public override int GetHashCode() { int hash = 1; if (model_ != null) { hash ^= Model.GetHashCode(); } if (trainConfig_ != null) { hash ^= TrainConfig.GetHashCode(); } if (trainInputReader_ != null) { hash ^= TrainInputReader.GetHashCode(); } if (evalConfig_ != null) { hash ^= EvalConfig.GetHashCode(); } hash ^= evalInputReader_.GetHashCode(); if (graphRewriter_ != null) { hash ^= GraphRewriter.GetHashCode(); } if (_unknownFields != null) { hash ^= _unknownFields.GetHashCode(); } return(hash); }
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); }