KernelDef.Builder

clase final estática pública KernelDef.Builder

Protobuf tipo tensorflow.KernelDef

Métodos públicos

KernelDef.Builder	addAllConstraint (Iterable<? extiende los valores de KernelDef.AttrConstraint >) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.Builder	addAllHostMemoryArg (valores Iterable<String>) Names of the Op's input_/output_args that reside in host memory instead of device memory.
KernelDef.Builder	addConstraint (valor KernelDef.AttrConstraint ) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.Builder	addConstraint (índice int, valor KernelDef.AttrConstraint ) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.Builder	addConstraint (índice int, KernelDef.AttrConstraint.Builder builderForValue) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.Builder	addConstraint ( KernelDef.AttrConstraint.Builder builderForValue) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.AttrConstraint.Builder	agregarConstraintBuilder () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.AttrConstraint.Builder	addConstraintBuilder (índice int) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.Builder	addHostMemoryArg (valor de cadena) Names of the Op's input_/output_args that reside in host memory instead of device memory.
KernelDef.Builder	addHostMemoryArgBytes (valor com.google.protobuf.ByteString) Names of the Op's input_/output_args that reside in host memory instead of device memory.
KernelDef.Builder	addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)
KernelDef	construir ()
KernelDef	construirPartial ()
KernelDef.Builder	claro ()
KernelDef.Builder	claraRestricción () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.Builder	borrar tipo de dispositivo () Type of device this kernel runs on.
KernelDef.Builder	clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)
KernelDef.Builder	borrarHostMemoryArg () Names of the Op's input_/output_args that reside in host memory instead of device memory.
KernelDef.Builder	etiqueta clara () This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
KernelDef.Builder	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor uno de)
KernelDef.Builder	borrarOp () Must match the name of an Op.
KernelDef.Builder	borrarPrioridad () Prioritization of kernel amongst different devices.
KernelDef.Builder	clonar ()
KernelDef.AttrConstraint	getConstraint (índice int) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.AttrConstraint.Builder	getConstraintBuilder (índice int) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
Lista< KernelDef.AttrConstraint.Builder >	getConstraintBuilderList () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
entero	getConstraintCount () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
Lista< KernelDef.AttrConstraint >	getListaDeRestricciones () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.AttrConstraintOrBuilder	getConstraintOrBuilder (índice int) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
Lista<? extiende KernelDef.AttrConstraintOrBuilder >	getConstraintOrBuilderList () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef	getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor estático final	obtenerDescriptor ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
Cadena	getTipo de dispositivo () Type of device this kernel runs on.
com.google.protobuf.ByteString	getDeviceTypeBytes () Type of device this kernel runs on.
Cadena	getHostMemoryArg (índice int) Names of the Op's input_/output_args that reside in host memory instead of device memory.
com.google.protobuf.ByteString	getHostMemoryArgBytes (índice int) Names of the Op's input_/output_args that reside in host memory instead of device memory.
entero	getHostMemoryArgCount () Names of the Op's input_/output_args that reside in host memory instead of device memory.
com.google.protobuf.ProtocolStringList	getHostMemoryArgList () Names of the Op's input_/output_args that reside in host memory instead of device memory.
Cadena	obtenerEtiqueta () This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
com.google.protobuf.ByteString	obtenerLabelBytes () This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
Cadena	obtenerOp () Must match the name of an Op.
com.google.protobuf.ByteString	obtenerOpBytes () Must match the name of an Op.
entero	obtenerPrioridad () Prioritization of kernel amongst different devices.
booleano final	está inicializado ()
KernelDef.Builder	mergeFrom (com.google.protobuf.Message otro)
KernelDef.Builder	mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
KernelDef.Builder final	mergeUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)
KernelDef.Builder	removeConstraint (índice int) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.Builder	setConstraint (índice int, KernelDef.AttrConstraint.Builder builderForValue) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.Builder	setConstraint (índice int, valor KernelDef.AttrConstraint ) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.Builder	setDeviceType (valor de cadena) Type of device this kernel runs on.
KernelDef.Builder	setDeviceTypeBytes (valor com.google.protobuf.ByteString) Type of device this kernel runs on.
KernelDef.Builder	setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)
KernelDef.Builder	setHostMemoryArg (índice int, valor de cadena) Names of the Op's input_/output_args that reside in host memory instead of device memory.
KernelDef.Builder	setLabel (valor de cadena) This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
KernelDef.Builder	setLabelBytes (valor com.google.protobuf.ByteString) This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
KernelDef.Builder	setOp (valor de cadena) Must match the name of an Op.
KernelDef.Builder	setOpBytes (valor com.google.protobuf.ByteString) Must match the name of an Op.
KernelDef.Builder	establecerPrioridad (valor int) Prioritization of kernel amongst different devices.
KernelDef.Builder	setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor del objeto)
KernelDef.Builder final	setUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)

