279 references to OnnxCSharpToProtoWrapper
Microsoft.ML.OnnxTransformer (279)
OnnxTransform.cs (1)
18
using static Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
;
OnnxTypeParser.cs (45)
23
/// This function is used when determining the corresponding <see cref="Type"/> of <see cref="
OnnxCSharpToProtoWrapper
.TypeProto"/>.
28
var dataType = (
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType)elementType;
32
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Bool:
35
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Int8:
38
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Uint8:
41
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Int16:
44
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Uint16:
47
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Int32:
50
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Uint32:
53
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Int64:
56
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Uint64:
59
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Double:
62
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Float:
65
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.String:
79
public static Type GetNativeType(
OnnxCSharpToProtoWrapper
.TypeProto typeProto)
81
if (typeProto.ValueCase ==
OnnxCSharpToProtoWrapper
.TypeProto.ValueOneofCase.TensorType)
94
else if (typeProto.ValueCase ==
OnnxCSharpToProtoWrapper
.TypeProto.ValueOneofCase.SequenceType)
100
else if (typeProto.ValueCase ==
OnnxCSharpToProtoWrapper
.TypeProto.ValueOneofCase.MapType)
116
var dataType = (
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType)elementType;
120
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Bool:
123
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Int8:
126
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Uint8:
129
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Int16:
132
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Uint16:
135
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Int32:
138
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Uint32:
141
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Int64:
144
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Uint64:
147
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Float:
150
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.Double:
153
case
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType.String:
166
public static int GetDimValue(
OnnxCSharpToProtoWrapper
.TensorShapeProto.Types.Dimension dim)
171
case
OnnxCSharpToProtoWrapper
.TensorShapeProto.Types.Dimension.ValueOneofCase.DimValue:
178
case
OnnxCSharpToProtoWrapper
.TensorShapeProto.Types.Dimension.ValueOneofCase.DimParam:
181
case
OnnxCSharpToProtoWrapper
.TensorShapeProto.Types.Dimension.ValueOneofCase.None:
192
public static IEnumerable<int> GetTensorDims(Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorShapeProto tensorShapeProto)
222
public static DataViewType GetDataViewType(
OnnxCSharpToProtoWrapper
.TypeProto typeProto)
225
if (typeProto.ValueCase ==
OnnxCSharpToProtoWrapper
.TypeProto.ValueOneofCase.TensorType)
245
else if (typeProto.ValueCase ==
OnnxCSharpToProtoWrapper
.TypeProto.ValueOneofCase.SequenceType)
251
else if (typeProto.ValueCase ==
OnnxCSharpToProtoWrapper
.TypeProto.ValueOneofCase.MapType)
262
/// Class which store casting functions used in <see cref="GetDataViewValueCasterAndResultedType(
OnnxCSharpToProtoWrapper
.TypeProto, out Type)"/>.
287
public static Func<NamedOnnxValue, object> GetDataViewValueCasterAndResultedType(
OnnxCSharpToProtoWrapper
.TypeProto typeProto, out Type resultedType)
290
if (typeProto.ValueCase ==
OnnxCSharpToProtoWrapper
.TypeProto.ValueOneofCase.TensorType)
332
else if (typeProto.ValueCase ==
OnnxCSharpToProtoWrapper
.TypeProto.ValueOneofCase.SequenceType)
359
else if (typeProto.ValueCase ==
OnnxCSharpToProtoWrapper
.TypeProto.ValueOneofCase.MapType)
OnnxUtils.cs (3)
15
using static Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
;
249
var model = new
OnnxCSharpToProtoWrapper
.ModelProto();
259
model =
OnnxCSharpToProtoWrapper
.ModelProto.Parser.ParseFrom(codedStream);
src\Microsoft.ML.OnnxConverter\OnnxMl.cs (230)
112
new pbr::GeneratedClrTypeInfo(new[] { typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.Version), }, null, new pbr::GeneratedClrTypeInfo[] {
113
new pbr::GeneratedClrTypeInfo(typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.AttributeProto), global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.AttributeProto.Parser, new[]{ "Name", "RefAttrName", "DocString", "Type", "F", "I", "S", "T", "G", "SparseTensor", "Floats", "Ints", "Strings", "Tensors", "Graphs", "SparseTensors" }, null, new[]{ typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.AttributeProto.Types.AttributeType) }, null, null),
114
new pbr::GeneratedClrTypeInfo(typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.ValueInfoProto), global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.ValueInfoProto.Parser, new[]{ "Name", "Type", "DocString" }, null, null, null, null),
115
new pbr::GeneratedClrTypeInfo(typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.NodeProto), global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.NodeProto.Parser, new[]{ "Input", "Output", "Name", "OpType", "Domain", "Attribute", "DocString" }, null, null, null, null),
116
new pbr::GeneratedClrTypeInfo(typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.ModelProto), global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.ModelProto.Parser, new[]{ "IrVersion", "OpsetImport", "ProducerName", "ProducerVersion", "Domain", "ModelVersion", "DocString", "Graph", "MetadataProps" }, null, null, null, null),
117
new pbr::GeneratedClrTypeInfo(typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.StringStringEntryProto), global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.StringStringEntryProto.Parser, new[]{ "Key", "Value" }, null, null, null, null),
118
new pbr::GeneratedClrTypeInfo(typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorAnnotation), global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorAnnotation.Parser, new[]{ "TensorName", "QuantParameterTensorNames" }, null, null, null, null),
119
new pbr::GeneratedClrTypeInfo(typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.GraphProto), global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.GraphProto.Parser, new[]{ "Node", "Name", "Initializer", "SparseInitializer", "DocString", "Input", "Output", "ValueInfo", "QuantizationAnnotation" }, null, null, null, null),
120
