feat(ext): restore tflite function (#3044)

Signed-off-by: Jiyong Huang <[email protected]>

extensions/functions/dependencies/tensorflow/tensorflow/lite/builtin_ops.h

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