public void MergeFrom(RegisterModelRequest other)
{
if (other == null)
{
return;
}
if (other.dataset_ != null)
{
if (dataset_ == null)
{
Dataset = new global::Asgt.Type.Dataset();
}
Dataset.MergeFrom(other.Dataset);
}
if (other.revision_ != null)
{
if (revision_ == null)
{
Revision = new global::Asgt.Type.Revision();
}
Revision.MergeFrom(other.Revision);
}
if (other.ModelVersion != 0L)
{
ModelVersion = other.ModelVersion;
}
metrics_.Add(other.metrics_);
targetMetrics_.Add(other.targetMetrics_);
if (other.InputType != global::Asgt.Type.Model.Types.InputType.FeatureTensors)
{
InputType = other.InputType;
}
if (other.trainStatistics_ != null)
{
if (trainStatistics_ == null)
{
TrainStatistics = new global::Asgt.Type.TrainStatistics();
}
TrainStatistics.MergeFrom(other.TrainStatistics);
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
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 (dataset_ == null)
{
Dataset = new global::Asgt.Type.Dataset();
}
input.ReadMessage(Dataset);
break;
}
case 18: {
if (revision_ == null)
{
Revision = new global::Asgt.Type.Revision();
}
input.ReadMessage(Revision);
break;
}
case 24: {
ModelVersion = input.ReadInt64();
break;
}
case 34: {
metrics_.AddEntriesFrom(input, _map_metrics_codec);
break;
}
case 42: {
targetMetrics_.AddEntriesFrom(input, _repeated_targetMetrics_codec);
break;
}
case 48: {
InputType = (global::Asgt.Type.Model.Types.InputType)input.ReadEnum();
break;
}
case 58: {
if (trainStatistics_ == null)
{
TrainStatistics = new global::Asgt.Type.TrainStatistics();
}
input.ReadMessage(TrainStatistics);
break;
}
}
}
}
