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// <auto-generated>
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: onnx-ml.proto3
// </auto-generated>
#pragma warning disable 1591, 0612, 3021
#region Designer generated code
using pb = global::Google.Protobuf;
using pbc = global::Google.Protobuf.Collections;
using pbr = global::Google.Protobuf.Reflection;
using scg = global::System.Collections.Generic;
namespace Microsoft.ML.Model.OnnxConverter
{
internal class OnnxCSharpToProtoWrapper
{
/// <summary>Holder for reflection information generated from onnx-ml.proto3</summary>
public static partial class OnnxMlReflection
{
#region Descriptor
/// <summary>File descriptor for onnx-ml.proto3</summary>
public static pbr::FileDescriptor Descriptor
{
get { return descriptor; }
}
private static pbr::FileDescriptor descriptor;
static OnnxMlReflection()
{
byte[] descriptorData = global::System.Convert.FromBase64String(
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descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
new pbr::FileDescriptor[] { },
new pbr::GeneratedClrTypeInfo(new[] { typeof(global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.Version), }, null, new pbr::GeneratedClrTypeInfo[] {
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),
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),
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),
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),
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),
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),
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),
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)}),
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),
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)}),
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),
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),
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),
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),
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)}),
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)
}));
}
#endregion
}
#region Enums
/// <summary>
/// Versioning
///
/// ONNX versioning is specified in docs/IR.md and elaborated on in docs/Versioning.md
///
/// To be compatible with both proto2 and proto3, we will use a version number
/// that is not defined by the default value but an explicit enum number.
/// </summary>
public enum Version
{
/// <summary>
/// proto3 requires the first enum value to be zero.
/// We add this just to appease the compiler.
/// </summary>
[pbr::OriginalName("_START_VERSION")] StartVersion = 0,
/// <summary>
/// The version field is always serialized and we will use it to store the
/// version that the graph is generated from. This helps us set up version
/// control.
/// For the IR, we are using simple numbers starting with with 0x00000001,
/// which was the version we published on Oct 10, 2017.
/// </summary>
[pbr::OriginalName("IR_VERSION_2017_10_10")] IrVersion20171010 = 1,
/// <summary>
/// IR_VERSION 2 published on Oct 30, 2017
/// - Added type discriminator to AttributeProto to support proto3 users
/// </summary>
[pbr::OriginalName("IR_VERSION_2017_10_30")] IrVersion20171030 = 2,
/// <summary>
/// IR VERSION 3 published on Nov 3, 2017
/// - For operator versioning:
/// - Added new message OperatorSetIdProto
/// - Added opset_import in ModelProto
/// - For vendor extensions, added domain in NodeProto
/// </summary>
[pbr::OriginalName("IR_VERSION_2017_11_3")] IrVersion2017113 = 3,
/// <summary>
/// IR VERSION 4 published on Jan 22, 2019
/// - Relax constraint that initializers should be a subset of graph inputs
/// - Add type BFLOAT16
/// </summary>
[pbr::OriginalName("IR_VERSION_2019_1_22")] IrVersion2019122 = 4,
/// <summary>
/// IR VERSION 5 published on March 18, 2019
/// - Add message TensorAnnotation.
/// - Add quantization annotation in GraphProto to map tensor with its scale and zero point quantization parameters.
/// </summary>
[pbr::OriginalName("IR_VERSION_2019_3_18")] IrVersion2019318 = 5,
/// <summary>
/// IR VERSION 6 published on Sep 19, 2019
/// - Add support for sparse tensor constants stored in model.
/// - Add message SparseTensorProto
/// - Add sparse initializers
/// </summary>
[pbr::OriginalName("IR_VERSION")] IrVersion = 6,
}
#endregion
#region Messages
/// <summary>
/// Attributes
///
/// A named attribute containing either singular float, integer, string, graph,
/// and tensor values, or repeated float, integer, string, graph, and tensor values.
/// An AttributeProto MUST contain the name field, and *only one* of the
/// following content fields, effectively enforcing a C/C++ union equivalent.
/// </summary>
public sealed partial class AttributeProto : pb::IMessage<AttributeProto>
{
private static readonly pb::MessageParser<AttributeProto> _parser = new pb::MessageParser<AttributeProto>(() => new AttributeProto());
private pb::UnknownFieldSet _unknownFields;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pb::MessageParser<AttributeProto> Parser { get { return _parser; } }
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pbr::MessageDescriptor Descriptor
{
get { return global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.OnnxMlReflection.Descriptor.MessageTypes[0]; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
pbr::MessageDescriptor pb::IMessage.Descriptor
{
get { return Descriptor; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public AttributeProto()
{
OnConstruction();
}
partial void OnConstruction();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public AttributeProto(AttributeProto other) : this()
{
name_ = other.name_;
refAttrName_ = other.refAttrName_;
docString_ = other.docString_;
type_ = other.type_;
f_ = other.f_;
i_ = other.i_;
s_ = other.s_;
t_ = other.t_ != null ? other.t_.Clone() : null;
g_ = other.g_ != null ? other.g_.Clone() : null;
sparseTensor_ = other.sparseTensor_ != null ? other.sparseTensor_.Clone() : null;
floats_ = other.floats_.Clone();
ints_ = other.ints_.Clone();
strings_ = other.strings_.Clone();
tensors_ = other.tensors_.Clone();
graphs_ = other.graphs_.Clone();
sparseTensors_ = other.sparseTensors_.Clone();
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public AttributeProto Clone()
{
return new AttributeProto(this);
}
/// <summary>Field number for the "name" field.</summary>
public const int NameFieldNumber = 1;
private string name_ = "";
/// <summary>
/// The name field MUST be present for this version of the IR.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string Name
{
get { return name_; }
set
{
name_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "ref_attr_name" field.</summary>
public const int RefAttrNameFieldNumber = 21;
private string refAttrName_ = "";
/// <summary>
/// if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.
/// In this case, this AttributeProto does not contain data, and it's a reference of attribute
/// in parent scope.
/// NOTE: This should ONLY be used in function (sub-graph). It's invalid to be used in main graph.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string RefAttrName
{
get { return refAttrName_; }
set
{
refAttrName_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "doc_string" field.</summary>
public const int DocStringFieldNumber = 13;
private string docString_ = "";
/// <summary>
/// A human-readable documentation for this attribute. Markdown is allowed.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string DocString
{
get { return docString_; }
set
{
docString_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "type" field.</summary>
public const int TypeFieldNumber = 20;
private global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.AttributeProto.Types.AttributeType type_ = global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.AttributeProto.Types.AttributeType.Undefined;
/// <summary>
/// The type field MUST be present for this version of the IR.
/// For 0.0.1 versions of the IR, this field was not defined, and
/// implementations needed to use has_field hueristics to determine
/// which value field was in use. For IR_VERSION 0.0.2 or later, this
/// field MUST be set and match the f|i|s|t|... field in use. This
/// change was made to accommodate proto3 implementations.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.AttributeProto.Types.AttributeType Type
{
get { return type_; }
set
{
type_ = value;
}
}
/// <summary>Field number for the "f" field.</summary>
public const int FFieldNumber = 2;
private float f_;
/// <summary>
/// Exactly ONE of the following fields must be present for this version of the IR
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public float F
{
get { return f_; }
set
{
f_ = value;
}
}
/// <summary>Field number for the "i" field.</summary>
public const int IFieldNumber = 3;
private long i_;
/// <summary>
/// int
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public long I
{
get { return i_; }
set
{
i_ = value;
}
}
/// <summary>Field number for the "s" field.</summary>
public const int SFieldNumber = 4;
private pb::ByteString s_ = pb::ByteString.Empty;
/// <summary>
/// UTF-8 string
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pb::ByteString S
{
get { return s_; }
set
{
s_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "t" field.</summary>
public const int TFieldNumber = 5;
private global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto t_;
/// <summary>
/// tensor value
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto T
{
get { return t_; }
set
{
t_ = value;
}
}
/// <summary>Field number for the "g" field.</summary>
public const int GFieldNumber = 6;
private global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.GraphProto g_;
/// <summary>
/// graph
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.GraphProto G
{
get { return g_; }
set
{
g_ = value;
}
}
/// <summary>Field number for the "sparse_tensor" field.</summary>
public const int SparseTensorFieldNumber = 22;
private global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.SparseTensorProto sparseTensor_;
/// <summary>
/// sparse tensor value
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.SparseTensorProto SparseTensor
{
get { return sparseTensor_; }
set
{
sparseTensor_ = value;
}
}
/// <summary>Field number for the "floats" field.</summary>
public const int FloatsFieldNumber = 7;
private static readonly pb::FieldCodec<float> _repeated_floats_codec
= pb::FieldCodec.ForFloat(58);
private readonly pbc::RepeatedField<float> floats_ = new pbc::RepeatedField<float>();
/// <summary>
/// list of floats
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<float> Floats
{
get { return floats_; }
}
/// <summary>Field number for the "ints" field.</summary>
public const int IntsFieldNumber = 8;
private static readonly pb::FieldCodec<long> _repeated_ints_codec
= pb::FieldCodec.ForInt64(66);
private readonly pbc::RepeatedField<long> ints_ = new pbc::RepeatedField<long>();
/// <summary>
/// list of ints
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<long> Ints
{
get { return ints_; }
}
/// <summary>Field number for the "strings" field.</summary>
public const int StringsFieldNumber = 9;
private static readonly pb::FieldCodec<pb::ByteString> _repeated_strings_codec
= pb::FieldCodec.ForBytes(74);
private readonly pbc::RepeatedField<pb::ByteString> strings_ = new pbc::RepeatedField<pb::ByteString>();
/// <summary>
/// list of UTF-8 strings
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<pb::ByteString> Strings
{
get { return strings_; }
}
/// <summary>Field number for the "tensors" field.</summary>
public const int TensorsFieldNumber = 10;
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto> _repeated_tensors_codec
= pb::FieldCodec.ForMessage(82, global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto.Parser);
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto> tensors_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto>();
/// <summary>
/// list of tensors
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto> Tensors
{
get { return tensors_; }
}
/// <summary>Field number for the "graphs" field.</summary>
public const int GraphsFieldNumber = 11;
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.GraphProto> _repeated_graphs_codec
= pb::FieldCodec.ForMessage(90, global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.GraphProto.Parser);
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.GraphProto> graphs_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.GraphProto>();
/// <summary>
/// list of graph
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.GraphProto> Graphs
{
get { return graphs_; }
}
/// <summary>Field number for the "sparse_tensors" field.</summary>
public const int SparseTensorsFieldNumber = 23;
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.SparseTensorProto> _repeated_sparseTensors_codec
= pb::FieldCodec.ForMessage(186, global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.SparseTensorProto.Parser);
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.SparseTensorProto> sparseTensors_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.SparseTensorProto>();
/// <summary>
/// list of sparse tensors
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.SparseTensorProto> SparseTensors
{
get { return sparseTensors_; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override bool Equals(object other)
{
return Equals(other as AttributeProto);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool Equals(AttributeProto other)
{
if (ReferenceEquals(other, null))
{
return false;
}
if (ReferenceEquals(other, this))
{
return true;
}
if (Name != other.Name) return false;
if (RefAttrName != other.RefAttrName) return false;
if (DocString != other.DocString) return false;
if (Type != other.Type) return false;
if (!pbc::ProtobufEqualityComparers.BitwiseSingleEqualityComparer.Equals(F, other.F)) return false;
if (I != other.I) return false;
if (S != other.S) return false;
if (!object.Equals(T, other.T)) return false;
if (!object.Equals(G, other.G)) return false;
if (!object.Equals(SparseTensor, other.SparseTensor)) return false;
if (!floats_.Equals(other.floats_)) return false;
if (!ints_.Equals(other.ints_)) return false;
if (!strings_.Equals(other.strings_)) return false;
if (!tensors_.Equals(other.tensors_)) return false;
if (!graphs_.Equals(other.graphs_)) return false;
if (!sparseTensors_.Equals(other.sparseTensors_)) return false;
return Equals(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override int GetHashCode()
{
int hash = 1;
if (Name.Length != 0) hash ^= Name.GetHashCode();
if (RefAttrName.Length != 0) hash ^= RefAttrName.GetHashCode();
if (DocString.Length != 0) hash ^= DocString.GetHashCode();
if (Type != global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.AttributeProto.Types.AttributeType.Undefined) hash ^= Type.GetHashCode();
if (F != 0F) hash ^= pbc::ProtobufEqualityComparers.BitwiseSingleEqualityComparer.GetHashCode(F);
if (I != 0L) hash ^= I.GetHashCode();
if (S.Length != 0) hash ^= S.GetHashCode();
if (t_ != null) hash ^= T.GetHashCode();
if (g_ != null) hash ^= G.GetHashCode();
if (sparseTensor_ != null) hash ^= SparseTensor.GetHashCode();
hash ^= floats_.GetHashCode();
hash ^= ints_.GetHashCode();
hash ^= strings_.GetHashCode();
hash ^= tensors_.GetHashCode();
hash ^= graphs_.GetHashCode();
hash ^= sparseTensors_.GetHashCode();
if (_unknownFields != null)
{
hash ^= _unknownFields.GetHashCode();
}
return hash;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override string ToString()
{
return pb::JsonFormatter.ToDiagnosticString(this);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void WriteTo(pb::CodedOutputStream output)
{
if (Name.Length != 0)
{
output.WriteRawTag(10);
output.WriteString(Name);
}
if (F != 0F)
{
output.WriteRawTag(21);
output.WriteFloat(F);
}
if (I != 0L)
{
output.WriteRawTag(24);
output.WriteInt64(I);
}
if (S.Length != 0)
{
output.WriteRawTag(34);
output.WriteBytes(S);
}
if (t_ != null)
{
output.WriteRawTag(42);
output.WriteMessage(T);
}
if (g_ != null)
{
output.WriteRawTag(50);
output.WriteMessage(G);
}
floats_.WriteTo(output, _repeated_floats_codec);
ints_.WriteTo(output, _repeated_ints_codec);
strings_.WriteTo(output, _repeated_strings_codec);
tensors_.WriteTo(output, _repeated_tensors_codec);
graphs_.WriteTo(output, _repeated_graphs_codec);
if (DocString.Length != 0)
{
output.WriteRawTag(106);
output.WriteString(DocString);
}
if (Type != global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.AttributeProto.Types.AttributeType.Undefined)
{
output.WriteRawTag(160, 1);
output.WriteEnum((int)Type);
}
if (RefAttrName.Length != 0)
{
output.WriteRawTag(170, 1);
output.WriteString(RefAttrName);
}
if (sparseTensor_ != null)
{
output.WriteRawTag(178, 1);
output.WriteMessage(SparseTensor);
}
sparseTensors_.WriteTo(output, _repeated_sparseTensors_codec);
if (_unknownFields != null)
{
_unknownFields.WriteTo(output);
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int CalculateSize()
{
int size = 0;
if (Name.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(Name);
}
if (RefAttrName.Length != 0)
{
size += 2 + pb::CodedOutputStream.ComputeStringSize(RefAttrName);
}
if (DocString.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(DocString);
}
if (Type != global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.AttributeProto.Types.AttributeType.Undefined)
{
size += 2 + pb::CodedOutputStream.ComputeEnumSize((int)Type);
}
if (F != 0F)
{
size += 1 + 4;
}
if (I != 0L)
{
size += 1 + pb::CodedOutputStream.ComputeInt64Size(I);
}
if (S.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeBytesSize(S);
}
if (t_ != null)
{
size += 1 + pb::CodedOutputStream.ComputeMessageSize(T);
}
if (g_ != null)
{
size += 1 + pb::CodedOutputStream.ComputeMessageSize(G);
}
if (sparseTensor_ != null)
{
size += 2 + pb::CodedOutputStream.ComputeMessageSize(SparseTensor);
}
size += floats_.CalculateSize(_repeated_floats_codec);
size += ints_.CalculateSize(_repeated_ints_codec);
size += strings_.CalculateSize(_repeated_strings_codec);
size += tensors_.CalculateSize(_repeated_tensors_codec);
size += graphs_.CalculateSize(_repeated_graphs_codec);
size += sparseTensors_.CalculateSize(_repeated_sparseTensors_codec);
if (_unknownFields != null)
{
size += _unknownFields.CalculateSize();
}
return size;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(AttributeProto other)
{
if (other == null)
{
return;
}
if (other.Name.Length != 0)
{
Name = other.Name;
}
if (other.RefAttrName.Length != 0)
{
RefAttrName = other.RefAttrName;
}
if (other.DocString.Length != 0)
{
DocString = other.DocString;
}
if (other.Type != global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.AttributeProto.Types.AttributeType.Undefined)
{
Type = other.Type;
}
if (other.F != 0F)
{
F = other.F;
}
if (other.I != 0L)
{
I = other.I;
}
if (other.S.Length != 0)
{
S = other.S;
}
if (other.t_ != null)
{
if (t_ == null)
{
T = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto();
}
T.MergeFrom(other.T);
}
if (other.g_ != null)
{
if (g_ == null)
{
G = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.GraphProto();
}
G.MergeFrom(other.G);
}
if (other.sparseTensor_ != null)
{
if (sparseTensor_ == null)
{
SparseTensor = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.SparseTensorProto();
}
SparseTensor.MergeFrom(other.SparseTensor);
}
floats_.Add(other.floats_);
ints_.Add(other.ints_);
strings_.Add(other.strings_);
tensors_.Add(other.tensors_);
graphs_.Add(other.graphs_);
sparseTensors_.Add(other.sparseTensors_);
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 10:
{
Name = input.ReadString();
break;
}
case 21:
{
F = input.ReadFloat();
break;
}
case 24:
{
I = input.ReadInt64();
break;
}
case 34:
{
S = input.ReadBytes();
break;
}
case 42:
{
if (t_ == null)
{
T = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto();
}
input.ReadMessage(T);
break;
}
case 50:
{
if (g_ == null)
{
G = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.GraphProto();
}
input.ReadMessage(G);
break;
}
case 58:
case 61:
{
floats_.AddEntriesFrom(input, _repeated_floats_codec);
break;
}
case 66:
case 64:
{
ints_.AddEntriesFrom(input, _repeated_ints_codec);
break;
}
case 74:
{
strings_.AddEntriesFrom(input, _repeated_strings_codec);
break;
}
case 82:
{
tensors_.AddEntriesFrom(input, _repeated_tensors_codec);
break;
}
case 90:
{
graphs_.AddEntriesFrom(input, _repeated_graphs_codec);
break;
}
case 106:
{
DocString = input.ReadString();
break;
}
case 160:
{
Type = (global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.AttributeProto.Types.AttributeType)input.ReadEnum();
break;
}
case 170:
{
RefAttrName = input.ReadString();
break;
}
case 178:
{
if (sparseTensor_ == null)
{
SparseTensor = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.SparseTensorProto();
}
input.ReadMessage(SparseTensor);
break;
}
case 186:
{
sparseTensors_.AddEntriesFrom(input, _repeated_sparseTensors_codec);
break;
}
}
}
}
#region Nested types
/// <summary>Container for nested types declared in the AttributeProto message type.</summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static partial class Types
{
/// <summary>
/// Note: this enum is structurally identical to the OpSchema::AttrType
/// enum defined in schema.h. If you rev one, you likely need to rev the other.
