// // Generated by the protocol buffer compiler. DO NOT EDIT! // source: object_detection/protos/post_processing.proto // #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.Models.ObjectDetection.Protos { /// Holder for reflection information generated from object_detection/protos/post_processing.proto public static partial class PostProcessingReflection { #region Descriptor /// File descriptor for object_detection/protos/post_processing.proto public static pbr::FileDescriptor Descriptor { get { return descriptor; } } private static pbr::FileDescriptor descriptor; static PostProcessingReflection() { byte[] descriptorData = global::System.Convert.FromBase64String( string.Concat( "Ci1vYmplY3RfZGV0ZWN0aW9uL3Byb3Rvcy9wb3N0X3Byb2Nlc3NpbmcucHJv", "dG8SF29iamVjdF9kZXRlY3Rpb24ucHJvdG9zGilvYmplY3RfZGV0ZWN0aW9u", "L3Byb3Rvcy9jYWxpYnJhdGlvbi5wcm90byL+AQoWQmF0Y2hOb25NYXhTdXBw", "cmVzc2lvbhIXCg9zY29yZV90aHJlc2hvbGQYASABKAISFQoNaW91X3RocmVz", "aG9sZBgCIAEoAhIgChhtYXhfZGV0ZWN0aW9uc19wZXJfY2xhc3MYAyABKAUS", "HAoUbWF4X3RvdGFsX2RldGVjdGlvbnMYBSABKAUSGQoRdXNlX3N0YXRpY19z", "aGFwZXMYBiABKAgSHgoWdXNlX2NsYXNzX2Fnbm9zdGljX25tcxgHIAEoCBIh", "ChltYXhfY2xhc3Nlc19wZXJfZGV0ZWN0aW9uGAggASgFEhYKDnNvZnRfbm1z", "X3NpZ21hGAkgASgCIswCCg5Qb3N0UHJvY2Vzc2luZxJSChliYXRjaF9ub25f", "bWF4X3N1cHByZXNzaW9uGAEgASgLMi8ub2JqZWN0X2RldGVjdGlvbi5wcm90", "b3MuQmF0Y2hOb25NYXhTdXBwcmVzc2lvbhJPCg9zY29yZV9jb252ZXJ0ZXIY", "AiABKA4yNi5vYmplY3RfZGV0ZWN0aW9uLnByb3Rvcy5Qb3N0UHJvY2Vzc2lu", "Zy5TY29yZUNvbnZlcnRlchITCgtsb2dpdF9zY2FsZRgDIAEoAhJGChJjYWxp", "YnJhdGlvbl9jb25maWcYBCABKAsyKi5vYmplY3RfZGV0ZWN0aW9uLnByb3Rv", "cy5DYWxpYnJhdGlvbkNvbmZpZyI4Cg5TY29yZUNvbnZlcnRlchIMCghJREVO", "VElUWRAAEgsKB1NJR01PSUQQARILCgdTT0ZUTUFYEAJiBnByb3RvMw==")); descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData, new pbr::FileDescriptor[] { global::Tensorflow.Models.ObjectDetection.Protos.CalibrationReflection.Descriptor, }, new pbr::GeneratedClrTypeInfo(null, new pbr::GeneratedClrTypeInfo[] { new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.Models.ObjectDetection.Protos.BatchNonMaxSuppression), global::Tensorflow.Models.ObjectDetection.Protos.BatchNonMaxSuppression.Parser, new[]{ "ScoreThreshold", "IouThreshold", "MaxDetectionsPerClass", "MaxTotalDetections", "UseStaticShapes", "UseClassAgnosticNms", "MaxClassesPerDetection", "SoftNmsSigma" }, null, null, null), new pbr::GeneratedClrTypeInfo(typeof(global::Tensorflow.Models.ObjectDetection.Protos.PostProcessing), global::Tensorflow.Models.ObjectDetection.Protos.PostProcessing.Parser, new[]{ "BatchNonMaxSuppression", "ScoreConverter", "LogitScale", "CalibrationConfig" }, null, new[]{ typeof(global::Tensorflow.Models.ObjectDetection.Protos.PostProcessing.Types.ScoreConverter) }, null) })); } #endregion } #region Messages /// /// Configuration proto for non-max-suppression operation on a batch of /// detections. /// public sealed partial class BatchNonMaxSuppression : pb::IMessage { private static readonly pb::MessageParser _parser = new pb::MessageParser(() => new BatchNonMaxSuppression()); 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::Tensorflow.Models.ObjectDetection.Protos.PostProcessingReflection.Descriptor.MessageTypes[0]; } } [global::System.Diagnostics.DebuggerNonUserCodeAttribute] pbr::MessageDescriptor pb::IMessage.Descriptor { get { return Descriptor; } } [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public BatchNonMaxSuppression() { OnConstruction(); } partial void OnConstruction(); [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public BatchNonMaxSuppression(BatchNonMaxSuppression other) : this() { scoreThreshold_ = other.scoreThreshold_; iouThreshold_ = other.iouThreshold_; maxDetectionsPerClass_ = other.maxDetectionsPerClass_; maxTotalDetections_ = other.maxTotalDetections_; useStaticShapes_ = other.useStaticShapes_; useClassAgnosticNms_ = other.useClassAgnosticNms_; maxClassesPerDetection_ = other.maxClassesPerDetection_; softNmsSigma_ = other.softNmsSigma_; _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields); } [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public BatchNonMaxSuppression Clone() { return new BatchNonMaxSuppression(this); } /// Field number for the "score_threshold" field. public const int ScoreThresholdFieldNumber = 1; private float scoreThreshold_; /// /// Scalar threshold for score (low scoring boxes are removed). /// [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public float ScoreThreshold { get { return scoreThreshold_; } set { scoreThreshold_ = value; } } /// Field number for the "iou_threshold" field. public const int IouThresholdFieldNumber = 2; private float iouThreshold_; /// /// Scalar threshold for IOU (boxes that have high IOU overlap /// with previously selected boxes are removed). /// [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public float IouThreshold { get { return iouThreshold_; } set { iouThreshold_ = value; } } /// Field number for the "max_detections_per_class" field. public const int MaxDetectionsPerClassFieldNumber = 3; private int maxDetectionsPerClass_; /// /// Maximum number of detections to retain per class. /// [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public int MaxDetectionsPerClass { get { return maxDetectionsPerClass_; } set { maxDetectionsPerClass_ = value; } } /// Field number for the "max_total_detections" field. public const int MaxTotalDetectionsFieldNumber = 5; private int maxTotalDetections_; /// /// Maximum number of detections to retain across all classes. /// [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public int MaxTotalDetections { get { return maxTotalDetections_; } set { maxTotalDetections_ = value; } } /// Field number for the "use_static_shapes" field. public const int UseStaticShapesFieldNumber = 6; private bool useStaticShapes_; /// /// Whether to use the implementation of NMS that guarantees static shapes. /// [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public bool UseStaticShapes { get { return useStaticShapes_; } set { useStaticShapes_ = value; } } /// Field number for the "use_class_agnostic_nms" field. public const int UseClassAgnosticNmsFieldNumber = 7; private bool useClassAgnosticNms_; /// /// Whether to use class agnostic NMS. /// Class-agnostic NMS function implements a class-agnostic version /// of Non Maximal Suppression where if max_classes_per_detection=k, /// 1) we keep the top-k scores for each detection and /// 2) during NMS, each detection only uses the highest class score for sorting. /// 3) Compared to regular NMS, the worst runtime of this version is O(N^2) /// instead of O(KN^2) where N is the number of detections and K the number of /// classes. /// [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public bool UseClassAgnosticNms { get { return useClassAgnosticNms_; } set { useClassAgnosticNms_ = value; } } /// Field number for the "max_classes_per_detection" field. public const int MaxClassesPerDetectionFieldNumber = 8; private int maxClassesPerDetection_; [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public int MaxClassesPerDetection { get { return maxClassesPerDetection_; } set { maxClassesPerDetection_ = value; } } /// Field number for the "soft_nms_sigma" field. public const int SoftNmsSigmaFieldNumber = 9; private float softNmsSigma_; /// /// Soft NMS sigma parameter; Bodla et al, https://arxiv.org/abs/1704.04503) /// [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public float SoftNmsSigma { get { return softNmsSigma_; } set { softNmsSigma_ = value; } } [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public override bool Equals(object other) { return Equals(other as BatchNonMaxSuppression); } [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public bool Equals(BatchNonMaxSuppression other) { if (ReferenceEquals(other, null)) { return false; } if (ReferenceEquals(other, this)) { return true; } if (!pbc::ProtobufEqualityComparers.BitwiseSingleEqualityComparer.Equals(ScoreThreshold, other.ScoreThreshold)) return