new pbr::GeneratedClrTypeInfo(typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto), global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto.Parser, new[]{ "Dims", "DataType", "Segment", "FloatData", "Int32Data", "StringData", "Int64Data", "Name", "DocString", "RawData", "ExternalData", "DataLocation", "DoubleData", "Uint64Data" }, null, new[]{ typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataType), typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataLocation) }, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto.Types.Segment), global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto.Types.Segment.Parser, new[]{ "Begin", "End" }, null, null, null, null)}),
121
new pbr::GeneratedClrTypeInfo(typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.SparseTensorProto), global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.SparseTensorProto.Parser, new[]{ "Values", "Indices", "Dims" }, null, null, null, null),
122
new pbr::GeneratedClrTypeInfo(typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorShapeProto), global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorShapeProto.Parser, new[]{ "Dim" }, null, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorShapeProto.Types.Dimension), global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorShapeProto.Types.Dimension.Parser, new[]{ "DimValue", "DimParam", "Denotation" }, new[]{ "Value" }, null, null, null)}),
123
new pbr::GeneratedClrTypeInfo(typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto), global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Parser, new[]{ "TensorType", "SequenceType", "MapType", "SparseTensorType", "OpaqueType", "Denotation" }, new[]{ "Value" }, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Tensor), global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Tensor.Parser, new[]{ "ElemType", "Shape" }, null, null, null, null),
124
new pbr::GeneratedClrTypeInfo(typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Sequence), global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Sequence.Parser, new[]{ "ElemType" }, null, null, null, null),
125
new pbr::GeneratedClrTypeInfo(typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Map), global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Map.Parser, new[]{ "KeyType", "ValueType" }, null, null, null, null),
126
new pbr::GeneratedClrTypeInfo(typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.SparseTensor), global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.SparseTensor.Parser, new[]{ "ElemType", "Shape" }, null, null, null, null),
127
new pbr::GeneratedClrTypeInfo(typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Opaque), global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Opaque.Parser, new[]{ "Domain", "Name" }, null, null, null, null)}),
128
new pbr::GeneratedClrTypeInfo(typeof(global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.OperatorSetIdProto), global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.OperatorSetIdProto.Parser, new[]{ "Domain", "Version" }, null, null, null, null)
213
get { return global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.OnnxMlReflection.Descriptor.MessageTypes[0]; }
311
private global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.AttributeProto.Types.AttributeType type_ = global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.AttributeProto.Types.AttributeType.Undefined;
321
public global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.AttributeProto.Types.AttributeType Type
380
private global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto t_;
385
public global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto T
396
private global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.GraphProto g_;
401
public global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.GraphProto G
412
private global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.SparseTensorProto sparseTensor_;
417
public global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.SparseTensorProto SparseTensor
470
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto> _repeated_tensors_codec
471
= pb::FieldCodec.ForMessage(82, global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto.Parser);
472
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto> tensors_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto>();
477
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto> Tensors
484
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.GraphProto> _repeated_graphs_codec
485
= pb::FieldCodec.ForMessage(90, global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.GraphProto.Parser);
486
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.GraphProto> graphs_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.GraphProto>();
491
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.GraphProto> Graphs
498
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.SparseTensorProto> _repeated_sparseTensors_codec
499
= pb::FieldCodec.ForMessage(186, global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.SparseTensorProto.Parser);
500
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.SparseTensorProto> sparseTensors_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.SparseTensorProto>();
505
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.SparseTensorProto> SparseTensors
553
if (Type != global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.AttributeProto.Types.AttributeType.Undefined) hash ^= Type.GetHashCode();
622
if (Type != global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.AttributeProto.Types.AttributeType.Undefined)
660
if (Type != global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.AttributeProto.Types.AttributeType.Undefined)
720
if (other.Type != global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.AttributeProto.Types.AttributeType.Undefined)
740
T = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto();
748
G = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.GraphProto();
756
SparseTensor = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.SparseTensorProto();
804
T = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto();
813
G = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.GraphProto();
852
Type = (global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.AttributeProto.Types.AttributeType)input.ReadEnum();
864
SparseTensor = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.SparseTensorProto();
923
get { return global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.OnnxMlReflection.Descriptor.MessageTypes[1]; }
973
private global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto type_;
979
public global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto Type
1109
Type = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto();
1140
Type = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto();
1175
get { return global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.OnnxMlReflection.Descriptor.MessageTypes[2]; }
1290
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.AttributeProto> _repeated_attribute_codec
1291
= pb::FieldCodec.ForMessage(42, global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.AttributeProto.Parser);
