public void MergeFrom(TensorProto other)
{
if (other == null)
{
return;
}
if (other.Dtype != global::Tensorflow.DataType.DtInvalid)
{
Dtype = other.Dtype;
}
if (other.tensorShape_ != null)
{
if (tensorShape_ == null)
{
TensorShape = new global::Tensorflow.TensorShapeProto();
}
TensorShape.MergeFrom(other.TensorShape);
}
if (other.VersionNumber != 0)
{
VersionNumber = other.VersionNumber;
}
if (other.TensorContent.Length != 0)
{
TensorContent = other.TensorContent;
}
halfVal_.Add(other.halfVal_);
floatVal_.Add(other.floatVal_);
doubleVal_.Add(other.doubleVal_);
intVal_.Add(other.intVal_);
stringVal_.Add(other.stringVal_);
scomplexVal_.Add(other.scomplexVal_);
int64Val_.Add(other.int64Val_);
boolVal_.Add(other.boolVal_);
dcomplexVal_.Add(other.dcomplexVal_);
resourceHandleVal_.Add(other.resourceHandleVal_);
variantVal_.Add(other.variantVal_);
uint32Val_.Add(other.uint32Val_);
uint64Val_.Add(other.uint64Val_);
_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 8: {
Dtype = (global::Tensorflow.DataType)input.ReadEnum();
break;
}
case 18: {
if (shape_ == null)
{
Shape = new global::Tensorflow.TensorShapeProto();
}
input.ReadMessage(Shape);
break;
}
case 34: {
if (allocationDescription_ == null)
{
AllocationDescription = new global::Tensorflow.AllocationDescription();
}
input.ReadMessage(AllocationDescription);
break;
}
}
}
}
public void MergeFrom(TensorProto other)
{
if (other == null)
{
return;
}
if (other.Dtype != 0)
{
Dtype = other.Dtype;
}
if (other.tensorShape_ != null)
{
if (tensorShape_ == null)
{
tensorShape_ = new global::Tensorflow.TensorShapeProto();
}
TensorShape.MergeFrom(other.TensorShape);
}
if (other.VersionNumber != 0)
{
VersionNumber = other.VersionNumber;
}
if (other.TensorContent.Length != 0)
{
TensorContent = other.TensorContent;
}
halfVal_.Add(other.halfVal_);
floatVal_.Add(other.floatVal_);
doubleVal_.Add(other.doubleVal_);
intVal_.Add(other.intVal_);
stringVal_.Add(other.stringVal_);
scomplexVal_.Add(other.scomplexVal_);
int64Val_.Add(other.int64Val_);
boolVal_.Add(other.boolVal_);
dcomplexVal_.Add(other.dcomplexVal_);
resourceHandleVal_.Add(other.resourceHandleVal_);
}
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 (shape_ == null)
{
Shape = new global::Tensorflow.TensorShapeProto();
}
input.ReadMessage(Shape);
break;
}
case 16: {
Dtype = (global::Tensorflow.DataType)input.ReadEnum();
break;
}
case 34: {
if (type_ == null)
{
Type = new global::Tensorflow.FullTypeDef();
}
input.ReadMessage(Type);
break;
}
}
}
}
public void MergeFrom(BundleEntryProto other)
{
if (other == null)
{
return;
}
if (other.Dtype != 0)
{
Dtype = other.Dtype;
}
if (other.shape_ != null)
{
if (shape_ == null)
{
shape_ = new global::Tensorflow.TensorShapeProto();
}
Shape.MergeFrom(other.Shape);
}
if (other.ShardId != 0)
{
ShardId = other.ShardId;
}
if (other.Offset != 0L)
{
Offset = other.Offset;
}
if (other.Size != 0L)
{
Size = other.Size;
}
if (other.Crc32C != 0)
{
Crc32C = other.Crc32C;
}
slices_.Add(other.slices_);
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
input.SkipLastField();
break;
case 8: {
dtype_ = (global::Tensorflow.DataType)input.ReadEnum();
break;
}
case 18: {
if (shape_ == null)
{
shape_ = new global::Tensorflow.TensorShapeProto();
}
input.ReadMessage(shape_);
break;
}
case 34: {
if (allocationDescription_ == null)
{
allocationDescription_ = new global::Tensorflow.AllocationDescription();
}
input.ReadMessage(allocationDescription_);
break;
}
}
}
}
public void MergeFrom(CppShapeInferenceResult other)
{
if (other == null)
{
return;
}
if (other.shape_ != null)
{
if (shape_ == null)
{
Shape = new global::Tensorflow.TensorShapeProto();
}
Shape.MergeFrom(other.Shape);
}
if (other.handleData_ != null)
{
if (handleData_ == null)
{
HandleData = new global::Tensorflow.CppShapeInferenceResult.Types.HandleData();
}
HandleData.MergeFrom(other.HandleData);
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
public void MergeFrom(HandleShapeAndType other)
{
if (other == null)
{
return;
}
if (other.shape_ != null)
{
if (shape_ == null)
{
Shape = new global::Tensorflow.TensorShapeProto();