/// </summary>
public enum AttributeType
{
[pbr::OriginalName("UNDEFINED")] Undefined = 0,
[pbr::OriginalName("FLOAT")] Float = 1,
[pbr::OriginalName("INT")] Int = 2,
[pbr::OriginalName("STRING")] String = 3,
[pbr::OriginalName("TENSOR")] Tensor = 4,
[pbr::OriginalName("GRAPH")] Graph = 5,
[pbr::OriginalName("SPARSE_TENSOR")] SparseTensor = 11,
[pbr::OriginalName("FLOATS")] Floats = 6,
[pbr::OriginalName("INTS")] Ints = 7,
[pbr::OriginalName("STRINGS")] Strings = 8,
[pbr::OriginalName("TENSORS")] Tensors = 9,
[pbr::OriginalName("GRAPHS")] Graphs = 10,
[pbr::OriginalName("SPARSE_TENSORS")] SparseTensors = 12,
}
}
#endregion
}
/// <summary>
/// Defines information on value, including the name, the type, and
/// the shape of the value.
/// </summary>
public sealed partial class ValueInfoProto : pb::IMessage<ValueInfoProto>
{
private static readonly pb::MessageParser<ValueInfoProto> _parser = new pb::MessageParser<ValueInfoProto>(() => new ValueInfoProto());
private pb::UnknownFieldSet _unknownFields;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pb::MessageParser<ValueInfoProto> Parser { get { return _parser; } }
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pbr::MessageDescriptor Descriptor
{
get { return global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.OnnxMlReflection.Descriptor.MessageTypes[1]; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
pbr::MessageDescriptor pb::IMessage.Descriptor
{
get { return Descriptor; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public ValueInfoProto()
{
OnConstruction();
}
partial void OnConstruction();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public ValueInfoProto(ValueInfoProto other) : this()
{
name_ = other.name_;
type_ = other.type_ != null ? other.type_.Clone() : null;
docString_ = other.docString_;
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public ValueInfoProto Clone()
{
return new ValueInfoProto(this);
}
/// <summary>Field number for the "name" field.</summary>
public const int NameFieldNumber = 1;
private string name_ = "";
/// <summary>
/// This field MUST be present in this version of the IR.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string Name
{
get { return name_; }
set
{
name_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "type" field.</summary>
public const int TypeFieldNumber = 2;
private global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto type_;
/// <summary>
/// This field MUST be present in this version of the IR for
/// inputs and outputs of the top-level graph.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto Type
{
get { return type_; }
set
{
type_ = value;
}
}
/// <summary>Field number for the "doc_string" field.</summary>
public const int DocStringFieldNumber = 3;
private string docString_ = "";
/// <summary>
/// A human-readable documentation for this value. Markdown is allowed.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string DocString
{
get { return docString_; }
set
{
docString_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override bool Equals(object other)
{
return Equals(other as ValueInfoProto);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool Equals(ValueInfoProto other)
{
if (ReferenceEquals(other, null))
{
return false;
}
if (ReferenceEquals(other, this))
{
return true;
}
if (Name != other.Name) return false;
if (!object.Equals(Type, other.Type)) return false;
if (DocString != other.DocString) return false;
return Equals(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override int GetHashCode()
{
int hash = 1;
if (Name.Length != 0) hash ^= Name.GetHashCode();
if (type_ != null) hash ^= Type.GetHashCode();
if (DocString.Length != 0) hash ^= DocString.GetHashCode();
if (_unknownFields != null)
{
hash ^= _unknownFields.GetHashCode();
}
return hash;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override string ToString()
{
return pb::JsonFormatter.ToDiagnosticString(this);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void WriteTo(pb::CodedOutputStream output)
{
if (Name.Length != 0)
{
output.WriteRawTag(10);
output.WriteString(Name);
}
if (type_ != null)
{
output.WriteRawTag(18);
output.WriteMessage(Type);
}
if (DocString.Length != 0)
{
output.WriteRawTag(26);
output.WriteString(DocString);
}
if (_unknownFields != null)
{
_unknownFields.WriteTo(output);
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int CalculateSize()
{
int size = 0;
if (Name.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(Name);
}
if (type_ != null)
{
size += 1 + pb::CodedOutputStream.ComputeMessageSize(Type);
}
if (DocString.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(DocString);
}
if (_unknownFields != null)
{
size += _unknownFields.CalculateSize();
}
return size;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(ValueInfoProto other)
{
if (other == null)
{
return;
}
if (other.Name.Length != 0)
{
Name = other.Name;
}
if (other.type_ != null)
{
if (type_ == null)
{
Type = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto();
}
Type.MergeFrom(other.Type);
}
if (other.DocString.Length != 0)
{
DocString = other.DocString;
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 10:
{
Name = input.ReadString();
break;
}
case 18:
{
if (type_ == null)
{
Type = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto();
}
input.ReadMessage(Type);
break;
}
case 26:
{
DocString = input.ReadString();
break;
}
}
}
}
}
/// <summary>
/// Nodes
///
/// Computation graphs are made up of a DAG of nodes, which represent what is
/// commonly called a "layer" or "pipeline stage" in machine learning frameworks.
///
/// For example, it can be a node of type "Conv" that takes in an image, a filter
/// tensor and a bias tensor, and produces the convolved output.
/// </summary>
public sealed partial class NodeProto : pb::IMessage<NodeProto>
{
private static readonly pb::MessageParser<NodeProto> _parser = new pb::MessageParser<NodeProto>(() => new NodeProto());
private pb::UnknownFieldSet _unknownFields;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pb::MessageParser<NodeProto> Parser { get { return _parser; } }
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pbr::MessageDescriptor Descriptor
{
get { return global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.OnnxMlReflection.Descriptor.MessageTypes[2]; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
pbr::MessageDescriptor pb::IMessage.Descriptor
{
get { return Descriptor; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public NodeProto()
{
OnConstruction();
}
partial void OnConstruction();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public NodeProto(NodeProto other) : this()
{
input_ = other.input_.Clone();
output_ = other.output_.Clone();
name_ = other.name_;
opType_ = other.opType_;
domain_ = other.domain_;
attribute_ = other.attribute_.Clone();
docString_ = other.docString_;
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public NodeProto Clone()
{
return new NodeProto(this);
}
/// <summary>Field number for the "input" field.</summary>
public const int InputFieldNumber = 1;
private static readonly pb::FieldCodec<string> _repeated_input_codec
= pb::FieldCodec.ForString(10);
private readonly pbc::RepeatedField<string> input_ = new pbc::RepeatedField<string>();
/// <summary>
/// namespace Value
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<string> Input
{
get { return input_; }
}
/// <summary>Field number for the "output" field.</summary>
public const int OutputFieldNumber = 2;
private static readonly pb::FieldCodec<string> _repeated_output_codec
= pb::FieldCodec.ForString(18);
private readonly pbc::RepeatedField<string> output_ = new pbc::RepeatedField<string>();
/// <summary>
/// namespace Value
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<string> Output
{
get { return output_; }
}
/// <summary>Field number for the "name" field.</summary>
public const int NameFieldNumber = 3;
private string name_ = "";
/// <summary>
/// An optional identifier for this node in a graph.
/// This field MAY be absent in ths version of the IR.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string Name
{
get { return name_; }
set
{
name_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "op_type" field.</summary>
public const int OpTypeFieldNumber = 4;
private string opType_ = "";
/// <summary>
/// The symbolic identifier of the Operator to execute.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string OpType
{
get { return opType_; }
set
{
opType_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "domain" field.</summary>
public const int DomainFieldNumber = 7;
private string domain_ = "";
/// <summary>
/// The domain of the OperatorSet that specifies the operator named by op_type.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string Domain
{
get { return domain_; }
set
{
domain_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "attribute" field.</summary>
public const int AttributeFieldNumber = 5;
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.AttributeProto> _repeated_attribute_codec
= pb::FieldCodec.ForMessage(42, global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.AttributeProto.Parser);
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.AttributeProto> attribute_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.AttributeProto>();
/// <summary>
/// Additional named attributes.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.AttributeProto> Attribute
{
get { return attribute_; }
}
/// <summary>Field number for the "doc_string" field.</summary>
public const int DocStringFieldNumber = 6;
private string docString_ = "";
/// <summary>
/// A human-readable documentation for this node. Markdown is allowed.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string DocString
{
get { return docString_; }
set
{
docString_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override bool Equals(object other)
{
return Equals(other as NodeProto);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool Equals(NodeProto other)
{
if (ReferenceEquals(other, null))
{
return false;
}
if (ReferenceEquals(other, this))
{
return true;
}
if (!input_.Equals(other.input_)) return false;
if (!output_.Equals(other.output_)) return false;
if (Name != other.Name) return false;
if (OpType != other.OpType) return false;
if (Domain != other.Domain) return false;
if (!attribute_.Equals(other.attribute_)) return false;
if (DocString != other.DocString) return false;
return Equals(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override int GetHashCode()
{
int hash = 1;
hash ^= input_.GetHashCode();
hash ^= output_.GetHashCode();
if (Name.Length != 0) hash ^= Name.GetHashCode();
if (OpType.Length != 0) hash ^= OpType.GetHashCode();
if (Domain.Length != 0) hash ^= Domain.GetHashCode();
hash ^= attribute_.GetHashCode();
if (DocString.Length != 0) hash ^= DocString.GetHashCode();
if (_unknownFields != null)
{
hash ^= _unknownFields.GetHashCode();
}
return hash;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override string ToString()
{
return pb::JsonFormatter.ToDiagnosticString(this);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void WriteTo(pb::CodedOutputStream output)
{
input_.WriteTo(output, _repeated_input_codec);
output_.WriteTo(output, _repeated_output_codec);
if (Name.Length != 0)
{
output.WriteRawTag(26);
output.WriteString(Name);
}
if (OpType.Length != 0)
{
output.WriteRawTag(34);
output.WriteString(OpType);
}
attribute_.WriteTo(output, _repeated_attribute_codec);
if (DocString.Length != 0)
{
output.WriteRawTag(50);
output.WriteString(DocString);
}
if (Domain.Length != 0)
{
output.WriteRawTag(58);
output.WriteString(Domain);
}
if (_unknownFields != null)
{
_unknownFields.WriteTo(output);
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int CalculateSize()
{
int size = 0;
size += input_.CalculateSize(_repeated_input_codec);
size += output_.CalculateSize(_repeated_output_codec);
if (Name.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(Name);
}
if (OpType.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(OpType);
}
if (Domain.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(Domain);
}
size += attribute_.CalculateSize(_repeated_attribute_codec);
if (DocString.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(DocString);
}
if (_unknownFields != null)
{
size += _unknownFields.CalculateSize();
}
return size;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(NodeProto other)
{
if (other == null)
{
return;
}
input_.Add(other.input_);
output_.Add(other.output_);
if (other.Name.Length != 0)
{
Name = other.Name;
}
if (other.OpType.Length != 0)
{
OpType = other.OpType;
}
if (other.Domain.Length != 0)
{
Domain = other.Domain;
}
attribute_.Add(other.attribute_);
if (other.DocString.Length != 0)
{
DocString = other.DocString;
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 10:
{
input_.AddEntriesFrom(input, _repeated_input_codec);
break;
}
case 18:
{
output_.AddEntriesFrom(input, _repeated_output_codec);
break;
}
case 26:
{
Name = input.ReadString();
break;
}
case 34:
{
OpType = input.ReadString();
break;
}
case 42:
{
attribute_.AddEntriesFrom(input, _repeated_attribute_codec);
break;
}
case 50:
{
DocString = input.ReadString();
break;
}
case 58:
{
Domain = input.ReadString();
break;
}
}
}
}
}
/// <summary>
/// Models
///
/// ModelProto is a top-level file/container format for bundling a ML model and
/// associating its computation graph with metadata.
