From 1612934f72bc015c8f295f0e9f3d41f19bbed4ef Mon Sep 17 00:00:00 2001
From: Sunghoon <35605090+hanbitmyths@users.noreply.github.com>
Date: Thu, 1 Oct 2020 21:40:29 -0700
Subject: [PATCH] Allow protobuf format of input data for performance test
(#5323)
* Allow protobuf format of input data like onnxruntime_perf_tool
* Add OnnxML.cs to fix build failure
---
.../Microsoft.ML.OnnxRuntime.PerfTool.csproj | 9 +
.../OnnxMl.cs | 5826 +++++++++++++++++
.../Program.cs | 310 +-
3 files changed, 6095 insertions(+), 50 deletions(-)
create mode 100644 csharp/tools/Microsoft.ML.OnnxRuntime.PerfTool/OnnxMl.cs
diff --git a/csharp/tools/Microsoft.ML.OnnxRuntime.PerfTool/Microsoft.ML.OnnxRuntime.PerfTool.csproj b/csharp/tools/Microsoft.ML.OnnxRuntime.PerfTool/Microsoft.ML.OnnxRuntime.PerfTool.csproj
index 80c2a42728..f408e52ed4 100644
--- a/csharp/tools/Microsoft.ML.OnnxRuntime.PerfTool/Microsoft.ML.OnnxRuntime.PerfTool.csproj
+++ b/csharp/tools/Microsoft.ML.OnnxRuntime.PerfTool/Microsoft.ML.OnnxRuntime.PerfTool.csproj
@@ -8,18 +8,23 @@
false
Debug;Release;RelWithDebInfo
false
+ $(OnnxRuntimeCsharpRoot)\..\onnxruntime\core\protobuf
$(OnnxRuntimeCsharpRoot)\..\build\Linux
$(OnnxRuntimeBuildDirectory)\$(Configuration)
+ $(OnnxRuntimeBuildDirectory)\$(Configuration)\external\protobuf\cmake
+ $(ProtocDirectory)\protoc.exe
$(OnnxRuntimeCsharpRoot)\..\build\Windows
$(OnnxRuntimeBuildDirectory)\$(Configuration)\$(Configuration)
+ $(OnnxRuntimeBuildDirectory)\$(Configuration)\external\protobuf\cmake\$(Configuration)
+ $(ProtocDirectory)\protoc.exe
@@ -53,7 +58,11 @@
+
+
+
+
diff --git a/csharp/tools/Microsoft.ML.OnnxRuntime.PerfTool/OnnxMl.cs b/csharp/tools/Microsoft.ML.OnnxRuntime.PerfTool/OnnxMl.cs
new file mode 100644
index 0000000000..99608b4e3a
--- /dev/null
+++ b/csharp/tools/Microsoft.ML.OnnxRuntime.PerfTool/OnnxMl.cs
@@ -0,0 +1,5826 @@
+//
+// Generated by the protocol buffer compiler. DO NOT EDIT!
+// source: onnx-ml.proto3
+//
+#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 Onnx {
+
+ /// Holder for reflection information generated from onnx-ml.proto3
+ public static partial class OnnxMlReflection {
+
+ #region Descriptor
+ /// File descriptor for onnx-ml.proto3
+ public static pbr::FileDescriptor Descriptor {
+ get { return descriptor; }
+ }
+ private static pbr::FileDescriptor descriptor;
+
+ static OnnxMlReflection() {
+ byte[] descriptorData = global::System.Convert.FromBase64String(
+ string.Concat(
+ "Cg5vbm54LW1sLnByb3RvMxIEb25ueCLoBAoOQXR0cmlidXRlUHJvdG8SDAoE",
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+ "UlRfVkVSU0lPThAAEhkKFUlSX1ZFUlNJT05fMjAxN18xMF8xMBABEhkKFUlS",
+ "X1ZFUlNJT05fMjAxN18xMF8zMBACEhgKFElSX1ZFUlNJT05fMjAxN18xMV8z",
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+ "BlNUQUJMRRABYgZwcm90bzM="));
+ descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
+ new pbr::FileDescriptor[] { },
+ new pbr::GeneratedClrTypeInfo(new[] {typeof(global::Onnx.Version), typeof(global::Onnx.OperatorStatus), }, null, new pbr::GeneratedClrTypeInfo[] {
+ new pbr::GeneratedClrTypeInfo(typeof(global::Onnx.AttributeProto), global::Onnx.AttributeProto.Parser, new[]{ "Name", "RefAttrName", "DocString", "Type", "F", "I", "S", "T", "G", "SparseTensor", "Floats", "Ints", "Strings", "Tensors", "Graphs", "SparseTensors" }, null, new[]{ typeof(global::Onnx.AttributeProto.Types.AttributeType) }, null, null),
+ new pbr::GeneratedClrTypeInfo(typeof(global::Onnx.ValueInfoProto), global::Onnx.ValueInfoProto.Parser, new[]{ "Name", "Type", "DocString" }, null, null, null, null),
+ new pbr::GeneratedClrTypeInfo(typeof(global::Onnx.NodeProto), global::Onnx.NodeProto.Parser, new[]{ "Input", "Output", "Name", "OpType", "Domain", "Attribute", "DocString" }, null, null, null, null),
+ new pbr::GeneratedClrTypeInfo(typeof(global::Onnx.TrainingInfoProto), global::Onnx.TrainingInfoProto.Parser, new[]{ "Initialization", "Algorithm", "InitializationBinding", "UpdateBinding" }, null, null, null, null),
+ new pbr::GeneratedClrTypeInfo(typeof(global::Onnx.ModelProto), global::Onnx.ModelProto.Parser, new[]{ "IrVersion", "OpsetImport", "ProducerName", "ProducerVersion", "Domain", "ModelVersion", "DocString", "Graph", "Functions", "MetadataProps", "TrainingInfo" }, null, null, null, null),
+ new pbr::GeneratedClrTypeInfo(typeof(global::Onnx.StringStringEntryProto), global::Onnx.StringStringEntryProto.Parser, new[]{ "Key", "Value" }, null, null, null, null),
+ new pbr::GeneratedClrTypeInfo(typeof(global::Onnx.TensorAnnotation), global::Onnx.TensorAnnotation.Parser, new[]{ "TensorName", "QuantParameterTensorNames" }, null, null, null, null),
+ new pbr::GeneratedClrTypeInfo(typeof(global::Onnx.GraphProto), global::Onnx.GraphProto.Parser, new[]{ "Node", "Name", "Initializer", "SparseInitializer", "DocString", "Input", "Output", "ValueInfo", "QuantizationAnnotation" }, null, null, null, null),
+ new pbr::GeneratedClrTypeInfo(typeof(global::Onnx.TensorProto), global::Onnx.TensorProto.Parser, new[]{ "Dims", "DataType", "Segment", "FloatData", "Int32Data", "StringData", "Int64Data", "Name", "DocString", "RawData", "ExternalData", "DataLocation", "DoubleData", "Uint64Data" }, null, new[]{ typeof(global::Onnx.TensorProto.Types.DataType), typeof(global::Onnx.TensorProto.Types.DataLocation) }, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Onnx.TensorProto.Types.Segment), global::Onnx.TensorProto.Types.Segment.Parser, new[]{ "Begin", "End" }, null, null, null, null)}),
+ new pbr::GeneratedClrTypeInfo(typeof(global::Onnx.SparseTensorProto), global::Onnx.SparseTensorProto.Parser, new[]{ "Values", "Indices", "Dims" }, null, null, null, null),
+ new pbr::GeneratedClrTypeInfo(typeof(global::Onnx.TensorShapeProto), global::Onnx.TensorShapeProto.Parser, new[]{ "Dim" }, null, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Onnx.TensorShapeProto.Types.Dimension), global::Onnx.TensorShapeProto.Types.Dimension.Parser, new[]{ "DimValue", "DimParam", "Denotation" }, new[]{ "Value" }, null, null, null)}),
+ new pbr::GeneratedClrTypeInfo(typeof(global::Onnx.TypeProto), global::Onnx.TypeProto.Parser, new[]{ "TensorType", "SequenceType", "MapType", "SparseTensorType", "OpaqueType", "Denotation" }, new[]{ "Value" }, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Onnx.TypeProto.Types.Tensor), global::Onnx.TypeProto.Types.Tensor.Parser, new[]{ "ElemType", "Shape" }, null, null, null, null),
+ new pbr::GeneratedClrTypeInfo(typeof(global::Onnx.TypeProto.Types.Sequence), global::Onnx.TypeProto.Types.Sequence.Parser, new[]{ "ElemType" }, null, null, null, null),
+ new pbr::GeneratedClrTypeInfo(typeof(global::Onnx.TypeProto.Types.Map), global::Onnx.TypeProto.Types.Map.Parser, new[]{ "KeyType", "ValueType" }, null, null, null, null),
+ new pbr::GeneratedClrTypeInfo(typeof(global::Onnx.TypeProto.Types.SparseTensor), global::Onnx.TypeProto.Types.SparseTensor.Parser, new[]{ "ElemType", "Shape" }, null, null, null, null),
+ new pbr::GeneratedClrTypeInfo(typeof(global::Onnx.TypeProto.Types.Opaque), global::Onnx.TypeProto.Types.Opaque.Parser, new[]{ "Domain", "Name" }, null, null, null, null)}),
+ new pbr::GeneratedClrTypeInfo(typeof(global::Onnx.OperatorSetIdProto), global::Onnx.OperatorSetIdProto.Parser, new[]{ "Domain", "Version" }, null, null, null, null),
+ new pbr::GeneratedClrTypeInfo(typeof(global::Onnx.FunctionProto), global::Onnx.FunctionProto.Parser, new[]{ "Name", "SinceVersion", "Status", "Input", "Output", "Attribute", "Node", "DocString", "OpsetImport" }, null, null, null, null)
+ }));
+ }
+ #endregion
+
+ }
+ #region Enums
+ ///
+ /// 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.
