public void MergeFrom(pb::CodedInputStream input) {
uint tag;
while ((tag = input.ReadTag()) != 0) {
switch(tag) {
default:
input.SkipLastField();
break;
case 8: {
Size = input.ReadInt64();
break;
}
case 16: {
AliasInputPort = input.ReadInt64();
break;
}
case 26: {
if (shape_ == null) {
shape_ = new global::Vision.Tensorflow.Proto.TensorShapeProto();
}
input.ReadMessage(shape_);
break;
}
case 32: {
dtype_ = (global::Vision.Tensorflow.Proto.DataType) input.ReadEnum();
break;
}
}
}
}
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
input.SkipLastField();
break;
case 8: {
dtype_ = (global::Vision.Tensorflow.Proto.DataType)input.ReadEnum();
break;
}
case 18: {
if (shape_ == null)
{
shape_ = new global::Vision.Tensorflow.Proto.TensorShapeProto();
}
input.ReadMessage(shape_);
break;
}
case 24: {
ShardId = input.ReadInt32();
break;
}
case 32: {
Offset = input.ReadInt64();
break;
}
case 40: {
Size = input.ReadInt64();
break;
}
case 53: {
Crc32C = input.ReadFixed32();
break;
}
case 58: {
slices_.AddEntriesFrom(input, _repeated_slices_codec);
break;
}
}
}
}
public void MergeFrom(OutputInfo other) {
if (other == null) {
return;
}
if (other.Size != 0L) {
Size = other.Size;
}
if (other.AliasInputPort != 0L) {
AliasInputPort = other.AliasInputPort;
}
if (other.shape_ != null) {
if (shape_ == null) {
shape_ = new global::Vision.Tensorflow.Proto.TensorShapeProto();
}
Shape.MergeFrom(other.Shape);
}
if (other.Dtype != 0) {
Dtype = other.Dtype;
}
}
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
input.SkipLastField();
break;
case 8: {
dtype_ = (global::Vision.Tensorflow.Proto.DataType)input.ReadEnum();
break;
}
case 18: {
if (shape_ == null)
{
shape_ = new global::Vision.Tensorflow.Proto.TensorShapeProto();
}
input.ReadMessage(shape_);
break;
}
case 34: {
if (allocationDescription_ == null)
{
allocationDescription_ = new global::Vision.Tensorflow.Proto.AllocationDescription();
}
input.ReadMessage(allocationDescription_);
break;
}
}
}
}
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
input.SkipLastField();
break;
case 8: {
dtype_ = (global::Vision.Tensorflow.Proto.DataType)input.ReadEnum();
break;
}
case 18: {
if (tensorShape_ == null)
{
tensorShape_ = new global::Vision.Tensorflow.Proto.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;
}
}
}
}
