KernelDefOrBuilder

interfaz pública KernelDefOrBuilder
Subclases indirectas conocidas

Métodos públicos

resumen KernelDef.AttrConstraint
getConstraint (índice int)
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
int abstracto
getConstraintCount ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
Lista abstracta < KernelDef.AttrConstraint >
getConstraintList ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
resumen KernelDef.AttrConstraintOrBuilder
getConstraintOrBuilder (índice int)
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
Resumen Lista <? extiende KernelDef.AttrConstraintOrBuilder >
getConstraintOrBuilderList ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
cadena abstracta
getDeviceType ()
 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.
int abstracto
getHostMemoryArgCount ()
 Names of the Op's input_/output_args that reside in host memory
 instead of device memory.
Lista abstracta <String>
getHostMemoryArgList ()
 Names of the Op's input_/output_args that reside in host memory
 instead of device memory.
cadena abstracta
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.
resumen 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.
cadena abstracta
getOp ()
 Must match the name of an Op.
resumen com.google.protobuf.ByteString
getOpBytes ()
 Must match the name of an Op.
int abstracto
getPriority ()
 Prioritization of kernel amongst different devices.

Métodos públicos

resumen público KernelDef.AttrConstraint getConstraint (índice int)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

public abstract int getConstraintCount ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

Lista pública abstracta < KernelDef.AttrConstraint > getConstraintList ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

resumen público KernelDef.AttrConstraintOrBuilder getConstraintOrBuilder (índice int)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

Lista de resumen público <? extiende KernelDef.AttrConstraintOrBuilder > getConstraintOrBuilderList ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

getDeviceType de cadena abstracta pública () 

 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;

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;

Lista pública abstracta <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;

getLabel () de cadena abstracta pública 

 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;

getOp () de cadena abstracta pública 

 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;

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;