+ ///
+ public enum Version {
+ ///
+ /// proto3 requires the first enum value to be zero.
+ /// We add this just to appease the compiler.
+ ///
+ [pbr::OriginalName("_START_VERSION")] StartVersion = 0,
+ ///
+ /// 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 0x00000001,
+ /// which was the version we published on Oct 10, 2017.
+ ///
+ [pbr::OriginalName("IR_VERSION_2017_10_10")] IrVersion20171010 = 1,
+ ///
+ /// IR_VERSION 2 published on Oct 30, 2017
+ /// - Added type discriminator to AttributeProto to support proto3 users
+ ///
+ [pbr::OriginalName("IR_VERSION_2017_10_30")] IrVersion20171030 = 2,
+ ///
+ /// 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
+ ///
+ [pbr::OriginalName("IR_VERSION_2017_11_3")] IrVersion2017113 = 3,
+ ///
+ /// IR VERSION 4 published on Jan 22, 2019
+ /// - Relax constraint that initializers should be a subset of graph inputs
+ /// - Add type BFLOAT16
+ ///
+ [pbr::OriginalName("IR_VERSION_2019_1_22")] IrVersion2019122 = 4,
+ ///
+ /// 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.
+ ///
+ [pbr::OriginalName("IR_VERSION_2019_3_18")] IrVersion2019318 = 5,
+ ///
+ /// IR VERSION 6 published on Sep 19, 2019
+ /// - Add support for sparse tensor constants stored in model.
+ /// - Add message SparseTensorProto
+ /// - Add sparse initializers
+ ///
+ [pbr::OriginalName("IR_VERSION_2019_9_19")] IrVersion2019919 = 6,
+ ///
+ /// IR VERSION 7 published on <TBD>
+ /// - Add support to allow function body graph to rely on multiple external opreator sets.
+ /// - Add a list to promote inference graph's initializers to global and
+ /// mutable variables. Global variables are visible in all graphs of the
+ /// stored models.
+ /// - Add message TrainingInfoProto to store initialization
+ /// method and training algorithm. The execution of TrainingInfoProto
+ /// can modify the values of mutable variables.
+ /// - Make inference graph callable from TrainingInfoProto via GraphCall operator.
+ ///
+ [pbr::OriginalName("IR_VERSION")] IrVersion = 7,
+ }
+
+ ///
+ /// Operator/function status.
+ ///
+ public enum OperatorStatus {
+ [pbr::OriginalName("EXPERIMENTAL")] Experimental = 0,
+ [pbr::OriginalName("STABLE")] Stable = 1,
+ }
+
+ #endregion
+
+ #region Messages
+ ///
+ /// 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.
+ ///
+ public sealed partial class AttributeProto : pb::IMessage {
+ private static readonly pb::MessageParser _parser = new pb::MessageParser(() => new AttributeProto());
+ private pb::UnknownFieldSet _unknownFields;
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pb::MessageParser Parser { get { return _parser; } }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pbr::MessageDescriptor Descriptor {
+ get { return global::Onnx.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);
+ }
+
+ /// Field number for the "name" field.
+ public const int NameFieldNumber = 1;
+ private string name_ = "";
+ ///
+ /// The name field MUST be present for this version of the IR.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public string Name {
+ get { return name_; }
+ set {
+ name_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+ }
+ }
+
+ /// Field number for the "ref_attr_name" field.
+ public const int RefAttrNameFieldNumber = 21;
+ private string refAttrName_ = "";
+ ///
+ /// 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.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public string RefAttrName {
+ get { return refAttrName_; }
+ set {
+ refAttrName_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+ }
+ }
+
+ /// Field number for the "doc_string" field.
+ public const int DocStringFieldNumber = 13;
+ private string docString_ = "";
+ ///
+ /// A human-readable documentation for this attribute. Markdown is allowed.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public string DocString {
+ get { return docString_; }
+ set {
+ docString_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+ }
+ }
+
+ /// Field number for the "type" field.
+ public const int TypeFieldNumber = 20;
+ private global::Onnx.AttributeProto.Types.AttributeType type_ = global::Onnx.AttributeProto.Types.AttributeType.Undefined;
+ ///
+ /// 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 heuristics 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.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public global::Onnx.AttributeProto.Types.AttributeType Type {
+ get { return type_; }
+ set {
+ type_ = value;
+ }
+ }
+
+ /// Field number for the "f" field.
+ public const int FFieldNumber = 2;
+ private float f_;
+ ///
+ /// Exactly ONE of the following fields must be present for this version of the IR
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public float F {
+ get { return f_; }
+ set {
+ f_ = value;
+ }
+ }
+
+ /// Field number for the "i" field.
+ public const int IFieldNumber = 3;
+ private long i_;
+ ///
+ /// int
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public long I {
+ get { return i_; }
+ set {
+ i_ = value;
+ }
+ }
+
+ /// Field number for the "s" field.
+ public const int SFieldNumber = 4;
+ private pb::ByteString s_ = pb::ByteString.Empty;
+ ///
+ /// UTF-8 string
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pb::ByteString S {
+ get { return s_; }
+ set {
+ s_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+ }
+ }
+
+ /// Field number for the "t" field.
+ public const int TFieldNumber = 5;
+ private global::Onnx.TensorProto t_;
+ ///
+ /// tensor value
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public global::Onnx.TensorProto T {
+ get { return t_; }
+ set {
+ t_ = value;
+ }
+ }
+
+ /// Field number for the "g" field.
+ public const int GFieldNumber = 6;
+ private global::Onnx.GraphProto g_;
+ ///
+ /// graph
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public global::Onnx.GraphProto G {
+ get { return g_; }
+ set {
+ g_ = value;
+ }
+ }
+
+ /// Field number for the "sparse_tensor" field.
+ public const int SparseTensorFieldNumber = 22;
+ private global::Onnx.SparseTensorProto sparseTensor_;
+ ///
+ /// sparse tensor value
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public global::Onnx.SparseTensorProto SparseTensor {
+ get { return sparseTensor_; }
+ set {
+ sparseTensor_ = value;
+ }
+ }
+
+ /// Field number for the "floats" field.
+ public const int FloatsFieldNumber = 7;
+ private static readonly pb::FieldCodec _repeated_floats_codec
+ = pb::FieldCodec.ForFloat(58);
+ private readonly pbc::RepeatedField floats_ = new pbc::RepeatedField();
+ ///
+ /// list of floats
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField Floats {
+ get { return floats_; }
+ }
+
+ /// Field number for the "ints" field.
+ public const int IntsFieldNumber = 8;
+ private static readonly pb::FieldCodec _repeated_ints_codec
+ = pb::FieldCodec.ForInt64(66);
+ private readonly pbc::RepeatedField ints_ = new pbc::RepeatedField();
+ ///
+ /// list of ints
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField Ints {
+ get { return ints_; }
+ }
+
+ /// Field number for the "strings" field.
+ public const int StringsFieldNumber = 9;
+ private static readonly pb::FieldCodec _repeated_strings_codec
+ = pb::FieldCodec.ForBytes(74);
+ private readonly pbc::RepeatedField strings_ = new pbc::RepeatedField();
+ ///
+ /// list of UTF-8 strings
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField Strings {
+ get { return strings_; }
+ }
+
+ /// Field number for the "tensors" field.
+ public const int TensorsFieldNumber = 10;
+ private static readonly pb::FieldCodec _repeated_tensors_codec
+ = pb::FieldCodec.ForMessage(82, global::Onnx.TensorProto.Parser);
+ private readonly pbc::RepeatedField tensors_ = new pbc::RepeatedField();
+ ///
+ /// list of tensors
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField Tensors {
+ get { return tensors_; }
+ }
+
+ /// Field number for the "graphs" field.