}
Shape.MergeFrom(other.Shape);
}
if (other.Dtype != global::Tensorflow.DataType.DtInvalid)
{
Dtype = other.Dtype;
}
if (other.SpecializedType != global::Tensorflow.SpecializedType.StInvalid)
{
SpecializedType = other.SpecializedType;
}
_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 8: {
dtype_ = (global::Tensorflow.DataType)input.ReadEnum();
break;
}
case 18: {
if (tensorShape_ == null)
{
tensorShape_ = new global::Tensorflow.TensorShapeProto();
}
input.ReadMessage(tensorShape_);
break;
}
case 24: {
VersionNumber = input.ReadInt32();
break;
}
case 34: {
TensorContent = input.ReadBytes();
break;
}
case 42:
case 45: {
floatVal_.AddEntriesFrom(input, _repeated_floatVal_codec);
break;
}
case 50:
case 49: {
doubleVal_.AddEntriesFrom(input, _repeated_doubleVal_codec);
break;
}
case 58:
case 56: {
intVal_.AddEntriesFrom(input, _repeated_intVal_codec);
break;
}
case 66: {
stringVal_.AddEntriesFrom(input, _repeated_stringVal_codec);
break;
}
case 74:
case 77: {
scomplexVal_.AddEntriesFrom(input, _repeated_scomplexVal_codec);
break;
}
case 82:
case 80: {
int64Val_.AddEntriesFrom(input, _repeated_int64Val_codec);
break;
}
case 90:
case 88: {
boolVal_.AddEntriesFrom(input, _repeated_boolVal_codec);
break;
}
case 98:
case 97: {
dcomplexVal_.AddEntriesFrom(input, _repeated_dcomplexVal_codec);
break;
}
case 106:
case 104: {
halfVal_.AddEntriesFrom(input, _repeated_halfVal_codec);
break;
}
case 114: {
resourceHandleVal_.AddEntriesFrom(input, _repeated_resourceHandleVal_codec);
break;
}
case 122: {
variantVal_.AddEntriesFrom(input, _repeated_variantVal_codec);
break;
}
case 130:
case 128: {
uint32Val_.AddEntriesFrom(input, _repeated_uint32Val_codec);
break;
}
case 138:
case 136: {
uint64Val_.AddEntriesFrom(input, _repeated_uint64Val_codec);
break;
}
}
}
}
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: {
global::Tensorflow.AttrValue.Types.ListValue subBuilder = new global::Tensorflow.AttrValue.Types.ListValue();
if (valueCase_ == ValueOneofCase.List)
{
subBuilder.MergeFrom(List);
}
input.ReadMessage(subBuilder);
List = subBuilder;
break;
}
case 18: {
S = input.ReadBytes();
break;
}
case 24: {
I = input.ReadInt64();
break;
}
case 37: {
F = input.ReadFloat();
break;
}
case 40: {
B = input.ReadBool();
break;
}
case 48: {
value_ = input.ReadEnum();
valueCase_ = ValueOneofCase.Type;
break;
}
case 58: {
global::Tensorflow.TensorShapeProto subBuilder = new global::Tensorflow.TensorShapeProto();
if (valueCase_ == ValueOneofCase.Shape)
{
subBuilder.MergeFrom(Shape);
}
input.ReadMessage(subBuilder);
Shape = subBuilder;
break;
}
case 66: {
global::Tensorflow.TensorProto subBuilder = new global::Tensorflow.TensorProto();
if (valueCase_ == ValueOneofCase.Tensor)
{
subBuilder.MergeFrom(Tensor);
}
input.ReadMessage(subBuilder);
Tensor = subBuilder;
break;
}
case 74: {
Placeholder = input.ReadString();
break;
}
case 82: {
global::Tensorflow.NameAttrList subBuilder = new global::Tensorflow.NameAttrList();
if (valueCase_ == ValueOneofCase.Func)
{
subBuilder.MergeFrom(Func);
}
input.ReadMessage(subBuilder);
Func = subBuilder;
break;
}
}
}
}
public void MergeFrom(AttrValue other)
{
if (other == null)
{
return;
}
switch (other.ValueCase)
{
case ValueOneofCase.S:
S = other.S;
break;
case ValueOneofCase.I:
I = other.I;
break;
case ValueOneofCase.F:
F = other.F;
break;
case ValueOneofCase.B:
B = other.B;
break;
case ValueOneofCase.Type:
Type = other.Type;
break;
case ValueOneofCase.Shape:
if (Shape == null)
{
Shape = new global::Tensorflow.TensorShapeProto();
}
Shape.MergeFrom(other.Shape);
break;
case ValueOneofCase.Tensor:
if (Tensor == null)
{
Tensor = new global::Tensorflow.TensorProto();
}
Tensor.MergeFrom(other.Tensor);
break;
case ValueOneofCase.List:
if (List == null)
{
List = new global::Tensorflow.AttrValue.Types.ListValue();
}
List.MergeFrom(other.List);
break;
case ValueOneofCase.Func:
if (Func == null)
{
Func = new global::Tensorflow.NameAttrList();
}
Func.MergeFrom(other.Func);
break;
case ValueOneofCase.Placeholder:
Placeholder = other.Placeholder;
break;
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}