Exemplo n.º 1
0
 public void MergeFrom(TrainEvalPipelineConfig other)
 {
     if (other == null)
     {
         return;
     }
     if (other.model_ != null)
     {
         if (model_ == null)
         {
             model_ = new global::Tensorflow.Models.ObjectDetection.Protos.DetectionModel();
         }
         Model.MergeFrom(other.Model);
     }
     if (other.trainConfig_ != null)
     {
         if (trainConfig_ == null)
         {
             trainConfig_ = new global::Tensorflow.Models.ObjectDetection.Protos.TrainConfig();
         }
         TrainConfig.MergeFrom(other.TrainConfig);
     }
     if (other.trainInputReader_ != null)
     {
         if (trainInputReader_ == null)
         {
             trainInputReader_ = new global::Tensorflow.Models.ObjectDetection.Protos.InputReader();
         }
         TrainInputReader.MergeFrom(other.TrainInputReader);
     }
     if (other.evalConfig_ != null)
     {
         if (evalConfig_ == null)
         {
             evalConfig_ = new global::Tensorflow.Models.ObjectDetection.Protos.EvalConfig();
         }
         EvalConfig.MergeFrom(other.EvalConfig);
     }
     evalInputReader_.Add(other.evalInputReader_);
     if (other.graphRewriter_ != null)
     {
         if (graphRewriter_ == null)
         {
             graphRewriter_ = new global::Tensorflow.Models.ObjectDetection.Protos.GraphRewriter();
         }
         GraphRewriter.MergeFrom(other.GraphRewriter);
     }
     _unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
 }
Exemplo n.º 2
0
        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 (model_ == null)
                    {
                        model_ = new global::Tensorflow.Models.ObjectDetection.Protos.DetectionModel();
                    }
                    input.ReadMessage(model_);
                    break;
                }

                case 18: {
                    if (trainConfig_ == null)
                    {
                        trainConfig_ = new global::Tensorflow.Models.ObjectDetection.Protos.TrainConfig();
                    }
                    input.ReadMessage(trainConfig_);
                    break;
                }

                case 26: {
                    if (trainInputReader_ == null)
                    {
                        trainInputReader_ = new global::Tensorflow.Models.ObjectDetection.Protos.InputReader();
                    }
                    input.ReadMessage(trainInputReader_);
                    break;
                }

                case 34: {
                    if (evalConfig_ == null)
                    {
                        evalConfig_ = new global::Tensorflow.Models.ObjectDetection.Protos.EvalConfig();
                    }
                    input.ReadMessage(evalConfig_);
                    break;
                }

                case 42: {
                    evalInputReader_.AddEntriesFrom(input, _repeated_evalInputReader_codec);
                    break;
                }

                case 50: {
                    if (graphRewriter_ == null)
                    {
                        graphRewriter_ = new global::Tensorflow.Models.ObjectDetection.Protos.GraphRewriter();
                    }
                    input.ReadMessage(graphRewriter_);
                    break;
                }
                }
            }
        }