TopK); |
543 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, DepthToSpace); |
544 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Equal); |
545 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Constant); |
546 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, DynamicQuantizeLinear); |
547 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, GatherElements); |
548 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ScatterElements); |
549 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Scatter); |
550 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Clip); |
551 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Resize); |
552 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Range); |
553 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Det); |
554 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ScatterND); |
555 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, GatherND); |
556 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Gather); |
557 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, OneHot); |
558 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Slice); |
559 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Squeeze); |
560 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Unsqueeze); |
561 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Flatten); |
562 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ArgMax); |
563 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ArgMin); |
564 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceL1); |
565 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceL2); |
566 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceLogSum); |
567 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceLogSumExp); |
568 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceMax); |
569 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceMean); |
570 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceMin); |
571 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceProd); |
572 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceSum); |
573 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceSumSquare); |
574 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Compress); |
575 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Concat); |
576 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Hardmax); |
577 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, LogSoftmax); |
578 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Softmax); |
579 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Scan); |
580 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Split); |
581 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, AveragePool); |
582 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, MaxPool); |
583 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, MaxUnpool); |
584 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, LpPool); |
585 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Conv); |
586 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ConvTranspose); |
587 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceEmpty); |
588 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceConstruct); |
589 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceInsert); |
590 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceAt); |
591 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceErase); |
592 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceLength); |
593 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SplitToSequence); |
594 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ConcatFromSequence); |
595 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Pad); |
596 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Gemm); |
597 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, If); |
598 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, NonMaxSuppression); |
599 | |
600 | // Iterate over schema from ai.onnx version 11 |
601 | class OpSet_Onnx_ver11 { |
602 | public: |
603 | static void ForEachSchema(std::function<void(OpSchema&&)> fn) { |
604 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Loop)>()); |
605 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, BitShift)>()); |
606 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Unique)>()); |
607 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, CumSum)>()); |
608 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Round)>()); |
609 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, TopK)>()); |
610 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, DepthToSpace)>()); |
611 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Equal)>()); |
612 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Constant)>()); |
613 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, DynamicQuantizeLinear)>()); |
614 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, GatherElements)>()); |
615 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ScatterElements)>()); |
616 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Scatter)>()); |
617 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Clip)>()); |
618 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Resize)>()); |
619 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Range)>()); |
620 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Det)>()); |
621 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ScatterND)>()); |
622 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, GatherND)>()); |
623 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Gather)>()); |
624 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, OneHot)>()); |
625 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Slice)>()); |
626 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Squeeze)>()); |
627 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Unsqueeze)>()); |
628 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Flatten)>()); |
629 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ArgMin)>()); |
630 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ArgMax)>()); |
631 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceL1)>()); |
632 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceL2)>()); |
633 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceLogSum)>()); |
634 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceLogSumExp)>()); |
635 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceMax)>()); |
636 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceMean)>()); |
637 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceMin)>()); |
638 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceProd)>()); |
639 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceSum)>()); |
640 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ReduceSumSquare)>()); |
641 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Compress)>()); |
642 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Concat)>()); |
643 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Hardmax)>()); |
644 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, LogSoftmax)>()); |
645 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Softmax)>()); |
646 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Scan)>()); |
647 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Split)>()); |
648 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, AveragePool)>()); |
649 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, MaxPool)>()); |
650 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, MaxUnpool)>()); |
651 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, LpPool)>()); |
652 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Conv)>()); |
653 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ConvTranspose)>()); |
654 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceEmpty)>()); |
655 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceConstruct)>()); |
656 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceInsert)>()); |
657 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceAt)>()); |
658 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceErase)>()); |
659 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SequenceLength)>()); |
660 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, SplitToSequence)>()); |