false; if (!pbc::ProtobufEqualityComparers.BitwiseSingleEqualityComparer.Equals(IouThreshold, other.IouThreshold)) return false; if (MaxDetectionsPerClass != other.MaxDetectionsPerClass) return false; if (MaxTotalDetections != other.MaxTotalDetections) return false; if (UseStaticShapes != other.UseStaticShapes) return false; if (UseClassAgnosticNms != other.UseClassAgnosticNms) return false; if (MaxClassesPerDetection != other.MaxClassesPerDetection) return false; if (!pbc::ProtobufEqualityComparers.BitwiseSingleEqualityComparer.Equals(SoftNmsSigma, other.SoftNmsSigma)) return false; return Equals(_unknownFields, other._unknownFields); } [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public override int GetHashCode() { int hash = 1; if (ScoreThreshold != 0F) hash ^= pbc::ProtobufEqualityComparers.BitwiseSingleEqualityComparer.GetHashCode(ScoreThreshold); if (IouThreshold != 0F) hash ^= pbc::ProtobufEqualityComparers.BitwiseSingleEqualityComparer.GetHashCode(IouThreshold); if (MaxDetectionsPerClass != 0) hash ^= MaxDetectionsPerClass.GetHashCode(); if (MaxTotalDetections != 0) hash ^= MaxTotalDetections.GetHashCode(); if (UseStaticShapes != false) hash ^= UseStaticShapes.GetHashCode(); if (UseClassAgnosticNms != false) hash ^= UseClassAgnosticNms.GetHashCode(); if (MaxClassesPerDetection != 0) hash ^= MaxClassesPerDetection.GetHashCode(); if (SoftNmsSigma != 0F) hash ^= pbc::ProtobufEqualityComparers.BitwiseSingleEqualityComparer.GetHashCode(SoftNmsSigma); 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 (ScoreThreshold != 0F) { output.WriteRawTag(13); output.WriteFloat(ScoreThreshold); } if (IouThreshold != 0F) { output.WriteRawTag(21); output.WriteFloat(IouThreshold); } if (MaxDetectionsPerClass != 0) { output.WriteRawTag(24); output.WriteInt32(MaxDetectionsPerClass); } if (MaxTotalDetections != 0) { output.WriteRawTag(40); output.WriteInt32(MaxTotalDetections); } if (UseStaticShapes != false) { output.WriteRawTag(48); output.WriteBool(UseStaticShapes); } if (UseClassAgnosticNms != false) { output.WriteRawTag(56); output.WriteBool(UseClassAgnosticNms); } if (MaxClassesPerDetection != 0) { output.WriteRawTag(64); output.WriteInt32(MaxClassesPerDetection); } if (SoftNmsSigma != 0F) { output.WriteRawTag(77); output.WriteFloat(SoftNmsSigma); } if (_unknownFields != null) { _unknownFields.WriteTo(output); } } [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public int CalculateSize() { int size = 0; if (ScoreThreshold != 0F) { size += 1 + 4; } if (IouThreshold != 0F) { size += 1 + 4; } if (MaxDetectionsPerClass != 0) { size += 1 + pb::CodedOutputStream.ComputeInt32Size(MaxDetectionsPerClass); } if (MaxTotalDetections != 0) { size += 1 + pb::CodedOutputStream.ComputeInt32Size(MaxTotalDetections); } if (UseStaticShapes != false) { size += 1 + 1; } if (UseClassAgnosticNms != false) { size += 1 + 1; } if (MaxClassesPerDetection != 0) { size += 1 + pb::CodedOutputStream.ComputeInt32Size(MaxClassesPerDetection); } if (SoftNmsSigma != 0F) { size += 1 + 4; } if (_unknownFields != null) { size += _unknownFields.CalculateSize(); } return size; } [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public void MergeFrom(BatchNonMaxSuppression other) { if (other == null) { return; } if (other.ScoreThreshold != 0F) { ScoreThreshold = other.ScoreThreshold; } if (other.IouThreshold != 0F) { IouThreshold = other.IouThreshold; } if (other.MaxDetectionsPerClass != 0) { MaxDetectionsPerClass = other.MaxDetectionsPerClass; } if (other.MaxTotalDetections != 0) { MaxTotalDetections = other.MaxTotalDetections; } if (other.UseStaticShapes != false) { UseStaticShapes = other.UseStaticShapes; } if (other.UseClassAgnosticNms != false) { UseClassAgnosticNms = other.UseClassAgnosticNms; } if (other.MaxClassesPerDetection != 0) { MaxClassesPerDetection = other.MaxClassesPerDetection; } if (other.SoftNmsSigma != 0F) { SoftNmsSigma = other.SoftNmsSigma; } _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 