SavedVariable

SavedVariable kelas akhir publik

 Represents a Variable that is initialized by loading the contents from the
 checkpoint.
 

Tipe protobuf tensorflow.SavedVariable

Kelas Bersarang

kelas

Variabel Tersimpan.Pembangun

Represents a Variable that is initialized by loading the contents from the checkpoint.

Konstanta

ke dalam	AGGREGATION_FIELD_NUMBER
ke dalam	DEVICE_FIELD_NUMBER
ke dalam	DTYPE_FIELD_NUMBER
ke dalam	EXPERIMENTAL_DISTRIBUTED_VARIABLE_COMPONENTS_FIELD_NUMBER
ke dalam	NAME_FIELD_NUMBER
ke dalam	BENTUK_FIELD_NUMBER
ke dalam	SYNCHRONIZATION_FIELD_NUMBER
ke dalam	TRAINABLE_FIELD_NUMBER

Metode Publik

boolean	sama dengan (Objek objek)
Agregasi Variabel	dapatkanAgregasi () .tensorflow.VariableAggregation aggregation = 5;
ke dalam	dapatkan Nilai Agregasi () .tensorflow.VariableAggregation aggregation = 5;
Variabel Tersimpan statis	dapatkanDefaultInstance ()
Variabel Tersimpan	dapatkanDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statis terakhir	dapatkanDescriptor ()
Rangkaian	dapatkan Perangkat () string device = 7;
com.google.protobuf.ByteString	dapatkanDeviceBytes () string device = 7;
Tipe Data	dapatkan tipe D () .tensorflow.DataType dtype = 1;
ke dalam	dapatkanDtypeValue () .tensorflow.DataType dtype = 1;
Variabel Tersimpan	getExperimentalDistributedVariableComponents (indeks int) List of component variables for a distributed variable.
ke dalam	dapatkanExperimentalDistributedVariableComponentsCount () List of component variables for a distributed variable.
Daftar< Variabel Tersimpan >	getExperimentalDistributedVariableComponentsList () List of component variables for a distributed variable.
VariableOrBuilder Tersimpan	getExperimentalDistributedVariableComponentsOrBuilder (indeks int) List of component variables for a distributed variable.
Daftar<? memperluas SavedVariableOrBuilder >	dapatkanExperimentalDistributedVariableComponentsOrBuilderList () List of component variables for a distributed variable.
Rangkaian	dapatkan Nama () string name = 6;
com.google.protobuf.ByteString	dapatkanNamaBytes () string name = 6;
	dapatkanParserForType ()
ke dalam	dapatkanUkuranSerial ()
TensorBentukProto	dapatkanBentuk () .tensorflow.TensorShapeProto shape = 2;
TensorShapeProtoOrBuilder	dapatkanBentukOrBuilder () .tensorflow.TensorShapeProto shape = 2;
Sinkronisasi Variabel	dapatkan Sinkronisasi () .tensorflow.VariableSynchronization synchronization = 4;
ke dalam	dapatkanNilai Sinkronisasi () .tensorflow.VariableSynchronization synchronization = 4;
boolean	dapatkan Dapat Dilatih () bool trainable = 3;
final com.google.protobuf.UnknownFieldSet	dapatkan Bidang Tidak Dikenal ()
boolean	memilikiBentuk () .tensorflow.TensorShapeProto shape = 2;
ke dalam	Kode hash ()
boolean terakhir	diinisialisasi ()
SavedVariable.Builder statis	newBuilder (prototipe SavedVariable )
SavedVariable.Builder statis	Pembangun baru ()
Variabel Tersimpan.Pembangun	newBuilderForType ()
Variabel Tersimpan statis	parseDelimitedFrom (masukan Aliran Masukan)
Variabel Tersimpan statis	parseDelimitedFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Variabel Tersimpan statis	parseFrom (data ByteBuffer)
Variabel Tersimpan statis	parseFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Variabel Tersimpan statis	parseFrom (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Variabel Tersimpan statis	parseFrom (com.google.protobuf.CodedInputStream masukan)
Variabel Tersimpan statis	parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Variabel Tersimpan statis	parseFrom (com.google.protobuf.ByteString data)
Variabel Tersimpan statis	parseFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Variabel Tersimpan statis	parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statis	pengurai ()
Variabel Tersimpan.Pembangun	untukPembangun ()
ruang kosong	writeTo (com.google.protobuf.CodedOutputStream keluaran)