///
/// The semantics of the model are described by the associated GraphProto.
/// </summary>
public sealed partial class ModelProto : pb::IMessage<ModelProto>
{
private static readonly pb::MessageParser<ModelProto> _parser = new pb::MessageParser<ModelProto>(() => new ModelProto());
private pb::UnknownFieldSet _unknownFields;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pb::MessageParser<ModelProto> Parser { get { return _parser; } }
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pbr::MessageDescriptor Descriptor
{
get { return global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.OnnxMlReflection.Descriptor.MessageTypes[3]; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
pbr::MessageDescriptor pb::IMessage.Descriptor
{
get { return Descriptor; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public ModelProto()
{
OnConstruction();
}
partial void OnConstruction();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public ModelProto(ModelProto other) : this()
{
irVersion_ = other.irVersion_;
opsetImport_ = other.opsetImport_.Clone();
producerName_ = other.producerName_;
producerVersion_ = other.producerVersion_;
domain_ = other.domain_;
modelVersion_ = other.modelVersion_;
docString_ = other.docString_;
graph_ = other.graph_ != null ? other.graph_.Clone() : null;
metadataProps_ = other.metadataProps_.Clone();
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public ModelProto Clone()
{
return new ModelProto(this);
}
/// <summary>Field number for the "ir_version" field.</summary>
public const int IrVersionFieldNumber = 1;
private long irVersion_;
/// <summary>
/// The version of the IR this model targets. See Version enum above.
/// This field MUST be present.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public long IrVersion
{
get { return irVersion_; }
set
{
irVersion_ = value;
}
}
/// <summary>Field number for the "opset_import" field.</summary>
public const int OpsetImportFieldNumber = 8;
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.OperatorSetIdProto> _repeated_opsetImport_codec
= pb::FieldCodec.ForMessage(66, global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.OperatorSetIdProto.Parser);
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.OperatorSetIdProto> opsetImport_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.OperatorSetIdProto>();
/// <summary>
/// The OperatorSets this model relies on.
/// All ModelProtos MUST have at least one entry that
/// specifies which version of the ONNX OperatorSet is
/// being imported.
///
/// All nodes in the ModelProto's graph will bind against the operator
/// with the same-domain/same-op_type operator with the HIGHEST version
/// in the referenced operator sets.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.OperatorSetIdProto> OpsetImport
{
get { return opsetImport_; }
}
/// <summary>Field number for the "producer_name" field.</summary>
public const int ProducerNameFieldNumber = 2;
private string producerName_ = "";
/// <summary>
/// The name of the framework or tool used to generate this model.
/// This field SHOULD be present to indicate which implementation/tool/framework
/// emitted the model.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string ProducerName
{
get { return producerName_; }
set
{
producerName_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "producer_version" field.</summary>
public const int ProducerVersionFieldNumber = 3;
private string producerVersion_ = "";
/// <summary>
/// The version of the framework or tool used to generate this model.
/// This field SHOULD be present to indicate which implementation/tool/framework
/// emitted the model.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string ProducerVersion
{
get { return producerVersion_; }
set
{
producerVersion_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "domain" field.</summary>
public const int DomainFieldNumber = 4;
private string domain_ = "";
/// <summary>
/// Domain name of the model.
/// We use reverse domain names as name space indicators. For example:
/// `com.facebook.fair` or `com.microsoft.cognitiveservices`
///
/// Together with `model_version` and GraphProto.name, this forms the unique identity of
/// the graph.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string Domain
{
get { return domain_; }
set
{
domain_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "model_version" field.</summary>
public const int ModelVersionFieldNumber = 5;
private long modelVersion_;
/// <summary>
/// The version of the graph encoded. See Version enum below.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public long ModelVersion
{
get { return modelVersion_; }
set
{
modelVersion_ = value;
}
}
/// <summary>Field number for the "doc_string" field.</summary>
public const int DocStringFieldNumber = 6;
private string docString_ = "";
/// <summary>
/// A human-readable documentation for this model. Markdown is allowed.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string DocString
{
get { return docString_; }
set
{
docString_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "graph" field.</summary>
public const int GraphFieldNumber = 7;
private global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.GraphProto graph_;
/// <summary>
/// The parameterized graph that is evaluated to execute the model.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.GraphProto Graph
{
get { return graph_; }
set
{
graph_ = value;
}
}
/// <summary>Field number for the "metadata_props" field.</summary>
public const int MetadataPropsFieldNumber = 14;
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.StringStringEntryProto> _repeated_metadataProps_codec
= pb::FieldCodec.ForMessage(114, global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.StringStringEntryProto.Parser);
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.StringStringEntryProto> metadataProps_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.StringStringEntryProto>();
/// <summary>
/// Named metadata values; keys should be distinct.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.StringStringEntryProto> MetadataProps
{
get { return metadataProps_; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override bool Equals(object other)
{
return Equals(other as ModelProto);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool Equals(ModelProto other)
{
if (ReferenceEquals(other, null))
{
return false;
}
if (ReferenceEquals(other, this))
{
return true;
}
if (IrVersion != other.IrVersion) return false;
if (!opsetImport_.Equals(other.opsetImport_)) return false;
if (ProducerName != other.ProducerName) return false;
if (ProducerVersion != other.ProducerVersion) return false;
if (Domain != other.Domain) return false;
if (ModelVersion != other.ModelVersion) return false;
if (DocString != other.DocString) return false;
if (!object.Equals(Graph, other.Graph)) return false;
if (!metadataProps_.Equals(other.metadataProps_)) return false;
return Equals(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override int GetHashCode()
{
int hash = 1;
if (IrVersion != 0L) hash ^= IrVersion.GetHashCode();
hash ^= opsetImport_.GetHashCode();
if (ProducerName.Length != 0) hash ^= ProducerName.GetHashCode();
if (ProducerVersion.Length != 0) hash ^= ProducerVersion.GetHashCode();
if (Domain.Length != 0) hash ^= Domain.GetHashCode();
if (ModelVersion != 0L) hash ^= ModelVersion.GetHashCode();
if (DocString.Length != 0) hash ^= DocString.GetHashCode();
if (graph_ != null) hash ^= Graph.GetHashCode();
hash ^= metadataProps_.GetHashCode();
if (_unknownFields != null)
{
hash ^= _unknownFields.GetHashCode();
}
return hash;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override string ToString()
{
return pb::JsonFormatter.ToDiagnosticString(this);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void WriteTo(pb::CodedOutputStream output)
{
if (IrVersion != 0L)
{
output.WriteRawTag(8);
output.WriteInt64(IrVersion);
}
if (ProducerName.Length != 0)
{
output.WriteRawTag(18);
output.WriteString(ProducerName);
}
if (ProducerVersion.Length != 0)
{
output.WriteRawTag(26);
output.WriteString(ProducerVersion);
}
if (Domain.Length != 0)
{
output.WriteRawTag(34);
output.WriteString(Domain);
}
if (ModelVersion != 0L)
{
output.WriteRawTag(40);
output.WriteInt64(ModelVersion);
}
if (DocString.Length != 0)
{
output.WriteRawTag(50);
output.WriteString(DocString);
}
if (graph_ != null)
{
output.WriteRawTag(58);
output.WriteMessage(Graph);
}
opsetImport_.WriteTo(output, _repeated_opsetImport_codec);
metadataProps_.WriteTo(output, _repeated_metadataProps_codec);
if (_unknownFields != null)
{
_unknownFields.WriteTo(output);
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int CalculateSize()
{
int size = 0;
if (IrVersion != 0L)
{
size += 1 + pb::CodedOutputStream.ComputeInt64Size(IrVersion);
}
size += opsetImport_.CalculateSize(_repeated_opsetImport_codec);
if (ProducerName.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(ProducerName);
}
if (ProducerVersion.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(ProducerVersion);
}
if (Domain.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(Domain);
}
if (ModelVersion != 0L)
{
size += 1 + pb::CodedOutputStream.ComputeInt64Size(ModelVersion);
}
if (DocString.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(DocString);
}
if (graph_ != null)
{
size += 1 + pb::CodedOutputStream.ComputeMessageSize(Graph);
}
size += metadataProps_.CalculateSize(_repeated_metadataProps_codec);
if (_unknownFields != null)
{
size += _unknownFields.CalculateSize();
}
return size;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(ModelProto other)
{
if (other == null)
{
return;
}
if (other.IrVersion != 0L)
{
IrVersion = other.IrVersion;
}
opsetImport_.Add(other.opsetImport_);
if (other.ProducerName.Length != 0)
{
ProducerName = other.ProducerName;
}
if (other.ProducerVersion.Length != 0)
{
ProducerVersion = other.ProducerVersion;
}
if (other.Domain.Length != 0)
{
Domain = other.Domain;
}
if (other.ModelVersion != 0L)
{
ModelVersion = other.ModelVersion;
}
if (other.DocString.Length != 0)
{
DocString = other.DocString;
}
if (other.graph_ != null)
{
if (graph_ == null)
{
Graph = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.GraphProto();
}
Graph.MergeFrom(other.Graph);
}
metadataProps_.Add(other.metadataProps_);
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 8:
{
IrVersion = input.ReadInt64();
break;
}
case 18:
{
ProducerName = input.ReadString();
break;
}
case 26:
{
ProducerVersion = input.ReadString();
break;
}
case 34:
{
Domain = input.ReadString();
break;
}
case 40:
{
ModelVersion = input.ReadInt64();
break;
}
case 50:
{
DocString = input.ReadString();
break;
}
case 58:
{
if (graph_ == null)
{
Graph = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.GraphProto();
}
input.ReadMessage(Graph);
break;
}
case 66:
{
opsetImport_.AddEntriesFrom(input, _repeated_opsetImport_codec);
break;
}
case 114:
{
metadataProps_.AddEntriesFrom(input, _repeated_metadataProps_codec);
break;
}
}
}
}
}
/// <summary>
/// StringStringEntryProto follows the pattern for cross-proto-version maps.
/// See https://developers.google.com/protocol-buffers/docs/proto3#maps
/// </summary>
public sealed partial class StringStringEntryProto : pb::IMessage<StringStringEntryProto>
{
private static readonly pb::MessageParser<StringStringEntryProto> _parser = new pb::MessageParser<StringStringEntryProto>(() => new StringStringEntryProto());
private pb::UnknownFieldSet _unknownFields;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pb::MessageParser<StringStringEntryProto> Parser { get { return _parser; } }
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pbr::MessageDescriptor Descriptor
{
get { return global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.OnnxMlReflection.Descriptor.MessageTypes[4]; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
pbr::MessageDescriptor pb::IMessage.Descriptor
{
get { return Descriptor; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public StringStringEntryProto()
{
OnConstruction();
}
partial void OnConstruction();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public StringStringEntryProto(StringStringEntryProto other) : this()
{
key_ = other.key_;
value_ = other.value_;
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public StringStringEntryProto Clone()
{
return new StringStringEntryProto(this);
}
/// <summary>Field number for the "key" field.</summary>
public const int KeyFieldNumber = 1;
private string key_ = "";
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string Key
{
get { return key_; }
set
{
key_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "value" field.</summary>
public const int ValueFieldNumber = 2;
private string value_ = "";
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string Value
{
get { return value_; }
set
{
value_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override bool Equals(object other)
{
return Equals(other as StringStringEntryProto);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool Equals(StringStringEntryProto other)
{
if (ReferenceEquals(other, null))
{
return false;
}
if (ReferenceEquals(other, this))
{
return true;
}
if (Key != other.Key) return false;
if (Value != other.Value) return false;
return Equals(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override int GetHashCode()
{
int hash = 1;
if (Key.Length != 0) hash ^= Key.GetHashCode();
if (Value.Length != 0) hash ^= Value.GetHashCode();
if (_unknownFields != null)
{
hash ^= _unknownFields.GetHashCode();
}
return hash;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override string ToString()
{
return pb::JsonFormatter.ToDiagnosticString(this);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void WriteTo(pb::CodedOutputStream output)
{
if (Key.Length != 0)
{
output.WriteRawTag(10);
output.WriteString(Key);
}
if (Value.Length != 0)
{
output.WriteRawTag(18);
output.WriteString(Value);
}
if (_unknownFields != null)
{
_unknownFields.WriteTo(output);
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int CalculateSize()
{
int size = 0;
if (Key.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(Key);
}
if (Value.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(Value);
}
if (_unknownFields != null)
{
size += _unknownFields.CalculateSize();
}
return size;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(StringStringEntryProto other)
{
if (other == null)
{
return;
}
if (other.Key.Length != 0)
{
Key = other.Key;
}
if (other.Value.Length != 0)
{
Value = other.Value;
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 10:
{
Key = input.ReadString();
break;
}
case 18:
{
Value = input.ReadString();
break;
}
}
}
}
}
public sealed partial class TensorAnnotation : pb::IMessage<TensorAnnotation>
{
private static readonly pb::MessageParser<TensorAnnotation> _parser = new pb::MessageParser<TensorAnnotation>(() => new TensorAnnotation());
private pb::UnknownFieldSet _unknownFields;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pb::MessageParser<TensorAnnotation> Parser { get { return _parser; } }
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pbr::MessageDescriptor Descriptor
{
get { return global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.OnnxMlReflection.Descriptor.MessageTypes[5]; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
pbr::MessageDescriptor pb::IMessage.Descriptor
{
get { return Descriptor; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public TensorAnnotation()
{
OnConstruction();
}
partial void OnConstruction();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public TensorAnnotation(TensorAnnotation other) : this()
{
tensorName_ = other.tensorName_;
quantParameterTensorNames_ = other.quantParameterTensorNames_.Clone();
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public TensorAnnotation Clone()
{
return new TensorAnnotation(this);
}
/// <summary>Field number for the "tensor_name" field.</summary>
public const int TensorNameFieldNumber = 1;
private string tensorName_ = "";
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string TensorName
{
get { return tensorName_; }
set
{
tensorName_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "quant_parameter_tensor_names" field.</summary>
public const int QuantParameterTensorNamesFieldNumber = 2;
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.StringStringEntryProto> _repeated_quantParameterTensorNames_codec
= pb::FieldCodec.ForMessage(18, global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.StringStringEntryProto.Parser);
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.StringStringEntryProto> quantParameterTensorNames_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.StringStringEntryProto>();
/// <summary>
/// <key, value> pairs to annotate tensor specified by <tensor_name> above.