Métodos heredados

De la clase java.lang.Object

booleano	es igual (Objeto arg0)
Clase final<?>	obtenerclase ()
entero	código hash ()
vacío final	notificar ()
vacío final	notificar a todos ()
Cadena	a cadena ()
vacío final	esperar (arg0 largo, int arg1)
vacío final	espera (arg0 largo)
vacío final	esperar ()

Desde la interfaz org.tensorflow.proto.framework.KernelDefOrBuilder

resumen KernelDef.AttrConstraint	getConstraint (índice int) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
resumen entero	getConstraintCount () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
Lista abstracta< KernelDef.AttrConstraint >	getListaDeRestricciones () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.AttrConstraintOrBuilder abstracto	getConstraintOrBuilder (índice int) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
Lista abstracta<? extiende KernelDef.AttrConstraintOrBuilder >	getConstraintOrBuilderList () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
cadena abstracta	obtener tipo de dispositivo () Type of device this kernel runs on.
resumen com.google.protobuf.ByteString	getDeviceTypeBytes () Type of device this kernel runs on.
cadena abstracta	getHostMemoryArg (índice int) Names of the Op's input_/output_args that reside in host memory instead of device memory.
resumen com.google.protobuf.ByteString	getHostMemoryArgBytes (índice int) Names of the Op's input_/output_args that reside in host memory instead of device memory.
resumen entero	getHostMemoryArgCount () Names of the Op's input_/output_args that reside in host memory instead of device memory.
Lista abstracta<Cadena>	getHostMemoryArgList () Names of the Op's input_/output_args that reside in host memory instead of device memory.
cadena abstracta	obtenerEtiqueta () This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
resumen com.google.protobuf.ByteString	obtenerLabelBytes () This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
cadena abstracta	obtenerOp () Must match the name of an Op.
resumen com.google.protobuf.ByteString	obtenerOpBytes () Must match the name of an Op.
resumen entero	obtenerPrioridad () Prioritization of kernel amongst different devices.

Métodos públicos

public KernelDef.Builder addAllConstraint (Iterable<? extiende los valores KernelDef.AttrConstraint >)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

público KernelDef.Builder addAllHostMemoryArg (valores Iterable<String>)

 Names of the Op's input_/output_args that reside in host memory
 instead of device memory.
 

repeated string host_memory_arg = 4;

público KernelDef.Builder addConstraint (valor KernelDef.AttrConstraint )

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

público KernelDef.Builder addConstraint (índice int, valor KernelDef.AttrConstraint )

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

público KernelDef.Builder addConstraint (índice int, KernelDef.AttrConstraint.Builder builderForValue)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

público KernelDef.Builder addConstraint ( KernelDef.AttrConstraint.Builder builderForValue)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

público KernelDef.AttrConstraint.Builder addConstraintBuilder ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

público KernelDef.AttrConstraint.Builder addConstraintBuilder (índice int)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

público KernelDef.Builder addHostMemoryArg (valor de cadena)

 Names of the Op's input_/output_args that reside in host memory
 instead of device memory.
 

repeated string host_memory_arg = 4;

público KernelDef.Builder addHostMemoryArgBytes (valor com.google.protobuf.ByteString)

 Names of the Op's input_/output_args that reside in host memory
 instead of device memory.
 

repeated string host_memory_arg = 4;

público KernelDef.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)

compilación pública de KernelDef ()

public KernelDef buildPartial ()

público KernelDef.Builder claro ()

público KernelDef.Builder clearConstraint ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

público KernelDef.Builder clearDeviceType ()

 Type of device this kernel runs on.
 

string device_type = 2;

público KernelDef.Builder clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)

público KernelDef.Builder clearHostMemoryArg ()

 Names of the Op's input_/output_args that reside in host memory
 instead of device memory.
 

repeated string host_memory_arg = 4;

público KernelDef.Builder clearLabel ()

 This allows experimental kernels to be registered for an op that
 won't be used unless the user specifies a "_kernel" attr with
 value matching this.
 

string label = 5;

público KernelDef.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

público KernelDef.Builder clearOp ()

 Must match the name of an Op.
 

string op = 1;

público KernelDef.Builder clearPriority ()

 Prioritization of kernel amongst different devices. By default we assume
 priority is 0. The higher the priority the better. By default (i.e. if
 this is not set), we prefer GPU kernels over CPU.
 

