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1 /* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
2 
3 Licensed under the Apache License, Version 2.0 (the "License");
4 you may not use this file except in compliance with the License.
5 You may obtain a copy of the License at
6 
7     http://www.apache.org/licenses/LICENSE-2.0
8 
9 Unless required by applicable law or agreed to in writing, software
10 distributed under the License is distributed on an "AS IS" BASIS,
11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 See the License for the specific language governing permissions and
13 limitations under the License.
14 ==============================================================================*/
15 
16 #ifndef TENSORFLOW_LITE_BUILTIN_OPS_H_
17 #define TENSORFLOW_LITE_BUILTIN_OPS_H_
18 
19 // DO NOT EDIT MANUALLY: This file is automatically generated by
20 // `schema/builtin_ops_header/generator.cc`.
21 
22 #ifdef __cplusplus
23 extern "C" {
24 #endif  // __cplusplus
25 
26 // The enum for builtin operators.
27 // Note: CUSTOM, DELEGATE, and PLACEHOLDER_FOR_GREATER_OP_CODES are 3 special
28 // ops which are not real built-in ops.
29 typedef enum {
30   kTfLiteBuiltinAdd = 0,
31   kTfLiteBuiltinAveragePool2d = 1,
32   kTfLiteBuiltinConcatenation = 2,
33   kTfLiteBuiltinConv2d = 3,
34   kTfLiteBuiltinDepthwiseConv2d = 4,
35   kTfLiteBuiltinDepthToSpace = 5,
36   kTfLiteBuiltinDequantize = 6,
37   kTfLiteBuiltinEmbeddingLookup = 7,
38   kTfLiteBuiltinFloor = 8,
39   kTfLiteBuiltinFullyConnected = 9,
40   kTfLiteBuiltinHashtableLookup = 10,
41   kTfLiteBuiltinL2Normalization = 11,
42   kTfLiteBuiltinL2Pool2d = 12,
43   kTfLiteBuiltinLocalResponseNormalization = 13,
44   kTfLiteBuiltinLogistic = 14,
45   kTfLiteBuiltinLshProjection = 15,
46   kTfLiteBuiltinLstm = 16,
47   kTfLiteBuiltinMaxPool2d = 17,
48   kTfLiteBuiltinMul = 18,
49   kTfLiteBuiltinRelu = 19,
50   kTfLiteBuiltinReluN1To1 = 20,
51   kTfLiteBuiltinRelu6 = 21,
52   kTfLiteBuiltinReshape = 22,
53   kTfLiteBuiltinResizeBilinear = 23,
54   kTfLiteBuiltinRnn = 24,
55   kTfLiteBuiltinSoftmax = 25,
56   kTfLiteBuiltinSpaceToDepth = 26,
57   kTfLiteBuiltinSvdf = 27,
58   kTfLiteBuiltinTanh = 28,
59   kTfLiteBuiltinConcatEmbeddings = 29,
60   kTfLiteBuiltinSkipGram = 30,
61   kTfLiteBuiltinCall = 31,
62   kTfLiteBuiltinCustom = 32,
63   kTfLiteBuiltinEmbeddingLookupSparse = 33,
64   kTfLiteBuiltinPad = 34,
65   kTfLiteBuiltinUnidirectionalSequenceRnn = 35,
66   kTfLiteBuiltinGather = 36,
67   kTfLiteBuiltinBatchToSpaceNd = 37,
68   kTfLiteBuiltinSpaceToBatchNd = 38,
69   kTfLiteBuiltinTranspose = 39,
70   kTfLiteBuiltinMean = 40,
71   kTfLiteBuiltinSub = 41,
72   kTfLiteBuiltinDiv = 42,
73   kTfLiteBuiltinSqueeze = 43,
74   kTfLiteBuiltinUnidirectionalSequenceLstm = 44,
75   kTfLiteBuiltinStridedSlice = 45,
76   kTfLiteBuiltinBidirectionalSequenceRnn = 46,
77   kTfLiteBuiltinExp = 47,
78   kTfLiteBuiltinTopkV2 = 48,
79   kTfLiteBuiltinSplit = 49,
80   kTfLiteBuiltinLogSoftmax = 50,
81   kTfLiteBuiltinDelegate = 51,
82   kTfLiteBuiltinBidirectionalSequenceLstm = 52,
