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);
}
