package tflchef

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None

Used in: Operation

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This enum value corresponds to ActivationFunctionType in TensorFlow Lite schema

Used in: AddOptions, BidirectionalSequenceLSTMOptions, ConcatenationOptions, Conv2DOptions, DepthwiseConv2DOptions, DivOptions, FullyConnectedOptions, L2NormOptions, MulOptions, Pool2DOptions, SVDFOptions, SubOptions, TransposeConvOptions, UnidirectionalSequenceLSTMOptions

• NONE = 0

• RELU = 1

• RELU_N1_TO_1 = 2

• RELU6 = 3

• TANH = 4

• SIGN_BIT = 5

None

Used in: Operation

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Used in: Operation

• optional Activation activation = 1

Used in: Operation

• optional TensorType output_type = 1

Used in: Operation

• optional TensorType output_type = 1

Used in: Operation

• optional bool adj_x = 1

• optional bool adj_y = 2

None

Used in: Operation

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Used in: Operation

• optional Activation activation = 1

• optional float cell_clip = 2

• optional float proj_clip = 3

• optional bool merge_outputs = 6

• optional bool time_major = 4

• optional bool asymmetric_quantize_inputs = 5

None

(message has no fields)

Used in: Operation

• optional TensorType in_data_type = 1

• optional TensorType out_data_type = 2

Used in: Operation

• optional int32 axis = 1

• optional Activation activation = 2

Used in: Operation

• optional Padding padding = 1

• optional int32 stride_w = 2

• optional int32 stride_h = 3

• optional Activation activation = 4

• optional int32 dilation_w_factor = 5

• optional int32 dilation_h_factor = 6

None

Used in: Operation

(message has no fields)

Used in: Operation

• optional bool exclusive = 1

• optional bool reverse = 2

NONE

Used in: Operation

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Used in: Operation

• optional int32 block_size = 1

Used in: Operation

• optional Padding padding = 1

• optional int32 stride_w = 2

• optional int32 stride_h = 3

• optional int32 depth_multiplier = 4

• optional Activation activation = 5

• optional int32 dilation_w_factor = 6

• optional int32 dilation_h_factor = 7

NONE

Used in: Operation

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Used in: TensorSparsity.DimMetaData

• DENSE = 0

• SPARSE_CSR = 1

Used in: Operation

• optional Activation activation = 1

None

Used in: Operation

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None

Used in: Operation

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None

Used in: Operation

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Used in: Operation

• optional float min = 1

• optional float max = 2

• optional int32 num_bits = 3

• optional bool narrow_range = 4

None

Used in: Operation

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None

Used in: Operation

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None

Used in: Operation

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Used in: Operation

• optional Activation activation = 1

• optional bool keep_num_dims = 2

None

Used in: Operation

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Used in: Operation

• optional int32 axis = 1

Used in: Operation

• optional bool approximate = 1

For additional subgraphs

Used in: ModelRecipe

• repeated Operand operand = 1

• repeated Operation operation = 2

• repeated string input = 3

• repeated string output = 4

• optional string name = 5

None

Used in: Operation

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None

Used in: Operation

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Used in: Operation

• optional int32 then_subgraph_index = 1

• optional int32 else_subgraph_index = 2

Used in: Operation

• optional Activation activation = 1

Used in: Operation

• optional float alpha = 1

None

Used in: Operation

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None

Used in: Operation

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Used in: Operation

• optional int32 radius = 1

• optional float bias = 2

• optional float alpha = 3

• optional float beta = 4

None

Used in: Operation

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None

Used in: Operation

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None

Used in: Operation

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None

Used in: Operation

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Used in: Operation

• optional bool transpose_a = 1

• optional bool transpose_b = 2

NONE

Used in: Operation

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NONE

Used in: Operation

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Used in: Operation

• optional Padding padding = 1

• optional int32 stride_w = 2

• optional int32 stride_h = 3

• optional int32 filter_width = 4

• optional int32 filter_height = 5

• optional TensorType output_type = 6

• optional bool include_batch_in_index = 7

None

Used in: Operation

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This enum value corresponds to MirrorPadMode in TensorFlow Lite schema