/// The keys used in the mapping below must be pre-defined in ONNX spec.
/// For example, for 8-bit linear quantization case, 'SCALE_TENSOR', 'ZERO_POINT_TENSOR' will be pre-defined as
/// quantization parameter keys.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.StringStringEntryProto> QuantParameterTensorNames
{
get { return quantParameterTensorNames_; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override bool Equals(object other)
{
return Equals(other as TensorAnnotation);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool Equals(TensorAnnotation other)
{
if (ReferenceEquals(other, null))
{
return false;
}
if (ReferenceEquals(other, this))
{
return true;
}
if (TensorName != other.TensorName) return false;
if (!quantParameterTensorNames_.Equals(other.quantParameterTensorNames_)) return false;
return Equals(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override int GetHashCode()
{
int hash = 1;
if (TensorName.Length != 0) hash ^= TensorName.GetHashCode();
hash ^= quantParameterTensorNames_.GetHashCode();
if (_unknownFields != null)
{
hash ^= _unknownFields.GetHashCode();
}
return hash;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override string ToString()
{
return pb::JsonFormatter.ToDiagnosticString(this);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void WriteTo(pb::CodedOutputStream output)
{
if (TensorName.Length != 0)
{
output.WriteRawTag(10);
output.WriteString(TensorName);
}
quantParameterTensorNames_.WriteTo(output, _repeated_quantParameterTensorNames_codec);
if (_unknownFields != null)
{
_unknownFields.WriteTo(output);
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int CalculateSize()
{
int size = 0;
if (TensorName.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(TensorName);
}
size += quantParameterTensorNames_.CalculateSize(_repeated_quantParameterTensorNames_codec);
if (_unknownFields != null)
{
size += _unknownFields.CalculateSize();
}
return size;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(TensorAnnotation other)
{
if (other == null)
{
return;
}
if (other.TensorName.Length != 0)
{
TensorName = other.TensorName;
}
quantParameterTensorNames_.Add(other.quantParameterTensorNames_);
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 10:
{
TensorName = input.ReadString();
break;
}
case 18:
{
quantParameterTensorNames_.AddEntriesFrom(input, _repeated_quantParameterTensorNames_codec);
break;
}
}
}
}
}
/// <summary>
/// Graphs
///
/// A graph defines the computational logic of a model and is comprised of a parameterized
/// list of nodes that form a directed acyclic graph based on their inputs and outputs.
/// This is the equivalent of the "network" or "graph" in many deep learning
/// frameworks.
/// </summary>
public sealed partial class GraphProto : pb::IMessage<GraphProto>
{
private static readonly pb::MessageParser<GraphProto> _parser = new pb::MessageParser<GraphProto>(() => new GraphProto());
private pb::UnknownFieldSet _unknownFields;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pb::MessageParser<GraphProto> Parser { get { return _parser; } }
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pbr::MessageDescriptor Descriptor
{
get { return global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.OnnxMlReflection.Descriptor.MessageTypes[6]; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
pbr::MessageDescriptor pb::IMessage.Descriptor
{
get { return Descriptor; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public GraphProto()
{
OnConstruction();
}
partial void OnConstruction();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public GraphProto(GraphProto other) : this()
{
node_ = other.node_.Clone();
name_ = other.name_;
initializer_ = other.initializer_.Clone();
sparseInitializer_ = other.sparseInitializer_.Clone();
docString_ = other.docString_;
input_ = other.input_.Clone();
output_ = other.output_.Clone();
valueInfo_ = other.valueInfo_.Clone();
quantizationAnnotation_ = other.quantizationAnnotation_.Clone();
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public GraphProto Clone()
{
return new GraphProto(this);
}
/// <summary>Field number for the "node" field.</summary>
public const int NodeFieldNumber = 1;
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.NodeProto> _repeated_node_codec
= pb::FieldCodec.ForMessage(10, global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.NodeProto.Parser);
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.NodeProto> node_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.NodeProto>();
/// <summary>
/// The nodes in the graph, sorted topologically.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.NodeProto> Node
{
get { return node_; }
}
/// <summary>Field number for the "name" field.</summary>
public const int NameFieldNumber = 2;
private string name_ = "";
/// <summary>
/// The name of the graph.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string Name
{
get { return name_; }
set
{
name_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "initializer" field.</summary>
public const int InitializerFieldNumber = 5;
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto> _repeated_initializer_codec
= pb::FieldCodec.ForMessage(42, global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto.Parser);
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto> initializer_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto>();
/// <summary>
/// A list of named tensor values, used to specify constant inputs of the graph.
/// Each TensorProto entry must have a distinct name (within the list) that
/// MAY also appear in the input list.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto> Initializer
{
get { return initializer_; }
}
/// <summary>Field number for the "sparse_initializer" field.</summary>
public const int SparseInitializerFieldNumber = 15;
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.SparseTensorProto> _repeated_sparseInitializer_codec
= pb::FieldCodec.ForMessage(122, global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.SparseTensorProto.Parser);
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.SparseTensorProto> sparseInitializer_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.SparseTensorProto>();
/// <summary>
/// Initializers (see above) stored in sparse format.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.SparseTensorProto> SparseInitializer
{
get { return sparseInitializer_; }
}
/// <summary>Field number for the "doc_string" field.</summary>
public const int DocStringFieldNumber = 10;
private string docString_ = "";
/// <summary>
/// A human-readable documentation for this graph. Markdown is allowed.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string DocString
{
get { return docString_; }
set
{
docString_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "input" field.</summary>
public const int InputFieldNumber = 11;
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.ValueInfoProto> _repeated_input_codec
= pb::FieldCodec.ForMessage(90, global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.ValueInfoProto.Parser);
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.ValueInfoProto> input_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.ValueInfoProto>();
/// <summary>
/// The inputs and outputs of the graph.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.ValueInfoProto> Input
{
get { return input_; }
}
/// <summary>Field number for the "output" field.</summary>
public const int OutputFieldNumber = 12;
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.ValueInfoProto> _repeated_output_codec
= pb::FieldCodec.ForMessage(98, global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.ValueInfoProto.Parser);
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.ValueInfoProto> output_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.ValueInfoProto>();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.ValueInfoProto> Output
{
get { return output_; }
}
/// <summary>Field number for the "value_info" field.</summary>
public const int ValueInfoFieldNumber = 13;
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.ValueInfoProto> _repeated_valueInfo_codec
= pb::FieldCodec.ForMessage(106, global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.ValueInfoProto.Parser);
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.ValueInfoProto> valueInfo_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.ValueInfoProto>();
/// <summary>
/// Information for the values in the graph. The ValueInfoProto.name's
/// must be distinct. It is optional for a value to appear in value_info list.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.ValueInfoProto> ValueInfo
{
get { return valueInfo_; }
}
/// <summary>Field number for the "quantization_annotation" field.</summary>
public const int QuantizationAnnotationFieldNumber = 14;
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorAnnotation> _repeated_quantizationAnnotation_codec
= pb::FieldCodec.ForMessage(114, global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorAnnotation.Parser);
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorAnnotation> quantizationAnnotation_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorAnnotation>();
/// <summary>
/// This field carries information to indicate the mapping among a tensor and its
/// quantization parameter tensors. For example:
/// For tensor 'a', it may have {'SCALE_TENSOR', 'a_scale'} and {'ZERO_POINT_TENSOR', 'a_zero_point'} annotated,
/// which means, tensor 'a_scale' and tensor 'a_zero_point' are scale and zero point of tensor 'a' in the model.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorAnnotation> QuantizationAnnotation
{
get { return quantizationAnnotation_; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override bool Equals(object other)
{
return Equals(other as GraphProto);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool Equals(GraphProto other)
{
if (ReferenceEquals(other, null))
{
return false;
}
if (ReferenceEquals(other, this))
{
return true;
}
if (!node_.Equals(other.node_)) return false;
if (Name != other.Name) return false;
if (!initializer_.Equals(other.initializer_)) return false;
if (!sparseInitializer_.Equals(other.sparseInitializer_)) return false;
if (DocString != other.DocString) return false;
if (!input_.Equals(other.input_)) return false;
if (!output_.Equals(other.output_)) return false;
if (!valueInfo_.Equals(other.valueInfo_)) return false;
if (!quantizationAnnotation_.Equals(other.quantizationAnnotation_)) return false;
return Equals(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override int GetHashCode()
{
int hash = 1;
hash ^= node_.GetHashCode();
if (Name.Length != 0) hash ^= Name.GetHashCode();
hash ^= initializer_.GetHashCode();
hash ^= sparseInitializer_.GetHashCode();
if (DocString.Length != 0) hash ^= DocString.GetHashCode();
hash ^= input_.GetHashCode();
hash ^= output_.GetHashCode();
hash ^= valueInfo_.GetHashCode();
hash ^= quantizationAnnotation_.GetHashCode();
if (_unknownFields != null)
{
hash ^= _unknownFields.GetHashCode();
}
return hash;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override string ToString()
{
return pb::JsonFormatter.ToDiagnosticString(this);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void WriteTo(pb::CodedOutputStream output)
{
node_.WriteTo(output, _repeated_node_codec);
if (Name.Length != 0)
{
output.WriteRawTag(18);
output.WriteString(Name);
}
initializer_.WriteTo(output, _repeated_initializer_codec);
if (DocString.Length != 0)
{
output.WriteRawTag(82);
output.WriteString(DocString);
}
input_.WriteTo(output, _repeated_input_codec);
output_.WriteTo(output, _repeated_output_codec);
valueInfo_.WriteTo(output, _repeated_valueInfo_codec);
quantizationAnnotation_.WriteTo(output, _repeated_quantizationAnnotation_codec);
sparseInitializer_.WriteTo(output, _repeated_sparseInitializer_codec);
if (_unknownFields != null)
{
_unknownFields.WriteTo(output);
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int CalculateSize()
{
int size = 0;
size += node_.CalculateSize(_repeated_node_codec);
if (Name.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(Name);
}
size += initializer_.CalculateSize(_repeated_initializer_codec);
size += sparseInitializer_.CalculateSize(_repeated_sparseInitializer_codec);
if (DocString.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(DocString);
}
size += input_.CalculateSize(_repeated_input_codec);
size += output_.CalculateSize(_repeated_output_codec);
size += valueInfo_.CalculateSize(_repeated_valueInfo_codec);
size += quantizationAnnotation_.CalculateSize(_repeated_quantizationAnnotation_codec);
if (_unknownFields != null)
{
size += _unknownFields.CalculateSize();
}
return size;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(GraphProto other)
{
if (other == null)
{
return;
}
node_.Add(other.node_);
if (other.Name.Length != 0)
{
Name = other.Name;
}
initializer_.Add(other.initializer_);
sparseInitializer_.Add(other.sparseInitializer_);
if (other.DocString.Length != 0)
{
DocString = other.DocString;
}
input_.Add(other.input_);
output_.Add(other.output_);
valueInfo_.Add(other.valueInfo_);
quantizationAnnotation_.Add(other.quantizationAnnotation_);
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 10:
{
node_.AddEntriesFrom(input, _repeated_node_codec);
break;
}
case 18:
{
Name = input.ReadString();
break;
}
case 42:
{
initializer_.AddEntriesFrom(input, _repeated_initializer_codec);
break;
}
case 82:
{
DocString = input.ReadString();
break;
}
case 90:
{
input_.AddEntriesFrom(input, _repeated_input_codec);
break;
}
case 98:
{
output_.AddEntriesFrom(input, _repeated_output_codec);
break;
}
case 106:
{
valueInfo_.AddEntriesFrom(input, _repeated_valueInfo_codec);
break;
}
case 114:
{
quantizationAnnotation_.AddEntriesFrom(input, _repeated_quantizationAnnotation_codec);
break;
}
case 122:
{
sparseInitializer_.AddEntriesFrom(input, _repeated_sparseInitializer_codec);
break;
}
}
}
}
}
/// <summary>
/// Tensors
///
/// A serialized tensor value.
/// </summary>
public sealed partial class TensorProto : pb::IMessage<TensorProto>
{
private static readonly pb::MessageParser<TensorProto> _parser = new pb::MessageParser<TensorProto>(() => new TensorProto());
private pb::UnknownFieldSet _unknownFields;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pb::MessageParser<TensorProto> Parser { get { return _parser; } }
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pbr::MessageDescriptor Descriptor
{
get { return global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.OnnxMlReflection.Descriptor.MessageTypes[7]; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
pbr::MessageDescriptor pb::IMessage.Descriptor
{
get { return Descriptor; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public TensorProto()
{
OnConstruction();
}
partial void OnConstruction();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public TensorProto(TensorProto other) : this()
{
dims_ = other.dims_.Clone();
dataType_ = other.dataType_;
segment_ = other.segment_ != null ? other.segment_.Clone() : null;
floatData_ = other.floatData_.Clone();
int32Data_ = other.int32Data_.Clone();
stringData_ = other.stringData_.Clone();
int64Data_ = other.int64Data_.Clone();
name_ = other.name_;
docString_ = other.docString_;
rawData_ = other.rawData_;
externalData_ = other.externalData_.Clone();
dataLocation_ = other.dataLocation_;
doubleData_ = other.doubleData_.Clone();
uint64Data_ = other.uint64Data_.Clone();
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public TensorProto Clone()
{
return new TensorProto(this);
}
/// <summary>Field number for the "dims" field.</summary>
public const int DimsFieldNumber = 1;
private static readonly pb::FieldCodec<long> _repeated_dims_codec
= pb::FieldCodec.ForInt64(10);
private readonly pbc::RepeatedField<long> dims_ = new pbc::RepeatedField<long>();
/// <summary>
/// The shape of the tensor.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<long> Dims
{
get { return dims_; }
}
/// <summary>Field number for the "data_type" field.</summary>
public const int DataTypeFieldNumber = 2;
private int dataType_;
/// <summary>
/// The data type of the tensor.
/// This field MUST have a valid TensorProto.DataType value
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int DataType
{
get { return dataType_; }
set
{
dataType_ = value;
}
}
/// <summary>Field number for the "segment" field.</summary>
public const int SegmentFieldNumber = 3;
private global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto.Types.Segment segment_;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto.Types.Segment Segment
{
get { return segment_; }
set
{
segment_ = value;
}
}
/// <summary>Field number for the "float_data" field.</summary>
public const int FloatDataFieldNumber = 4;
private static readonly pb::FieldCodec<float> _repeated_floatData_codec
= pb::FieldCodec.ForFloat(34);
private readonly pbc::RepeatedField<float> floatData_ = new pbc::RepeatedField<float>();
/// <summary>
/// For float and complex64 values
/// Complex64 tensors are encoded as a single array of floats,
/// with the real components appearing in odd numbered positions,
/// and the corresponding imaginary component appearing in the
/// subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
/// is encoded as [1.0, 2.0 ,3.0 ,4.0]
/// When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<float> FloatData
{
get { return floatData_; }
}
/// <summary>Field number for the "int32_data" field.</summary>
public const int Int32DataFieldNumber = 5;
private static readonly pb::FieldCodec<int> _repeated_int32Data_codec
= pb::FieldCodec.ForInt32(42);
private readonly pbc::RepeatedField<int> int32Data_ = new pbc::RepeatedField<int>();
/// <summary>
/// For int32, uint8, int8, uint16, int16, bool, and float16 values
/// float16 values must be bit-wise converted to an uint16_t prior
/// to writing to the buffer.