+ public const int GraphsFieldNumber = 11;
+ private static readonly pb::FieldCodec _repeated_graphs_codec
+ = pb::FieldCodec.ForMessage(90, global::Onnx.GraphProto.Parser);
+ private readonly pbc::RepeatedField graphs_ = new pbc::RepeatedField();
+ ///
+ /// list of graph
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField Graphs {
+ get { return graphs_; }
+ }
+
+ /// Field number for the "sparse_tensors" field.
+ public const int SparseTensorsFieldNumber = 23;
+ private static readonly pb::FieldCodec _repeated_sparseTensors_codec
+ = pb::FieldCodec.ForMessage(186, global::Onnx.SparseTensorProto.Parser);
+ private readonly pbc::RepeatedField sparseTensors_ = new pbc::RepeatedField();
+ ///
+ /// list of sparse tensors
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField 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::Onnx.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::Onnx.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::Onnx.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::Onnx.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::Onnx.TensorProto();
+ }
+ T.MergeFrom(other.T);
+ }
+ if (other.g_ != null) {
+ if (g_ == null) {
+ G = new global::Onnx.GraphProto();
+ }
+ G.MergeFrom(other.G);
+ }
+ if (other.sparseTensor_ != null) {
+ if (sparseTensor_ == null) {
+ SparseTensor = new global::Onnx.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::Onnx.TensorProto();
+ }
+ input.ReadMessage(T);
+ break;
+ }
+ case 50: {
+ if (g_ == null) {
+ G = new global::Onnx.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::Onnx.AttributeProto.Types.AttributeType) input.ReadEnum();
+ break;
+ }
+ case 170: {
+ RefAttrName = input.ReadString();
+ break;
+ }
+ case 178: {
+ if (sparseTensor_ == null) {
+ SparseTensor = new global::Onnx.SparseTensorProto();
+ }
+ input.ReadMessage(SparseTensor);
+ break;
+ }
+ case 186: {
+ sparseTensors_.AddEntriesFrom(input, _repeated_sparseTensors_codec);
+ break;
+ }
+ }
+ }
+ }
+
+ #region Nested types
+ /// Container for nested types declared in the AttributeProto message type.
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static partial class Types {
+ ///
+ /// 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.
+ ///
+ 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
+
+ }
+
+ ///
+ /// Defines information on value, including the name, the type, and
+ /// the shape of the value.
+ ///
+ public sealed partial class ValueInfoProto : pb::IMessage {
+ private static readonly pb::MessageParser _parser = new pb::MessageParser(() => new ValueInfoProto());
+ private pb::UnknownFieldSet _unknownFields;
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pb::MessageParser Parser { get { return _parser; } }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pbr::MessageDescriptor Descriptor {
+ get { return global::Onnx.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);
+ }
+
+ /// Field number for the "name" field.
+ public const int NameFieldNumber = 1;
+ private string name_ = "";
+ ///
+ /// This field MUST be present in this version of the IR.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public string Name {
+ get { return name_; }
+ set {
+ name_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+ }
+ }
+
+ /// Field number for the "type" field.
+ public const int TypeFieldNumber = 2;
+ private global::Onnx.TypeProto type_;
+ ///
+ /// This field MUST be present in this version of the IR for
+ /// inputs and outputs of the top-level graph.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public global::Onnx.TypeProto Type {
+ get { return type_; }
+ set {
+ type_ = value;
+ }
+ }
+
+ /// Field number for the "doc_string" field.
+ public const int DocStringFieldNumber = 3;
+ private string docString_ = "";
+ ///
+ /// A human-readable documentation for this value. Markdown is allowed.
+ ///
+ [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::Onnx.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::Onnx.TypeProto();
+ }
+ input.ReadMessage(Type);
+ break;
+ }
+ case 26: {
+ DocString = input.ReadString();
+ break;
+ }
+ }
+ }
+ }
+
+ }
+
+ ///
+ /// 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.
+ ///
+ public sealed partial class NodeProto : pb::IMessage {
+ private static readonly pb::MessageParser _parser = new pb::MessageParser(() => new NodeProto());
+ private pb::UnknownFieldSet _unknownFields;
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pb::MessageParser Parser { get { return _parser; } }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pbr::MessageDescriptor Descriptor {
+ get { return global::Onnx.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);
+ }
+
+ /// Field number for the "input" field.
+ public const int InputFieldNumber = 1;
+ private static readonly pb::FieldCodec _repeated_input_codec
+ = pb::FieldCodec.ForString(10);
+ private readonly pbc::RepeatedField input_ = new pbc::RepeatedField();
+ ///
+ /// namespace Value
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField Input {
+ get { return input_; }
+ }
+
+ /// Field number for the "output" field.
+ public const int OutputFieldNumber = 2;
+ private static readonly pb::FieldCodec _repeated_output_codec
+ = pb::FieldCodec.ForString(18);
+ private readonly pbc::RepeatedField output_ = new pbc::RepeatedField();
+ ///
+ /// namespace Value
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField Output {
+ get { return output_; }
+ }
+
+ /// Field number for the "name" field.
+ public const int NameFieldNumber = 3;
+ private string name_ = "";
+ ///
+ /// An optional identifier for this node in a graph.
+ /// This field MAY be absent in ths version of the IR.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public string Name {
+ get { return name_; }
+ set {
+ name_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+ }
+ }
+
+ /// Field number for the "op_type" field.
+ public const int OpTypeFieldNumber = 4;
+ private string opType_ = "";
+ ///
+ /// The symbolic identifier of the Operator to execute.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public string OpType {
+ get { return opType_; }
+ set {
+ opType_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+ }
+ }
+
+ /// Field number for the "domain" field.
+ public const int DomainFieldNumber = 7;
+ private string domain_ = "";
+ ///
+ /// The domain of the OperatorSet that specifies the operator named by op_type.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public string Domain {
+ get { return domain_; }
+ set {
+ domain_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+ }
+ }
+
+ /// Field number for the "attribute" field.
+ public const int AttributeFieldNumber = 5;
+ private static readonly pb::FieldCodec _repeated_attribute_codec
+ = pb::FieldCodec.ForMessage(42, global::Onnx.AttributeProto.Parser);
+ private readonly pbc::RepeatedField attribute_ = new pbc::RepeatedField();
+ ///
+ /// Additional named attributes.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField Attribute {
+ get { return attribute_; }
+ }
+
+ /// Field number for the "doc_string" field.
+ public const int DocStringFieldNumber = 6;
+ private string docString_ = "";
+ ///
+ /// A human-readable documentation for this node. Markdown is allowed.
+ ///
+ [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;
+ }
+ }
+ }
+ }
+
+ }
+
+ ///
+ /// Training information
+ /// TrainingInfoProto stores information for training a model.
+ /// In particular, this defines two functionalities: an initialization-step
+ /// and a training-algorithm-step. Initialization resets the model
+ /// back to its original state as if no training has been consumed.
+ /// Training algorithm improves the model based on input data.
+ ///
+ /// The semantics of the initialization-step is that the initializers
+ /// in ModelProto.graph and in TrainingInfoProto.algorithm are first
+ /// initialized as specified by the initializers in the graph, and then
+ /// updated by the "initialization_binding" in every instance in
+ /// ModelProto.training_info.
+ ///
+ /// The field "algorithm" defines a computation graph which represents a
+ /// training algorithm's step. After the execution of a
+ /// TrainingInfoProto.algorithm, the initializers specified by "update_binding"
+ /// may be immediately updated. If the targeted training algorithm contains
+ /// consecutive update stages (such as block coordinate descent methods),
+ /// the user needs to create a TrainingInfoProto for each stage.
+ ///
+ public sealed partial class TrainingInfoProto : pb::IMessage {
+ private static readonly pb::MessageParser _parser = new pb::MessageParser(() => new TrainingInfoProto());
+ private pb::UnknownFieldSet _unknownFields;
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pb::MessageParser Parser { get { return _parser; } }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pbr::MessageDescriptor Descriptor {
+ get { return global::Onnx.OnnxMlReflection.Descriptor.MessageTypes[3]; }
+ }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ pbr::MessageDescriptor pb::IMessage.Descriptor {
+ get { return Descriptor; }
+ }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public TrainingInfoProto() {
+ OnConstruction();
+ }
+
+ partial void OnConstruction();
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public TrainingInfoProto(TrainingInfoProto other) : this() {
+ initialization_ = other.initialization_ != null ? other.initialization_.Clone() : null;
+ algorithm_ = other.algorithm_ != null ? other.algorithm_.Clone() : null;
+ initializationBinding_ = other.initializationBinding_.Clone();
+ updateBinding_ = other.updateBinding_.Clone();
+ _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
+ }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public TrainingInfoProto Clone() {
+ return new TrainingInfoProto(this);
+ }
+
+ /// Field number for the "initialization" field.