Used in: MirrorPadOptions

• REFLECT = 0

• SYMMETRIC = 1

Used in: Operation

• optional MirrorPadMode mode = 1

• repeated Operand operand = 1

• repeated Operation operation = 2

• repeated string input = 3

• repeated string output = 4

• optional string name = 5

• optional uint32 version = 6

• repeated Graph graph = 7

• repeated SignatureDef signature_def = 8

• optional bool ext_offset = 9

  store to external and use (Buffer) offset

Used in: Operation

• optional Activation activation = 1

None

Used in: Operation

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None

Used in: Operation

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None

Used in: Operation

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None

Used in: Operation

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Used in: Operation

• optional int32 axis = 1

Used in: Graph, ModelRecipe

• optional string name = 1

• optional TensorType type = 2

• optional TensorShape shape = 3

• optional TensorFiller filler = 4

• optional TensorQuantization quant = 5

• optional TensorSparsity sparsity = 6

• optional bool is_variable = 7

• optional ShapeSignature shape_signature = 8

• optional bool make_sparse = 9

  'make_sparse' is to tell tflchef to make a sparse tensor as filling 'TensorSparsity' by hand can be difficult for now, last dimension will be SPARSE_CSR ex) shape [2, 3, 4] will have TraversalOrder [0, 1, 2] with [DENSE, DENSE, SPARSE_CSR]

Used in: Graph, ModelRecipe

• optional string type = 1

• repeated string input = 2

• repeated string output = 3

• optional int32 version = 4

• optional string custom_code = 5

• optional Conv2DOptions conv2d_options = 100

• optional Pool2DOptions averagepool2d_options = 101

• optional ConcatenationOptions concatenation_options = 102

• optional Pool2DOptions maxpool2d_options = 103

• optional ReshapeOptions reshape_options = 104

• optional DepthwiseConv2DOptions depthwiseconv2d_options = 105

• optional SubOptions sub_options = 106

• optional DivOptions div_options = 107

• optional FullyConnectedOptions fullyconnected_options = 108

• optional AddOptions add_options = 109

• optional ArgMaxOptions argmax_options = 110

• optional PadOptions pad_options = 111

• optional SoftmaxOptions softmax_options = 112

• optional MulOptions mul_options = 113

• optional ReducerOptions mean_options = 114

• optional TransposeOptions transpose_options = 115

• optional PackOptions pack_options = 116

• optional LogicalOrOptions logical_or_options = 117

• optional LogicalNotOptions logical_not_options = 118

• optional LogicalAndOptions logical_and_options = 119

• optional AbsOptions abs_options = 120

• optional CosOptions cos_options = 121

• optional EqualOptions equal_options = 122

• optional ShapeOptions shape_options = 123

• optional FloorDivOptions floordiv_options = 124

• optional BatchToSpaceNDOptions batch_to_space_options = 125

• optional ExpOptions exp_options = 126

• optional UnpackOptions unpack_options = 127

• optional GatherOptions gather_options = 128

• optional BatchMatMulOptions batch_matmul_options = 129

• optional TileOptions tile_options = 130

• optional IfOptions if_options = 131

• optional WhileOptions while_options = 132

• optional SpaceToBatchNDOptions space_to_batch_nd_options = 133

• optional CastOptions cast_options = 134

• optional GreaterEqualOptions greaterequal_options = 135

• optional MaximumMinimumOptions maximum_options = 136

• optional StridedSliceOptions strided_slice_options = 137

• optional SquaredDifferenceOptions squared_difference_options = 138

• optional FillOptions fill_options = 139

• optional SelectOptions select_options = 140

• optional ReducerOptions reduce_prod_options = 141

• optional SplitOptions split_options = 142

• optional SplitVOptions split_v_options = 143

• optional ReducerOptions sum_options = 144

• optional GreaterOptions greater_options = 145

• optional SqueezeOptions squeeze_options = 146

• optional FloorModOptions floormod_options = 147

• optional OneHotOptions onehot_options = 148

• optional LessOptions less_options = 149

• optional ReducerOptions reduce_max_options = 150

• optional MaximumMinimumOptions minimum_options = 151

• optional ReducerOptions reduce_any_options = 152

• optional ZerosLikeOptions zeros_like_options = 153

• optional SVDFOptions svdf_options = 156

  ConcatEmbeddingsOptions 154 LSHProjectionOptions 155

• optional L2NormOptions l2norm_options = 158

  RNNOptions 157

• optional LocalResponseNormalizationOptions local_response_normalization_options = 159

