public void MergeFrom(TableDescriptor other)
{
if (other == null)
{
return;
}
if (other.Name.Length != 0)
{
Name = other.Name;
}
if (other.VocabularySize != 0)
{
VocabularySize = other.VocabularySize;
}
if (other.Dimension != 0)
{
Dimension = other.Dimension;
}
if (other.NumFeatures != 0)
{
NumFeatures = other.NumFeatures;
}
if (other.optimizationParameters_ != null)
{
if (optimizationParameters_ == null)
{
OptimizationParameters = new global::Tensorflow.Tpu.OptimizationParameters();
}
OptimizationParameters.MergeFrom(other.OptimizationParameters);
}
_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: {
Name = input.ReadString();
break;
}
case 16: {
VocabularySize = input.ReadInt32();
break;
}
case 24: {
Dimension = input.ReadInt32();
break;
}
case 32: {
NumFeatures = input.ReadInt32();
break;
}
case 42: {
if (optimizationParameters_ == null)
{
OptimizationParameters = new global::Tensorflow.Tpu.OptimizationParameters();
}
input.ReadMessage(OptimizationParameters);
break;
}
}
}
}