661 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, ConcatFromSequence)>()); |
662 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Pad)>()); |
663 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, Gemm)>()); |
664 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, If)>()); |
665 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 11, NonMaxSuppression)>()); |
666 | } |
667 | }; |
668 | |
669 | // Forward declarations for ai.onnx version 12 |
670 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ArgMax); |
671 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ArgMin); |
672 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Clip); |
673 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Einsum); |
674 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, MaxPool); |
675 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ReduceMax); |
676 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ReduceMin); |
677 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, GatherND); |
678 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, NegativeLogLikelihoodLoss); |
679 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Dropout); |
680 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Constant); |
681 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Celu); |
682 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Max); |
683 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Min); |
684 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, LessOrEqual); |
685 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, GreaterOrEqual); |
686 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, SoftmaxCrossEntropyLoss); |
687 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Pow); |
688 | |
689 | // Iterate over schema from ai.onnx version 12 |
690 | class OpSet_Onnx_ver12 { |
691 | public: |
692 | static void ForEachSchema(std::function<void(OpSchema&&)> fn) { |
693 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ArgMax)>()); |
694 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ArgMin)>()); |
695 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Clip)>()); |
696 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Einsum)>()); |
697 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, MaxPool)>()); |
698 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ReduceMax)>()); |
699 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, ReduceMin)>()); |
700 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, GatherND)>()); |
701 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, NegativeLogLikelihoodLoss)>()); |
702 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Dropout)>()); |
703 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Constant)>()); |
704 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Celu)>()); |
705 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Max)>()); |
706 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Min)>()); |
707 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, LessOrEqual)>()); |
708 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, GreaterOrEqual)>()); |
709 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, SoftmaxCrossEntropyLoss)>()); |
710 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 12, Pow)>()); |
711 | } |
712 | }; |
713 | // Forward declarations for ai.onnx version 13 |
714 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Constant); |
715 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Greater); |
716 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Less); |
717 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Equal); |
718 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Add); |
719 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sub); |
720 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Mul); |
721 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Div); |
722 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Softmax); |
723 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, LogSoftmax); |
724 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Hardmax); |
725 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Mod); |
726 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Neg); |
727 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Abs); |
728 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Reciprocal); |
729 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Floor); |
730 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Ceil); |
731 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sqrt); |
732 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Relu); |
733 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Exp); |
734 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Log); |
735 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Tanh); |
736 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Pow); |
737 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sigmoid); |
738 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Max); |
739 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Min); |
740 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sum); |
741 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Mean); |
742 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Clip); |
743 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Gemm); |
744 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, MatMul); |
745 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Expand); |
746 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sign); |
747 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Erf); |
748 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, SoftmaxCrossEntropyLoss); |
749 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, NegativeLogLikelihoodLoss); |
750 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Dropout); |
751 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Flatten); |
752 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, LRN); |
753 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, MeanVarianceNormalization); |
754 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceMax); |
755 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceMin); |
756 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceSum); |
757 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceSumSquare); |
758 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceMean); |
759 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceProd); |
760 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceLogSum); |
761 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceLogSumExp); |
762 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceL1); |
763 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceL2); |
764 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ArgMax); |
765 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ArgMin); |
766 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Cast); |
767 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Reshape); |
768 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Shape); |
769 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Size); |
770 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Concat); |
771 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Split); |
772 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Slice); |
773 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Transpose); |
774 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ScatterND); |
775 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ScatterElements); |
776 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Gather); |
777 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, GatherElements); |
778 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Squeeze); |
779 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Unsqueeze); |
780 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, SpaceToDepth); |
781 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, DepthToSpace); |
782 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Tile); |
783 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Resize); |
784 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Identity); |
785 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, IsNaN); |