/// When this field is present, the data_type field MUST be
/// INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<int> Int32Data
{
get { return int32Data_; }
}
/// <summary>Field number for the "string_data" field.</summary>
public const int StringDataFieldNumber = 6;
private static readonly pb::FieldCodec<pb::ByteString> _repeated_stringData_codec
= pb::FieldCodec.ForBytes(50);
private readonly pbc::RepeatedField<pb::ByteString> stringData_ = new pbc::RepeatedField<pb::ByteString>();
/// <summary>
/// For strings.
/// Each element of string_data is a UTF-8 encoded Unicode
/// string. No trailing null, no leading BOM. The protobuf "string"
/// scalar type is not used to match ML community conventions.
/// When this field is present, the data_type field MUST be STRING
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<pb::ByteString> StringData
{
get { return stringData_; }
}
/// <summary>Field number for the "int64_data" field.</summary>
public const int Int64DataFieldNumber = 7;
private static readonly pb::FieldCodec<long> _repeated_int64Data_codec
= pb::FieldCodec.ForInt64(58);
private readonly pbc::RepeatedField<long> int64Data_ = new pbc::RepeatedField<long>();
/// <summary>
/// For int64.
/// When this field is present, the data_type field MUST be INT64
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<long> Int64Data
{
get { return int64Data_; }
}
/// <summary>Field number for the "name" field.</summary>
public const int NameFieldNumber = 8;
private string name_ = "";
/// <summary>
/// Optionally, a name for the tensor.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string Name
{
get { return name_; }
set
{
name_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "doc_string" field.</summary>
public const int DocStringFieldNumber = 12;
private string docString_ = "";
/// <summary>
/// A human-readable documentation for this tensor. Markdown is allowed.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string DocString
{
get { return docString_; }
set
{
docString_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "raw_data" field.</summary>
public const int RawDataFieldNumber = 9;
private pb::ByteString rawData_ = pb::ByteString.Empty;
/// <summary>
/// Serializations can either use one of the fields above, or use this
/// raw bytes field. The only exception is the string case, where one is
/// required to store the content in the repeated bytes string_data field.
///
/// When this raw_data field is used to store tensor value, elements MUST
/// be stored in as fixed-width, little-endian order.
/// Floating-point data types MUST be stored in IEEE 754 format.
/// Complex64 elements must be written as two consecutive FLOAT values, real component first.
/// Complex128 elements must be written as two consecutive DOUBLE values, real component first.
/// Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false).
///
/// Note: the advantage of specific field rather than the raw_data field is
/// that in some cases (e.g. int data), protobuf does a better packing via
/// variable length storage, and may lead to smaller binary footprint.
/// When this field is present, the data_type field MUST NOT be STRING or UNDEFINED
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pb::ByteString RawData
{
get { return rawData_; }
set
{
rawData_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "external_data" field.</summary>
public const int ExternalDataFieldNumber = 13;
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.StringStringEntryProto> _repeated_externalData_codec
= pb::FieldCodec.ForMessage(106, global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.StringStringEntryProto.Parser);
private readonly pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.StringStringEntryProto> externalData_ = new pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.StringStringEntryProto>();
/// <summary>
/// Data can be stored inside the protobuf file using type-specific fields or raw_data.
/// Alternatively, raw bytes data can be stored in an external file, using the external_data field.
/// external_data stores key-value pairs describing data location. Recognized keys are:
/// - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
/// protobuf model was stored
/// - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
/// Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
/// - "length" (optional) - number of bytes containing data. Integer stored as string.
/// - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.StringStringEntryProto> ExternalData
{
get { return externalData_; }
}
/// <summary>Field number for the "data_location" field.</summary>
public const int DataLocationFieldNumber = 14;
private global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto.Types.DataLocation dataLocation_ = global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto.Types.DataLocation.Default;
/// <summary>
/// If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto.Types.DataLocation DataLocation
{
get { return dataLocation_; }
set
{
dataLocation_ = value;
}
}
/// <summary>Field number for the "double_data" field.</summary>
public const int DoubleDataFieldNumber = 10;
private static readonly pb::FieldCodec<double> _repeated_doubleData_codec
= pb::FieldCodec.ForDouble(82);
private readonly pbc::RepeatedField<double> doubleData_ = new pbc::RepeatedField<double>();
/// <summary>
/// For double
/// Complex128 tensors are encoded as a single array of doubles,
/// with the real components appearing in odd numbered positions,
/// and the corresponding imaginary component appearing in the
/// subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
/// is encoded as [1.0, 2.0 ,3.0 ,4.0]
/// When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<double> DoubleData
{
get { return doubleData_; }
}
/// <summary>Field number for the "uint64_data" field.</summary>
public const int Uint64DataFieldNumber = 11;
private static readonly pb::FieldCodec<ulong> _repeated_uint64Data_codec
= pb::FieldCodec.ForUInt64(90);
private readonly pbc::RepeatedField<ulong> uint64Data_ = new pbc::RepeatedField<ulong>();
/// <summary>
/// For uint64 and uint32 values
/// When this field is present, the data_type field MUST be
/// UINT32 or UINT64
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<ulong> Uint64Data
{
get { return uint64Data_; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override bool Equals(object other)
{
return Equals(other as TensorProto);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool Equals(TensorProto other)
{
if (ReferenceEquals(other, null))
{
return false;
}
if (ReferenceEquals(other, this))
{
return true;
}
if (!dims_.Equals(other.dims_)) return false;
if (DataType != other.DataType) return false;
if (!object.Equals(Segment, other.Segment)) return false;
if (!floatData_.Equals(other.floatData_)) return false;
if (!int32Data_.Equals(other.int32Data_)) return false;
if (!stringData_.Equals(other.stringData_)) return false;
if (!int64Data_.Equals(other.int64Data_)) return false;
if (Name != other.Name) return false;
if (DocString != other.DocString) return false;
if (RawData != other.RawData) return false;
if (!externalData_.Equals(other.externalData_)) return false;
if (DataLocation != other.DataLocation) return false;
if (!doubleData_.Equals(other.doubleData_)) return false;
if (!uint64Data_.Equals(other.uint64Data_)) return false;
return Equals(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override int GetHashCode()
{
int hash = 1;
hash ^= dims_.GetHashCode();
if (DataType != 0) hash ^= DataType.GetHashCode();
if (segment_ != null) hash ^= Segment.GetHashCode();
hash ^= floatData_.GetHashCode();
hash ^= int32Data_.GetHashCode();
hash ^= stringData_.GetHashCode();
hash ^= int64Data_.GetHashCode();
if (Name.Length != 0) hash ^= Name.GetHashCode();
if (DocString.Length != 0) hash ^= DocString.GetHashCode();
if (RawData.Length != 0) hash ^= RawData.GetHashCode();
hash ^= externalData_.GetHashCode();
if (DataLocation != global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto.Types.DataLocation.Default) hash ^= DataLocation.GetHashCode();
hash ^= doubleData_.GetHashCode();
hash ^= uint64Data_.GetHashCode();
if (_unknownFields != null)
{
hash ^= _unknownFields.GetHashCode();
}
return hash;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override string ToString()
{
return pb::JsonFormatter.ToDiagnosticString(this);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void WriteTo(pb::CodedOutputStream output)
{
dims_.WriteTo(output, _repeated_dims_codec);
if (DataType != 0)
{
output.WriteRawTag(16);
output.WriteInt32(DataType);
}
if (segment_ != null)
{
output.WriteRawTag(26);
output.WriteMessage(Segment);
}
floatData_.WriteTo(output, _repeated_floatData_codec);
int32Data_.WriteTo(output, _repeated_int32Data_codec);
stringData_.WriteTo(output, _repeated_stringData_codec);
int64Data_.WriteTo(output, _repeated_int64Data_codec);
if (Name.Length != 0)
{
output.WriteRawTag(66);
output.WriteString(Name);
}
if (RawData.Length != 0)
{
output.WriteRawTag(74);
output.WriteBytes(RawData);
}
doubleData_.WriteTo(output, _repeated_doubleData_codec);
uint64Data_.WriteTo(output, _repeated_uint64Data_codec);
if (DocString.Length != 0)
{
output.WriteRawTag(98);
output.WriteString(DocString);
}
externalData_.WriteTo(output, _repeated_externalData_codec);
if (DataLocation != global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto.Types.DataLocation.Default)
{
output.WriteRawTag(112);
output.WriteEnum((int)DataLocation);
}
if (_unknownFields != null)
{
_unknownFields.WriteTo(output);
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int CalculateSize()
{
int size = 0;
size += dims_.CalculateSize(_repeated_dims_codec);
if (DataType != 0)
{
size += 1 + pb::CodedOutputStream.ComputeInt32Size(DataType);
}
if (segment_ != null)
{
size += 1 + pb::CodedOutputStream.ComputeMessageSize(Segment);
}
size += floatData_.CalculateSize(_repeated_floatData_codec);
size += int32Data_.CalculateSize(_repeated_int32Data_codec);
size += stringData_.CalculateSize(_repeated_stringData_codec);
size += int64Data_.CalculateSize(_repeated_int64Data_codec);
if (Name.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(Name);
}
if (DocString.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(DocString);
}
if (RawData.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeBytesSize(RawData);
}
size += externalData_.CalculateSize(_repeated_externalData_codec);
if (DataLocation != global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto.Types.DataLocation.Default)
{
size += 1 + pb::CodedOutputStream.ComputeEnumSize((int)DataLocation);
}
size += doubleData_.CalculateSize(_repeated_doubleData_codec);
size += uint64Data_.CalculateSize(_repeated_uint64Data_codec);
if (_unknownFields != null)
{
size += _unknownFields.CalculateSize();
}
return size;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(TensorProto other)
{
if (other == null)
{
return;
}
dims_.Add(other.dims_);
if (other.DataType != 0)
{
DataType = other.DataType;
}
if (other.segment_ != null)
{
if (segment_ == null)
{
Segment = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto.Types.Segment();
}
Segment.MergeFrom(other.Segment);
}
floatData_.Add(other.floatData_);
int32Data_.Add(other.int32Data_);
stringData_.Add(other.stringData_);
int64Data_.Add(other.int64Data_);
if (other.Name.Length != 0)
{
Name = other.Name;
}
if (other.DocString.Length != 0)
{
DocString = other.DocString;
}
if (other.RawData.Length != 0)
{
RawData = other.RawData;
}
externalData_.Add(other.externalData_);
if (other.DataLocation != global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto.Types.DataLocation.Default)
{
DataLocation = other.DataLocation;
}
doubleData_.Add(other.doubleData_);
uint64Data_.Add(other.uint64Data_);
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 10:
case 8:
{
dims_.AddEntriesFrom(input, _repeated_dims_codec);
break;
}
case 16:
{
DataType = input.ReadInt32();
break;
}
case 26:
{
if (segment_ == null)
{
Segment = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto.Types.Segment();
}
input.ReadMessage(Segment);
break;
}
case 34:
case 37:
{
floatData_.AddEntriesFrom(input, _repeated_floatData_codec);
break;
}
case 42:
case 40:
{
int32Data_.AddEntriesFrom(input, _repeated_int32Data_codec);
break;
}
case 50:
{
stringData_.AddEntriesFrom(input, _repeated_stringData_codec);
break;
}
case 58:
case 56:
{
int64Data_.AddEntriesFrom(input, _repeated_int64Data_codec);
break;
}
case 66:
{
Name = input.ReadString();
break;
}
case 74:
{
RawData = input.ReadBytes();
break;
}
case 82:
case 81:
{
doubleData_.AddEntriesFrom(input, _repeated_doubleData_codec);
break;
}
case 90:
case 88:
{
uint64Data_.AddEntriesFrom(input, _repeated_uint64Data_codec);
break;
}
case 98:
{
DocString = input.ReadString();
break;
}
case 106:
{
externalData_.AddEntriesFrom(input, _repeated_externalData_codec);
break;
}
case 112:
{
DataLocation = (global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto.Types.DataLocation)input.ReadEnum();
break;
}
}
}
}
#region Nested types
/// <summary>Container for nested types declared in the TensorProto message type.</summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static partial class Types
{
public enum DataType
{
[pbr::OriginalName("UNDEFINED")] Undefined = 0,
/// <summary>
/// Basic types.
/// </summary>
[pbr::OriginalName("FLOAT")] Float = 1,
/// <summary>
/// uint8_t
/// </summary>
[pbr::OriginalName("UINT8")] Uint8 = 2,
/// <summary>
/// int8_t
/// </summary>
[pbr::OriginalName("INT8")] Int8 = 3,
/// <summary>
/// uint16_t
/// </summary>
[pbr::OriginalName("UINT16")] Uint16 = 4,
/// <summary>
/// int16_t
/// </summary>
[pbr::OriginalName("INT16")] Int16 = 5,
/// <summary>
/// int32_t
/// </summary>
[pbr::OriginalName("INT32")] Int32 = 6,
/// <summary>
/// int64_t
/// </summary>
[pbr::OriginalName("INT64")] Int64 = 7,
/// <summary>
/// string
/// </summary>
[pbr::OriginalName("STRING")] String = 8,
/// <summary>
/// bool
/// </summary>
[pbr::OriginalName("BOOL")] Bool = 9,
/// <summary>
/// IEEE754 half-precision floating-point format (16 bits wide).
/// This format has 1 sign bit, 5 exponent bits, and 10 mantissa bits.
/// </summary>
[pbr::OriginalName("FLOAT16")] Float16 = 10,
[pbr::OriginalName("DOUBLE")] Double = 11,
[pbr::OriginalName("UINT32")] Uint32 = 12,
[pbr::OriginalName("UINT64")] Uint64 = 13,
/// <summary>
/// complex with float32 real and imaginary components
/// </summary>
[pbr::OriginalName("COMPLEX64")] Complex64 = 14,
/// <summary>
/// complex with float64 real and imaginary components
/// </summary>
[pbr::OriginalName("COMPLEX128")] Complex128 = 15,
/// <summary>
/// Non-IEEE floating-point format based on IEEE754 single-precision
/// floating-point number truncated to 16 bits.
/// This format has 1 sign bit, 8 exponent bits, and 7 mantissa bits.
/// </summary>
[pbr::OriginalName("BFLOAT16")] Bfloat16 = 16,
}
/// <summary>
/// Location of the data for this tensor. MUST be one of:
/// - DEFAULT - data stored inside the protobuf message. Data is stored in raw_data (if set) otherwise in type-specified field.
/// - EXTERNAL - data stored in an external location as described by external_data field.
