// Version 1: Add subgraphs to schema.
// Version 2: Rename operators to conform to NN API.
// Version 3: Move buffer data from Model.Subgraph.Tensors to Model.Buffers.
+// Version 3a: Add new builtin op code field. Has backward compatibility with
+// version 3.
+// Version 3b: Rename fields in SignatureDef. Has backward compatibility with
+// version 3 and 3a.
// Change namespace to onert_tflite
namespace onert_tflite;
COMPLEX64 = 8,
INT8 = 9,
FLOAT64 = 10,
+ COMPLEX128 = 11,
+ UINT64 = 12,
+ // Experimental: Resource and variant types are experimental, that are subject
+ // to change. Do not implement custom kernels using resource & variant types
+ // now.
+ RESOURCE = 13,
+ VARIANT = 14,
+ UINT32 = 15,
+ UINT16 = 16
}
// Custom quantization parameters for experimenting with new quantization
// Encodes `shape` with unknown dimensions. Unknown dimensions are
// represented with -1.
shape_signature:[int]; // Optional.
+
+ // If false, the rank or the number of tensor dimensions is unknown.
+ // If false, "shape" must be [].
+ has_rank: bool = false;
}
// A list of builtin operators. Builtin operators are slightly faster than custom
// ones, but not by much. Moreover, while custom operators accept an opaque
// object containing configuration parameters, builtins have a predetermined
// set of acceptable options.
-
-enum BuiltinOperator : byte {
+// LINT.IfChange
+enum BuiltinOperator : int32 {
ADD = 0,
AVERAGE_POOL_2D = 1,
CONCATENATION = 2,
SPACE_TO_DEPTH = 26,
SVDF = 27,
TANH = 28,
- // TODO(aselle): Consider rename to CONCATENATE_EMBEDDINGS
CONCAT_EMBEDDINGS = 29,
SKIP_GRAM = 30,
CALL = 31,
SELECT_V2 = 123,
DENSIFY = 124,
SEGMENT_SUM = 125,
- BATCH_MATMUL = 126
-}
-
+ BATCH_MATMUL = 126,
+ PLACEHOLDER_FOR_GREATER_OP_CODES = 127,
+ CUMSUM = 128,
+ CALL_ONCE = 129,
+ BROADCAST_TO = 130,
+ RFFT2D = 131,
+ CONV_3D = 132,
+ IMAG=133,
+ REAL=134,
+ COMPLEX_ABS=135,
+ HASHTABLE = 136,
+ HASHTABLE_FIND = 137,
+ HASHTABLE_IMPORT = 138,
+ HASHTABLE_SIZE = 139,
+ REDUCE_ALL = 140,
+ CONV_3D_TRANSPOSE = 141,
+ VAR_HANDLE = 142,
+ READ_VARIABLE = 143,
+ ASSIGN_VARIABLE = 144,
+ BROADCAST_ARGS = 145,
+ RANDOM_STANDARD_NORMAL = 146,
+ BUCKETIZE = 147,
+ RANDOM_UNIFORM = 148,
+ MULTINOMIAL = 149,
+ GELU = 150,
+ DYNAMIC_UPDATE_SLICE = 151,
+ RELU_0_TO_1 = 152,
+ UNSORTED_SEGMENT_PROD = 153,
+ UNSORTED_SEGMENT_MAX = 154,
+ UNSORTED_SEGMENT_SUM = 155,
+ ATAN2 = 156
+}
+// LINT.ThenChange(nnapi_linter/linter.proto)
// Options for the builtin operators.
union BuiltinOptions {
SelectV2Options,
DensifyOptions,
SegmentSumOptions,
- BatchMatMulOptions
-}
-
+ BatchMatMulOptions,
+ CumsumOptions,
+ CallOnceOptions,
+ BroadcastToOptions,
+ Rfft2dOptions,
+ Conv3DOptions,
+ HashtableOptions,
+ HashtableFindOptions,
+ HashtableImportOptions,
+ HashtableSizeOptions,
+ VarHandleOptions,
+ ReadVariableOptions,
+ AssignVariableOptions,
+ RandomOptions,
+ BucketizeOptions,
+ GeluOptions,
+ DynamicUpdateSliceOptions,
+ UnsortedSegmentProdOptions,
+ UnsortedSegmentMaxOptions,
+ UnsortedSegmentSumOptions,
+ ATan2Options
+}
+
+// LINT.IfChange
enum Padding : byte { SAME, VALID }
+// LINT.ThenChange(//tensorflow/compiler/mlir/lite/ir/tfl_op_enums.td)
+// LINT.IfChange
enum ActivationFunctionType : byte {
NONE = 0,
RELU = 1,
TANH = 4,
SIGN_BIT = 5,
}
+// LINT.ThenChange(//tensorflow/compiler/mlir/lite/ir/tfl_op_enums.td)
table Conv2DOptions {
padding:Padding;
dilation_h_factor:int = 1;
}
+// Options for both Conv3D and Conv3DTranspose.
+table Conv3DOptions {
+ padding:Padding;
+ stride_d:int;
+ stride_w:int;
+ stride_h:int;
+ fused_activation_function:ActivationFunctionType;
+ dilation_d_factor:int = 1;
+ dilation_w_factor:int = 1;
+ dilation_h_factor:int = 1;
+}
+
table Pool2DOptions {
padding:Padding;
stride_w:int;
asymmetric_quantize_inputs:bool;
}
+// LINT.IfChange
enum FullyConnectedOptionsWeightsFormat: byte {
DEFAULT = 0,
SHUFFLED4x16INT8 = 1,
}
+// LINT.ThenChange(//tensorflow/compiler/mlir/lite/ir/tfl_op_enums.td)
// An implementation of TensorFlow fully_connected (a.k.a Dense) layer.
table FullyConnectedOptions {
table AddOptions {
fused_activation_function:ActivationFunctionType;
+ // Parameters supported by version 3.