• optional ResizeBilinearOptions resize_bilinear_options = 161

  LSTMOptions 160

• optional SpaceToDepthOptions space_to_depth_options = 164

  CallOptions 162 SkipGramOptions 163

• optional TopKV2Options topk_v2_options = 167

  EmbeddingLookupSparseOptions 165 SequenceRNNOptions 166

• optional LogSoftmaxOptions log_softmax_options = 168

• optional DequantizeOptions dequantize_options = 169

• optional NegOptions neg_options = 170

• optional PadV2Options padv2_options = 171

• optional LessEqualOptions lessequal_options = 172

• optional SliceOptions slice_options = 173

• optional TransposeConvOptions transpose_conv_options = 174

• optional SparseToDenseOptions sparse_to_dense_options = 175

• optional PowOptions pow_options = 176

• optional ArgMinOptions argmin_options = 177

• optional FakeQuantOptions fakequant_options = 178

• optional BidirectionalSequenceLSTMOptions bidirectional_sequence_lstm_options = 179

• optional UnidirectionalSequenceLSTMOptions unidirectional_sequence_lstm_options = 181

  BidirectionalSequenceRNNOptions 180

• optional RangeOptions range_options = 182

• optional ResizeNearestNeighborOptions resize_nearest_neighbor_options = 183

• optional LeakyReluOptions leaky_relu_options = 184

• optional MirrorPadOptions mirrorpad_options = 185

• optional UniqueOptions unique_options = 186

• optional ReverseV2Options reversev2_options = 187

• optional GatherNdOptions gather_nd_options = 189

  AddNOptions 188

• optional WhereOptions where_options = 190

• optional RankOptions rank_options = 191

• optional ReverseSequenceOptions reverse_sequence_options = 192

• optional MatrixDiagOptions matrix_diag_options = 193

• optional MatrixSetDiagOptions matrix_set_diag_options = 195

  QuantizeOptions 194

• optional DepthToSpaceOptions depth_to_space_options = 197

  HardSwishOptions 196

• optional NonMaxSuppressionV4Options non_max_suppression_v4_options = 198

• optional NonMaxSuppressionV5Options non_max_suppression_v5_options = 199

• optional ScatterNdOptions scatter_nd_options = 200

• optional NotEqualOptions notequal_options = 201

• optional ExpandDimsOptions expand_dims_options = 202

• optional Pool2DOptions l2pool2d_options = 203

• optional ReducerOptions all_options = 204

• optional ReducerOptions reduce_min_options = 205

• optional SegmentSumOptions segment_sum_options = 206

• optional AddNOptions add_n_options = 207

• optional MatMulOptions matmul_options = 208

• optional MaxPoolWithArgmaxOptions max_pool_with_argmax_options = 209

• optional DensifyOptions densify_options = 210

• optional GeluOptions gelu_options = 211

• optional CumSumOptions cumsum_options = 212

  NOTE if there are more than two options with same type of Options use the number not listed in the above reserve list

Used in: Operation

• optional int32 values_count = 1

• optional int32 axis = 2

None

Used in: Operation

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None

Used in: Operation

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This enum value corresponds to Padding in TensorFlow Lite schema

Used in: Conv2DOptions, DepthwiseConv2DOptions, MaxPoolWithArgmaxOptions, Pool2DOptions, TransposeConvOptions

