public void MergeFrom(InferenceResult other)
{
if (other == null)
{
return;
}
if (other.modelSpec_ != null)
{
if (modelSpec_ == null)
{
modelSpec_ = new global::Tensorflow.Serving.ModelSpec();
}
ModelSpec.MergeFrom(other.ModelSpec);
}
switch (other.ResultCase)
{
case ResultOneofCase.ClassificationResult:
ClassificationResult = other.ClassificationResult;
break;
case ResultOneofCase.RegressionResult:
RegressionResult = other.RegressionResult;
break;
}
}
public void MergeFrom(LogMetadata other)
{
if (other == null)
{
return;
}
if (other.modelSpec_ != null)
{
if (modelSpec_ == null)
{
ModelSpec = new global::Tensorflow.Serving.ModelSpec();
}
ModelSpec.MergeFrom(other.ModelSpec);
}
if (other.samplingConfig_ != null)
{
if (samplingConfig_ == null)
{
SamplingConfig = new global::Tensorflow.Serving.SamplingConfig();
}
SamplingConfig.MergeFrom(other.SamplingConfig);
}
savedModelTags_.Add(other.savedModelTags_);
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
public void MergeFrom(InferenceResult other)
{
if (other == null)
{
return;
}
if (other.modelSpec_ != null)
{
if (modelSpec_ == null)
{
ModelSpec = new global::Tensorflow.Serving.ModelSpec();
}
ModelSpec.MergeFrom(other.ModelSpec);
}
switch (other.ResultCase)
{
case ResultOneofCase.ClassificationResult:
if (ClassificationResult == null)
{
ClassificationResult = new global::Tensorflow.Serving.ClassificationResult();
}
ClassificationResult.MergeFrom(other.ClassificationResult);
break;
case ResultOneofCase.RegressionResult:
if (RegressionResult == null)
{
RegressionResult = new global::Tensorflow.Serving.RegressionResult();
}
RegressionResult.MergeFrom(other.RegressionResult);
break;
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
public void MergeFrom(PredictResponse other)
{
if (other == null)
{
return;
}
if (other.modelSpec_ != null)
{
if (modelSpec_ == null)
{
modelSpec_ = new global::Tensorflow.Serving.ModelSpec();
}
ModelSpec.MergeFrom(other.ModelSpec);
}
outputs_.Add(other.outputs_);
}
public void MergeFrom(GetModelMetadataResponse other)
{
if (other == null)
{
return;
}
if (other.modelSpec_ != null)
{
if (modelSpec_ == null)
{
modelSpec_ = new global::Tensorflow.Serving.ModelSpec();
}
ModelSpec.MergeFrom(other.ModelSpec);
}
metadata_.Add(other.metadata_);
}
public void MergeFrom(GetModelMetadataRequest other)
{
if (other == null)
{
return;
}
if (other.modelSpec_ != null)
{
if (modelSpec_ == null)
{
modelSpec_ = new global::Tensorflow.Serving.ModelSpec();
}
ModelSpec.MergeFrom(other.ModelSpec);
}
metadataField_.Add(other.metadataField_);
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
public void MergeFrom(PredictResponse other)
{
if (other == null)
{
return;
}
if (other.modelSpec_ != null)
{
if (modelSpec_ == null)
{
ModelSpec = new global::Tensorflow.Serving.ModelSpec();
}
ModelSpec.MergeFrom(other.ModelSpec);
}
outputs_.Add(other.outputs_);
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
public void MergeFrom(InferenceTask other)
{
if (other == null)
{
return;
}
if (other.modelSpec_ != null)
{
if (modelSpec_ == null)
{
modelSpec_ = new global::Tensorflow.Serving.ModelSpec();
}
ModelSpec.MergeFrom(other.ModelSpec);
}
if (other.MethodName.Length != 0)
{
MethodName = other.MethodName;
}
}
public void MergeFrom(SessionRunResponse other) {
if (other == null) {
return;
}
if (other.modelSpec_ != null) {
if (modelSpec_ == null) {
ModelSpec = new global::Tensorflow.Serving.ModelSpec();
}
ModelSpec.MergeFrom(other.ModelSpec);
}
tensor_.Add(other.tensor_);
if (other.metadata_ != null) {
if (metadata_ == null) {
Metadata = new global::Tensorflow.RunMetadata();
}
Metadata.MergeFrom(other.Metadata);
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
public void MergeFrom(InferenceTask other)
{
if (other == null)
{
return;
}
if (other.modelSpec_ != null)
{
if (modelSpec_ == null)
{
ModelSpec = new global::Tensorflow.Serving.ModelSpec();
}
ModelSpec.MergeFrom(other.ModelSpec);
}
if (other.MethodName.Length != 0)
{
MethodName = other.MethodName;
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
public void MergeFrom(SessionRunRequest other) {
if (other == null) {
return;
}
if (other.modelSpec_ != null) {
if (modelSpec_ == null) {
ModelSpec = new global::Tensorflow.Serving.ModelSpec();
}
ModelSpec.MergeFrom(other.ModelSpec);
}
feed_.Add(other.feed_);
fetch_.Add(other.fetch_);
target_.Add(other.target_);
if (other.options_ != null) {
if (options_ == null) {
Options = new global::Tensorflow.RunOptions();
}
Options.MergeFrom(other.Options);
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
public void MergeFrom(ClassificationRequest other)
{
if (other == null)
{
return;
}
if (other.modelSpec_ != null)
{
if (modelSpec_ == null)
{
modelSpec_ = new global::Tensorflow.Serving.ModelSpec();
}
ModelSpec.MergeFrom(other.ModelSpec);
}
if (other.input_ != null)
{
if (input_ == null)
{
input_ = new global::Tensorflow.Serving.Input();
}
Input.MergeFrom(other.Input);
}
}
public void MergeFrom(ClassificationResponse other)
{
if (other == null)
{
return;
}
if (other.modelSpec_ != null)
{
if (modelSpec_ == null)
{
modelSpec_ = new global::Tensorflow.Serving.ModelSpec();
}
ModelSpec.MergeFrom(other.ModelSpec);
}
if (other.result_ != null)
{
if (result_ == null)
{
result_ = new global::Tensorflow.Serving.ClassificationResult();
}
Result.MergeFrom(other.Result);
}
}
public void MergeFrom(RegressionResponse other)
{
if (other == null)
{
return;
}
if (other.modelSpec_ != null)
{
if (modelSpec_ == null)
{
ModelSpec = new global::Tensorflow.Serving.ModelSpec();
}
ModelSpec.MergeFrom(other.ModelSpec);
}
if (other.result_ != null)
{
if (result_ == null)
{
Result = new global::Tensorflow.Serving.RegressionResult();
}
Result.MergeFrom(other.Result);
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
public void MergeFrom(RegressionRequest other)
{
if (other == null)
{
return;
}
if (other.modelSpec_ != null)
{
if (modelSpec_ == null)
{
ModelSpec = new global::Tensorflow.Serving.ModelSpec();
}
ModelSpec.MergeFrom(other.ModelSpec);
}
if (other.input_ != null)
{
if (input_ == null)
{
Input = new global::Tensorflow.Serving.Input();
}
Input.MergeFrom(other.Input);
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