786 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, NonZero); |
787 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, GatherND); |
788 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Pad); |
789 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, QuantizeLinear); |
790 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, DequantizeLinear); |
791 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Loop); |
792 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, If); |
793 | |
794 | // Iterate over schema from ai.onnx version 13 |
795 | class OpSet_Onnx_ver13 { |
796 | public: |
797 | static void ForEachSchema(std::function<void(OpSchema&&)> fn) { |
798 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Constant)>()); |
799 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Greater)>()); |
800 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Less)>()); |
801 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Equal)>()); |
802 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Add)>()); |
803 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sub)>()); |
804 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Mul)>()); |
805 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Div)>()); |
806 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Softmax)>()); |
807 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, LogSoftmax)>()); |
808 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Hardmax)>()); |
809 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Mod)>()); |
810 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Neg)>()); |
811 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Abs)>()); |
812 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Reciprocal)>()); |
813 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Floor)>()); |
814 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Ceil)>()); |
815 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sqrt)>()); |
816 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Relu)>()); |
817 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Exp)>()); |
818 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Log)>()); |
819 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Tanh)>()); |
820 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Pow)>()); |
821 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sigmoid)>()); |
822 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Max)>()); |
823 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Min)>()); |
824 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sum)>()); |
825 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Mean)>()); |
826 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Clip)>()); |
827 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Gemm)>()); |
828 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, MatMul)>()); |
829 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Expand)>()); |
830 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Sign)>()); |
831 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Erf)>()); |
832 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, SoftmaxCrossEntropyLoss)>()); |
833 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, NegativeLogLikelihoodLoss)>()); |
834 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Dropout)>()); |
835 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Flatten)>()); |
836 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, LRN)>()); |
837 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, MeanVarianceNormalization)>()); |
838 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceMax)>()); |
839 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceMin)>()); |
840 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceSum)>()); |
841 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceSumSquare)>()); |
842 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceMean)>()); |
843 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceProd)>()); |
844 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceLogSum)>()); |
845 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceLogSumExp)>()); |
846 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceL1)>()); |
847 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ReduceL2)>()); |
848 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ArgMax)>()); |
849 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ArgMin)>()); |
850 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Cast)>()); |
851 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Reshape)>()); |
852 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Shape)>()); |
853 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Size)>()); |
854 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Concat)>()); |
855 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Split)>()); |
856 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Slice)>()); |
857 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Transpose)>()); |
858 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ScatterND)>()); |
859 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, ScatterElements)>()); |
860 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Gather)>()); |
861 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, GatherElements)>()); |
862 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Squeeze)>()); |
863 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Unsqueeze)>()); |
864 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, SpaceToDepth)>()); |
865 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, DepthToSpace)>()); |
866 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Tile)>()); |
867 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Resize)>()); |
868 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Identity)>()); |
869 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, IsNaN)>()); |
870 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, NonZero)>()); |
871 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, GatherND)>()); |
872 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Pad)>()); |
873 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, QuantizeLinear)>()); |
874 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, DequantizeLinear)>()); |
875 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, Loop)>()); |
876 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 13, If)>()); |
877 | } |
878 | }; |
879 | |
880 | // Forward declarations for ai.onnx version 14 |
881 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, CumSum); |
882 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Relu); |
883 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Reshape); |
884 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, GRU); |
885 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, LSTM); |
886 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, RNN); |
887 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Trilu); |
888 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, BatchNormalization); |
889 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, HardSwish); |
890 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Add); |
891 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Sub); |
892 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Mul); |
893 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Div); |
894 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Identity); |
895 | |
896 | // Iterate over schema from ai.onnx version 14 |
897 | class OpSet_Onnx_ver14 { |
898 | public: |
899 | static void ForEachSchema(std::function<void(OpSchema&&)> fn) { |
900 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, CumSum)>()); |
901 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Relu)>()); |
902 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Reshape)>()); |
903 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, GRU)>()); |
904 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, LSTM)>()); |
905 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, RNN)>()); |
906 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Trilu)>()); |
907 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, BatchNormalization)>()); |
908 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, HardSwish)>()); |