Metode Warisan

Dari kelas java.lang.Object

boolean	sama dengan (Objek arg0)
Kelas terakhir<?>	dapatkan Kelas ()
ke dalam	Kode hash ()
kekosongan terakhir	beri tahu ()
kekosongan terakhir	beri tahuSemua ()
Rangkaian	keString ()
kekosongan terakhir	tunggu (arg0 panjang, int arg1)
kekosongan terakhir	tunggu (argumen panjang0)
kekosongan terakhir	Tunggu ()

Dari antarmuka org.tensorflow.proto.framework.SavedVariableOrBuilder

VariabelAgregasi abstrak	dapatkanAgregasi () .tensorflow.VariableAggregation aggregation = 5;
abstrak ke dalam	dapatkan Nilai Agregasi () .tensorflow.VariableAggregation aggregation = 5;
Tali abstrak	dapatkan Perangkat () string device = 7;
abstrak com.google.protobuf.ByteString	dapatkanDeviceBytes () string device = 7;
Tipe Data abstrak	dapatkan tipe D () .tensorflow.DataType dtype = 1;
abstrak ke dalam	dapatkanDtypeValue () .tensorflow.DataType dtype = 1;
abstrak Variabel Tersimpan	getExperimentalDistributedVariableComponents (indeks int) List of component variables for a distributed variable.
abstrak ke dalam	dapatkanExperimentalDistributedVariableComponentsCount () List of component variables for a distributed variable.
Daftar abstrak< Variabel Tersimpan >	getExperimentalDistributedVariableComponentsList () List of component variables for a distributed variable.
abstrak SavedVariableOrBuilder	getExperimentalDistributedVariableComponentsOrBuilder (indeks int) List of component variables for a distributed variable.
Daftar abstrak<? memperluas SavedVariableOrBuilder >	dapatkanExperimentalDistributedVariableComponentsOrBuilderList () List of component variables for a distributed variable.
Tali abstrak	dapatkan Nama () string name = 6;
abstrak com.google.protobuf.ByteString	dapatkanNamaBytes () string name = 6;
TensorShapeProto abstrak	dapatkanBentuk () .tensorflow.TensorShapeProto shape = 2;
TensorShapeProtoOrBuilder abstrak	dapatkanBentukOrBuilder () .tensorflow.TensorShapeProto shape = 2;
Sinkronisasi Variabel abstrak	dapatkan Sinkronisasi () .tensorflow.VariableSynchronization synchronization = 4;
abstrak ke dalam	dapatkanNilai Sinkronisasi () .tensorflow.VariableSynchronization synchronization = 4;
boolean abstrak	dapatkan Dapat Dilatih () bool trainable = 3;
boolean abstrak	memilikiBentuk () .tensorflow.TensorShapeProto shape = 2;

Konstanta

int final statis publik AGGREGATION_FIELD_NUMBER

Nilai Konstan: 5

int akhir statis publik DEVICE_FIELD_NUMBER

Nilai Konstan: 7

int akhir statis publik DTYPE_FIELD_NUMBER

Nilai Konstan: 1

int akhir statis publik EXPERIMENTAL_DISTRIBUTED_VARIABLE_COMPONENTS_FIELD_NUMBER

Nilai Konstan: 8

int final statis publik NAME_FIELD_NUMBER

Nilai Konstan: 6

int akhir statis publik SHAPE_FIELD_NUMBER

Nilai Konstan: 2

int akhir statis publik SYNCHRONIZATION_FIELD_NUMBER

Nilai Konstan: 4

int akhir statis publik TRAINABLE_FIELD_NUMBER

Nilai Konstan: 3

Metode Publik

boolean publik sama (Obj objek)

GetAgregasi Variabel publik getAgregasi ()

.tensorflow.VariableAggregation aggregation = 5;

int publik getAggregationValue ()

.tensorflow.VariableAggregation aggregation = 5;

getDefaultInstance statis publik SavedVariable ()

SavedVariable publik getDefaultInstanceForType ()

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

GetDevice String publik ()

string device = 7;

com.google.protobuf.ByteString publik getDeviceBytes ()

string device = 7;