1292
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.AttributeProto> attribute_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.AttributeProto>();
1297
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.AttributeProto> Attribute
1530
get { return global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.OnnxMlReflection.Descriptor.MessageTypes[3]; }
1587
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.OperatorSetIdProto> _repeated_opsetImport_codec
1588
= pb::FieldCodec.ForMessage(66, global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.OperatorSetIdProto.Parser);
1589
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.OperatorSetIdProto> opsetImport_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.OperatorSetIdProto>();
1601
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.OperatorSetIdProto> OpsetImport
1697
private global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.GraphProto graph_;
1702
public global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.GraphProto Graph
1713
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.StringStringEntryProto> _repeated_metadataProps_codec
1714
= pb::FieldCodec.ForMessage(114, global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.StringStringEntryProto.Parser);
1715
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.StringStringEntryProto> metadataProps_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.StringStringEntryProto>();
1720
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.StringStringEntryProto> MetadataProps
1903
Graph = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.GraphProto();
1956
Graph = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.GraphProto();
1991
get { return global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.OnnxMlReflection.Descriptor.MessageTypes[4]; }
2182
get { return global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.OnnxMlReflection.Descriptor.MessageTypes[5]; }
2228
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.StringStringEntryProto> _repeated_quantParameterTensorNames_codec
2229
= pb::FieldCodec.ForMessage(18, global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.StringStringEntryProto.Parser);
2230
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.StringStringEntryProto> quantParameterTensorNames_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.StringStringEntryProto>();
2238
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.StringStringEntryProto> QuantParameterTensorNames
2375
get { return global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.OnnxMlReflection.Descriptor.MessageTypes[6]; }
2415
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.NodeProto> _repeated_node_codec
2416
= pb::FieldCodec.ForMessage(10, global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.NodeProto.Parser);
2417
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.NodeProto> node_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.NodeProto>();
2422
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.NodeProto> Node
2445
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto> _repeated_initializer_codec
2446
= pb::FieldCodec.ForMessage(42, global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto.Parser);
2447
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto> initializer_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto>();
2454
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto> Initializer
2461
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.SparseTensorProto> _repeated_sparseInitializer_codec
2462
= pb::FieldCodec.ForMessage(122, global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.SparseTensorProto.Parser);
2463
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.SparseTensorProto> sparseInitializer_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.SparseTensorProto>();
2468
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.SparseTensorProto> SparseInitializer
2491
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.ValueInfoProto> _repeated_input_codec
2492
= pb::FieldCodec.ForMessage(90, global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.ValueInfoProto.Parser);
2493
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.ValueInfoProto> input_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.ValueInfoProto>();
2498
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.ValueInfoProto> Input
2505
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.ValueInfoProto> _repeated_output_codec
2506
= pb::FieldCodec.ForMessage(98, global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.ValueInfoProto.Parser);
2507
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.ValueInfoProto> output_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.ValueInfoProto>();
2509
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.ValueInfoProto> Output
2516
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.ValueInfoProto> _repeated_valueInfo_codec
2517
= pb::FieldCodec.ForMessage(106, global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.ValueInfoProto.Parser);
2518
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.ValueInfoProto> valueInfo_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.ValueInfoProto>();
2524
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.ValueInfoProto> ValueInfo
2531
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorAnnotation> _repeated_quantizationAnnotation_codec
2532
= pb::FieldCodec.ForMessage(114, global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorAnnotation.Parser);
2533
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorAnnotation> quantizationAnnotation_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorAnnotation>();
2541
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorAnnotation> QuantizationAnnotation
2755
get { return global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.OnnxMlReflection.Descriptor.MessageTypes[7]; }
2831
private global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto.Types.Segment segment_;
2833
public global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto.Types.Segment Segment
2977
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.StringStringEntryProto> _repeated_externalData_codec
2978
= pb::FieldCodec.ForMessage(106, global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.StringStringEntryProto.Parser);
2979
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.StringStringEntryProto> externalData_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.StringStringEntryProto>();
2992
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.StringStringEntryProto> ExternalData
2999
private global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataLocation dataLocation_ = global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataLocation.Default;
3004