+ public const int InitializationFieldNumber = 1;
+ private global::Onnx.GraphProto initialization_;
+ ///
+ /// This field describes a graph to compute the initial tensors
+ /// upon starting the training process. Initialization graph has no input
+ /// and can have multiple outputs. Usually, trainable tensors in neural
+ /// networks are randomly initialized. To achieve that, for each tensor,
+ /// the user can put a random number operator such as RandomNormal or
+ /// RandomUniform in TrainingInfoProto.initialization.node and assign its
+ /// random output to the specific tensor using "initialization_binding".
+ /// This graph can also set the initializers in "algorithm" in the same
+ /// TrainingInfoProto; a use case is resetting the number of training
+ /// iteration to zero.
+ ///
+ /// By default, this field is an empty graph and its evaluation does not
+ /// produce any output.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public global::Onnx.GraphProto Initialization {
+ get { return initialization_; }
+ set {
+ initialization_ = value;
+ }
+ }
+
+ /// Field number for the "algorithm" field.
+ public const int AlgorithmFieldNumber = 2;
+ private global::Onnx.GraphProto algorithm_;
+ ///
+ /// This field represents a training algorithm step. Given required inputs,
+ /// it computes outputs to update initializers in its own or inference graph's
+ /// initializer lists. In general, this graph contains loss node, gradient node,
+ /// optimizer node, increment of iteration count, and some calls to the inference
+ /// graph.
+ ///
+ /// The field algorithm.node is the only place the user can use GraphCall
+ /// operator. The only callable graph is the one stored in ModelProto.graph.
+ ///
+ /// By default, this field is an empty graph and its evaluation does not
+ /// produce any output.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public global::Onnx.GraphProto Algorithm {
+ get { return algorithm_; }
+ set {
+ algorithm_ = value;
+ }
+ }
+
+ /// Field number for the "initialization_binding" field.
+ public const int InitializationBindingFieldNumber = 3;
+ private static readonly pb::FieldCodec _repeated_initializationBinding_codec
+ = pb::FieldCodec.ForMessage(26, global::Onnx.StringStringEntryProto.Parser);
+ private readonly pbc::RepeatedField initializationBinding_ = new pbc::RepeatedField();
+ ///
+ /// This field specifies the bindings from the outputs of "initialization" to
+ /// some initializers in "ModelProto.graph.initializer" and
+ /// the "algorithm.initializer" in the same TrainingInfoProto.
+ /// See "update_binding" below for details.
+ ///
+ /// By default, this field is empty and no initializer would be changed
+ /// by the execution of "initialization".
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField InitializationBinding {
+ get { return initializationBinding_; }
+ }
+
+ /// Field number for the "update_binding" field.
+ public const int UpdateBindingFieldNumber = 4;
+ private static readonly pb::FieldCodec _repeated_updateBinding_codec
+ = pb::FieldCodec.ForMessage(34, global::Onnx.StringStringEntryProto.Parser);
+ private readonly pbc::RepeatedField updateBinding_ = new pbc::RepeatedField();
+ ///
+ /// Gradient-based training is usually an iterative procedure. In one gradient
+ /// descent iteration, we apply
+ ///
+ /// x = x - r * g
+ ///
+ /// where "x" is the optimized tensor, "r" stands for learning rate, and "g" is
+ /// gradient of "x" with respect to a chosen loss. To avoid adding assignments
+ /// into the training graph, we split the update equation into
+ ///
+ /// y = x - r * g
+ /// x = y
+ ///
+ /// The user needs to save "y = x - r * g" into TrainingInfoProto.algorithm. To
+ /// tell that "y" should be assigned to "x", the field "update_binding" may
+ /// contain a key-value pair of strings, "x" (key of StringStringEntryProto)
+ /// and "y" (value of StringStringEntryProto).
+ /// For a neural network with multiple trainable (mutable) tensors, there can
+ /// be multiple key-value pairs in "update_binding".
+ ///
+ /// The initializers appears as keys in "update_binding" are considered
+ /// mutable and globally-visible variables. This implies some behaviors
+ /// as described below.
+ ///
+ /// 1. We have only unique keys in all "update_binding"s so that two global
+ /// variables may not have the same name. This ensures that one
+ /// global variable is assigned up to once.
+ /// 2. The keys must appear in names of "ModelProto.graph.initializer" or
+ /// "TrainingInfoProto.algorithm.initializer".
+ /// 3. The values must be output names of "algorithm".
+ /// 4. If an optional input of a graph is omitted when using GraphCall, the
+ /// global variable with the same name may be used.
+ /// 5. When using GraphCall, the users always can pass values to optional
+ /// inputs of the called graph even if the associated initializers appears
+ /// as keys in "update_binding"s.
+ /// 6. The graphs in TrainingInfoProto's can use global variables as
+ /// their operator inputs.
+ /// 7. Mutable variables are initialized to the value specified by the
+ /// corresponding initializer, and then potentially updated by
+ /// "initializer_binding"s and "update_binding"s in "TrainingInfoProto"s.
+ ///
+ /// This field usually contains names of trainable tensors
+ /// (in ModelProto.graph), optimizer states such as momentums in advanced
+ /// stochastic gradient methods (in TrainingInfoProto.graph),
+ /// and number of training iterations (in TrainingInfoProto.graph).
+ ///
+ /// By default, this field is empty and no initializer would be changed
+ /// by the execution of "algorithm".
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField UpdateBinding {
+ get { return updateBinding_; }
+ }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public override bool Equals(object other) {
+ return Equals(other as TrainingInfoProto);
+ }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public bool Equals(TrainingInfoProto other) {
+ if (ReferenceEquals(other, null)) {
+ return false;
+ }
+ if (ReferenceEquals(other, this)) {
+ return true;
+ }
+ if (!object.Equals(Initialization, other.Initialization)) return false;
+ if (!object.Equals(Algorithm, other.Algorithm)) return false;
+ if(!initializationBinding_.Equals(other.initializationBinding_)) return false;
+ if(!updateBinding_.Equals(other.updateBinding_)) return false;
+ return Equals(_unknownFields, other._unknownFields);
+ }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public override int GetHashCode() {
+ int hash = 1;
+ if (initialization_ != null) hash ^= Initialization.GetHashCode();
+ if (algorithm_ != null) hash ^= Algorithm.GetHashCode();
+ hash ^= initializationBinding_.GetHashCode();
+ hash ^= updateBinding_.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 (initialization_ != null) {
+ output.WriteRawTag(10);
+ output.WriteMessage(Initialization);
+ }
+ if (algorithm_ != null) {
+ output.WriteRawTag(18);
+ output.WriteMessage(Algorithm);
+ }
+ initializationBinding_.WriteTo(output, _repeated_initializationBinding_codec);
+ updateBinding_.WriteTo(output, _repeated_updateBinding_codec);
+ if (_unknownFields != null) {
+ _unknownFields.WriteTo(output);
+ }
+ }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public int CalculateSize() {
+ int size = 0;
+ if (initialization_ != null) {
+ size += 1 + pb::CodedOutputStream.ComputeMessageSize(Initialization);
+ }
+ if (algorithm_ != null) {
+ size += 1 + pb::CodedOutputStream.ComputeMessageSize(Algorithm);
+ }
+ size += initializationBinding_.CalculateSize(_repeated_initializationBinding_codec);
+ size += updateBinding_.CalculateSize(_repeated_updateBinding_codec);
+ if (_unknownFields != null) {
+ size += _unknownFields.CalculateSize();
+ }
+ return size;
+ }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public void MergeFrom(TrainingInfoProto other) {
+ if (other == null) {
+ return;
+ }
+ if (other.initialization_ != null) {
+ if (initialization_ == null) {
+ Initialization = new global::Onnx.GraphProto();
+ }
+ Initialization.MergeFrom(other.Initialization);
+ }
+ if (other.algorithm_ != null) {
+ if (algorithm_ == null) {
+ Algorithm = new global::Onnx.GraphProto();
+ }
+ Algorithm.MergeFrom(other.Algorithm);
+ }
+ initializationBinding_.Add(other.initializationBinding_);
+ updateBinding_.Add(other.updateBinding_);
+ _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 (initialization_ == null) {
+ Initialization = new global::Onnx.GraphProto();
+ }
+ input.ReadMessage(Initialization);
+ break;
+ }
+ case 18: {
+ if (algorithm_ == null) {
+ Algorithm = new global::Onnx.GraphProto();
+ }
+ input.ReadMessage(Algorithm);
+ break;
+ }
+ case 26: {
+ initializationBinding_.AddEntriesFrom(input, _repeated_initializationBinding_codec);
+ break;
+ }
+ case 34: {
+ updateBinding_.AddEntriesFrom(input, _repeated_updateBinding_codec);
+ break;
+ }
+ }
+ }
+ }
+
+ }
+
+ ///
+ /// 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's.
