TensorFlow.NET/src/TensorFlowNET.Core/Protobuf/TensorShape.cs at master · AlfRjw/TensorFlow.NET · GitHub

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// <auto-generated>

// Generated by the protocol buffer compiler. DO NOT EDIT!

// source: tensor_shape.proto

// </auto-generated>

#pragma warning disable 1591, 0612, 3021

#region Designer generated code

using pb = global::Google.Protobuf;

using pbc = global::Google.Protobuf.Collections;

using pbr = global::Google.Protobuf.Reflection;

using scg = global::System.Collections.Generic;

namespace Tensorflow {

/// <summary>Holder for reflection information generated from tensor_shape.proto</summary>

public static partial class TensorShapeReflection {

#region Descriptor

/// <summary>File descriptor for tensor_shape.proto</summary>

public static pbr::FileDescriptor Descriptor {

get { return descriptor; }

}

private static pbr::FileDescriptor descriptor;

static TensorShapeReflection() {

byte[] descriptorData = global::System.Convert.FromBase64String(

string.Concat(

"ChJ0ZW5zb3Jfc2hhcGUucHJvdG8SCnRlbnNvcmZsb3ciegoQVGVuc29yU2hh",

"cGVQcm90bxItCgNkaW0YAiADKAsyIC50ZW5zb3JmbG93LlRlbnNvclNoYXBl",

"UHJvdG8uRGltEhQKDHVua25vd25fcmFuaxgDIAEoCBohCgNEaW0SDAoEc2l6",

"ZRgBIAEoAxIMCgRuYW1lGAIgASgJQnEKGG9yZy50ZW5zb3JmbG93LmZyYW1l",

"d29ya0IRVGVuc29yU2hhcGVQcm90b3NQAVo9Z2l0aHViLmNvbS90ZW5zb3Jm",

"bG93L3RlbnNvcmZsb3cvdGVuc29yZmxvdy9nby9jb3JlL2ZyYW1ld29ya/gB",

"AWIGcHJvdG8z"));

descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,

new pbr::FileDescriptor[] { },

new pbr::GeneratedClrTypeInfo(null, new pbr::GeneratedClrTypeInfo[] {

new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.TensorShapeProto), global::Tensorflow.TensorShapeProto.Parser, new[]{ "Dim", "UnknownRank" }, null, null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.TensorShapeProto.Types.Dim), global::Tensorflow.TensorShapeProto.Types.Dim.Parser, new[]{ "Size", "Name" }, null, null, null)})

}));

}

#endregion

}

#region Messages

/// <summary>

/// Dimensions of a tensor.

/// </summary>

public sealed partial class TensorShapeProto : pb::IMessage<TensorShapeProto> {

private static readonly pb::MessageParser<TensorShapeProto> _parser = new pb::MessageParser<TensorShapeProto>(() => new TensorShapeProto());

private pb::UnknownFieldSet _unknownFields;

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public static pb::MessageParser<TensorShapeProto> Parser { get { return _parser; } }

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public static pbr::MessageDescriptor Descriptor {

get { return global::Tensorflow.TensorShapeReflection.Descriptor.MessageTypes[0]; }

}

[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();

unknownRank_ = other.unknownRank_;

_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public TensorShapeProto Clone() {

return new TensorShapeProto(this);

}

/// <summary>Field number for the "dim" field.</summary>

public const int DimFieldNumber = 2;

private static readonly pb::FieldCodec<global::Tensorflow.TensorShapeProto.Types.Dim> _repeated_dim_codec

= pb::FieldCodec.ForMessage(18, global::Tensorflow.TensorShapeProto.Types.Dim.Parser);

private readonly pbc::RepeatedField<global::Tensorflow.TensorShapeProto.Types.Dim> dim_ = new pbc::RepeatedField<global::Tensorflow.TensorShapeProto.Types.Dim>();

/// <summary>

/// Dimensions of the tensor, such as {"input", 30}, {"output", 40}

/// for a 30 x 40 2D tensor. If an entry has size -1, this

/// corresponds to a dimension of unknown size. The names are

/// optional.

///

/// The order of entries in "dim" matters: It indicates the layout of the

/// values in the tensor in-memory representation.

///

/// The first entry in "dim" is the outermost dimension used to layout the

/// values, the last entry is the innermost dimension. This matches the

/// in-memory layout of RowMajor Eigen tensors.

///

/// If "dim.size()" > 0, "unknown_rank" must be false.

/// </summary>

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public pbc::RepeatedField<global::Tensorflow.TensorShapeProto.Types.Dim> Dim {

get { return dim_; }

}

/// <summary>Field number for the "unknown_rank" field.</summary>

public const int UnknownRankFieldNumber = 3;

private bool unknownRank_;

/// <summary>

/// If true, the number of dimensions in the shape is unknown.

///

/// If true, "dim.size()" must be 0.