public global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataLocation DataLocation
3098
if (DataLocation != global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataLocation.Default) hash ^= DataLocation.GetHashCode();
3150
if (DataLocation != global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataLocation.Default)
3191
if (DataLocation != global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataLocation.Default)
3220
Segment = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto.Types.Segment();
3241
if (other.DataLocation != global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataLocation.Default)
3276
Segment = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto.Types.Segment();
3338
DataLocation = (global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto.Types.DataLocation)input.ReadEnum();
3439
get { return global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto.Descriptor.NestedTypes[0]; }
3638
get { return global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.OnnxMlReflection.Descriptor.MessageTypes[8]; }
3672
private global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto values_;
3678
public global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto Values
3689
private global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto indices_;
3703
public global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto Indices
3820
Values = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto();
3828
Indices = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto();
3851
Values = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto();
3860
Indices = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorProto();
3892
get { return global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.OnnxMlReflection.Descriptor.MessageTypes[9]; }
3924
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorShapeProto.Types.Dimension> _repeated_dim_codec
3925
= pb::FieldCodec.ForMessage(10, global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorShapeProto.Types.Dimension.Parser);
3926
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorShapeProto.Types.Dimension> dim_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorShapeProto.Types.Dimension>();
3928
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorShapeProto.Types.Dimension> Dim
4040
get { return global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorShapeProto.Descriptor.NestedTypes[0]; }
4319
get { return global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.OnnxMlReflection.Descriptor.MessageTypes[10]; }
4374
public global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Tensor TensorType
4376
get { return valueCase_ == ValueOneofCase.TensorType ? (global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Tensor)value_ : null; }
4390
public global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Sequence SequenceType
4392
get { return valueCase_ == ValueOneofCase.SequenceType ? (global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Sequence)value_ : null; }
4406
public global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Map MapType
4408
get { return valueCase_ == ValueOneofCase.MapType ? (global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Map)value_ : null; }
4419
public global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.SparseTensor SparseTensorType
4421
get { return valueCase_ == ValueOneofCase.SparseTensorType ? (global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.SparseTensor)value_ : null; }
4432
public global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Opaque OpaqueType
4434
get { return valueCase_ == ValueOneofCase.OpaqueType ? (global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Opaque)value_ : null; }
4627
TensorType = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Tensor();
4634
SequenceType = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Sequence();
4641
MapType = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Map();
4648
SparseTensorType = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.SparseTensor();
4655
OpaqueType = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Opaque();
4677
global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Tensor subBuilder = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Tensor();
4688
global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Sequence subBuilder = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Sequence();
4699
global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Map subBuilder = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Map();
4715
global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Opaque subBuilder = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.Opaque();
4726
global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.SparseTensor subBuilder = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Types.SparseTensor();
4754
get { return global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Descriptor.NestedTypes[0]; }
4805
private global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorShapeProto shape_;
4807
public global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorShapeProto Shape
4910
Shape = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorShapeProto();
4937
Shape = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorShapeProto();
4961
get { return global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Descriptor.NestedTypes[1]; }
4993
private global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto elemType_;
4999
public global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto ElemType
5087
ElemType = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto();
5109
ElemType = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto();
5133
get { return global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Descriptor.NestedTypes[2]; }
5184
private global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto valueType_;
5189
public global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto ValueType
5292
ValueType = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto();
5319
ValueType = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto();
5340
get { return global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Descriptor.NestedTypes[3]; }
5391
private global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorShapeProto shape_;
5393
public global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorShapeProto Shape
5496
Shape = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorShapeProto();
5523
Shape = new global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TensorShapeProto();
5544
get { return global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.TypeProto.Descriptor.NestedTypes[4]; }
5751
get { return global::Microsoft.ML.Model.OnnxConverter.
OnnxCSharpToProtoWrapper
.OnnxMlReflection.Descriptor.MessageTypes[11]; }