OpDef.ArgDefOrBuilder

interfaz estática pública OpDef.ArgDefOrBuilder
Subclases indirectas conocidas

Métodos públicos

cadena abstracta
obtener descripción () 
 Human readable description.
resumen com.google.protobuf.ByteString
obtenerDescripciónBytes () 
 Human readable description.
booleano abstracto
obtenerIsRef () 
 For inputs: if true, the inputs are required to be refs.
cadena abstracta
obtenerNombre () 
 Name for the input/output.
resumen com.google.protobuf.ByteString
getNombreBytes () 
 Name for the input/output.
cadena abstracta
getNumberAttr () 
 if specified, attr must have type "int"
string number_attr = 5;
resumen com.google.protobuf.ByteString
getNumberAttrBytes () 
 if specified, attr must have type "int"
string number_attr = 5;
tipo de datos abstracto
obtener tipo () 
 Describes the type of one or more tensors that are accepted/produced
 by this input/output arg.
cadena abstracta
getTypeAttr () 
 if specified, attr must have type "type"
string type_attr = 4;
resumen com.google.protobuf.ByteString
getTypeAttrBytes () 
 if specified, attr must have type "type"
string type_attr = 4;
cadena abstracta
getTypeListAttr () 
 If specified, attr must have type "list(type)", and none of
 type, type_attr, and number_attr may be specified.
resumen com.google.protobuf.ByteString
getTypeListAttrBytes () 
 If specified, attr must have type "list(type)", and none of
 type, type_attr, and number_attr may be specified.
resumen entero
obtenerTipoValor () 
 Describes the type of one or more tensors that are accepted/produced
 by this input/output arg.

Métodos públicos

Cadena abstracta pública getDescription () 

 Human readable description.
string description = 2;

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

 Human readable description.
string description = 2;

getIsRef booleano abstracto público () 

 For inputs: if true, the inputs are required to be refs.
   By default, inputs can be either refs or non-refs.
 For outputs: if true, outputs are refs, otherwise they are not.
bool is_ref = 16;

Cadena abstracta pública getName () 

 Name for the input/output.  Should match the regexp "[a-z][a-z0-9_]*".
string name = 1;

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

 Name for the input/output.  Should match the regexp "[a-z][a-z0-9_]*".
string name = 1;

Cadena abstracta pública getNumberAttr () 

 if specified, attr must have type "int"
string number_attr = 5;

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

 if specified, attr must have type "int"
string number_attr = 5;

tipo de datos abstracto público getType () 

 Describes the type of one or more tensors that are accepted/produced
 by this input/output arg.  The only legal combinations are:
 * For a single tensor: either the "type" field is set or the
   "type_attr" field is set to the name of an attr with type "type".
 * For a sequence of tensors with the same type: the "number_attr"
   field will be set to the name of an attr with type "int", and
   either the "type" or "type_attr" field will be set as for
   single tensors.
 * For a sequence of tensors, the "type_list_attr" field will be set
   to the name of an attr with type "list(type)".
.tensorflow.DataType type = 3;

Cadena abstracta pública getTypeAttr () 

 if specified, attr must have type "type"
string type_attr = 4;

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

 if specified, attr must have type "type"
string type_attr = 4;

Cadena abstracta pública getTypeListAttr () 

 If specified, attr must have type "list(type)", and none of
 type, type_attr, and number_attr may be specified.
string type_list_attr = 6;

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

 If specified, attr must have type "list(type)", and none of
 type, type_attr, and number_attr may be specified.
string type_list_attr = 6;

resumen público int getTypeValue () 

 Describes the type of one or more tensors that are accepted/produced
 by this input/output arg.  The only legal combinations are:
 * For a single tensor: either the "type" field is set or the
   "type_attr" field is set to the name of an attr with type "type".
 * For a sequence of tensors with the same type: the "number_attr"
   field will be set to the name of an attr with type "int", and
   either the "type" or "type_attr" field will be set as for
   single tensors.
 * For a sequence of tensors, the "type_list_attr" field will be set
   to the name of an attr with type "list(type)".
.tensorflow.DataType type = 3;