KernelDefOrBuilder

interface pública KernelDefOrBuilder
Subclasses indiretas conhecidas

Métodos Públicos

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

Métodos Públicos

resumo público KernelDef.AttrConstraint getConstraint (índice int)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

público abstrato int getConstraintCount ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

lista abstrata pública< KernelDef.AttrConstraint > getConstraintList ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

público abstrato KernelDef.AttrConstraintOrBuilder getConstraintOrBuilder (índice int)

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

lista abstrata pública<? estende KernelDef.AttrConstraintOrBuilder > getConstraintOrBuilderList ()

repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;

String abstrata pública getDeviceType () 

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

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

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

String abstrata 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;

resumo 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;

público abstrato 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 abstrata 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;

String abstrata 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;

resumo 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;

String abstrata pública getOp () 

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

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

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

público abstrato 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;