int32 priority = 6;

clon público de KernelDef.Builder ()

público KernelDef.AttrConstraint getConstraint (índice int)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

público KernelDef.AttrConstraint.Builder getConstraintBuilder (índice int)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

Lista pública< KernelDef.AttrConstraint.Builder > getConstraintBuilderList ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

público int getConstraintCount ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

Lista pública< KernelDef.AttrConstraint > getConstraintList ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

público KernelDef.AttrConstraintOrBuilder getConstraintOrBuilder (índice int)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

Lista pública<? extiende KernelDef.AttrConstraintOrBuilder > getConstraintOrBuilderList ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

público KernelDef getDefaultInstanceForType ()

público estático final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

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

cadena pública getDeviceType ()

 Type of device this kernel runs on.
 

string device_type = 2;

público com.google.protobuf.ByteString getDeviceTypeBytes ()

 Type of device this kernel runs on.
 

string device_type = 2;

cadena pública getHostMemoryArg (índice int)

 Names of the Op's input_/output_args that reside in host memory
 instead of device memory.
 

repeated string host_memory_arg = 4;

público com.google.protobuf.ByteString getHostMemoryArgBytes (índice int)

 Names of the Op's input_/output_args that reside in host memory
 instead of device memory.
 

repeated string host_memory_arg = 4;

público int getHostMemoryArgCount ()

 Names of the Op's input_/output_args that reside in host memory
 instead of device memory.
 

repeated string host_memory_arg = 4;

público com.google.protobuf.ProtocolStringList getHostMemoryArgList ()

 Names of the Op's input_/output_args that reside in host memory
 instead of device memory.
 

repeated string host_memory_arg = 4;

cadena pública getLabel ()

 This allows experimental kernels to be registered for an op that
 won't be used unless the user specifies a "_kernel" attr with
 value matching this.
 

string label = 5;

público com.google.protobuf.ByteString getLabelBytes ()

 This allows experimental kernels to be registered for an op that
 won't be used unless the user specifies a "_kernel" attr with
 value matching this.
 

string label = 5;

cadena pública getOp ()

 Must match the name of an Op.
 

string op = 1;

público com.google.protobuf.ByteString getOpBytes ()

 Must match the name of an Op.
 

string op = 1;

público int getPrioridad ()

 Prioritization of kernel amongst different devices. By default we assume
 priority is 0. The higher the priority the better. By default (i.e. if
 this is not set), we prefer GPU kernels over CPU.
 

int32 priority = 6;

público final booleano isInitialized ()

KernelDef.Builder público mergeFrom (com.google.protobuf.Message otro)

KernelDef.Builder público mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)

Lanza

IOExcepción

KernelDef.Builder final público mergeUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)

público KernelDef.Builder removeConstraint (índice int)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

público KernelDef.Builder setConstraint (índice int, KernelDef.AttrConstraint.Builder builderForValue)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

público KernelDef.Builder setConstraint (índice int, valor KernelDef.AttrConstraint )

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

público KernelDef.Builder setDeviceType (valor de cadena)

 Type of device this kernel runs on.
 

string device_type = 2;

público KernelDef.Builder setDeviceTypeBytes (valor com.google.protobuf.ByteString)

 Type of device this kernel runs on.
 

string device_type = 2;

público KernelDef.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)

público KernelDef.Builder setHostMemoryArg (índice int, valor de cadena)

 Names of the Op's input_/output_args that reside in host memory
 instead of device memory.
 

repeated string host_memory_arg = 4;

público KernelDef.Builder setLabel (valor de cadena)

 This allows experimental kernels to be registered for an op that
 won't be used unless the user specifies a "_kernel" attr with
 value matching this.
 

string label = 5;

público KernelDef.Builder setLabelBytes (valor com.google.protobuf.ByteString)

 This allows experimental kernels to be registered for an op that
 won't be used unless the user specifies a "_kernel" attr with
 value matching this.
 

string label = 5;

público KernelDef.Builder setOp (valor de cadena)

 Must match the name of an Op.
 

string op = 1;

público KernelDef.Builder setOpBytes (valor com.google.protobuf.ByteString)

 Must match the name of an Op.
 

string op = 1;

público KernelDef.Builder setPriority (valor int)

 Prioritization of kernel amongst different devices. By default we assume
 priority is 0. The higher the priority the better. By default (i.e. if
 this is not set), we prefer GPU kernels over CPU.
 

int32 priority = 6;

público KernelDef.Builder setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor del objeto)

público final KernelDef.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)