TensorFlow.NET/src/TensorFlowNET.Core/Protobuf/Saver.cs at master · nhirschey/TensorFlow.NET · GitHub

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// <auto-generated>

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

// source: tensorflow/core/protobuf/saver.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 tensorflow/core/protobuf/saver.proto</summary>

public static partial class SaverReflection {

#region Descriptor

/// <summary>File descriptor for tensorflow/core/protobuf/saver.proto</summary>

public static pbr::FileDescriptor Descriptor {

get { return descriptor; }

}

private static pbr::FileDescriptor descriptor;

static SaverReflection() {

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

string.Concat(

"CiR0ZW5zb3JmbG93L2NvcmUvcHJvdG9idWYvc2F2ZXIucHJvdG8SCnRlbnNv",

"cmZsb3cingIKCFNhdmVyRGVmEhwKFGZpbGVuYW1lX3RlbnNvcl9uYW1lGAEg",

"ASgJEhgKEHNhdmVfdGVuc29yX25hbWUYAiABKAkSFwoPcmVzdG9yZV9vcF9u",

"YW1lGAMgASgJEhMKC21heF90b19rZWVwGAQgASgFEg8KB3NoYXJkZWQYBSAB",

"KAgSJQoda2VlcF9jaGVja3BvaW50X2V2ZXJ5X25faG91cnMYBiABKAISPQoH",

"dmVyc2lvbhgHIAEoDjIsLnRlbnNvcmZsb3cuU2F2ZXJEZWYuQ2hlY2twb2lu",

"dEZvcm1hdFZlcnNpb24iNQoXQ2hlY2twb2ludEZvcm1hdFZlcnNpb24SCgoG",

"TEVHQUNZEAASBgoCVjEQARIGCgJWMhACQnEKE29yZy50ZW5zb3JmbG93LnV0",

"aWxCC1NhdmVyUHJvdG9zUAFaSGdpdGh1Yi5jb20vdGVuc29yZmxvdy90ZW5z",

"b3JmbG93L3RlbnNvcmZsb3cvZ28vY29yZS9jb3JlX3Byb3Rvc19nb19wcm90",

"b/gBAWIGcHJvdG8z"));

descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,

new pbr::FileDescriptor[] { },

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

new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.SaverDef), global::Tensorflow.SaverDef.Parser, new[]{ "FilenameTensorName", "SaveTensorName", "RestoreOpName", "MaxToKeep", "Sharded", "KeepCheckpointEveryNHours", "Version" }, null, new[]{ typeof(global::Tensorflow.SaverDef.Types.CheckpointFormatVersion) }, null, null)

}));

}

#endregion

}

#region Messages

/// <summary>

/// Protocol buffer representing the configuration of a Saver.

/// </summary>

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

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

private pb::UnknownFieldSet _unknownFields;

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

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

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public static pbr::MessageDescriptor Descriptor {

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

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

pbr::MessageDescriptor pb::IMessage.Descriptor {

get { return Descriptor; }

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public SaverDef() {

OnConstruction();

}

partial void OnConstruction();

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public SaverDef(SaverDef other) : this() {

filenameTensorName_ = other.filenameTensorName_;

saveTensorName_ = other.saveTensorName_;

restoreOpName_ = other.restoreOpName_;

maxToKeep_ = other.maxToKeep_;

sharded_ = other.sharded_;

keepCheckpointEveryNHours_ = other.keepCheckpointEveryNHours_;

version_ = other.version_;

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

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public SaverDef Clone() {

return new SaverDef(this);

}

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

public const int FilenameTensorNameFieldNumber = 1;

private string filenameTensorName_ = "";

/// <summary>

/// The name of the tensor in which to specify the filename when saving or

/// restoring a model checkpoint.

/// </summary>

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public string FilenameTensorName {

get { return filenameTensorName_; }

set {

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

}

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

public const int SaveTensorNameFieldNumber = 2;

private string saveTensorName_ = "";

/// <summary>

/// The operation to run when saving a model checkpoint.

/// </summary>

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public string SaveTensorName {

get { return saveTensorName_; }

set {

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

}

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

public const int RestoreOpNameFieldNumber = 3;

private string restoreOpName_ = "";

/// <summary>

/// The operation to run when restoring a model checkpoint.

/// </summary>

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public string RestoreOpName {

get { return restoreOpName_; }

set {

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

}

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

public const int MaxToKeepFieldNumber = 4;

private int maxToKeep_;

/// <summary>

/// Maximum number of checkpoints to keep. If 0, no checkpoints are deleted.

/// </summary>

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public int MaxToKeep {

get { return maxToKeep_; }

set {

maxToKeep_ = value;

}

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

public const int ShardedFieldNumber = 5;

private bool sharded_;

/// <summary>

/// Shard the save files, one per device that has Variable nodes.

/// </summary>

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public bool Sharded {

get { return sharded_; }

set {

sharded_ = value;

}

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

public const int KeepCheckpointEveryNHoursFieldNumber = 6;

private float keepCheckpointEveryNHours_;

/// <summary>

/// How often to keep an additional checkpoint. If not specified, only the last

/// "max_to_keep" checkpoints are kept; if specified, in addition to keeping

/// the last "max_to_keep" checkpoints, an additional checkpoint will be kept

/// for every n hours of training.