13: { ScoreThreshold = input.ReadFloat(); break; } case 21: { IouThreshold = input.ReadFloat(); break; } case 24: { MaxDetectionsPerClass = input.ReadInt32(); break; } case 40: { MaxTotalDetections = input.ReadInt32(); break; } case 48: { UseStaticShapes = input.ReadBool(); break; } case 56: { UseClassAgnosticNms = input.ReadBool(); break; } case 64: { MaxClassesPerDetection = input.ReadInt32(); break; } case 77: { SoftNmsSigma = input.ReadFloat(); break; } } } } } /// /// Configuration proto for post-processing predicted boxes and /// scores. /// public sealed partial class PostProcessing : pb::IMessage { private static readonly pb::MessageParser _parser = new pb::MessageParser(() => new PostProcessing()); 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::Tensorflow.Models.ObjectDetection.Protos.PostProcessingReflection.Descriptor.MessageTypes[1]; } } [global::System.Diagnostics.DebuggerNonUserCodeAttribute] pbr::MessageDescriptor pb::IMessage.Descriptor { get { return Descriptor; } } [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public PostProcessing() { OnConstruction(); } partial void OnConstruction(); [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public PostProcessing(PostProcessing other) : this() { batchNonMaxSuppression_ = other.batchNonMaxSuppression_ != null ? other.batchNonMaxSuppression_.Clone() : null; scoreConverter_ = other.scoreConverter_; logitScale_ = other.logitScale_; calibrationConfig_ = other.calibrationConfig_ != null ? other.calibrationConfig_.Clone() : null; _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields); } [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public PostProcessing Clone() { return new PostProcessing(this); } /// Field number for the "batch_non_max_suppression" field. public const int BatchNonMaxSuppressionFieldNumber = 1; private global::Tensorflow.Models.ObjectDetection.Protos.BatchNonMaxSuppression batchNonMaxSuppression_; /// /// Non max suppression parameters. /// [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public global::Tensorflow.Models.ObjectDetection.Protos.BatchNonMaxSuppression BatchNonMaxSuppression { get { return batchNonMaxSuppression_; } set { batchNonMaxSuppression_ = value; } } /// Field number for the "score_converter" field. public const int ScoreConverterFieldNumber = 2; private global::Tensorflow.Models.ObjectDetection.Protos.PostProcessing.Types.ScoreConverter scoreConverter_ = 0; /// /// Score converter to use. /// [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public global::Tensorflow.Models.ObjectDetection.Protos.PostProcessing.Types.ScoreConverter ScoreConverter { get { return scoreConverter_; } set { scoreConverter_ = value; } } /// Field number for the "logit_scale" field. public const int LogitScaleFieldNumber = 3; private float logitScale_; /// /// Scale logit (input) value before conversion in post-processing step. /// Typically used for softmax distillation, though can be used to scale for /// other reasons. /// [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public float LogitScale { get { return logitScale_; } set { logitScale_ = value; } } /// Field number for the "calibration_config" field. public const int CalibrationConfigFieldNumber = 4; private global::Tensorflow.Models.ObjectDetection.Protos.CalibrationConfig calibrationConfig_; /// /// Calibrate score outputs. Calibration is applied after score converter /// and before non max suppression. /// [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public global::Tensorflow.Models.ObjectDetection.Protos.CalibrationConfig CalibrationConfig { get { return calibrationConfig_; } set { calibrationConfig_ = value; } } [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public override bool Equals(object other) { return Equals(other as PostProcessing); } [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public bool Equals(PostProcessing other) { if (ReferenceEquals(other, null)) { return