909 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Add)>()); |
910 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Sub)>()); |
911 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Mul)>()); |
912 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Div)>()); |
913 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 14, Identity)>()); |
914 | } |
915 | }; |
916 | |
917 | // Forward declarations for ai.onnx version 15 |
918 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, BatchNormalization); |
919 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Bernoulli); |
920 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Pow); |
921 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Optional); |
922 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, OptionalHasElement); |
923 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, OptionalGetElement); |
924 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, CastLike); |
925 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Shape); |
926 | |
927 | // Iterate over schema from ai.onnx version 15 |
928 | class OpSet_Onnx_ver15 { |
929 | public: |
930 | static void ForEachSchema(std::function<void(OpSchema&&)> fn) { |
931 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, BatchNormalization)>()); |
932 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Bernoulli)>()); |
933 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Pow)>()); |
934 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Optional)>()); |
935 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, OptionalHasElement)>()); |
936 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, OptionalGetElement)>()); |
937 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, CastLike)>()); |
938 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 15, Shape)>()); |
939 | } |
940 | }; |
941 | |
942 | // Forward declarations for ai.onnx version 16 |
943 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, RoiAlign); |
944 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, ScatterND); |
945 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, ScatterElements); |
946 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, If); |
947 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Loop); |
948 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Identity); |
949 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Where); |
950 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, GridSample); |
951 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Scan); |
952 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, LessOrEqual); |
953 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, GreaterOrEqual); |
954 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, LeakyRelu); |
955 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, PRelu); |
956 | |
957 | // Iterate over schema from ai.onnx version 16 |
958 | class OpSet_Onnx_ver16 { |
959 | public: |
960 | static void ForEachSchema(std::function<void(OpSchema&&)> fn) { |
961 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, RoiAlign)>()); |
962 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, ScatterND)>()); |
963 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, ScatterElements)>()); |
964 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, If)>()); |
965 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Loop)>()); |
966 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Identity)>()); |
967 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Where)>()); |
968 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, GridSample)>()); |
969 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, Scan)>()); |
970 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, LessOrEqual)>()); |
971 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, GreaterOrEqual)>()); |
972 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, LeakyRelu)>()); |
973 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 16, PRelu)>()); |
974 | } |
975 | }; |
976 | |
977 | // Forward declarations for ai.onnx version 17 |
978 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, LayerNormalization); |
979 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, SequenceMap); |
980 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, DFT); |
981 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, HannWindow); |
982 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, HammingWindow); |
983 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, BlackmanWindow); |
984 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, MelWeightMatrix); |
985 | class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, STFT); |
986 | |
987 | // Iterate over schema from ai.onnx version 17 |
988 | class OpSet_Onnx_ver17 { |
989 | public: |
990 | static void ForEachSchema(std::function<void(OpSchema&&)> fn) { |
991 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, LayerNormalization)>()); |
992 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, SequenceMap)>()); |
993 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, DFT)>()); |
994 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, HannWindow)>()); |
995 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, HammingWindow)>()); |
996 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, BlackmanWindow)>()); |
997 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, MelWeightMatrix)>()); |
998 | fn(GetOpSchema<ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 17, STFT)>()); |
999 | } |
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 | inline void RegisterOnnxOperatorSetSchema() { |
1062 | RegisterOpSetSchema<OpSet_Onnx_ver1>(); |
1063 | RegisterOpSetSchema<OpSet_Onnx_ver2>(); |
1064 | RegisterOpSetSchema<OpSet_Onnx_ver3>(); |
1065 | RegisterOpSetSchema<OpSet_Onnx_ver4>(); |
1066 | RegisterOpSetSchema<OpSet_Onnx_ver5>(); |
1067 | RegisterOpSetSchema<OpSet_Onnx_ver6>(); |
1068 | RegisterOpSetSchema<OpSet_Onnx_ver7>(); |
1069 | RegisterOpSetSchema<OpSet_Onnx_ver8>(); |
1070 | RegisterOpSetSchema<OpSet_Onnx_ver9>(); |
1071 | RegisterOpSetSchema<OpSet_Onnx_ver10>(); |
1072 | RegisterOpSetSchema<OpSet_Onnx_ver11>(); |
1073 | RegisterOpSetSchema<OpSet_Onnx_ver12>(); |
1074 | RegisterOpSetSchema<OpSet_Onnx_ver13>(); |
1075 | RegisterOpSetSchema<OpSet_Onnx_ver14>(); |
1076 | RegisterOpSetSchema<OpSet_Onnx_ver15>(); |
1077 | RegisterOpSetSchema<OpSet_Onnx_ver16>(); |
1078 | RegisterOpSetSchema<OpSet_Onnx_ver17>(); |
1079 | RegisterOpSetSchema<OpSet_Onnx_ver18>(); |
1080 | // 0 means all versions of ONNX schema have been loaded |
1081 | OpSchemaRegistry::Instance()->SetLoadedSchemaVersion(0); |
1082 | } |
1083 | |
1084 | inline void RegisterOnnxOperatorSetSchema(int target_version) { |
1085 | // Update here if opset_version bumps |
1086 | // These calls for schema registration here are required to be in descending order for this to work correctly |
1087 | RegisterOpSetSchema<OpSet_Onnx_ver18>(target_version); |
1088 | RegisterOpSetSchema<OpSet_Onnx_ver17>(target_version); |
1089 | RegisterOpSetSchema<OpSet_Onnx_ver16>(target_version); |
1090 | RegisterOpSetSchema<OpSet_Onnx_ver15>(target_version); |
1091 | RegisterOpSetSchema<OpSet_Onnx_ver14>(target_version); |
1092 | RegisterOpSetSchema<OpSet_Onnx_ver13>(target_version); |
1093 | RegisterOpSetSchema<OpSet_Onnx_ver12>(target_version); |
1094 | RegisterOpSetSchema<OpSet_Onnx_ver11>(target_version); |
1095 | RegisterOpSetSchema<OpSet_Onnx_ver10>(target_version); |
1096 | RegisterOpSetSchema<OpSet_Onnx_ver9>(target_version); |
1097 | RegisterOpSetSchema<OpSet_Onnx_ver8>(target_version); |
1098 | RegisterOpSetSchema<OpSet_Onnx_ver7>(target_version); |
1099 | RegisterOpSetSchema<OpSet_Onnx_ver6>(target_version); |
1100 | RegisterOpSetSchema<OpSet_Onnx_ver5>(target_version); |
1101 | RegisterOpSetSchema<OpSet_Onnx_ver4>(target_version); |
1102 | RegisterOpSetSchema<OpSet_Onnx_ver3>(target_version); |
1103 | RegisterOpSetSchema<OpSet_Onnx_ver2>(target_version); |
1104 | RegisterOpSetSchema<OpSet_Onnx_ver1>(target_version); |
1105 | // Sets to record the loaded version and prevent the full operator check in Debug mode |
1106 | OpSchemaRegistry::Instance()->SetLoadedSchemaVersion(target_version); |
1107 | } |
1108 | |
1109 | } // namespace ONNX_NAMESPACE |
1110 | |