KernelDefOrBuilder

antarmuka publik KernelDefOrBuilder
Subkelas Tidak Langsung yang Diketahui

Metode Publik

abstrak KernelDef.AttrConstraint
getConstraint (indeks int)
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
abstrak ke dalam
dapatkanConstraintCount ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
Daftar abstrak< KernelDef.AttrConstraint >
dapatkanConstraintList ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
abstrak KernelDef.AttrConstraintOrBuilder
getConstraintOrBuilder (indeks int)
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
Daftar abstrak<? memperluas KernelDef.AttrConstraintOrBuilder >
dapatkanConstraintOrBuilderList ()
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
Tali abstrak
dapatkanDeviceType ()
 Type of device this kernel runs on.
abstrak com.google.protobuf.ByteString
dapatkanDeviceTypeBytes ()
 Type of device this kernel runs on.
Tali abstrak
getHostMemoryArg (indeks int)
 Names of the Op's input_/output_args that reside in host memory
 instead of device memory.
abstrak com.google.protobuf.ByteString
getHostMemoryArgBytes (indeks int)
 Names of the Op's input_/output_args that reside in host memory
 instead of device memory.
abstrak ke dalam
dapatkanHostMemoryArgCount ()
 Names of the Op's input_/output_args that reside in host memory
 instead of device memory.
Daftar abstrak<String>
dapatkanHostMemoryArgList ()
 Names of the Op's input_/output_args that reside in host memory
 instead of device memory.
Tali abstrak
dapatkanLabel ()
 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.
abstrak com.google.protobuf.ByteString
dapatkanLabelBytes ()
 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.
Tali abstrak
dapatkanOp ()
 Must match the name of an Op.
abstrak com.google.protobuf.ByteString
dapatkanOpBytes ()
 Must match the name of an Op.
abstrak ke dalam
dapatkan Prioritas ()
 Prioritization of kernel amongst different devices.

Metode Publik

abstrak publik KernelDef.AttrConstraint getConstraint (indeks int)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

abstrak publik int getConstraintCount ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

Daftar abstrak publik< KernelDef.AttrConstraint > getConstraintList ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

abstrak publik KernelDef.AttrConstraintOrBuilder getConstraintOrBuilder (int indeks)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

Daftar abstrak publik<? memperluas KernelDef.AttrConstraintOrBuilder > getConstraintOrBuilderList ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

String abstrak publik getDeviceType () 

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

abstrak publik com.google.protobuf.ByteString getDeviceTypeBytes () 

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

String abstrak publik getHostMemoryArg (int indeks) 

 Names of the Op's input_/output_args that reside in host memory
 instead of device memory.
repeated string host_memory_arg = 4;

abstrak publik com.google.protobuf.ByteString getHostMemoryArgBytes (indeks int) 

 Names of the Op's input_/output_args that reside in host memory
 instead of device memory.
repeated string host_memory_arg = 4;

abstrak publik 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;

Daftar abstrak publik<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;

abstrak publik String 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;

abstrak publik 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;

abstrak publik String getOp () 

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

abstrak publik com.google.protobuf.ByteString getOpBytes () 

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

abstrak publik 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;