KernelDefOrBuilder

interfaz pública KernelDefOrBuilder
Subclases indirectas conocidas

Métodos públicos

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

resumen público KernelDef.AttrConstraint getConstraint (índice int)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

resumen público int getConstraintCount ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

Lista abstracta pública< KernelDef.AttrConstraint > getConstraintList ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

resumen público KernelDef.AttrConstraintOrBuilder getConstraintOrBuilder (índice int)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

Lista de resúmenes públicos <? extiende KernelDef.AttrConstraintOrBuilder > getConstraintOrBuilderList ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

Cadena abstracta pública getDeviceType () 

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

resumen público com.google.protobuf.ByteString getDeviceTypeBytes () 

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

Cadena abstracta 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;

resumen 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;

resumen 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;

Lista abstracta pública<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;

Cadena abstracta 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;

resumen 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 abstracta pública getOp () 

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

resumen público com.google.protobuf.ByteString getOpBytes () 

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

resumen público 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;