+ ///
+ public sealed partial class ModelProto : pb::IMessage {
+ private static readonly pb::MessageParser _parser = new pb::MessageParser(() => new ModelProto());
+ private pb::UnknownFieldSet _unknownFields;
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pb::MessageParser Parser { get { return _parser; } }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pbr::MessageDescriptor Descriptor {
+ get { return global::Onnx.OnnxMlReflection.Descriptor.MessageTypes[4]; }
+ }
+
+ [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;
+ functions_ = other.functions_.Clone();
+ metadataProps_ = other.metadataProps_.Clone();
+ trainingInfo_ = other.trainingInfo_.Clone();
+ _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
+ }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public ModelProto Clone() {
+ return new ModelProto(this);
+ }
+
+ /// Field number for the "ir_version" field.
+ public const int IrVersionFieldNumber = 1;
+ private long irVersion_;
+ ///
+ /// The version of the IR this model targets. See Version enum above.
+ /// This field MUST be present.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public long IrVersion {
+ get { return irVersion_; }
+ set {
+ irVersion_ = value;
+ }
+ }
+
+ /// Field number for the "opset_import" field.
+ public const int OpsetImportFieldNumber = 8;
+ private static readonly pb::FieldCodec _repeated_opsetImport_codec
+ = pb::FieldCodec.ForMessage(66, global::Onnx.OperatorSetIdProto.Parser);
+ private readonly pbc::RepeatedField opsetImport_ = new pbc::RepeatedField();
+ ///
+ /// 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.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField OpsetImport {
+ get { return opsetImport_; }
+ }
+
+ /// Field number for the "producer_name" field.
+ public const int ProducerNameFieldNumber = 2;
+ private string producerName_ = "";
+ ///
+ /// 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.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public string ProducerName {
+ get { return producerName_; }
+ set {
+ producerName_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+ }
+ }
+
+ /// Field number for the "producer_version" field.
+ public const int ProducerVersionFieldNumber = 3;
+ private string producerVersion_ = "";
+ ///
+ /// 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.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public string ProducerVersion {
+ get { return producerVersion_; }
+ set {
+ producerVersion_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+ }
+ }
+
+ /// Field number for the "domain" field.
+ public const int DomainFieldNumber = 4;
+ private string domain_ = "";
+ ///
+ /// 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.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public string Domain {
+ get { return domain_; }
+ set {
+ domain_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+ }
+ }
+
+ /// Field number for the "model_version" field.
+ public const int ModelVersionFieldNumber = 5;
+ private long modelVersion_;
+ ///
+ /// The version of the graph encoded. See Version enum below.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public long ModelVersion {
+ get { return modelVersion_; }
+ set {
+ modelVersion_ = value;
+ }
+ }
+
+ /// Field number for the "doc_string" field.
+ public const int DocStringFieldNumber = 6;
+ private string docString_ = "";
+ ///
+ /// A human-readable documentation for this model. Markdown is allowed.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public string DocString {
+ get { return docString_; }
+ set {
+ docString_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+ }
+ }
+
+ /// Field number for the "graph" field.
+ public const int GraphFieldNumber = 7;
+ private global::Onnx.GraphProto graph_;
+ ///
+ /// The parameterized graph that is evaluated to execute the model.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public global::Onnx.GraphProto Graph {
+ get { return graph_; }
+ set {
+ graph_ = value;
+ }
+ }
+
+ /// Field number for the "functions" field.
+ public const int FunctionsFieldNumber = 100;
+ private static readonly pb::FieldCodec _repeated_functions_codec
+ = pb::FieldCodec.ForMessage(802, global::Onnx.FunctionProto.Parser);
+ private readonly pbc::RepeatedField functions_ = new pbc::RepeatedField();
+ ///
+ /// kezhan: This field is not in ONNX, and will be pushed into ONNX with good use cases in microsoft.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField Functions {
+ get { return functions_; }
+ }
+
+ /// Field number for the "metadata_props" field.
+ public const int MetadataPropsFieldNumber = 14;
+ private static readonly pb::FieldCodec _repeated_metadataProps_codec
+ = pb::FieldCodec.ForMessage(114, global::Onnx.StringStringEntryProto.Parser);
+ private readonly pbc::RepeatedField metadataProps_ = new pbc::RepeatedField();
+ ///
+ /// Named metadata values; keys should be distinct.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField MetadataProps {
+ get { return metadataProps_; }
+ }
+
+ /// Field number for the "training_info" field.
+ public const int TrainingInfoFieldNumber = 20;
+ private static readonly pb::FieldCodec _repeated_trainingInfo_codec
+ = pb::FieldCodec.ForMessage(162, global::Onnx.TrainingInfoProto.Parser);
+ private readonly pbc::RepeatedField trainingInfo_ = new pbc::RepeatedField();
+ ///
+ /// Training-specific information. Sequentially executing all stored
+ /// `TrainingInfoProto.algorithm`s and assigning their outputs following
+ /// the corresponding `TrainingInfoProto.update_binding`s is one training
+ /// iteration. Similarly, to initialize the model
+ /// (as if training hasn't happened), the user should sequentially execute
+ /// all stored `TrainingInfoProto.initialization`s and assigns their outputs
+ /// using `TrainingInfoProto.initialization_binding`s.
+ ///
+ /// If this field is empty, the training behavior of the model is undefined.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField TrainingInfo {
+ get { return trainingInfo_; }
+ }
+
+ [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(!functions_.Equals(other.functions_)) return false;
+ if(!metadataProps_.Equals(other.metadataProps_)) return false;
+ if(!trainingInfo_.Equals(other.trainingInfo_)) 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 ^= functions_.GetHashCode();
+ hash ^= metadataProps_.GetHashCode();
+ hash ^= trainingInfo_.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);
+ trainingInfo_.WriteTo(output, _repeated_trainingInfo_codec);
+ functions_.WriteTo(output, _repeated_functions_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 += functions_.CalculateSize(_repeated_functions_codec);
+ size += metadataProps_.CalculateSize(_repeated_metadataProps_codec);
+ size += trainingInfo_.CalculateSize(_repeated_trainingInfo_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::Onnx.GraphProto();
+ }
+ Graph.MergeFrom(other.Graph);
+ }
+ functions_.Add(other.functions_);
+ metadataProps_.Add(other.metadataProps_);
+ trainingInfo_.Add(other.trainingInfo_);
+ _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::Onnx.GraphProto();
+ }
+ input.ReadMessage(Graph);
+ break;
+ }
+ case 66: {
+ opsetImport_.AddEntriesFrom(input, _repeated_opsetImport_codec);
+ break;
+ }
+ case 114: {
+ metadataProps_.AddEntriesFrom(input, _repeated_metadataProps_codec);
+ break;
+ }
+ case 162: {
+ trainingInfo_.AddEntriesFrom(input, _repeated_trainingInfo_codec);
+ break;
+ }
+ case 802: {
+ functions_.AddEntriesFrom(input, _repeated_functions_codec);
+ break;
+ }
+ }
+ }
+ }
+
+ }
+
+ ///
+ /// StringStringEntryProto follows the pattern for cross-proto-version maps.
+ /// See https://developers.google.com/protocol-buffers/docs/proto3#maps
+ ///
+ public sealed partial class StringStringEntryProto : pb::IMessage {
+ private static readonly pb::MessageParser _parser = new pb::MessageParser(() => new StringStringEntryProto());
+ private pb::UnknownFieldSet _unknownFields;
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pb::MessageParser Parser { get { return _parser; } }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pbr::MessageDescriptor Descriptor {
+ get { return global::Onnx.OnnxMlReflection.Descriptor.MessageTypes[5]; }
+ }
+
+ [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);
+ }
+
+ /// Field number for the "key" field.
+ 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");
+ }
+ }
+
+ /// Field number for the "value" field.
+ 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 {
+ private static readonly pb::MessageParser _parser = new pb::MessageParser(() => new TensorAnnotation());
+ private pb::UnknownFieldSet _unknownFields;
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pb::MessageParser Parser { get { return _parser; } }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pbr::MessageDescriptor Descriptor {
+ get { return global::Onnx.OnnxMlReflection.Descriptor.MessageTypes[6]; }
+ }
+
+ [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);
+ }
+
+ /// Field number for the "tensor_name" field.
+ 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");
+ }
+ }
+
+ /// Field number for the "quant_parameter_tensor_names" field.
+ public const int QuantParameterTensorNamesFieldNumber = 2;
+ private static readonly pb::FieldCodec _repeated_quantParameterTensorNames_codec
+ = pb::FieldCodec.ForMessage(18, global::Onnx.StringStringEntryProto.Parser);
+ private readonly pbc::RepeatedField quantParameterTensorNames_ = new pbc::RepeatedField();
+ ///
+ /// <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.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField 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;
+ }
+ }
+ }
+ }
+
+ }
+
+ ///
+ /// 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.
