public void MergeFrom(RemoteFusedGraphExecuteInfo other)
{
if (other == null)
{
return;
}
if (other.remoteGraph_ != null)
{
if (remoteGraph_ == null)
{
RemoteGraph = new global::Tensorflow.GraphDef();
}
RemoteGraph.MergeFrom(other.RemoteGraph);
}
graphInputNodeName_.Add(other.graphInputNodeName_);
graphOutputNodeName_.Add(other.graphOutputNodeName_);
if (other.ExecutorName.Length != 0)
{
ExecutorName = other.ExecutorName;
}
if (other.SerializedExecutorParameters.Length != 0)
{
SerializedExecutorParameters = other.SerializedExecutorParameters;
}
defaultGraphInputTensorShape_.Add(other.defaultGraphInputTensorShape_);
defaultGraphOutputTensorShape_.Add(other.defaultGraphOutputTensorShape_);
_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 (remoteGraph_ == null)
{
RemoteGraph = new global::Tensorflow.GraphDef();
}
input.ReadMessage(RemoteGraph);
break;
}
case 18: {
graphInputNodeName_.AddEntriesFrom(input, _repeated_graphInputNodeName_codec);
break;
}
case 26: {
graphOutputNodeName_.AddEntriesFrom(input, _repeated_graphOutputNodeName_codec);
break;
}
case 34: {
ExecutorName = input.ReadString();
break;
}
case 42: {
SerializedExecutorParameters = input.ReadBytes();
break;
}
case 50: {
defaultGraphInputTensorShape_.AddEntriesFrom(input, _repeated_defaultGraphInputTensorShape_codec);
break;
}
case 58: {
defaultGraphOutputTensorShape_.AddEntriesFrom(input, _repeated_defaultGraphOutputTensorShape_codec);
break;
}
}
}
}