/// </summary>
public enum DataLocation
{
[pbr::OriginalName("DEFAULT")] Default = 0,
[pbr::OriginalName("EXTERNAL")] External = 1,
}
/// <summary>
/// For very large tensors, we may want to store them in chunks, in which
/// case the following fields will specify the segment that is stored in
/// the current TensorProto.
/// </summary>
public sealed partial class Segment : pb::IMessage<Segment>
{
private static readonly pb::MessageParser<Segment> _parser = new pb::MessageParser<Segment>(() => new Segment());
private pb::UnknownFieldSet _unknownFields;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pb::MessageParser<Segment> Parser { get { return _parser; } }
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pbr::MessageDescriptor Descriptor
{
get { return global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto.Descriptor.NestedTypes[0]; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
pbr::MessageDescriptor pb::IMessage.Descriptor
{
get { return Descriptor; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public Segment()
{
OnConstruction();
}
partial void OnConstruction();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public Segment(Segment other) : this()
{
begin_ = other.begin_;
end_ = other.end_;
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public Segment Clone()
{
return new Segment(this);
}
/// <summary>Field number for the "begin" field.</summary>
public const int BeginFieldNumber = 1;
private long begin_;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public long Begin
{
get { return begin_; }
set
{
begin_ = value;
}
}
/// <summary>Field number for the "end" field.</summary>
public const int EndFieldNumber = 2;
private long end_;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public long End
{
get { return end_; }
set
{
end_ = value;
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override bool Equals(object other)
{
return Equals(other as Segment);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool Equals(Segment other)
{
if (ReferenceEquals(other, null))
{
return false;
}
if (ReferenceEquals(other, this))
{
return true;
}
if (Begin != other.Begin) return false;
if (End != other.End) return false;
return Equals(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override int GetHashCode()
{
int hash = 1;
if (Begin != 0L) hash ^= Begin.GetHashCode();
if (End != 0L) hash ^= End.GetHashCode();
if (_unknownFields != null)
{
hash ^= _unknownFields.GetHashCode();
}
return hash;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override string ToString()
{
return pb::JsonFormatter.ToDiagnosticString(this);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void WriteTo(pb::CodedOutputStream output)
{
if (Begin != 0L)
{
output.WriteRawTag(8);
output.WriteInt64(Begin);
}
if (End != 0L)
{
output.WriteRawTag(16);
output.WriteInt64(End);
}
if (_unknownFields != null)
{
_unknownFields.WriteTo(output);
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int CalculateSize()
{
int size = 0;
if (Begin != 0L)
{
size += 1 + pb::CodedOutputStream.ComputeInt64Size(Begin);
}
if (End != 0L)
{
size += 1 + pb::CodedOutputStream.ComputeInt64Size(End);
}
if (_unknownFields != null)
{
size += _unknownFields.CalculateSize();
}
return size;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(Segment other)
{
if (other == null)
{
return;
}
if (other.Begin != 0L)
{
Begin = other.Begin;
}
if (other.End != 0L)
{
End = other.End;
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 8:
{
Begin = input.ReadInt64();
break;
}
case 16:
{
End = input.ReadInt64();
break;
}
}
}
}
}
}
#endregion
}
/// <summary>
/// A serialized sparse-tensor value
/// </summary>
public sealed partial class SparseTensorProto : pb::IMessage<SparseTensorProto>
{
private static readonly pb::MessageParser<SparseTensorProto> _parser = new pb::MessageParser<SparseTensorProto>(() => new SparseTensorProto());
private pb::UnknownFieldSet _unknownFields;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pb::MessageParser<SparseTensorProto> Parser { get { return _parser; } }
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pbr::MessageDescriptor Descriptor
{
get { return global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.OnnxMlReflection.Descriptor.MessageTypes[8]; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
pbr::MessageDescriptor pb::IMessage.Descriptor
{
get { return Descriptor; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public SparseTensorProto()
{
OnConstruction();
}
partial void OnConstruction();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public SparseTensorProto(SparseTensorProto other) : this()
{
values_ = other.values_ != null ? other.values_.Clone() : null;
indices_ = other.indices_ != null ? other.indices_.Clone() : null;
dims_ = other.dims_.Clone();
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public SparseTensorProto Clone()
{
return new SparseTensorProto(this);
}
/// <summary>Field number for the "values" field.</summary>
public const int ValuesFieldNumber = 1;
private global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto values_;
/// <summary>
/// The sequence of non-default values are encoded as a tensor of shape [NNZ].
/// The default-value is zero for numeric tensors, and empty-string for string tensors.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto Values
{
get { return values_; }
set
{
values_ = value;
}
}
/// <summary>Field number for the "indices" field.</summary>
public const int IndicesFieldNumber = 2;
private global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto indices_;
/// <summary>
/// The indices of the non-default values, which may be stored in one of two formats.
/// (a) Indices can be a tensor of shape [NNZ, rank] with the [i,j]-th value
/// corresponding to the j-th index of the i-th value (in the values tensor).
/// (b) Indices can be a tensor of shape [NNZ], in which case the i-th value
/// must be the linearized-index of the i-th value (in the values tensor).
/// The linearized-index can be converted into an index tuple (k_1,...,k_rank)
/// using the shape provided below.
/// The indices must appear in ascending order without duplication.
/// In the first format, the ordering is lexicographic-ordering:
/// e.g., index-value [1,4] must appear before [2,1]
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto Indices
{
get { return indices_; }
set
{
indices_ = value;
}
}
/// <summary>Field number for the "dims" field.</summary>
public const int DimsFieldNumber = 3;
private static readonly pb::FieldCodec<long> _repeated_dims_codec
= pb::FieldCodec.ForInt64(26);
private readonly pbc::RepeatedField<long> dims_ = new pbc::RepeatedField<long>();
/// <summary>
/// The shape of the underlying dense-tensor: [dim_1, dim_2, ... dim_rank]
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<long> Dims
{
get { return dims_; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override bool Equals(object other)
{
return Equals(other as SparseTensorProto);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool Equals(SparseTensorProto other)
{
if (ReferenceEquals(other, null))
{
return false;
}
if (ReferenceEquals(other, this))
{
return true;
}
if (!object.Equals(Values, other.Values)) return false;
if (!object.Equals(Indices, other.Indices)) return false;
if (!dims_.Equals(other.dims_)) return false;
return Equals(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override int GetHashCode()
{
int hash = 1;
if (values_ != null) hash ^= Values.GetHashCode();
if (indices_ != null) hash ^= Indices.GetHashCode();
hash ^= dims_.GetHashCode();
if (_unknownFields != null)
{
hash ^= _unknownFields.GetHashCode();
}
return hash;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override string ToString()
{
return pb::JsonFormatter.ToDiagnosticString(this);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void WriteTo(pb::CodedOutputStream output)
{
if (values_ != null)
{
output.WriteRawTag(10);
output.WriteMessage(Values);
}
if (indices_ != null)
{
output.WriteRawTag(18);
output.WriteMessage(Indices);
}
dims_.WriteTo(output, _repeated_dims_codec);
if (_unknownFields != null)
{
_unknownFields.WriteTo(output);
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int CalculateSize()
{
int size = 0;
if (values_ != null)
{
size += 1 + pb::CodedOutputStream.ComputeMessageSize(Values);
}
if (indices_ != null)
{
size += 1 + pb::CodedOutputStream.ComputeMessageSize(Indices);
}
size += dims_.CalculateSize(_repeated_dims_codec);
if (_unknownFields != null)
{
size += _unknownFields.CalculateSize();
}
return size;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(SparseTensorProto other)
{
if (other == null)
{
return;
}
if (other.values_ != null)
{
if (values_ == null)
{
Values = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto();
}
Values.MergeFrom(other.Values);
}
if (other.indices_ != null)
{
if (indices_ == null)
{
Indices = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto();
}
Indices.MergeFrom(other.Indices);
}
dims_.Add(other.dims_);
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 10:
{
if (values_ == null)
{
Values = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto();
}
input.ReadMessage(Values);
break;
}
case 18:
{
if (indices_ == null)
{
Indices = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto();
}
input.ReadMessage(Indices);
break;
}
case 26:
case 24:
{
dims_.AddEntriesFrom(input, _repeated_dims_codec);
break;
}
}
}
}
}
/// <summary>
/// Defines a tensor shape. A dimension can be either an integer value
/// or a symbolic variable. A symbolic variable represents an unknown
/// dimension.
/// </summary>
public sealed partial class TensorShapeProto : pb::IMessage<TensorShapeProto>
{
private static readonly pb::MessageParser<TensorShapeProto> _parser = new pb::MessageParser<TensorShapeProto>(() => new TensorShapeProto());
private pb::UnknownFieldSet _unknownFields;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pb::MessageParser<TensorShapeProto> Parser { get { return _parser; } }
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pbr::MessageDescriptor Descriptor
{
get { return global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.OnnxMlReflection.Descriptor.MessageTypes[9]; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
pbr::MessageDescriptor pb::IMessage.Descriptor
{
get { return Descriptor; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public TensorShapeProto()
{
OnConstruction();
}
partial void OnConstruction();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public TensorShapeProto(TensorShapeProto other) : this()
{
dim_ = other.dim_.Clone();
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public TensorShapeProto Clone()
{
return new TensorShapeProto(this);
}
/// <summary>Field number for the "dim" field.</summary>
public const int DimFieldNumber = 1;
private static readonly pb::FieldCodec<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorShapeProto.Types.Dimension> _repeated_dim_codec
= pb::FieldCodec.ForMessage(10, global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorShapeProto.Types.Dimension.Parser);
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>();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public pbc::RepeatedField<global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorShapeProto.Types.Dimension> Dim
{
get { return dim_; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override bool Equals(object other)
{
return Equals(other as TensorShapeProto);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool Equals(TensorShapeProto other)
{
if (ReferenceEquals(other, null))
{
return false;
}
if (ReferenceEquals(other, this))
{
return true;
}
if (!dim_.Equals(other.dim_)) return false;
return Equals(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override int GetHashCode()
{
int hash = 1;
hash ^= dim_.GetHashCode();
if (_unknownFields != null)
{
hash ^= _unknownFields.GetHashCode();
}
return hash;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override string ToString()
{
return pb::JsonFormatter.ToDiagnosticString(this);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void WriteTo(pb::CodedOutputStream output)
{
dim_.WriteTo(output, _repeated_dim_codec);
if (_unknownFields != null)
{
_unknownFields.WriteTo(output);
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int CalculateSize()
{
int size = 0;
size += dim_.CalculateSize(_repeated_dim_codec);
if (_unknownFields != null)
{
size += _unknownFields.CalculateSize();
}
return size;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(TensorShapeProto other)
{
if (other == null)
{
return;
}
dim_.Add(other.dim_);
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 10:
{
dim_.AddEntriesFrom(input, _repeated_dim_codec);
break;
}
}
}
}
#region Nested types
/// <summary>Container for nested types declared in the TensorShapeProto message type.</summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static partial class Types
{
public sealed partial class Dimension : pb::IMessage<Dimension>
{
private static readonly pb::MessageParser<Dimension> _parser = new pb::MessageParser<Dimension>(() => new Dimension());
private pb::UnknownFieldSet _unknownFields;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pb::MessageParser<Dimension> Parser { get { return _parser; } }
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pbr::MessageDescriptor Descriptor
{
get { return global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorShapeProto.Descriptor.NestedTypes[0]; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
pbr::MessageDescriptor pb::IMessage.Descriptor
{
get { return Descriptor; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public Dimension()
{
OnConstruction();
}
partial void OnConstruction();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public Dimension(Dimension other) : this()
{
denotation_ = other.denotation_;
switch (other.ValueCase)
{
case ValueOneofCase.DimValue:
DimValue = other.DimValue;
break;
case ValueOneofCase.DimParam:
DimParam = other.DimParam;
break;
}
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public Dimension Clone()
{
return new Dimension(this);
}
/// <summary>Field number for the "dim_value" field.</summary>
public const int DimValueFieldNumber = 1;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public long DimValue
{
get { return valueCase_ == ValueOneofCase.DimValue ? (long)value_ : 0L; }
set
{
value_ = value;
valueCase_ = ValueOneofCase.DimValue;
}
}
/// <summary>Field number for the "dim_param" field.</summary>
public const int DimParamFieldNumber = 2;
/// <summary>
/// namespace Shape
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string DimParam
{
get { return valueCase_ == ValueOneofCase.DimParam ? (string)value_ : ""; }
set
{
value_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
valueCase_ = ValueOneofCase.DimParam;
}
}
/// <summary>Field number for the "denotation" field.</summary>
public const int DenotationFieldNumber = 3;
private string denotation_ = "";
/// <summary>
/// Standard denotation can optionally be used to denote tensor
/// dimensions with standard semantic descriptions to ensure
/// that operations are applied to the correct axis of a tensor.
/// Refer to https://github.com/onnx/onnx/blob/master/docs/DimensionDenotation.md#denotation-definition
/// for pre-defined dimension denotations.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string Denotation
{
get { return denotation_; }
set
{
denotation_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
private object value_;
/// <summary>Enum of possible cases for the "value" oneof.</summary>
public enum ValueOneofCase
{
None = 0,
DimValue = 1,
DimParam = 2,
}
private ValueOneofCase valueCase_ = ValueOneofCase.None;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public ValueOneofCase ValueCase
{
get { return valueCase_; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void ClearValue()
{
valueCase_ = ValueOneofCase.None;
value_ = null;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override bool Equals(object other)
{
return Equals(other as Dimension);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool Equals(Dimension other)
{
if (ReferenceEquals(other, null))
{
return false;
}
if (ReferenceEquals(other, this))
{
return true;
}
if (DimValue != other.DimValue) return false;
if (DimParam != other.DimParam) return false;
if (Denotation != other.Denotation) return false;
if (ValueCase != other.ValueCase) return false;
return Equals(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override int GetHashCode()
{
int hash = 1;
if (valueCase_ == ValueOneofCase.DimValue) hash ^= DimValue.GetHashCode();
if (valueCase_ == ValueOneofCase.DimParam) hash ^= DimParam.GetHashCode();
if (Denotation.Length != 0) hash ^= Denotation.GetHashCode();
hash ^= (int)valueCase_;
if (_unknownFields != null)
{
hash ^= _unknownFields.GetHashCode();
}
return hash;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override string ToString()
{
return pb::JsonFormatter.ToDiagnosticString(this);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void WriteTo(pb::CodedOutputStream output)
{
if (valueCase_ == ValueOneofCase.DimValue)
{
output.WriteRawTag(8);
output.WriteInt64(DimValue);
}
if (valueCase_ == ValueOneofCase.DimParam)
{
output.WriteRawTag(18);
output.WriteString(DimParam);
}
if (Denotation.Length != 0)
{
output.WriteRawTag(26);
output.WriteString(Denotation);
}
if (_unknownFields != null)
{
_unknownFields.WriteTo(output);
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int CalculateSize()
{
int size = 0;
if (valueCase_ == ValueOneofCase.DimValue)
{
size += 1 + pb::CodedOutputStream.ComputeInt64Size(DimValue);
}
if (valueCase_ == ValueOneofCase.DimParam)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(DimParam);
}
if (Denotation.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(Denotation);
}
if (_unknownFields != null)
{
size += _unknownFields.CalculateSize();
}
return size;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(Dimension other)
{
if (other == null)
{
return;
}
if (other.Denotation.Length != 0)
{
Denotation = other.Denotation;
}
switch (other.ValueCase)
{
case ValueOneofCase.DimValue:
DimValue = other.DimValue;
break;
case ValueOneofCase.DimParam:
DimParam = other.DimParam;
break;
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 8:
{
DimValue = input.ReadInt64();
break;
}
case 18:
{
DimParam = input.ReadString();
break;
}
case 26:
{
Denotation = input.ReadString();
break;
}
}
}
}
}
}
#endregion
}
/// <summary>
/// Types
///
/// The standard ONNX data types.
