CostGraphDef.Node.OutputInfo.Builder

kelas akhir statis publik CostGraphDef.Node.OutputInfo.Builder

 Outputs of this node.
Tipe protobuf tensorflow.CostGraphDef.Node.OutputInfo

Metode Publik

CostGraphDef.Node.OutputInfo.Builder
addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
CostGraphDef.Node.OutputInfo
membangun ()
CostGraphDef.Node.OutputInfo
membangunPartial ()
CostGraphDef.Node.OutputInfo.Builder
jernih ()
CostGraphDef.Node.OutputInfo.Builder
hapusAliasInputPort () 
 If >= 0, the output is an alias of an input.
CostGraphDef.Node.OutputInfo.Builder
hapusDtype ()
.tensorflow.DataType dtype = 4;
CostGraphDef.Node.OutputInfo.Builder
clearField (bidang com.google.protobuf.Descriptors.FieldDescriptor)
CostGraphDef.Node.OutputInfo.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
CostGraphDef.Node.OutputInfo.Builder
bentuk jelas ()
.tensorflow.TensorShapeProto shape = 3;
CostGraphDef.Node.OutputInfo.Builder
ukuran jelas ()
int64 size = 1;
CostGraphDef.Node.OutputInfo.Builder
klon ()
panjang
dapatkanAliasInputPort () 
 If >= 0, the output is an alias of an input.
CostGraphDef.Node.OutputInfo
dapatkanDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statis terakhir
dapatkanDescriptor ()
com.google.protobuf.Descriptors.Descriptor
dapatkanDescriptorForType ()
Tipe Data
dapatkan tipe D ()
.tensorflow.DataType dtype = 4;
ke dalam
dapatkanDtypeValue ()
.tensorflow.DataType dtype = 4;
TensorBentukProto
dapatkanBentuk ()
.tensorflow.TensorShapeProto shape = 3;
TensorShapeProto.Builder
dapatkanShapeBuilder ()
.tensorflow.TensorShapeProto shape = 3;
TensorShapeProtoOrBuilder
dapatkanBentukOrBuilder ()
.tensorflow.TensorShapeProto shape = 3;
panjang
dapatkanUkuran ()
int64 size = 1;
boolean
memilikiBentuk ()
.tensorflow.TensorShapeProto shape = 3;
boolean terakhir
diinisialisasi ()
CostGraphDef.Node.OutputInfo.Builder
mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CostGraphDef.Node.OutputInfo.Builder
mergeFrom (com.google.protobuf.Pesan lainnya)
CostGraphDef.Node.OutputInfo.Builder
mergeShape (nilai TensorShapeProto )
.tensorflow.TensorShapeProto shape = 3;
CostGraphDef.Node.OutputInfo.Builder akhir
mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
CostGraphDef.Node.OutputInfo.Builder
setAliasInputPort (nilai panjang) 
 If >= 0, the output is an alias of an input.
CostGraphDef.Node.OutputInfo.Builder
setDtype (nilai Tipe Data )
.tensorflow.DataType dtype = 4;
CostGraphDef.Node.OutputInfo.Builder
setDtypeValue (nilai int)
.tensorflow.DataType dtype = 4;
CostGraphDef.Node.OutputInfo.Builder
setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
CostGraphDef.Node.OutputInfo.Builder
setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)
CostGraphDef.Node.OutputInfo.Builder
setShape (nilai TensorShapeProto )
.tensorflow.TensorShapeProto shape = 3;
CostGraphDef.Node.OutputInfo.Builder
setShape ( TensorShapeProto.Pembuat pembangunForValue)
.tensorflow.TensorShapeProto shape = 3;
CostGraphDef.Node.OutputInfo.Builder
setSize (nilai panjang)
int64 size = 1;
CostGraphDef.Node.OutputInfo.Builder akhir
setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

Metode Warisan

Metode Publik

public CostGraphDef.Node.OutputInfo.Builder addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)

build CostGraphDef.Node.OutputInfo publik ()

publik CostGraphDef.Node.OutputInfo buildPartial ()

publik CostGraphDef.Node.OutputInfo.Builder jelas ()

CostGraphDef.Node.OutputInfo.Builder publik clearAliasInputPort () 

 If >= 0, the output is an alias of an input. Note that an alias input
 may itself be an alias. The algorithm will therefore need to follow
 those pointers.
int64 alias_input_port = 2;

publik CostGraphDef.Node.OutputInfo.Builder clearDtype ()

.tensorflow.DataType dtype = 4;

CostGraphDef.Node.OutputInfo.Builder clearField publik (bidang com.google.protobuf.Descriptors.FieldDescriptor)

CostGraphDef.Node.OutputInfo.Builder publik clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

publik CostGraphDef.Node.OutputInfo.Builder clearShape ()

.tensorflow.TensorShapeProto shape = 3;

CostGraphDef.Node.OutputInfo.Builder publik clearSize ()

int64 size = 1;

klon CostGraphDef.Node.OutputInfo.Builder publik ()

getAliasInputPort panjang publik () 

 If >= 0, the output is an alias of an input. Note that an alias input
 may itself be an alias. The algorithm will therefore need to follow
 those pointers.
int64 alias_input_port = 2;

publik CostGraphDef.Node.OutputInfo getDefaultInstanceForType ()

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

com.google.protobuf.Descriptors.Descriptor publik getDescriptorForType ()

Tipe Data publik getDtype ()

.tensorflow.DataType dtype = 4;

int publik getDtypeValue ()

.tensorflow.DataType dtype = 4;

TensorShapeProto getShape publik ()

.tensorflow.TensorShapeProto shape = 3;

TensorShapeProto.Builder publik getShapeBuilder ()

.tensorflow.TensorShapeProto shape = 3;

TensorShapeProtoOrBuilder publik getShapeOrBuilder ()

.tensorflow.TensorShapeProto shape = 3;

getSize panjang publik ()

int64 size = 1;

boolean publik hasShape ()

.tensorflow.TensorShapeProto shape = 3;

boolean akhir publik diinisialisasi ()

CostGraphDef.Node.OutputInfo.Builder mergeFrom publik (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
Pengecualian IO

public CostGraphDef.Node.OutputInfo.Builder mergeFrom (com.google.protobuf.Message lainnya)

CostGraphDef.Node.OutputInfo.Builder mergeShape publik (nilai TensorShapeProto )

.tensorflow.TensorShapeProto shape = 3;

CostGraphDef.Node.OutputInfo.Builder final publik menggabungkan UnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

public CostGraphDef.Node.OutputInfo.Builder setAliasInputPort (nilai panjang) 

 If >= 0, the output is an alias of an input. Note that an alias input
 may itself be an alias. The algorithm will therefore need to follow
 those pointers.
int64 alias_input_port = 2;

publik CostGraphDef.Node.OutputInfo.Builder setDtype (nilai Tipe Data )

.tensorflow.DataType dtype = 4;

publik CostGraphDef.Node.OutputInfo.Builder setDtypeValue (nilai int)

.tensorflow.DataType dtype = 4;

public CostGraphDef.Node.OutputInfo.Builder setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)

public CostGraphDef.Node.OutputInfo.Builder setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)

publik CostGraphDef.Node.OutputInfo.Builder setShape (nilai TensorShapeProto )

.tensorflow.TensorShapeProto shape = 3;

CostGraphDef.Node.OutputInfo.Builder setShape publik ( TensorShapeProto.Builder builderForValue)

.tensorflow.TensorShapeProto shape = 3;

public CostGraphDef.Node.OutputInfo.Builder setSize (nilai panjang)

int64 size = 1;

CostGraphDef.Node.OutputInfo.Builder final publik setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)