false; } if (ReferenceEquals(other, this)) { return true; } if (!object.Equals(BatchNonMaxSuppression, other.BatchNonMaxSuppression)) return false; if (ScoreConverter != other.ScoreConverter) return false; if (!pbc::ProtobufEqualityComparers.BitwiseSingleEqualityComparer.Equals(LogitScale, other.LogitScale)) return false; if (!object.Equals(CalibrationConfig, other.CalibrationConfig)) return false; return Equals(_unknownFields, other._unknownFields); } [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public override int GetHashCode() { int hash = 1; if (batchNonMaxSuppression_ != null) hash ^= BatchNonMaxSuppression.GetHashCode(); if (ScoreConverter != 0) hash ^= ScoreConverter.GetHashCode(); if (LogitScale != 0F) hash ^= pbc::ProtobufEqualityComparers.BitwiseSingleEqualityComparer.GetHashCode(LogitScale); if (calibrationConfig_ != null) hash ^= CalibrationConfig.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 (batchNonMaxSuppression_ != null) { output.WriteRawTag(10); output.WriteMessage(BatchNonMaxSuppression); } if (ScoreConverter != 0) { output.WriteRawTag(16); output.WriteEnum((int) ScoreConverter); } if (LogitScale != 0F) { output.WriteRawTag(29); output.WriteFloat(LogitScale); } if (calibrationConfig_ != null) { output.WriteRawTag(34); output.WriteMessage(CalibrationConfig); } if (_unknownFields != null) { _unknownFields.WriteTo(output); } } [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public int CalculateSize() { int size = 0; if (batchNonMaxSuppression_ != null) { size += 1 + pb::CodedOutputStream.ComputeMessageSize(BatchNonMaxSuppression); } if (ScoreConverter != 0) { size += 1 + pb::CodedOutputStream.ComputeEnumSize((int) ScoreConverter); } if (LogitScale != 0F) { size += 1 + 4; } if (calibrationConfig_ != null) { size += 1 + pb::CodedOutputStream.ComputeMessageSize(CalibrationConfig); } if (_unknownFields != null) { size += _unknownFields.CalculateSize(); } return size; } [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public void MergeFrom(PostProcessing other) { if (other == null) { return; } if (other.batchNonMaxSuppression_ != null) { if (batchNonMaxSuppression_ == null) { batchNonMaxSuppression_ = new global::Tensorflow.Models.ObjectDetection.Protos.BatchNonMaxSuppression(); } BatchNonMaxSuppression.MergeFrom(other.BatchNonMaxSuppression); } if (other.ScoreConverter != 0) { ScoreConverter = other.ScoreConverter; } if (other.LogitScale != 0F) { LogitScale = other.LogitScale; } if (other.calibrationConfig_ != null) { if (calibrationConfig_ == null) { calibrationConfig_ = new global::Tensorflow.Models.ObjectDetection.Protos.CalibrationConfig(); } CalibrationConfig.MergeFrom(other.CalibrationConfig); } _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 (batchNonMaxSuppression_ == null) { batchNonMaxSuppression_ = new global::Tensorflow.Models.ObjectDetection.Protos.BatchNonMaxSuppression(); } input.ReadMessage(batchNonMaxSuppression_); break; } case 16: { scoreConverter_ = (global::Tensorflow.Models.ObjectDetection.Protos.PostProcessing.Types.ScoreConverter) input.ReadEnum(); break; } case 29: { LogitScale = input.ReadFloat(); break; } case 34: { if (calibrationConfig_ == null) { calibrationConfig_ = new global::Tensorflow.Models.ObjectDetection.Protos.CalibrationConfig(); } input.ReadMessage(calibrationConfig_); break; } } } } #region Nested types /// Container for nested types declared in the PostProcessing message type. [global::System.Diagnostics.DebuggerNonUserCodeAttribute] public static partial class Types { /// /// Enum to specify how to convert the detection scores. /// public enum ScoreConverter { /// /// Input scores equals output scores. /// [pbr::OriginalName("IDENTITY")] Identity = 0, /// /// Applies a sigmoid on input scores. /// [pbr::OriginalName("SIGMOID")] Sigmoid = 1, /// /// Applies a softmax on input scores /// [pbr::OriginalName("SOFTMAX")] Softmax = 2, } } #endregion } #endregion } #endregion Designer generated code