83   kTfLiteBuiltinCast = 53,
84   kTfLiteBuiltinPrelu = 54,
85   kTfLiteBuiltinMaximum = 55,
86   kTfLiteBuiltinArgMax = 56,
87   kTfLiteBuiltinMinimum = 57,
88   kTfLiteBuiltinLess = 58,
89   kTfLiteBuiltinNeg = 59,
90   kTfLiteBuiltinPadv2 = 60,
91   kTfLiteBuiltinGreater = 61,
92   kTfLiteBuiltinGreaterEqual = 62,
93   kTfLiteBuiltinLessEqual = 63,
94   kTfLiteBuiltinSelect = 64,
95   kTfLiteBuiltinSlice = 65,
96   kTfLiteBuiltinSin = 66,
97   kTfLiteBuiltinTransposeConv = 67,
98   kTfLiteBuiltinSparseToDense = 68,
99   kTfLiteBuiltinTile = 69,
100   kTfLiteBuiltinExpandDims = 70,
101   kTfLiteBuiltinEqual = 71,
102   kTfLiteBuiltinNotEqual = 72,
103   kTfLiteBuiltinLog = 73,
104   kTfLiteBuiltinSum = 74,
105   kTfLiteBuiltinSqrt = 75,
106   kTfLiteBuiltinRsqrt = 76,
107   kTfLiteBuiltinShape = 77,
108   kTfLiteBuiltinPow = 78,
109   kTfLiteBuiltinArgMin = 79,
110   kTfLiteBuiltinFakeQuant = 80,
111   kTfLiteBuiltinReduceProd = 81,
112   kTfLiteBuiltinReduceMax = 82,
113   kTfLiteBuiltinPack = 83,
114   kTfLiteBuiltinLogicalOr = 84,
115   kTfLiteBuiltinOneHot = 85,
116   kTfLiteBuiltinLogicalAnd = 86,
117   kTfLiteBuiltinLogicalNot = 87,
118   kTfLiteBuiltinUnpack = 88,
119   kTfLiteBuiltinReduceMin = 89,
120   kTfLiteBuiltinFloorDiv = 90,
121   kTfLiteBuiltinReduceAny = 91,
122   kTfLiteBuiltinSquare = 92,
123   kTfLiteBuiltinZerosLike = 93,
124   kTfLiteBuiltinFill = 94,
125   kTfLiteBuiltinFloorMod = 95,
126   kTfLiteBuiltinRange = 96,
127   kTfLiteBuiltinResizeNearestNeighbor = 97,
128   kTfLiteBuiltinLeakyRelu = 98,
129   kTfLiteBuiltinSquaredDifference = 99,
130   kTfLiteBuiltinMirrorPad = 100,
131   kTfLiteBuiltinAbs = 101,
132   kTfLiteBuiltinSplitV = 102,
133   kTfLiteBuiltinUnique = 103,
134   kTfLiteBuiltinCeil = 104,
135   kTfLiteBuiltinReverseV2 = 105,
136   kTfLiteBuiltinAddN = 106,
137   kTfLiteBuiltinGatherNd = 107,
138   kTfLiteBuiltinCos = 108,
139   kTfLiteBuiltinWhere = 109,
140   kTfLiteBuiltinRank = 110,
141   kTfLiteBuiltinElu = 111,
142   kTfLiteBuiltinReverseSequence = 112,
143   kTfLiteBuiltinMatrixDiag = 113,
144   kTfLiteBuiltinQuantize = 114,
145   kTfLiteBuiltinMatrixSetDiag = 115,
146   kTfLiteBuiltinRound = 116,
147   kTfLiteBuiltinHardSwish = 117,
148   kTfLiteBuiltinIf = 118,
149   kTfLiteBuiltinWhile = 119,
150   kTfLiteBuiltinNonMaxSuppressionV4 = 120,
151   kTfLiteBuiltinNonMaxSuppressionV5 = 121,
152   kTfLiteBuiltinScatterNd = 122,
153   kTfLiteBuiltinSelectV2 = 123,
154   kTfLiteBuiltinDensify = 124,
155   kTfLiteBuiltinSegmentSum = 125,
156   kTfLiteBuiltinBatchMatmul = 126,
157   kTfLiteBuiltinPlaceholderForGreaterOpCodes = 127,
158   kTfLiteBuiltinCumsum = 128,
159   kTfLiteBuiltinCallOnce = 129,
160   kTfLiteBuiltinBroadcastTo = 130,
161   kTfLiteBuiltinRfft2d = 131,
162   kTfLiteBuiltinConv3d = 132,
163   kTfLiteBuiltinImag = 133,
164   kTfLiteBuiltinReal = 134,
165   kTfLiteBuiltinComplexAbs = 135,
166 } TfLiteBuiltinOperator;
167 
168 #ifdef __cplusplus
169 }  // extern "C"
170 #endif  // __cplusplus
171 #endif  // TENSORFLOW_LITE_BUILTIN_OPS_H_
172