KernelDefOrBuilder

interface pública KernelDefOrBuilder
Subclasses indiretas conhecidas

Métodos Públicos

abstrato KernelDef.AttrConstraint
getConstraint (índice int)
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;
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.
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.
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.
abstrato int
getPriority ()
 Prioritization of kernel amongst different devices.

Métodos Públicos

public abstract KernelDef.AttrConstraint getConstraint (int index)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

public abstract int getConstraintCount ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

Lista abstrata pública < KernelDef.AttrConstraint > getConstraintList ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

public abstract KernelDef.AttrConstraintOrBuilder getConstraintOrBuilder (índice interno )

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

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

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

public abstract String getDeviceType () 

 Type of device this kernel runs on.
string device_type = 2;

public abstract com.google.protobuf.ByteString getDeviceTypeBytes () 

 Type of device this kernel runs on.
string device_type = 2;

public abstract String 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;

public abstract 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 abstract 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 abstract List <String> 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 abstract 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 abstract 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 abstract String getOp () 

 Must match the name of an Op.
string op = 1;

public abstract com.google.protobuf.ByteString getOpBytes () 

 Must match the name of an Op.
string op = 1;

public abstract 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;