+ ///
+ public sealed partial class GraphProto : pb::IMessage {
+ private static readonly pb::MessageParser _parser = new pb::MessageParser(() => new GraphProto());
+ private pb::UnknownFieldSet _unknownFields;
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pb::MessageParser Parser { get { return _parser; } }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pbr::MessageDescriptor Descriptor {
+ get { return global::Onnx.OnnxMlReflection.Descriptor.MessageTypes[7]; }
+ }
+
+ [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);
+ }
+
+ /// Field number for the "node" field.
+ public const int NodeFieldNumber = 1;
+ private static readonly pb::FieldCodec _repeated_node_codec
+ = pb::FieldCodec.ForMessage(10, global::Onnx.NodeProto.Parser);
+ private readonly pbc::RepeatedField node_ = new pbc::RepeatedField();
+ ///
+ /// The nodes in the graph, sorted topologically.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField Node {
+ get { return node_; }
+ }
+
+ /// Field number for the "name" field.
+ public const int NameFieldNumber = 2;
+ private string name_ = "";
+ ///
+ /// The name of the graph.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public string Name {
+ get { return name_; }
+ set {
+ name_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+ }
+ }
+
+ /// Field number for the "initializer" field.
+ public const int InitializerFieldNumber = 5;
+ private static readonly pb::FieldCodec _repeated_initializer_codec
+ = pb::FieldCodec.ForMessage(42, global::Onnx.TensorProto.Parser);
+ private readonly pbc::RepeatedField initializer_ = new pbc::RepeatedField();
+ ///
+ /// 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.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField Initializer {
+ get { return initializer_; }
+ }
+
+ /// Field number for the "sparse_initializer" field.
+ public const int SparseInitializerFieldNumber = 15;
+ private static readonly pb::FieldCodec _repeated_sparseInitializer_codec
+ = pb::FieldCodec.ForMessage(122, global::Onnx.SparseTensorProto.Parser);
+ private readonly pbc::RepeatedField sparseInitializer_ = new pbc::RepeatedField();
+ ///
+ /// Initializers (see above) stored in sparse format.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField SparseInitializer {
+ get { return sparseInitializer_; }
+ }
+
+ /// Field number for the "doc_string" field.
+ public const int DocStringFieldNumber = 10;
+ private string docString_ = "";
+ ///
+ /// A human-readable documentation for this graph. Markdown is allowed.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public string DocString {
+ get { return docString_; }
+ set {
+ docString_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+ }
+ }
+
+ /// Field number for the "input" field.
+ public const int InputFieldNumber = 11;
+ private static readonly pb::FieldCodec _repeated_input_codec
+ = pb::FieldCodec.ForMessage(90, global::Onnx.ValueInfoProto.Parser);
+ private readonly pbc::RepeatedField input_ = new pbc::RepeatedField();
+ ///
+ /// The inputs and outputs of the graph.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField Input {
+ get { return input_; }
+ }
+
+ /// Field number for the "output" field.
+ public const int OutputFieldNumber = 12;
+ private static readonly pb::FieldCodec _repeated_output_codec
+ = pb::FieldCodec.ForMessage(98, global::Onnx.ValueInfoProto.Parser);
+ private readonly pbc::RepeatedField output_ = new pbc::RepeatedField();
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField Output {
+ get { return output_; }
+ }
+
+ /// Field number for the "value_info" field.
+ public const int ValueInfoFieldNumber = 13;
+ private static readonly pb::FieldCodec _repeated_valueInfo_codec
+ = pb::FieldCodec.ForMessage(106, global::Onnx.ValueInfoProto.Parser);
+ private readonly pbc::RepeatedField valueInfo_ = new pbc::RepeatedField();
+ ///
+ /// 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.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField ValueInfo {
+ get { return valueInfo_; }
+ }
+
+ /// Field number for the "quantization_annotation" field.
+ public const int QuantizationAnnotationFieldNumber = 14;
+ private static readonly pb::FieldCodec _repeated_quantizationAnnotation_codec
+ = pb::FieldCodec.ForMessage(114, global::Onnx.TensorAnnotation.Parser);
+ private readonly pbc::RepeatedField quantizationAnnotation_ = new pbc::RepeatedField();
+ ///
+ /// 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.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField 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;
+ }
+ }
+ }
+ }
+
+ }
+
+ ///
+ /// Tensors
+ ///
+ /// A serialized tensor value.
+ ///
+ public sealed partial class TensorProto : pb::IMessage {
+ private static readonly pb::MessageParser _parser = new pb::MessageParser(() => new TensorProto());
+ private pb::UnknownFieldSet _unknownFields;
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pb::MessageParser Parser { get { return _parser; } }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pbr::MessageDescriptor Descriptor {
+ get { return global::Onnx.OnnxMlReflection.Descriptor.MessageTypes[8]; }
+ }
+
+ [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);
+ }
+
+ /// Field number for the "dims" field.
+ public const int DimsFieldNumber = 1;
+ private static readonly pb::FieldCodec _repeated_dims_codec
+ = pb::FieldCodec.ForInt64(10);
+ private readonly pbc::RepeatedField dims_ = new pbc::RepeatedField();
+ ///
+ /// The shape of the tensor.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField Dims {
+ get { return dims_; }
+ }
+
+ /// Field number for the "data_type" field.
+ public const int DataTypeFieldNumber = 2;
+ private int dataType_;
+ ///
+ /// The data type of the tensor.
+ /// This field MUST have a valid TensorProto.DataType value
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public int DataType {
+ get { return dataType_; }
+ set {
+ dataType_ = value;
+ }
+ }
+
+ /// Field number for the "segment" field.
+ public const int SegmentFieldNumber = 3;
+ private global::Onnx.TensorProto.Types.Segment segment_;
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public global::Onnx.TensorProto.Types.Segment Segment {
+ get { return segment_; }
+ set {
+ segment_ = value;
+ }
+ }
+
+ /// Field number for the "float_data" field.
+ public const int FloatDataFieldNumber = 4;
+ private static readonly pb::FieldCodec _repeated_floatData_codec
+ = pb::FieldCodec.ForFloat(34);
+ private readonly pbc::RepeatedField floatData_ = new pbc::RepeatedField();
+ ///
+ /// 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.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField FloatData {
+ get { return floatData_; }
+ }
+
+ /// Field number for the "int32_data" field.
+ public const int Int32DataFieldNumber = 5;
+ private static readonly pb::FieldCodec _repeated_int32Data_codec
+ = pb::FieldCodec.ForInt32(42);
+ private readonly pbc::RepeatedField int32Data_ = new pbc::RepeatedField();
+ ///
+ /// 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
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField Int32Data {
+ get { return int32Data_; }
+ }
+
+ /// Field number for the "string_data" field.
+ public const int StringDataFieldNumber = 6;
+ private static readonly pb::FieldCodec _repeated_stringData_codec
+ = pb::FieldCodec.ForBytes(50);
+ private readonly pbc::RepeatedField stringData_ = new pbc::RepeatedField();
+ ///
+ /// 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
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField StringData {
+ get { return stringData_; }
+ }
+
+ /// Field number for the "int64_data" field.
+ public const int Int64DataFieldNumber = 7;
+ private static readonly pb::FieldCodec _repeated_int64Data_codec
+ = pb::FieldCodec.ForInt64(58);
+ private readonly pbc::RepeatedField int64Data_ = new pbc::RepeatedField();
+ ///
+ /// For int64.
+ /// When this field is present, the data_type field MUST be INT64
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField Int64Data {
+ get { return int64Data_; }
+ }
+
+ /// Field number for the "name" field.
+ public const int NameFieldNumber = 8;
+ private string name_ = "";
+ ///
+ /// Optionally, a name for the tensor.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public string Name {
+ get { return name_; }
+ set {
+ name_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+ }
+ }
+
+ /// Field number for the "doc_string" field.
+ public const int DocStringFieldNumber = 12;
+ private string docString_ = "";
+ ///
+ /// A human-readable documentation for this tensor. Markdown is allowed.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public string DocString {
+ get { return docString_; }
+ set {
+ docString_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+ }
+ }
+
+ /// Field number for the "raw_data" field.
+ public const int RawDataFieldNumber = 9;
+ private pb::ByteString rawData_ = pb::ByteString.Empty;
+ ///
+ /// 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
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pb::ByteString RawData {
+ get { return rawData_; }
+ set {
+ rawData_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+ }
+ }
+
+ /// Field number for the "external_data" field.