/// </summary>
public sealed partial class TypeProto : pb::IMessage<TypeProto>
{
private static readonly pb::MessageParser<TypeProto> _parser = new pb::MessageParser<TypeProto>(() => new TypeProto());
private pb::UnknownFieldSet _unknownFields;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pb::MessageParser<TypeProto> Parser { get { return _parser; } }
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pbr::MessageDescriptor Descriptor
{
get { return global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.OnnxMlReflection.Descriptor.MessageTypes[10]; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
pbr::MessageDescriptor pb::IMessage.Descriptor
{
get { return Descriptor; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public TypeProto()
{
OnConstruction();
}
partial void OnConstruction();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public TypeProto(TypeProto other) : this()
{
denotation_ = other.denotation_;
switch (other.ValueCase)
{
case ValueOneofCase.TensorType:
TensorType = other.TensorType.Clone();
break;
case ValueOneofCase.SequenceType:
SequenceType = other.SequenceType.Clone();
break;
case ValueOneofCase.MapType:
MapType = other.MapType.Clone();
break;
case ValueOneofCase.SparseTensorType:
SparseTensorType = other.SparseTensorType.Clone();
break;
case ValueOneofCase.OpaqueType:
OpaqueType = other.OpaqueType.Clone();
break;
}
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public TypeProto Clone()
{
return new TypeProto(this);
}
/// <summary>Field number for the "tensor_type" field.</summary>
public const int TensorTypeFieldNumber = 1;
/// <summary>
/// The type of a tensor.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Tensor TensorType
{
get { return valueCase_ == ValueOneofCase.TensorType ? (global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Tensor)value_ : null; }
set
{
value_ = value;
valueCase_ = value == null ? ValueOneofCase.None : ValueOneofCase.TensorType;
}
}
/// <summary>Field number for the "sequence_type" field.</summary>
public const int SequenceTypeFieldNumber = 4;
/// <summary>
/// The type of a sequence.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Sequence SequenceType
{
get { return valueCase_ == ValueOneofCase.SequenceType ? (global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Sequence)value_ : null; }
set
{
value_ = value;
valueCase_ = value == null ? ValueOneofCase.None : ValueOneofCase.SequenceType;
}
}
/// <summary>Field number for the "map_type" field.</summary>
public const int MapTypeFieldNumber = 5;
/// <summary>
/// The type of a map.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Map MapType
{
get { return valueCase_ == ValueOneofCase.MapType ? (global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Map)value_ : null; }
set
{
value_ = value;
valueCase_ = value == null ? ValueOneofCase.None : ValueOneofCase.MapType;
}
}
/// <summary>Field number for the "sparse_tensor_type" field.</summary>
public const int SparseTensorTypeFieldNumber = 8;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.SparseTensor SparseTensorType
{
get { return valueCase_ == ValueOneofCase.SparseTensorType ? (global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.SparseTensor)value_ : null; }
set
{
value_ = value;
valueCase_ = value == null ? ValueOneofCase.None : ValueOneofCase.SparseTensorType;
}
}
/// <summary>Field number for the "opaque_type" field.</summary>
public const int OpaqueTypeFieldNumber = 7;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Opaque OpaqueType
{
get { return valueCase_ == ValueOneofCase.OpaqueType ? (global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Opaque)value_ : null; }
set
{
value_ = value;
valueCase_ = value == null ? ValueOneofCase.None : ValueOneofCase.OpaqueType;
}
}
/// <summary>Field number for the "denotation" field.</summary>
public const int DenotationFieldNumber = 6;
private string denotation_ = "";
/// <summary>
/// An optional denotation can be used to denote the whole
/// type with a standard semantic description as to what is
/// stored inside. Refer to https://github.com/onnx/onnx/blob/master/docs/TypeDenotation.md#type-denotation-definition
/// for pre-defined type denotations.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string Denotation
{
get { return denotation_; }
set
{
denotation_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
private object value_;
/// <summary>Enum of possible cases for the "value" oneof.</summary>
public enum ValueOneofCase
{
None = 0,
TensorType = 1,
SequenceType = 4,
MapType = 5,
SparseTensorType = 8,
OpaqueType = 7,
}
private ValueOneofCase valueCase_ = ValueOneofCase.None;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public ValueOneofCase ValueCase
{
get { return valueCase_; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void ClearValue()
{
valueCase_ = ValueOneofCase.None;
value_ = null;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override bool Equals(object other)
{
return Equals(other as TypeProto);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool Equals(TypeProto other)
{
if (ReferenceEquals(other, null))
{
return false;
}
if (ReferenceEquals(other, this))
{
return true;
}
if (!object.Equals(TensorType, other.TensorType)) return false;
if (!object.Equals(SequenceType, other.SequenceType)) return false;
if (!object.Equals(MapType, other.MapType)) return false;
if (!object.Equals(SparseTensorType, other.SparseTensorType)) return false;
if (!object.Equals(OpaqueType, other.OpaqueType)) return false;
if (Denotation != other.Denotation) return false;
if (ValueCase != other.ValueCase) return false;
return Equals(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override int GetHashCode()
{
int hash = 1;
if (valueCase_ == ValueOneofCase.TensorType) hash ^= TensorType.GetHashCode();
if (valueCase_ == ValueOneofCase.SequenceType) hash ^= SequenceType.GetHashCode();
if (valueCase_ == ValueOneofCase.MapType) hash ^= MapType.GetHashCode();
if (valueCase_ == ValueOneofCase.SparseTensorType) hash ^= SparseTensorType.GetHashCode();
if (valueCase_ == ValueOneofCase.OpaqueType) hash ^= OpaqueType.GetHashCode();
if (Denotation.Length != 0) hash ^= Denotation.GetHashCode();
hash ^= (int)valueCase_;
if (_unknownFields != null)
{
hash ^= _unknownFields.GetHashCode();
}
return hash;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override string ToString()
{
return pb::JsonFormatter.ToDiagnosticString(this);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void WriteTo(pb::CodedOutputStream output)
{
if (valueCase_ == ValueOneofCase.TensorType)
{
output.WriteRawTag(10);
output.WriteMessage(TensorType);
}
if (valueCase_ == ValueOneofCase.SequenceType)
{
output.WriteRawTag(34);
output.WriteMessage(SequenceType);
}
if (valueCase_ == ValueOneofCase.MapType)
{
output.WriteRawTag(42);
output.WriteMessage(MapType);
}
if (Denotation.Length != 0)
{
output.WriteRawTag(50);
output.WriteString(Denotation);
}
if (valueCase_ == ValueOneofCase.OpaqueType)
{
output.WriteRawTag(58);
output.WriteMessage(OpaqueType);
}
if (valueCase_ == ValueOneofCase.SparseTensorType)
{
output.WriteRawTag(66);
output.WriteMessage(SparseTensorType);
}
if (_unknownFields != null)
{
_unknownFields.WriteTo(output);
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int CalculateSize()
{
int size = 0;
if (valueCase_ == ValueOneofCase.TensorType)
{
size += 1 + pb::CodedOutputStream.ComputeMessageSize(TensorType);
}
if (valueCase_ == ValueOneofCase.SequenceType)
{
size += 1 + pb::CodedOutputStream.ComputeMessageSize(SequenceType);
}
if (valueCase_ == ValueOneofCase.MapType)
{
size += 1 + pb::CodedOutputStream.ComputeMessageSize(MapType);
}
if (valueCase_ == ValueOneofCase.SparseTensorType)
{
size += 1 + pb::CodedOutputStream.ComputeMessageSize(SparseTensorType);
}
if (valueCase_ == ValueOneofCase.OpaqueType)
{
size += 1 + pb::CodedOutputStream.ComputeMessageSize(OpaqueType);
}
if (Denotation.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(Denotation);
}
if (_unknownFields != null)
{
size += _unknownFields.CalculateSize();
}
return size;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(TypeProto other)
{
if (other == null)
{
return;
}
if (other.Denotation.Length != 0)
{
Denotation = other.Denotation;
}
switch (other.ValueCase)
{
case ValueOneofCase.TensorType:
if (TensorType == null)
{
TensorType = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Tensor();
}
TensorType.MergeFrom(other.TensorType);
break;
case ValueOneofCase.SequenceType:
if (SequenceType == null)
{
SequenceType = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Sequence();
}
SequenceType.MergeFrom(other.SequenceType);
break;
case ValueOneofCase.MapType:
if (MapType == null)
{
MapType = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Map();
}
MapType.MergeFrom(other.MapType);
break;
case ValueOneofCase.SparseTensorType:
if (SparseTensorType == null)
{
SparseTensorType = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.SparseTensor();
}
SparseTensorType.MergeFrom(other.SparseTensorType);
break;
case ValueOneofCase.OpaqueType:
if (OpaqueType == null)
{
OpaqueType = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Opaque();
}
OpaqueType.MergeFrom(other.OpaqueType);
break;
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 10:
{
global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Tensor subBuilder = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Tensor();
if (valueCase_ == ValueOneofCase.TensorType)
{
subBuilder.MergeFrom(TensorType);
}
input.ReadMessage(subBuilder);
TensorType = subBuilder;
break;
}
case 34:
{
global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Sequence subBuilder = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Sequence();
if (valueCase_ == ValueOneofCase.SequenceType)
{
subBuilder.MergeFrom(SequenceType);
}
input.ReadMessage(subBuilder);
SequenceType = subBuilder;
break;
}
case 42:
{
global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Map subBuilder = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Map();
if (valueCase_ == ValueOneofCase.MapType)
{
subBuilder.MergeFrom(MapType);
}
input.ReadMessage(subBuilder);
MapType = subBuilder;
break;
}
case 50:
{
Denotation = input.ReadString();
break;
}
case 58:
{
global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Opaque subBuilder = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Opaque();
if (valueCase_ == ValueOneofCase.OpaqueType)
{
subBuilder.MergeFrom(OpaqueType);
}
input.ReadMessage(subBuilder);
OpaqueType = subBuilder;
break;
}
case 66:
{
global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.SparseTensor subBuilder = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.SparseTensor();
if (valueCase_ == ValueOneofCase.SparseTensorType)
{
subBuilder.MergeFrom(SparseTensorType);
}
input.ReadMessage(subBuilder);
SparseTensorType = subBuilder;
break;
}
}
}
}
#region Nested types
/// <summary>Container for nested types declared in the TypeProto message type.</summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static partial class Types
{
public sealed partial class Tensor : pb::IMessage<Tensor>
{
private static readonly pb::MessageParser<Tensor> _parser = new pb::MessageParser<Tensor>(() => new Tensor());
private pb::UnknownFieldSet _unknownFields;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pb::MessageParser<Tensor> Parser { get { return _parser; } }
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pbr::MessageDescriptor Descriptor
{
get { return global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Descriptor.NestedTypes[0]; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
pbr::MessageDescriptor pb::IMessage.Descriptor
{
get { return Descriptor; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public Tensor()
{
OnConstruction();
}
partial void OnConstruction();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public Tensor(Tensor other) : this()
{
elemType_ = other.elemType_;
shape_ = other.shape_ != null ? other.shape_.Clone() : null;
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public Tensor Clone()
{
return new Tensor(this);
}
/// <summary>Field number for the "elem_type" field.</summary>
public const int ElemTypeFieldNumber = 1;
private int elemType_;
/// <summary>
/// This field MUST NOT have the value of UNDEFINED
/// This field MUST have a valid TensorProto.DataType value
/// This field MUST be present for this version of the IR.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int ElemType
{
get { return elemType_; }
set
{
elemType_ = value;
}
}
/// <summary>Field number for the "shape" field.</summary>
public const int ShapeFieldNumber = 2;
private global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorShapeProto shape_;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorShapeProto Shape
{
get { return shape_; }
set
{
shape_ = value;
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override bool Equals(object other)
{
return Equals(other as Tensor);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool Equals(Tensor other)
{
if (ReferenceEquals(other, null))
{
return false;
}
if (ReferenceEquals(other, this))
{
return true;
}
if (ElemType != other.ElemType) return false;
if (!object.Equals(Shape, other.Shape)) return false;
return Equals(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override int GetHashCode()
{
int hash = 1;
if (ElemType != 0) hash ^= ElemType.GetHashCode();
if (shape_ != null) hash ^= Shape.GetHashCode();
if (_unknownFields != null)
{
hash ^= _unknownFields.GetHashCode();
}
return hash;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override string ToString()
{
return pb::JsonFormatter.ToDiagnosticString(this);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void WriteTo(pb::CodedOutputStream output)
{
if (ElemType != 0)
{
output.WriteRawTag(8);
output.WriteInt32(ElemType);
}
if (shape_ != null)
{
output.WriteRawTag(18);
output.WriteMessage(Shape);
}
if (_unknownFields != null)
{
_unknownFields.WriteTo(output);
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int CalculateSize()
{
int size = 0;
if (ElemType != 0)
{
size += 1 + pb::CodedOutputStream.ComputeInt32Size(ElemType);
}
if (shape_ != null)
{
size += 1 + pb::CodedOutputStream.ComputeMessageSize(Shape);
}
if (_unknownFields != null)
{
size += _unknownFields.CalculateSize();
}
return size;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(Tensor other)
{
if (other == null)
{
return;
}
if (other.ElemType != 0)
{
ElemType = other.ElemType;
}
if (other.shape_ != null)
{
if (shape_ == null)
{
Shape = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorShapeProto();
}
Shape.MergeFrom(other.Shape);
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 8:
{
ElemType = input.ReadInt32();
break;
}
case 18:
{
if (shape_ == null)
{
Shape = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorShapeProto();
}
input.ReadMessage(Shape);
break;
}
}
}
}
}
/// <summary>
/// repeated T
/// </summary>
public sealed partial class Sequence : pb::IMessage<Sequence>
{
private static readonly pb::MessageParser<Sequence> _parser = new pb::MessageParser<Sequence>(() => new Sequence());
private pb::UnknownFieldSet _unknownFields;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pb::MessageParser<Sequence> Parser { get { return _parser; } }
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pbr::MessageDescriptor Descriptor
{
get { return global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Descriptor.NestedTypes[1]; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
pbr::MessageDescriptor pb::IMessage.Descriptor
{
get { return Descriptor; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public Sequence()
{
OnConstruction();
}
partial void OnConstruction();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public Sequence(Sequence other) : this()
{
elemType_ = other.elemType_ != null ? other.elemType_.Clone() : null;
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public Sequence Clone()
{
return new Sequence(this);
}
/// <summary>Field number for the "elem_type" field.</summary>
public const int ElemTypeFieldNumber = 1;
private global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto elemType_;
/// <summary>
/// The type and optional shape of each element of the sequence.