+ pot_scale_int16:bool = true;
}
table MulOptions {
}
table L2NormOptions {
+ // This field is currently ignored in the L2 Norm Op.
fused_activation_function:ActivationFunctionType;
}
beta:float;
}
+// LINT.IfChange
enum LSTMKernelType : byte {
// Full LSTM kernel which supports peephole and projection.
FULL = 0,
// Basic LSTM kernels. Equivalent to TensorFlow BasicLSTMCell.
BASIC = 1,
}
+// LINT.ThenChange(//tensorflow/compiler/mlir/lite/ir/tfl_op_enums.td)
// An implementation of TensorFlow LSTMCell and CoupledInputForgetGateLSTMCell
table LSTMOptions {
table ResizeNearestNeighborOptions {
align_corners: bool;
+ half_pixel_centers: bool;
}
// A call operation options
table SubOptions {
fused_activation_function:ActivationFunctionType;
+ // Parameters supported by version 5
+ pot_scale_int16:bool = true;
}
table DivOptions {
table GatherOptions {
axis: int;
+ // Parameters for Gather version 5 or above.
+ batch_dims: int = 0;
}
table TransposeOptions {
table SquaredDifferenceOptions {
}
+// LINT.IfChange
enum MirrorPadMode : byte {
// Doesn't include borders.
REFLECT = 0,
// Includes borders.
SYMMETRIC = 1,
}
+// LINT.ThenChange(//tensorflow/compiler/mlir/lite/ir/tfl_op_enums.td)
table MirrorPadOptions {
mode:MirrorPadMode;
else_subgraph_index:int;
}
+table CallOnceOptions {
+ init_subgraph_index:int;
+}
+
table WhileOptions {
cond_subgraph_index:int;
body_subgraph_index:int;
}
table BatchMatMulOptions {
- adjoint_lhs:bool;
- adjoint_rhs:bool;
+ adj_x:bool;
+ adj_y:bool;
+ // Parameters for BatchMatMul version 4 or above.
+ // If set to true, then weights-only op will use asymmetric quantization for
+ // inputs.
+ asymmetric_quantize_inputs: bool;
+}
+
+table CumsumOptions {
+ exclusive:bool;
+ reverse:bool;
+}
+
+table BroadcastToOptions {
+}
+
+table Rfft2dOptions {
+}
+
+table HashtableOptions {
+ // The identity of hash tables. This identity will be used across different
+ // subgraphs in the same interpreter instance.
+ table_id:int;
+ key_dtype:TensorType;
+ value_dtype:TensorType;
+}
+
+table HashtableFindOptions {
+}
+
+table HashtableImportOptions {
+}
+
+table HashtableSizeOptions {
+}
+
+table VarHandleOptions {
+ container:string;
+ shared_name:string;
}
+table ReadVariableOptions {
+}
+
+table AssignVariableOptions {
+}
+
+table RandomOptions {
+ seed: long;
+ seed2: long;
+}
+
+table BucketizeOptions {
+ boundaries: [float]; // The bucket boundaries.
+}
+
+table GeluOptions {
+ approximate: bool;
+}
+
+table DynamicUpdateSliceOptions {
+}
+
+table UnsortedSegmentProdOptions {
+}
+
+table UnsortedSegmentMaxOptions {
+}
+
+table UnsortedSegmentSumOptions {
+}
+
+table ATan2Options {
+}
+
+
// An OperatorCode can be an enum value (BuiltinOperator) if the operator is a
// builtin, or a string if the operator is custom.
table OperatorCode {
- builtin_code:BuiltinOperator;
+ // This field is for backward compatibility. This field will be used when
+ // the value of the extended builtin_code field has less than
+ // BulitinOperator_PLACEHOLDER_FOR_GREATER_OP_CODES.
+ deprecated_builtin_code:byte;
custom_code:string;
// The version of the operator. The version need to be bumped whenever new
// parameters are introduced into an op.
version:int = 1;
+
+ // This field is introduced for resolving op builtin code shortage problem
+ // (the original BuiltinOperator enum field was represented as a byte).
+ // This field will be used when the value of the extended builtin_code field
+ // has greater than BulitinOperator_PLACEHOLDER_FOR_GREATER_OP_CODES.
+ builtin_code:BuiltinOperator;
}
enum CustomOptionsFormat : byte {
buffer:uint;
}
+// Map from an alias name of tensor to tensor index in the graph.
+// This is used in Signature def.
+table TensorMap {
+ // Represents the alias to use for this tensor.
+ name:string;
+
+ // The actual tensor index in the primary graph, that 'name' corresponds to.
+ tensor_index:uint;
+}
+
+// This corresponds to SignatureDef in Tensorflow SavedModel.
+// The SignatureDef will be part of the SavedModel provided for conversion.
+table SignatureDef {
+ // Named inputs for this signature.
+ inputs:[TensorMap];
+
+ // Named outputs for this signature.
+ outputs:[TensorMap];
+
+ // Key value which was in the Tensorflow SavedModel SignatureDef map.
+ signature_key:string;
+
+ // Model tag, deprecated.
+ deprecated_tag:string (deprecated);
+
+ // Index of subgraphs that corresponds to the exported method.
+ subgraph_index:uint;
+}
+
table Model {
// Version of the schema.
version:uint;
// Metadata about the model.
metadata:[Metadata];
+
+ // Optional SignatureDefs for the model.
+ signature_defs:[SignatureDef];
}
root_type Model;
projects / platform / core / ml / nnfw.git / blobdiff