+ public const int ExternalDataFieldNumber = 13;
+ private static readonly pb::FieldCodec _repeated_externalData_codec
+ = pb::FieldCodec.ForMessage(106, global::Onnx.StringStringEntryProto.Parser);
+ private readonly pbc::RepeatedField externalData_ = new pbc::RepeatedField();
+ ///
+ /// 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.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField ExternalData {
+ get { return externalData_; }
+ }
+
+ /// Field number for the "data_location" field.
+ public const int DataLocationFieldNumber = 14;
+ private global::Onnx.TensorProto.Types.DataLocation dataLocation_ = global::Onnx.TensorProto.Types.DataLocation.Default;
+ ///
+ /// If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public global::Onnx.TensorProto.Types.DataLocation DataLocation {
+ get { return dataLocation_; }
+ set {
+ dataLocation_ = value;
+ }
+ }
+
+ /// Field number for the "double_data" field.
+ public const int DoubleDataFieldNumber = 10;
+ private static readonly pb::FieldCodec _repeated_doubleData_codec
+ = pb::FieldCodec.ForDouble(82);
+ private readonly pbc::RepeatedField doubleData_ = new pbc::RepeatedField();
+ ///
+ /// 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
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField DoubleData {
+ get { return doubleData_; }
+ }
+
+ /// Field number for the "uint64_data" field.
+ public const int Uint64DataFieldNumber = 11;
+ private static readonly pb::FieldCodec _repeated_uint64Data_codec
+ = pb::FieldCodec.ForUInt64(90);
+ private readonly pbc::RepeatedField uint64Data_ = new pbc::RepeatedField();
+ ///
+ /// For uint64 and uint32 values
+ /// When this field is present, the data_type field MUST be
+ /// UINT32 or UINT64
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField 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::Onnx.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::Onnx.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::Onnx.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::Onnx.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::Onnx.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::Onnx.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::Onnx.TensorProto.Types.DataLocation) input.ReadEnum();
+ break;
+ }
+ }
+ }
+ }
+
+ #region Nested types
+ /// Container for nested types declared in the TensorProto message type.
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static partial class Types {
+ public enum DataType {
+ [pbr::OriginalName("UNDEFINED")] Undefined = 0,
+ ///
+ /// Basic types.
+ ///
+ [pbr::OriginalName("FLOAT")] Float = 1,
+ ///
+ /// uint8_t
+ ///
+ [pbr::OriginalName("UINT8")] Uint8 = 2,
+ ///
+ /// int8_t
+ ///
+ [pbr::OriginalName("INT8")] Int8 = 3,
+ ///
+ /// uint16_t
+ ///
+ [pbr::OriginalName("UINT16")] Uint16 = 4,
+ ///
+ /// int16_t
+ ///
+ [pbr::OriginalName("INT16")] Int16 = 5,
+ ///
+ /// int32_t
+ ///
+ [pbr::OriginalName("INT32")] Int32 = 6,
+ ///
+ /// int64_t
+ ///
+ [pbr::OriginalName("INT64")] Int64 = 7,
+ ///
+ /// string
+ ///
+ [pbr::OriginalName("STRING")] String = 8,
+ ///
+ /// bool
+ ///
+ [pbr::OriginalName("BOOL")] Bool = 9,
+ ///
+ /// IEEE754 half-precision floating-point format (16 bits wide).
+ /// This format has 1 sign bit, 5 exponent bits, and 10 mantissa bits.
+ ///
+ [pbr::OriginalName("FLOAT16")] Float16 = 10,
+ [pbr::OriginalName("DOUBLE")] Double = 11,
+ [pbr::OriginalName("UINT32")] Uint32 = 12,
+ [pbr::OriginalName("UINT64")] Uint64 = 13,
+ ///
+ /// complex with float32 real and imaginary components
+ ///
+ [pbr::OriginalName("COMPLEX64")] Complex64 = 14,
+ ///
+ /// complex with float64 real and imaginary components
+ ///
+ [pbr::OriginalName("COMPLEX128")] Complex128 = 15,
+ ///
+ /// 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.
+ ///
+ [pbr::OriginalName("BFLOAT16")] Bfloat16 = 16,
+ }
+
+ ///
+ /// 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.
+ ///
+ public enum DataLocation {
+ [pbr::OriginalName("DEFAULT")] Default = 0,
+ [pbr::OriginalName("EXTERNAL")] External = 1,
+ }
+
+ ///
+ /// 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.
+ ///
+ public sealed partial class Segment : pb::IMessage {
+ private static readonly pb::MessageParser _parser = new pb::MessageParser(() => new Segment());
+ private pb::UnknownFieldSet _unknownFields;
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pb::MessageParser Parser { get { return _parser; } }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pbr::MessageDescriptor Descriptor {
+ get { return global::Onnx.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);
+ }
+
+ /// Field number for the "begin" field.
+ public const int BeginFieldNumber = 1;
+ private long begin_;
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public long Begin {
+ get { return begin_; }
+ set {
+ begin_ = value;
+ }
+ }
+
+ /// Field number for the "end" field.
+ 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
+
+ }
+
+ ///
+ /// A serialized sparse-tensor value
+ ///
+ public sealed partial class SparseTensorProto : pb::IMessage {
+ private static readonly pb::MessageParser _parser = new pb::MessageParser(() => new SparseTensorProto());
+ private pb::UnknownFieldSet _unknownFields;
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pb::MessageParser Parser { get { return _parser; } }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pbr::MessageDescriptor Descriptor {
+ get { return global::Onnx.OnnxMlReflection.Descriptor.MessageTypes[9]; }
+ }
+
+ [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);
+ }
+
+ /// Field number for the "values" field.
+ public const int ValuesFieldNumber = 1;
+ private global::Onnx.TensorProto values_;
+ ///
+ /// 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.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public global::Onnx.TensorProto Values {
+ get { return values_; }
+ set {
+ values_ = value;
+ }
+ }
+
+ /// Field number for the "indices" field.
+ public const int IndicesFieldNumber = 2;
+ private global::Onnx.TensorProto indices_;
+ ///
+ /// 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]
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public global::Onnx.TensorProto Indices {
+ get { return indices_; }
+ set {
+ indices_ = value;
+ }
+ }
+
+ /// Field number for the "dims" field.
+ public const int DimsFieldNumber = 3;
+ private static readonly pb::FieldCodec _repeated_dims_codec
+ = pb::FieldCodec.ForInt64(26);
+ private readonly pbc::RepeatedField dims_ = new pbc::RepeatedField();
+ ///
+ /// The shape of the underlying dense-tensor: [dim_1, dim_2, ... dim_rank]
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField 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::Onnx.TensorProto();
+ }
+ Values.MergeFrom(other.Values);
+ }
+ if (other.indices_ != null) {
+ if (indices_ == null) {
+ Indices = new global::Onnx.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::Onnx.TensorProto();
+ }
+ input.ReadMessage(Values);
+ break;
+ }
+ case 18: {
+ if (indices_ == null) {
+ Indices = new global::Onnx.TensorProto();
+ }
+ input.ReadMessage(Indices);
+ break;
+ }
+ case 26:
+ case 24: {
+ dims_.AddEntriesFrom(input, _repeated_dims_codec);
+ break;
+ }
+ }
+ }
+ }
+
+ }
+
+ ///
+ /// Defines a tensor shape. A dimension can be either an integer value
+ /// or a symbolic variable. A symbolic variable represents an unknown
+ /// dimension.
+ ///
+ public sealed partial class TensorShapeProto : pb::IMessage {
+ private static readonly pb::MessageParser _parser = new pb::MessageParser(() => new TensorShapeProto());
+ private pb::UnknownFieldSet _unknownFields;
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pb::MessageParser Parser { get { return _parser; } }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pbr::MessageDescriptor Descriptor {
+ get { return global::Onnx.OnnxMlReflection.Descriptor.MessageTypes[10]; }
+ }
+
+ [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);
+ }
+
+ /// Field number for the "dim" field.
+ public const int DimFieldNumber = 1;
+ private static readonly pb::FieldCodec _repeated_dim_codec
+ = pb::FieldCodec.ForMessage(10, global::Onnx.TensorShapeProto.Types.Dimension.Parser);
+ private readonly pbc::RepeatedField dim_ = new pbc::RepeatedField();
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public pbc::RepeatedField 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
+ /// Container for nested types declared in the TensorShapeProto message type.
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static partial class Types {
+ public sealed partial class Dimension : pb::IMessage {
+ private static readonly pb::MessageParser _parser = new pb::MessageParser(() => new Dimension());
+ private pb::UnknownFieldSet _unknownFields;
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pb::MessageParser Parser { get { return _parser; } }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pbr::MessageDescriptor Descriptor {
+ get { return global::Onnx.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);
+ }
+
+ /// Field number for the "dim_value" field.
+ 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;
+ }
+ }
+
+ /// Field number for the "dim_param" field.