• SAME = 0

• VALID = 1

Used in: Operation

• optional Padding padding = 1

• optional int32 stride_w = 2

• optional int32 stride_h = 3

• optional int32 filter_width = 4

• optional int32 filter_height = 5

• optional Activation activation = 6

None

Used in: Operation

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None

Used in: Operation

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NONE

Used in: Operation

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Used in: Operation

• optional bool keep_dims = 1

Used in: Operation

• repeated int32 new_shape = 1

Used in: Operation

• optional bool align_corners = 1

• optional bool half_pixel_centers = 2

Used in: Operation

• optional bool align_corners = 1

Used in: Operation

• optional int32 seq_dim = 1

• optional int32 batch_dim = 2

None

Used in: Operation

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Used in: Operation

• optional int32 rank = 1

• optional Activation activation = 2

• optional bool asymmetric_quantize_inputs = 3

None

Used in: Operation

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NONE

Used in: Operation

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None

Used in: Operation

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None

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Used in: Operation

• optional TensorType out_type = 1

Used in: Operand

• repeated int32 dim = 1

Used in: ModelRecipe

• repeated TensorMap inputs = 4

• repeated TensorMap outputs = 5

• optional string signature_key = 6

• optional uint32 subgraph_index = 12

  optional string key = 10; obsolete in TF2.8.0

None

Used in: Operation

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Used in: Operation

• optional float beta = 1

None

Used in: Operation

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Used in: Operation

• optional int32 block_size = 1

Used in: TensorSparsity.IndexVec

• SparseIdxVecType_NONE = 0

• INT32VEC = 1

• UINT16VEC = 2

• UINT8VEC = 3

Used in: Operation

• optional bool validate_indices = 1

Used in: Operation

• optional int32 num_splits = 1

Used in: Operation

• optional int32 num_splits = 1

None

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None

Used in: Operation

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Used in: Operation

• repeated int32 squeeze_dim = 1

Used in: Operation

• optional int32 begin_mask = 1

• optional int32 end_mask = 2

• optional int32 ellipsis_mask = 3

• optional int32 new_axis_mask = 4

• optional int32 shrink_axis_mask = 5

Used in: Operation

• optional Activation activation = 1

Used in: Operand

• optional string tag = 1

• repeated string arg = 2

Used in: SignatureDef

• optional string name = 4

• optional string tensor = 5

  use tensor as name of the Operand or use tensor_index as order number. either one should exist.

• optional uint32 tensor_index = 6

Used in: Operand

• repeated float min = 1

• repeated float max = 2

• repeated float scale = 3

• repeated int64 zero_point = 4

• optional int32 quantized_dimension = 5

Used in: Operand

• repeated uint32 dim = 3

Used in: Operand

• optional TensorSparsity.TraversalOrder traversal_order = 1

• optional TensorSparsity.BlockMap block_map = 2

• repeated TensorSparsity.DimMetaData dim_metadata = 3

Used in: TensorSparsity

• repeated int32 dim = 1

Used in: TensorSparsity

• optional DimensionType format = 1

• optional int32 dense_size = 2

• optional IndexVec array_segments = 3

• optional IndexVec array_indices = 4

Used in: DimMetaData

• repeated int32 dim = 1

• optional SparseIndexVecType type = 2

Used in: TensorSparsity

• repeated int32 dim = 1

This enum value corresponds to TensorType in TensorFlow Lite schema

Used in: ArgMaxOptions, ArgMinOptions, CastOptions, MaxPoolWithArgmaxOptions, Operand, ShapeOptions, UniqueOptions

• FLOAT32 = 0

• FLOAT16 = 1

• INT32 = 2

• UINT8 = 3

• INT64 = 4

• STRING = 5

• BOOL = 6

• INT16 = 7

• INT8 = 9

• INT4 = 17

None

Used in: Operation

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None

Used in: Operation

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Used in: Operation

• optional Padding padding = 1

• optional int32 stride_w = 2

• optional int32 stride_h = 3

• optional Activation activation = 4

None

Used in: Operation

(message has no fields)

Used in: Operation

• optional Activation activation = 1

• optional float cell_clip = 2

• optional float proj_clip = 3

• optional bool time_major = 4

• optional bool asymmetric_quantize_inputs = 5

Used in: Operation

• optional TensorType idx_out_type = 1

Used in: Operation

• optional int32 num = 1

• optional int32 axis = 2

None

Used in: Operation

(message has no fields)

Used in: Operation

• optional int32 cond_subgraph_index = 1

• optional int32 body_subgraph_index = 2

None

Used in: Operation

(message has no fields)