Tipe Data publik getDtype ()

.tensorflow.DataType dtype = 1;

int publik getDtypeValue ()

.tensorflow.DataType dtype = 1;

public SavedVariable getExperimentalDistributedVariableComponents (indeks int)

 List of component variables for a distributed variable.
 When this field is non-empty, the SavedVariable will be assumed
 to be a distributed variable defined by the components listed here.
 This is only supported by experimental loaders at the moment.
 

repeated .tensorflow.SavedVariable experimental_distributed_variable_components = 8;

public int getExperimentalDistributedVariableComponentsCount ()

 List of component variables for a distributed variable.
 When this field is non-empty, the SavedVariable will be assumed
 to be a distributed variable defined by the components listed here.
 This is only supported by experimental loaders at the moment.
 

repeated .tensorflow.SavedVariable experimental_distributed_variable_components = 8;

Daftar publik< SavedVariable > getExperimentalDistributedVariableComponentsList ()

 List of component variables for a distributed variable.
 When this field is non-empty, the SavedVariable will be assumed
 to be a distributed variable defined by the components listed here.
 This is only supported by experimental loaders at the moment.
 

repeated .tensorflow.SavedVariable experimental_distributed_variable_components = 8;

publik SavedVariableOrBuilder getExperimentalDistributedVariableComponentsOrBuilder (int indeks)

 List of component variables for a distributed variable.
 When this field is non-empty, the SavedVariable will be assumed
 to be a distributed variable defined by the components listed here.
 This is only supported by experimental loaders at the moment.
 

repeated .tensorflow.SavedVariable experimental_distributed_variable_components = 8;

Daftar Publik<? extends SavedVariableOrBuilder > getExperimentalDistributedVariableComponentsOrBuilderList ()

 List of component variables for a distributed variable.
 When this field is non-empty, the SavedVariable will be assumed
 to be a distributed variable defined by the components listed here.
 This is only supported by experimental loaders at the moment.
 

repeated .tensorflow.SavedVariable experimental_distributed_variable_components = 8;

GetName String publik ()

string name = 6;

publik com.google.protobuf.ByteString getNameBytes ()

string name = 6;

publik dapatkanParserForType ()

publik int getSerializedSize ()

TensorShapeProto getShape publik ()

.tensorflow.TensorShapeProto shape = 2;

TensorShapeProtoOrBuilder publik getShapeOrBuilder ()

.tensorflow.TensorShapeProto shape = 2;

Sinkronisasi Variabel publik getSinkronisasi ()

.tensorflow.VariableSynchronization synchronization = 4;

int publik getSynchronizationValue ()

.tensorflow.VariableSynchronization synchronization = 4;

getTrainable boolean publik ()

bool trainable = 3;

public final com.google.protobuf.UnknownFieldSet getUnknownFields ()

boolean publik hasShape ()

.tensorflow.TensorShapeProto shape = 2;

kode hash int publik ()

boolean akhir publik diinisialisasi ()

SavedVariable statis publik.Builder newBuilder (prototipe SavedVariable )

SavedVariable.Builder newBuilder () statis publik

SavedVariable publik.Builder newBuilderForType ()

parseDelimitedFrom (input InputStream) statis publik parseDelimitedVariable

Melempar

Pengecualian IO

public static SavedVariable parseDelimitedFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

Pengecualian IO

parseFrom SavedVariable statis publik (data ByteBuffer)

Melempar

InvalidProtocolBufferException

parseFrom SavedVariable statis publik (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

Pengecualian IO

parseFrom SavedVariable statis publik (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

InvalidProtocolBufferException

parseFrom SavedVariable statis publik (com.google.protobuf.CodedInputStream masukan)

Melempar

Pengecualian IO

parseFrom SavedVariable statis publik (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

InvalidProtocolBufferException

parseFrom SavedVariable statis publik (com.google.protobuf.ByteString data)

Melempar

InvalidProtocolBufferException

parseFrom SavedVariable statis publik (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

Pengecualian IO

parseFrom SavedVariable statis publik (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

InvalidProtocolBufferException

statis publik pengurai ()

SavedVariable.Builder toBuilder publik ()

public void writeTo (keluaran com.google.protobuf.CodedOutputStream)

Melempar

Pengecualian IO