KernelDef.Builder

classe final pública estática KernelDef.Builder

tensorflow.KernelDef tipo tensorflow.KernelDef

Métodos Públicos

KernelDef.Builder	addAllConstraint (Iterable <? extends 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 interno , valor KernelDef.AttrConstraint ) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.Builder	addConstraint (índice interno , 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	addConstraintBuilder () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.AttrConstraint.Builder	addConstraintBuilder (índice interno ) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.Builder	addHostMemoryArg (valor String) Names of the Op's input_/output_args that reside in host memory instead of device memory.
KernelDef.Builder	addHostMemoryArgBytes (com.google.protobuf.ByteString value) 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	build ()
KernelDef	buildPartial ()
KernelDef.Builder	limpar ()
KernelDef.Builder	clearConstraint () repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.Builder	clearDeviceType () 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	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.
KernelDef.Builder	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
KernelDef.Builder	clearOp () Must match the name of an Op.
KernelDef.Builder	clearPriority () Prioritization of kernel amongst different devices.
KernelDef.Builder	clone ()
KernelDef.AttrConstraint	getConstraint (índice int) 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;
int	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 static com.google.protobuf.Descriptors.Descriptor	getDescriptor ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
Fragmento	getDeviceType () Type of device this kernel runs on.
com.google.protobuf.ByteString	getDeviceTypeBytes () Type of device this kernel runs on.
Fragmento	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.
int	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.
Fragmento	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.
Fragmento	getOp () Must match the name of an Op.
com.google.protobuf.ByteString	getOpBytes () Must match the name of an Op.
int	getPriority () Prioritization of kernel amongst different devices.
final booleano	isInitialized ()
KernelDef.Builder	mergeFrom (com.google.protobuf.Message other)
KernelDef.Builder	mergeFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
final KernelDef.Builder	mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
KernelDef.Builder	removeConstraint (índice interno ) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.Builder	setConstraint (int index, KernelDef.AttrConstraint.Builder builderForValue) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.Builder	setConstraint (índice interno , valor KernelDef.AttrConstraint ) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
KernelDef.Builder	setDeviceType (valor String) Type of device this kernel runs on.
KernelDef.Builder	setDeviceTypeBytes (com.google.protobuf.ByteString value) 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 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 (com.google.protobuf.ByteString value) 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 (com.google.protobuf.ByteString value) Must match the name of an Op.
KernelDef.Builder	setPriority (valor int) Prioritization of kernel amongst different devices.
KernelDef.Builder	setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor do objeto)
final KernelDef.Builder	setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

Métodos herdados

Da classe java.lang.Object

boleano	igual a (objeto arg0)
aula final <?>	getClass ()
int	hashCode ()
vazio final	notificar ()
vazio final	notificar tudo ()
Fragmento	toString ()
vazio final	espera (long arg0, int arg1)
vazio final	espera (long arg0)
vazio final	espera ()

Da interface org.tensorflow.proto.framework.KernelDefOrBuilder

abstrato KernelDef.AttrConstraint	getConstraint (índice int) repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
int abstrato	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;
String abstrata	getDeviceType () Type of device this kernel runs on.
abstract com.google.protobuf.ByteString	getDeviceTypeBytes () Type of device this kernel runs on.
String abstrata	getHostMemoryArg (índice int) Names of the Op's input_/output_args that reside in host memory instead of device memory.
abstract com.google.protobuf.ByteString	getHostMemoryArgBytes (índice int) Names of the Op's input_/output_args that reside in host memory instead of device memory.
int abstrato	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.
String 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.
abstract 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 abstrata	getOp () Must match the name of an Op.
abstract com.google.protobuf.ByteString	getOpBytes () Must match the name of an Op.
int abstrato	getPriority () Prioritization of kernel amongst different devices.

Métodos Públicos

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

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

public KernelDef.Builder addAllHostMemoryArg (Iterable <String> values)

 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 addConstraint (valor KernelDef.AttrConstraint )

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

public KernelDef.Builder addConstraint (int index, KernelDef.AttrConstraint value)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

public KernelDef.Builder addConstraint (int index, KernelDef.AttrConstraint.Builder builderForValue)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

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

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

public KernelDef.AttrConstraint.Builder addConstraintBuilder ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

public KernelDef.AttrConstraint.Builder addConstraintBuilder (índice interno )

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

public KernelDef.Builder addHostMemoryArg (String value)

 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 addHostMemoryArgBytes (com.google.protobuf.ByteString value)

 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)

public KernelDef build ()

public KernelDef buildPartial ()

public KernelDef.Builder clear ()

public KernelDef.Builder clearConstraint ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

public KernelDef.Builder clearDeviceType ()

 Type of device this kernel runs on.
 

string device_type = 2;

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

public 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;

public KernelDef.Builder clearLabel ()

Rótulo da string label = 5;

 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;

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

public KernelDef.Builder clearOp ()

 Must match the name of an Op.
 

string op = 1;

public 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 public KernelDef.Builder ()

public KernelDef.AttrConstraint getConstraint (int index)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

public KernelDef.AttrConstraint.Builder getConstraintBuilder (índice interno )

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

public List < KernelDef.AttrConstraint.Builder > getConstraintBuilderList ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

public int getConstraintCount ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

Lista pública < KernelDef.AttrConstraint > getConstraintList ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

public KernelDef.AttrConstraintOrBuilder getConstraintOrBuilder (índice interno )

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

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

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

public KernelDef getDefaultInstanceForType ()

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

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

public String getDeviceType ()

 Type of device this kernel runs on.
 

string device_type = 2;

public com.google.protobuf.ByteString getDeviceTypeBytes ()

 Type of device this kernel runs on.
 

string device_type = 2;

public String getHostMemoryArg (índice interno )

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

repeated string host_memory_arg = 4;

public com.google.protobuf.ByteString getHostMemoryArgBytes (int index)

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

repeated string host_memory_arg = 4;

public 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;

public 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;

public String getLabel ()

Rótulo da string label = 5;

 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;

public com.google.protobuf.ByteString getLabelBytes ()

Rótulo da string label = 5;

 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;

public String getOp ()

 Must match the name of an Op.
 

string op = 1;

public com.google.protobuf.ByteString getOpBytes ()

 Must match the name of an Op.
 

string op = 1;

public int getPriority ()

 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 final boolean isInitialized ()

public KernelDef.Builder mergeFrom (com.google.protobuf.Message other)

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

Lança

IOException

public final KernelDef.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

public KernelDef.Builder removeConstraint (índice interno )

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

public KernelDef.Builder setConstraint (int index, KernelDef.AttrConstraint.Builder builderForValue)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

public KernelDef.Builder setConstraint (int index, KernelDef.AttrConstraint value)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

public KernelDef.Builder setDeviceType (String value)

 Type of device this kernel runs on.
 

string device_type = 2;

public 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 (int index, String value)

 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 setLabel (String value)

Rótulo da string label = 5;

 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;

public KernelDef.Builder setLabelBytes (com.google.protobuf.ByteString value)

Rótulo da string label = 5;

 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;

public KernelDef.Builder setOp (String value)

 Must match the name of an Op.
 

string op = 1;

public KernelDef.Builder setOpBytes (com.google.protobuf.ByteString value)

 Must match the name of an Op.
 

string op = 1;

public 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)

public final KernelDef.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)