/// </summary>

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public float KeepCheckpointEveryNHours {

get { return keepCheckpointEveryNHours_; }

set {

keepCheckpointEveryNHours_ = value;

}

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

public const int VersionFieldNumber = 7;

private global::Tensorflow.SaverDef.Types.CheckpointFormatVersion version_ = global::Tensorflow.SaverDef.Types.CheckpointFormatVersion.Legacy;

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public global::Tensorflow.SaverDef.Types.CheckpointFormatVersion Version {

get { return version_; }

set {

version_ = value;

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public override bool Equals(object other) {

return Equals(other as SaverDef);

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public bool Equals(SaverDef other) {

if (ReferenceEquals(other, null)) {

return false;

}

if (ReferenceEquals(other, this)) {

return true;

}

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

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

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

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

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

if (!pbc::ProtobufEqualityComparers.BitwiseSingleEqualityComparer.Equals(KeepCheckpointEveryNHours, other.KeepCheckpointEveryNHours)) return false;

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

return Equals(_unknownFields, other._unknownFields);

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public override int GetHashCode() {

int hash = 1;

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

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

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

if (MaxToKeep != 0) hash ^= MaxToKeep.GetHashCode();

if (Sharded != false) hash ^= Sharded.GetHashCode();

if (KeepCheckpointEveryNHours != 0F) hash ^= pbc::ProtobufEqualityComparers.BitwiseSingleEqualityComparer.GetHashCode(KeepCheckpointEveryNHours);

if (Version != global::Tensorflow.SaverDef.Types.CheckpointFormatVersion.Legacy) hash ^= Version.GetHashCode();

if (_unknownFields != null) {

hash ^= _unknownFields.GetHashCode();

}

return hash;

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public override string ToString() {

return pb::JsonFormatter.ToDiagnosticString(this);

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public void WriteTo(pb::CodedOutputStream output) {

if (FilenameTensorName.Length != 0) {

output.WriteRawTag(10);

output.WriteString(FilenameTensorName);

}

if (SaveTensorName.Length != 0) {

output.WriteRawTag(18);

output.WriteString(SaveTensorName);

}

if (RestoreOpName.Length != 0) {

output.WriteRawTag(26);

output.WriteString(RestoreOpName);

}

if (MaxToKeep != 0) {

output.WriteRawTag(32);

output.WriteInt32(MaxToKeep);

}

if (Sharded != false) {

output.WriteRawTag(40);

output.WriteBool(Sharded);

}

if (KeepCheckpointEveryNHours != 0F) {

output.WriteRawTag(53);

output.WriteFloat(KeepCheckpointEveryNHours);

}

if (Version != global::Tensorflow.SaverDef.Types.CheckpointFormatVersion.Legacy) {

output.WriteRawTag(56);

output.WriteEnum((int) Version);

}

if (_unknownFields != null) {

_unknownFields.WriteTo(output);

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public int CalculateSize() {

int size = 0;

if (FilenameTensorName.Length != 0) {

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

}

if (SaveTensorName.Length != 0) {

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

}

if (RestoreOpName.Length != 0) {

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

}

if (MaxToKeep != 0) {

size += 1 + pb::CodedOutputStream.ComputeInt32Size(MaxToKeep);

}

if (Sharded != false) {

size += 1 + 1;

}

if (KeepCheckpointEveryNHours != 0F) {

size += 1 + 4;

}

if (Version != global::Tensorflow.SaverDef.Types.CheckpointFormatVersion.Legacy) {

size += 1 + pb::CodedOutputStream.ComputeEnumSize((int) Version);

}

if (_unknownFields != null) {

size += _unknownFields.CalculateSize();

}

return size;

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public void MergeFrom(SaverDef other) {

if (other == null) {

return;

}

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

FilenameTensorName = other.FilenameTensorName;

}

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

SaveTensorName = other.SaveTensorName;

}

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

RestoreOpName = other.RestoreOpName;

}

if (other.MaxToKeep != 0) {

MaxToKeep = other.MaxToKeep;

}

if (other.Sharded != false) {

Sharded = other.Sharded;

}

if (other.KeepCheckpointEveryNHours != 0F) {

KeepCheckpointEveryNHours = other.KeepCheckpointEveryNHours;

}

if (other.Version != global::Tensorflow.SaverDef.Types.CheckpointFormatVersion.Legacy) {

Version = other.Version;

}

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

}

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public void MergeFrom(pb::CodedInputStream input) {

uint tag;

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

switch(tag) {

default:

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

break;

case 10: {

FilenameTensorName = input.ReadString();

break;

}

case 18: {

SaveTensorName = input.ReadString();

break;

}

case 26: {

RestoreOpName = input.ReadString();

break;

}

case 32: {

MaxToKeep = input.ReadInt32();

break;

}

case 40: {

Sharded = input.ReadBool();

break;

}

case 53: {

KeepCheckpointEveryNHours = input.ReadFloat();

break;

}

case 56: {

Version = (global::Tensorflow.SaverDef.Types.CheckpointFormatVersion) input.ReadEnum();

break;

}

#region Nested types

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

[global::System.Diagnostics.DebuggerNonUserCodeAttribute]

public static partial class Types {

/// <summary>

/// A version number that identifies a different on-disk checkpoint format.

/// Usually, each subclass of BaseSaverBuilder works with a particular

/// version/format. However, it is possible that the same builder may be

/// upgraded to support a newer checkpoint format in the future.

/// </summary>

public enum CheckpointFormatVersion {

/// <summary>

/// Internal legacy format.

/// </summary>

[pbr::OriginalName("LEGACY")] Legacy = 0,

/// <summary>

/// Deprecated format: tf.Saver() which works with tensorflow::table::Table.

/// </summary>

[pbr::OriginalName("V1")] V1 = 1,

/// <summary>

/// Current format: more efficient.

/// </summary>

[pbr::OriginalName("V2")] V2 = 2,

}

#endregion

}

#endregion

}

#endregion Designer generated code

TensorFlow.NET/src/TensorFlowNET.Core/Protobuf/Saver.cs at master · nhirschey/TensorFlow.NET · GitHub

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