/// This field MUST be present for this version of the IR.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto ElemType
{
get { return elemType_; }
set
{
elemType_ = value;
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override bool Equals(object other)
{
return Equals(other as Sequence);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool Equals(Sequence other)
{
if (ReferenceEquals(other, null))
{
return false;
}
if (ReferenceEquals(other, this))
{
return true;
}
if (!object.Equals(ElemType, other.ElemType)) return false;
return Equals(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override int GetHashCode()
{
int hash = 1;
if (elemType_ != null) hash ^= ElemType.GetHashCode();
if (_unknownFields != null)
{
hash ^= _unknownFields.GetHashCode();
}
return hash;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override string ToString()
{
return pb::JsonFormatter.ToDiagnosticString(this);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void WriteTo(pb::CodedOutputStream output)
{
if (elemType_ != null)
{
output.WriteRawTag(10);
output.WriteMessage(ElemType);
}
if (_unknownFields != null)
{
_unknownFields.WriteTo(output);
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int CalculateSize()
{
int size = 0;
if (elemType_ != null)
{
size += 1 + pb::CodedOutputStream.ComputeMessageSize(ElemType);
}
if (_unknownFields != null)
{
size += _unknownFields.CalculateSize();
}
return size;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(Sequence other)
{
if (other == null)
{
return;
}
if (other.elemType_ != null)
{
if (elemType_ == null)
{
ElemType = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto();
}
ElemType.MergeFrom(other.ElemType);
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 10:
{
if (elemType_ == null)
{
ElemType = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto();
}
input.ReadMessage(ElemType);
break;
}
}
}
}
}
/// <summary>
/// map<K,V>
/// </summary>
public sealed partial class Map : pb::IMessage<Map>
{
private static readonly pb::MessageParser<Map> _parser = new pb::MessageParser<Map>(() => new Map());
private pb::UnknownFieldSet _unknownFields;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pb::MessageParser<Map> Parser { get { return _parser; } }
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pbr::MessageDescriptor Descriptor
{
get { return global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Descriptor.NestedTypes[2]; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
pbr::MessageDescriptor pb::IMessage.Descriptor
{
get { return Descriptor; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public Map()
{
OnConstruction();
}
partial void OnConstruction();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public Map(Map other) : this()
{
keyType_ = other.keyType_;
valueType_ = other.valueType_ != null ? other.valueType_.Clone() : null;
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public Map Clone()
{
return new Map(this);
}
/// <summary>Field number for the "key_type" field.</summary>
public const int KeyTypeFieldNumber = 1;
private int keyType_;
/// <summary>
/// This field MUST have a valid TensorProto.DataType value
/// This field MUST be present for this version of the IR.
/// This field MUST refer to an integral type ([U]INT{8|16|32|64}) or STRING
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int KeyType
{
get { return keyType_; }
set
{
keyType_ = value;
}
}
/// <summary>Field number for the "value_type" field.</summary>
public const int ValueTypeFieldNumber = 2;
private global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto valueType_;
/// <summary>
/// This field MUST be present for this version of the IR.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto ValueType
{
get { return valueType_; }
set
{
valueType_ = value;
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override bool Equals(object other)
{
return Equals(other as Map);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool Equals(Map other)
{
if (ReferenceEquals(other, null))
{
return false;
}
if (ReferenceEquals(other, this))
{
return true;
}
if (KeyType != other.KeyType) return false;
if (!object.Equals(ValueType, other.ValueType)) return false;
return Equals(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override int GetHashCode()
{
int hash = 1;
if (KeyType != 0) hash ^= KeyType.GetHashCode();
if (valueType_ != null) hash ^= ValueType.GetHashCode();
if (_unknownFields != null)
{
hash ^= _unknownFields.GetHashCode();
}
return hash;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override string ToString()
{
return pb::JsonFormatter.ToDiagnosticString(this);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void WriteTo(pb::CodedOutputStream output)
{
if (KeyType != 0)
{
output.WriteRawTag(8);
output.WriteInt32(KeyType);
}
if (valueType_ != null)
{
output.WriteRawTag(18);
output.WriteMessage(ValueType);
}
if (_unknownFields != null)
{
_unknownFields.WriteTo(output);
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int CalculateSize()
{
int size = 0;
if (KeyType != 0)
{
size += 1 + pb::CodedOutputStream.ComputeInt32Size(KeyType);
}
if (valueType_ != null)
{
size += 1 + pb::CodedOutputStream.ComputeMessageSize(ValueType);
}
if (_unknownFields != null)
{
size += _unknownFields.CalculateSize();
}
return size;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(Map other)
{
if (other == null)
{
return;
}
if (other.KeyType != 0)
{
KeyType = other.KeyType;
}
if (other.valueType_ != null)
{
if (valueType_ == null)
{
ValueType = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto();
}
ValueType.MergeFrom(other.ValueType);
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 8:
{
KeyType = input.ReadInt32();
break;
}
case 18:
{
if (valueType_ == null)
{
ValueType = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto();
}
input.ReadMessage(ValueType);
break;
}
}
}
}
}
public sealed partial class SparseTensor : pb::IMessage<SparseTensor>
{
private static readonly pb::MessageParser<SparseTensor> _parser = new pb::MessageParser<SparseTensor>(() => new SparseTensor());
private pb::UnknownFieldSet _unknownFields;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pb::MessageParser<SparseTensor> Parser { get { return _parser; } }
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pbr::MessageDescriptor Descriptor
{
get { return global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Descriptor.NestedTypes[3]; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
pbr::MessageDescriptor pb::IMessage.Descriptor
{
get { return Descriptor; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public SparseTensor()
{
OnConstruction();
}
partial void OnConstruction();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public SparseTensor(SparseTensor other) : this()
{
elemType_ = other.elemType_;
shape_ = other.shape_ != null ? other.shape_.Clone() : null;
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public SparseTensor Clone()
{
return new SparseTensor(this);
}
/// <summary>Field number for the "elem_type" field.</summary>
public const int ElemTypeFieldNumber = 1;
private int elemType_;
/// <summary>
/// This field MUST NOT have the value of UNDEFINED
/// This field MUST have a valid TensorProto.DataType value
/// This field MUST be present for this version of the IR.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int ElemType
{
get { return elemType_; }
set
{
elemType_ = value;
}
}
/// <summary>Field number for the "shape" field.</summary>
public const int ShapeFieldNumber = 2;
private global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorShapeProto shape_;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorShapeProto Shape
{
get { return shape_; }
set
{
shape_ = value;
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override bool Equals(object other)
{
return Equals(other as SparseTensor);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool Equals(SparseTensor other)
{
if (ReferenceEquals(other, null))
{
return false;
}
if (ReferenceEquals(other, this))
{
return true;
}
if (ElemType != other.ElemType) return false;
if (!object.Equals(Shape, other.Shape)) return false;
return Equals(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override int GetHashCode()
{
int hash = 1;
if (ElemType != 0) hash ^= ElemType.GetHashCode();
if (shape_ != null) hash ^= Shape.GetHashCode();
if (_unknownFields != null)
{
hash ^= _unknownFields.GetHashCode();
}
return hash;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override string ToString()
{
return pb::JsonFormatter.ToDiagnosticString(this);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void WriteTo(pb::CodedOutputStream output)
{
if (ElemType != 0)
{
output.WriteRawTag(8);
output.WriteInt32(ElemType);
}
if (shape_ != null)
{
output.WriteRawTag(18);
output.WriteMessage(Shape);
}
if (_unknownFields != null)
{
_unknownFields.WriteTo(output);
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int CalculateSize()
{
int size = 0;
if (ElemType != 0)
{
size += 1 + pb::CodedOutputStream.ComputeInt32Size(ElemType);
}
if (shape_ != null)
{
size += 1 + pb::CodedOutputStream.ComputeMessageSize(Shape);
}
if (_unknownFields != null)
{
size += _unknownFields.CalculateSize();
}
return size;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(SparseTensor other)
{
if (other == null)
{
return;
}
if (other.ElemType != 0)
{
ElemType = other.ElemType;
}
if (other.shape_ != null)
{
if (shape_ == null)
{
Shape = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorShapeProto();
}
Shape.MergeFrom(other.Shape);
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 8:
{
ElemType = input.ReadInt32();
break;
}
case 18:
{
if (shape_ == null)
{
Shape = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorShapeProto();
}
input.ReadMessage(Shape);
break;
}
}
}
}
}
public sealed partial class Opaque : pb::IMessage<Opaque>
{
private static readonly pb::MessageParser<Opaque> _parser = new pb::MessageParser<Opaque>(() => new Opaque());
private pb::UnknownFieldSet _unknownFields;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pb::MessageParser<Opaque> Parser { get { return _parser; } }
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pbr::MessageDescriptor Descriptor
{
get { return global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Descriptor.NestedTypes[4]; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
pbr::MessageDescriptor pb::IMessage.Descriptor
{
get { return Descriptor; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public Opaque()
{
OnConstruction();
}
partial void OnConstruction();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public Opaque(Opaque other) : this()
{
domain_ = other.domain_;
name_ = other.name_;
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public Opaque Clone()
{
return new Opaque(this);
}
/// <summary>Field number for the "domain" field.</summary>
public const int DomainFieldNumber = 1;
private string domain_ = "";
/// <summary>
/// When missing, the domain is the same as the model's.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string Domain
{
get { return domain_; }
set
{
domain_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "name" field.</summary>
public const int NameFieldNumber = 2;
private string name_ = "";
/// <summary>
/// The name is optional but significant when provided.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string Name
{
get { return name_; }
set
{
name_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override bool Equals(object other)
{
return Equals(other as Opaque);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool Equals(Opaque other)
{
if (ReferenceEquals(other, null))
{
return false;
}
if (ReferenceEquals(other, this))
{
return true;
}
if (Domain != other.Domain) return false;
if (Name != other.Name) return false;
return Equals(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override int GetHashCode()
{
int hash = 1;
if (Domain.Length != 0) hash ^= Domain.GetHashCode();
if (Name.Length != 0) hash ^= Name.GetHashCode();
if (_unknownFields != null)
{
hash ^= _unknownFields.GetHashCode();
}
return hash;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override string ToString()
{
return pb::JsonFormatter.ToDiagnosticString(this);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void WriteTo(pb::CodedOutputStream output)
{
if (Domain.Length != 0)
{
output.WriteRawTag(10);
output.WriteString(Domain);
}
if (Name.Length != 0)
{
output.WriteRawTag(18);
output.WriteString(Name);
}
if (_unknownFields != null)
{
_unknownFields.WriteTo(output);
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int CalculateSize()
{
int size = 0;
if (Domain.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(Domain);
}
if (Name.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(Name);
}
if (_unknownFields != null)
{
size += _unknownFields.CalculateSize();
}
return size;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(Opaque other)
{
if (other == null)
{
return;
}
if (other.Domain.Length != 0)
{
Domain = other.Domain;
}
if (other.Name.Length != 0)
{
Name = other.Name;
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 10:
{
Domain = input.ReadString();
break;
}
case 18:
{
Name = input.ReadString();
break;
}
}
}
}
}
}
#endregion
}
/// <summary>
/// Operator Sets
///
/// OperatorSets are uniquely identified by a (domain, opset_version) pair.
/// </summary>
public sealed partial class OperatorSetIdProto : pb::IMessage<OperatorSetIdProto>
{
private static readonly pb::MessageParser<OperatorSetIdProto> _parser = new pb::MessageParser<OperatorSetIdProto>(() => new OperatorSetIdProto());
private pb::UnknownFieldSet _unknownFields;
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pb::MessageParser<OperatorSetIdProto> Parser { get { return _parser; } }
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public static pbr::MessageDescriptor Descriptor
{
get { return global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.OnnxMlReflection.Descriptor.MessageTypes[11]; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
pbr::MessageDescriptor pb::IMessage.Descriptor
{
get { return Descriptor; }
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public OperatorSetIdProto()
{
OnConstruction();
}
partial void OnConstruction();
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public OperatorSetIdProto(OperatorSetIdProto other) : this()
{
domain_ = other.domain_;
version_ = other.version_;
_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public OperatorSetIdProto Clone()
{
return new OperatorSetIdProto(this);
}
/// <summary>Field number for the "domain" field.</summary>
public const int DomainFieldNumber = 1;
private string domain_ = "";
/// <summary>
/// The domain of the operator set being identified.
/// The empty string ("") or absence of this field implies the operator
/// set that is defined as part of the ONNX specification.
/// This field MUST be present in this version of the IR when referring to any other operator set.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public string Domain
{
get { return domain_; }
set
{
domain_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
}
}
/// <summary>Field number for the "version" field.</summary>
public const int VersionFieldNumber = 2;
private long version_;
/// <summary>
/// The version of the operator set being identified.
/// This field MUST be present in this version of the IR.
/// </summary>
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public long Version
{
get { return version_; }
set
{
version_ = value;
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override bool Equals(object other)
{
return Equals(other as OperatorSetIdProto);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public bool Equals(OperatorSetIdProto other)
{
if (ReferenceEquals(other, null))
{
return false;
}
if (ReferenceEquals(other, this))
{
return true;
}
if (Domain != other.Domain) return false;
if (Version != other.Version) return false;
return Equals(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override int GetHashCode()
{
int hash = 1;
if (Domain.Length != 0) hash ^= Domain.GetHashCode();
if (Version != 0L) hash ^= Version.GetHashCode();
if (_unknownFields != null)
{
hash ^= _unknownFields.GetHashCode();
}
return hash;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public override string ToString()
{
return pb::JsonFormatter.ToDiagnosticString(this);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void WriteTo(pb::CodedOutputStream output)
{
if (Domain.Length != 0)
{
output.WriteRawTag(10);
output.WriteString(Domain);
}
if (Version != 0L)
{
output.WriteRawTag(16);
output.WriteInt64(Version);
}
if (_unknownFields != null)
{
_unknownFields.WriteTo(output);
}
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public int CalculateSize()
{
int size = 0;
if (Domain.Length != 0)
{
size += 1 + pb::CodedOutputStream.ComputeStringSize(Domain);
}
if (Version != 0L)
{
size += 1 + pb::CodedOutputStream.ComputeInt64Size(Version);
}
if (_unknownFields != null)
{
size += _unknownFields.CalculateSize();
}
return size;
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(OperatorSetIdProto other)
{
if (other == null)
{
return;
}
if (other.Domain.Length != 0)
{
Domain = other.Domain;
}
if (other.Version != 0L)
{
Version = other.Version;
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
[global::System.Diagnostics.DebuggerNonUserCodeAttribute]
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 10:
{
Domain = input.ReadString();
break;
}
case 16:
{
Version = input.ReadInt64();
break;
}
}
}
}
}
}
#endregion
}
#endregion Designer generated code
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