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: {
tableDescriptor_.AddEntriesFrom(input, _repeated_tableDescriptor_codec);
break;
}
case 16: {
Mode = (global::Tensorflow.Tpu.TPUEmbeddingConfiguration.Types.Mode)input.ReadEnum();
break;
}
case 24: {
BatchSizePerTensorCore = input.ReadInt32();
break;
}
case 32: {
NumHosts = input.ReadInt32();
break;
}
case 40: {
NumTensorCores = input.ReadInt32();
break;
}
case 48: {
ShardingStrategy = (global::Tensorflow.Tpu.TPUEmbeddingConfiguration.Types.ShardingStrategy)input.ReadEnum();
break;
}
case 56: {
PipelineExecutionWithTensorCore = input.ReadBool();
break;
}
case 66: {
if (outputLayout_ == null)
{
OutputLayout = new global::Tensorflow.Tpu.TPUEmbeddingOutputLayout();
}
input.ReadMessage(OutputLayout);
break;
}
}
}
}
public void MergeFrom(TPUEmbeddingConfiguration other)
{
if (other == null)
{
return;
}
tableDescriptor_.Add(other.tableDescriptor_);
if (other.Mode != 0)
{
Mode = other.Mode;
}
if (other.BatchSizePerTensorCore != 0)
{
BatchSizePerTensorCore = other.BatchSizePerTensorCore;
}
if (other.NumHosts != 0)
{
NumHosts = other.NumHosts;
}
if (other.NumTensorCores != 0)
{
NumTensorCores = other.NumTensorCores;
}
if (other.ShardingStrategy != 0)
{
ShardingStrategy = other.ShardingStrategy;
}
if (other.PipelineExecutionWithTensorCore != false)
{
PipelineExecutionWithTensorCore = other.PipelineExecutionWithTensorCore;
}
if (other.outputLayout_ != null)
{
if (outputLayout_ == null)
{
OutputLayout = new global::Tensorflow.Tpu.TPUEmbeddingOutputLayout();
}
OutputLayout.MergeFrom(other.OutputLayout);
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
