KernelDef.Builder

classe final estática pública KernelDef.Builder

Tipo de protobuf tensorflow.KernelDef

Métodos Públicos

KernelDef.Builder	addAllConstraint (Iterable<? estende KernelDef.AttrConstraint > valores) 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 construtorForValue) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.AttrConstraint.Builder	addConstraintBuilder () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.AttrConstraint.Builder	addConstraintBuilder (índice interno) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.Builder	addHostMemoryArg (valor da string) 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 do objeto)
KernelDef	construir ()
KernelDef	construirPartial ()
KernelDef.Builder	claro ()
KernelDef.Builder	limparConstraint () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.Builder	limparDeviceType () Type of device this kernel runs on.
KernelDef.Builder	clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)
KernelDef.Builder	clearHostMemoryArg () Names of the Op's input_/output_args that reside in host memory instead of device memory.
KernelDef.Builder	limparLabel () 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 umof)
KernelDef.Builder	limparOp () Must match the name of an Op.
KernelDef.Builder	limparPrioridade () Prioritization of kernel amongst different devices.
KernelDef.Builder	clonar ()
KernelDef.AttrConstraint	getConstraint (índice interno) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.AttrConstraint.Builder	getConstraintBuilder (índice interno) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
Lista< KernelDef.AttrConstraint.Builder >	getConstraintBuilderList () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
interno	getConstraintCount () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
Lista< KernelDef.AttrConstraint >	getConstraintList () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.AttrConstraintOrBuilder	getConstraintOrBuilder (índice interno) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
Lista<? estende KernelDef.AttrConstraintOrBuilder >	getConstraintOrBuilderList () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef	getDefaultInstanceForType ()
final estático com.google.protobuf.Descriptors.Descriptor	getDescriptor ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
Corda	getDeviceType () Type of device this kernel runs on.
com.google.protobuf.ByteString	getDeviceTypeBytes () Type of device this kernel runs on.
Corda	getHostMemoryArg (índice interno) Names of the Op's input_/output_args that reside in host memory instead of device memory.
com.google.protobuf.ByteString	getHostMemoryArgBytes (índice interno) Names of the Op's input_/output_args that reside in host memory instead of device memory.
interno	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.
Corda	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.
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.
Corda	getOp () Must match the name of an Op.
com.google.protobuf.ByteString	getOpBytes () Must match the name of an Op.
interno	obterPrioridade () Prioritization of kernel amongst different devices.
booleano final	éinicializado ()
KernelDef.Builder	mergeFrom (com.google.protobuf.Message outro)
KernelDef.Builder	mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
KernelDef.Builder final	mesclarUnknownFields (com.google.protobuf.UnknownFieldSet desconhecidoFields)
KernelDef.Builder	removeConstraint (índice interno) 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 da string) 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 do objeto)
KernelDef.Builder	setHostMemoryArg (índice int, valor String) Names of the Op's input_/output_args that reside in host memory instead of device memory.
KernelDef.Builder	setLabel (valor da string) 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 da string) Must match the name of an Op.
KernelDef.Builder	setOpBytes (valor com.google.protobuf.ByteString) Must match the name of an Op.
KernelDef.Builder	setPriority (valor interno) Prioritization of kernel amongst different devices.
KernelDef.Builder	setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor do objeto)
KernelDef.Builder final	setUnknownFields (com.google.protobuf.UnknownFieldSet desconhecidoFields)

Métodos herdados

Da classe java.lang.Object

booleano	é igual (objeto arg0)
aula final<?>	getClass ()
interno	código hash ()
vazio final	notificar ()
vazio final	notificar todos ()
Corda	toString ()
vazio final	espere (long arg0, int arg1)
vazio final	espere (arg0 longo)
vazio final	espere ()

Da interface org.tensorflow.proto.framework.KernelDefOrBuilder

abstrato KernelDef.AttrConstraint	getConstraint (índice interno) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
abstrato int	getConstraintCount () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
Lista abstrata< KernelDef.AttrConstraint >	getConstraintList () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
abstrato KernelDef.AttrConstraintOrBuilder	getConstraintOrBuilder (índice interno) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
lista abstrata<? estende KernelDef.AttrConstraintOrBuilder >	getConstraintOrBuilderList () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
cadeia abstrata	getDeviceType () Type of device this kernel runs on.
abstrato com.google.protobuf.ByteString	getDeviceTypeBytes () Type of device this kernel runs on.
cadeia abstrata	getHostMemoryArg (índice interno) Names of the Op's input_/output_args that reside in host memory instead of device memory.
abstrato com.google.protobuf.ByteString	getHostMemoryArgBytes (índice interno) Names of the Op's input_/output_args that reside in host memory instead of device memory.
abstrato int	getHostMemoryArgCount () Names of the Op's input_/output_args that reside in host memory instead of device memory.
lista abstrata<String>	getHostMemoryArgList () Names of the Op's input_/output_args that reside in host memory instead of device memory.
cadeia abstrata	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.
abstrato 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.
cadeia abstrata	getOp () Must match the name of an Op.
abstrato com.google.protobuf.ByteString	getOpBytes () Must match the name of an Op.
abstrato int	obterPrioridade () Prioritization of kernel amongst different devices.

Métodos Públicos

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

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

public 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;

public 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;

public 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 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 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;

public KernelDef.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)

compilação KernelDef pública ()

público KernelDef buildPartial ()

KernelDef.Builder público 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;

Clone KernelDef.Builder público ()

public 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<? estende KernelDef.AttrConstraintOrBuilder > getConstraintOrBuilderList ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

público KernelDef getDefaultInstanceForType ()

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

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

String 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;

String 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;

String 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;

String 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 getPrioridade ()

 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 ()

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

public KernelDef.Builder mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança

IOException

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

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;

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

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

público KernelDef.Builder setDeviceType (valor de string)

 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;

public KernelDef.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)

public KernelDef.Builder setHostMemoryArg (índice int, valor 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 setLabel (valor de string)

 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 da string)

 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;

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

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