/// </summary>

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public bool UnknownRank {

get { return unknownRank_; }

set {

unknownRank_ = value;

}

[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;

if (UnknownRank != other.UnknownRank) return false;

return Equals(_unknownFields, other._unknownFields);

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public override int GetHashCode() {

int hash = 1;

hash ^= dim_.GetHashCode();

if (UnknownRank != false) hash ^= UnknownRank.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 (UnknownRank != false) {

output.WriteRawTag(24);

output.WriteBool(UnknownRank);

}

if (_unknownFields != null) {

_unknownFields.WriteTo(output);

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public int CalculateSize() {

int size = 0;

size += dim_.CalculateSize(_repeated_dim_codec);

if (UnknownRank != false) {

size += 1 + 1;

}

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_);

if (other.UnknownRank != false) {

UnknownRank = other.UnknownRank;

}

_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 18: {

dim_.AddEntriesFrom(input, _repeated_dim_codec);

break;

}

case 24: {

UnknownRank = input.ReadBool();

break;

}

#region Nested types

/// <summary>Container for nested types declared in the TensorShapeProto message type.</summary>

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public static partial class Types {

/// <summary>

/// One dimension of the tensor.

/// </summary>

public sealed partial class Dim : pb::IMessage<Dim> {

private static readonly pb::MessageParser<Dim> _parser = new pb::MessageParser<Dim>(() => new Dim());

private pb::UnknownFieldSet _unknownFields;

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public static pb::MessageParser<Dim> Parser { get { return _parser; } }

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public static pbr::MessageDescriptor Descriptor {

get { return global::Tensorflow.TensorShapeProto.Descriptor.NestedTypes[0]; }

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

pbr::MessageDescriptor pb::IMessage.Descriptor {

get { return Descriptor; }

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public Dim() {

OnConstruction();

}

partial void OnConstruction();

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public Dim(Dim other) : this() {

size_ = other.size_;

name_ = other.name_;

_unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public Dim Clone() {

return new Dim(this);

}

/// <summary>Field number for the "size" field.</summary>

public const int SizeFieldNumber = 1;

private long size_;

/// <summary>

/// Size of the tensor in that dimension.

/// This value must be >= -1, but values of -1 are reserved for "unknown"

/// shapes (values of -1 mean "unknown" dimension). Certain wrappers

/// that work with TensorShapeProto may fail at runtime when deserializing

/// a TensorShapeProto containing a dim value of -1.

/// </summary>

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public long Size {

get { return size_; }

set {

size_ = value;

}

/// <summary>Field number for the "name" field.</summary>

public const int NameFieldNumber = 2;

private string name_ = "";

/// <summary>

/// Optional name of the tensor dimension.

/// </summary>

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public string Name {

get { return name_; }

set {

name_ = pb::ProtoPreconditions.CheckNotNull(value, "value");

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public override bool Equals(object other) {

return Equals(other as Dim);

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public bool Equals(Dim other) {

if (ReferenceEquals(other, null)) {

return false;

}

if (ReferenceEquals(other, this)) {

return true;

}

if (Size != other.Size) return false;

if (Name != other.Name) return false;

return Equals(_unknownFields, other._unknownFields);

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public override int GetHashCode() {

int hash = 1;

if (Size != 0L) hash ^= Size.GetHashCode();

if (Name.Length != 0) hash ^= Name.GetHashCode();

if (_unknownFields != null) {

hash ^= _unknownFields.GetHashCode();

}

return hash;

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public override string ToString() {

return pb::JsonFormatter.ToDiagnosticString(this);

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public void WriteTo(pb::CodedOutputStream output) {

if (Size != 0L) {

output.WriteRawTag(8);

output.WriteInt64(Size);

}

if (Name.Length != 0) {

output.WriteRawTag(18);

output.WriteString(Name);

}

if (_unknownFields != null) {

_unknownFields.WriteTo(output);

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public int CalculateSize() {

int size = 0;

if (Size != 0L) {

size += 1 + pb::CodedOutputStream.ComputeInt64Size(Size);

}

if (Name.Length != 0) {

size += 1 + pb::CodedOutputStream.ComputeStringSize(Name);

}

if (_unknownFields != null) {

size += _unknownFields.CalculateSize();

}

return size;

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public void MergeFrom(Dim other) {

if (other == null) {

return;

}

if (other.Size != 0L) {

Size = other.Size;

}

if (other.Name.Length != 0) {

Name = other.Name;

}

_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public void MergeFrom(pb::CodedInputStream input) {

uint tag;

while ((tag = input.ReadTag()) != 0) {

switch(tag) {

default:

_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);

break;

case 8: {

Size = input.ReadInt64();

break;

}

case 18: {

Name = input.ReadString();

break;

}

#endregion

}

#endregion

}

#endregion Designer generated code

TensorFlow.NET/src/TensorFlowNET.Core/Protobuf/TensorShape.cs at master · AlfRjw/TensorFlow.NET · GitHub

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