+ public const int DimParamFieldNumber = 2;
+ ///
+ /// namespace Shape
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public string DimParam {
+ get { return valueCase_ == ValueOneofCase.DimParam ? (string) value_ : ""; }
+ set {
+ value_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+ valueCase_ = ValueOneofCase.DimParam;
+ }
+ }
+
+ /// Field number for the "denotation" field.
+ public const int DenotationFieldNumber = 3;
+ private string denotation_ = "";
+ ///
+ /// 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.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public string Denotation {
+ get { return denotation_; }
+ set {
+ denotation_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+ }
+ }
+
+ private object value_;
+ /// Enum of possible cases for the "value" oneof.
+ 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
+
+ }
+
+ ///
+ /// Types
+ ///
+ /// The standard ONNX data types.
+ ///
+ public sealed partial class TypeProto : pb::IMessage {
+ private static readonly pb::MessageParser _parser = new pb::MessageParser(() => new TypeProto());
+ private pb::UnknownFieldSet _unknownFields;
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pb::MessageParser Parser { get { return _parser; } }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pbr::MessageDescriptor Descriptor {
+ get { return global::Onnx.OnnxMlReflection.Descriptor.MessageTypes[11]; }
+ }
+
+ [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);
+ }
+
+ /// Field number for the "tensor_type" field.
+ public const int TensorTypeFieldNumber = 1;
+ ///
+ /// The type of a tensor.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public global::Onnx.TypeProto.Types.Tensor TensorType {
+ get { return valueCase_ == ValueOneofCase.TensorType ? (global::Onnx.TypeProto.Types.Tensor) value_ : null; }
+ set {
+ value_ = value;
+ valueCase_ = value == null ? ValueOneofCase.None : ValueOneofCase.TensorType;
+ }
+ }
+
+ /// Field number for the "sequence_type" field.
+ public const int SequenceTypeFieldNumber = 4;
+ ///
+ /// The type of a sequence.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public global::Onnx.TypeProto.Types.Sequence SequenceType {
+ get { return valueCase_ == ValueOneofCase.SequenceType ? (global::Onnx.TypeProto.Types.Sequence) value_ : null; }
+ set {
+ value_ = value;
+ valueCase_ = value == null ? ValueOneofCase.None : ValueOneofCase.SequenceType;
+ }
+ }
+
+ /// Field number for the "map_type" field.
+ public const int MapTypeFieldNumber = 5;
+ ///
+ /// The type of a map.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public global::Onnx.TypeProto.Types.Map MapType {
+ get { return valueCase_ == ValueOneofCase.MapType ? (global::Onnx.TypeProto.Types.Map) value_ : null; }
+ set {
+ value_ = value;
+ valueCase_ = value == null ? ValueOneofCase.None : ValueOneofCase.MapType;
+ }
+ }
+
+ /// Field number for the "sparse_tensor_type" field.
+ public const int SparseTensorTypeFieldNumber = 8;
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public global::Onnx.TypeProto.Types.SparseTensor SparseTensorType {
+ get { return valueCase_ == ValueOneofCase.SparseTensorType ? (global::Onnx.TypeProto.Types.SparseTensor) value_ : null; }
+ set {
+ value_ = value;
+ valueCase_ = value == null ? ValueOneofCase.None : ValueOneofCase.SparseTensorType;
+ }
+ }
+
+ /// Field number for the "opaque_type" field.
+ public const int OpaqueTypeFieldNumber = 7;
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public global::Onnx.TypeProto.Types.Opaque OpaqueType {
+ get { return valueCase_ == ValueOneofCase.OpaqueType ? (global::Onnx.TypeProto.Types.Opaque) value_ : null; }
+ set {
+ value_ = value;
+ valueCase_ = value == null ? ValueOneofCase.None : ValueOneofCase.OpaqueType;
+ }
+ }
+
+ /// Field number for the "denotation" field.
+ public const int DenotationFieldNumber = 6;
+ private string denotation_ = "";
+ ///
+ /// 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.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public string Denotation {
+ get { return denotation_; }
+ set {
+ denotation_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+ }
+ }
+
+ private object value_;
+ /// Enum of possible cases for the "value" oneof.
+ 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::Onnx.TypeProto.Types.Tensor();
+ }
+ TensorType.MergeFrom(other.TensorType);
+ break;
+ case ValueOneofCase.SequenceType:
+ if (SequenceType == null) {
+ SequenceType = new global::Onnx.TypeProto.Types.Sequence();
+ }
+ SequenceType.MergeFrom(other.SequenceType);
+ break;
+ case ValueOneofCase.MapType:
+ if (MapType == null) {
+ MapType = new global::Onnx.TypeProto.Types.Map();
+ }
+ MapType.MergeFrom(other.MapType);
+ break;
+ case ValueOneofCase.SparseTensorType:
+ if (SparseTensorType == null) {
+ SparseTensorType = new global::Onnx.TypeProto.Types.SparseTensor();
+ }
+ SparseTensorType.MergeFrom(other.SparseTensorType);
+ break;
+ case ValueOneofCase.OpaqueType:
+ if (OpaqueType == null) {
+ OpaqueType = new global::Onnx.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::Onnx.TypeProto.Types.Tensor subBuilder = new global::Onnx.TypeProto.Types.Tensor();
+ if (valueCase_ == ValueOneofCase.TensorType) {
+ subBuilder.MergeFrom(TensorType);
+ }
+ input.ReadMessage(subBuilder);
+ TensorType = subBuilder;
+ break;
+ }
+ case 34: {
+ global::Onnx.TypeProto.Types.Sequence subBuilder = new global::Onnx.TypeProto.Types.Sequence();
+ if (valueCase_ == ValueOneofCase.SequenceType) {
+ subBuilder.MergeFrom(SequenceType);
+ }
+ input.ReadMessage(subBuilder);
+ SequenceType = subBuilder;
+ break;
+ }
+ case 42: {
+ global::Onnx.TypeProto.Types.Map subBuilder = new global::Onnx.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::Onnx.TypeProto.Types.Opaque subBuilder = new global::Onnx.TypeProto.Types.Opaque();
+ if (valueCase_ == ValueOneofCase.OpaqueType) {
+ subBuilder.MergeFrom(OpaqueType);
+ }
+ input.ReadMessage(subBuilder);
+ OpaqueType = subBuilder;
+ break;
+ }
+ case 66: {
+ global::Onnx.TypeProto.Types.SparseTensor subBuilder = new global::Onnx.TypeProto.Types.SparseTensor();
+ if (valueCase_ == ValueOneofCase.SparseTensorType) {
+ subBuilder.MergeFrom(SparseTensorType);
+ }
+ input.ReadMessage(subBuilder);
+ SparseTensorType = subBuilder;
+ break;
+ }
+ }
+ }
+ }
+
+ #region Nested types
+ /// Container for nested types declared in the TypeProto message type.
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static partial class Types {
+ public sealed partial class Tensor : pb::IMessage {
+ private static readonly pb::MessageParser _parser = new pb::MessageParser(() => new Tensor());
+ private pb::UnknownFieldSet _unknownFields;
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pb::MessageParser Parser { get { return _parser; } }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pbr::MessageDescriptor Descriptor {
+ get { return global::Onnx.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);
+ }
+
+ /// Field number for the "elem_type" field.
+ public const int ElemTypeFieldNumber = 1;
+ private int elemType_;
+ ///
+ /// 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.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public int ElemType {
+ get { return elemType_; }
+ set {
+ elemType_ = value;
+ }
+ }
+
+ /// Field number for the "shape" field.
+ public const int ShapeFieldNumber = 2;
+ private global::Onnx.TensorShapeProto shape_;
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public global::Onnx.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::Onnx.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::Onnx.TensorShapeProto();
+ }
+ input.ReadMessage(Shape);
+ break;
+ }
+ }
+ }
+ }
+
+ }
+
+ ///
+ /// repeated T
+ ///
+ public sealed partial class Sequence : pb::IMessage {
+ private static readonly pb::MessageParser _parser = new pb::MessageParser(() => new Sequence());
+ private pb::UnknownFieldSet _unknownFields;
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pb::MessageParser Parser { get { return _parser; } }
+
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public static pbr::MessageDescriptor Descriptor {
+ get { return global::Onnx.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);
+ }
+
+ /// Field number for the "elem_type" field.
+ public const int ElemTypeFieldNumber = 1;
+ private global::Onnx.TypeProto elemType_;
+ ///
+ /// The type and optional shape of each element of the sequence.
+ /// This field MUST be present for this version of the IR.
+ ///
+ [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+ public global::Onnx.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::Onnx.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::Onnx.TypeProto();
+ }
+ input.ReadMessage(ElemType);
+ break;
+ }
+ }
+ }
+ }
+
+ }
+
+ ///
+ /// map<K,V>
+ ///
+ public sealed partial class Map : pb::IMessage