OpDef.ArgDefOrBuilder

общедоступный статический интерфейс OpDef.ArgDefOrBuilder
Известные косвенные подклассы

Публичные методы

абстрактная строка
получитьОписание ()
 Human readable description.
абстрактный com.google.protobuf.ByteString
getDescriptionBytes ()
 Human readable description.
абстрактное логическое значение
getIsRef ()
 For inputs: if true, the inputs are required to be refs.
абстрактная строка
получитьИмя ()
 Name for the input/output.
абстрактный com.google.protobuf.ByteString
getNameBytes ()
 Name for the input/output.
абстрактная строка
getNumberAttr ()
 if specified, attr must have type "int"
string number_attr = 5;
абстрактный com.google.protobuf.ByteString
getNumberAttrBytes ()
 if specified, attr must have type "int"
string number_attr = 5;
абстрактный тип данных
ПолучитьТип ()
 Describes the type of one or more tensors that are accepted/produced
 by this input/output arg.
абстрактная строка
getTypeAttr ()
 if specified, attr must have type "type"
string type_attr = 4;
абстрактный com.google.protobuf.ByteString
getTypeAttrBytes ()
 if specified, attr must have type "type"
string type_attr = 4;
абстрактная строка
getTypeListAttr ()
 If specified, attr must have type "list(type)", and none of
 type, type_attr, and number_attr may be specified.
абстрактный 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.
абстрактный int
получитьТипЗначения ()
 Describes the type of one or more tensors that are accepted/produced
 by this input/output arg.

Публичные методы

общедоступная абстрактная строка getDescription () 

 Human readable description.
string description = 2;

публичный абстрактный com.google.protobuf.ByteString getDescriptionBytes () 

 Human readable description.
string description = 2;

общедоступное абстрактное логическое значение getIsRef () 

 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;

общедоступная абстрактная строка getName () 

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

общедоступный абстрактный com.google.protobuf.ByteString getNameBytes () 

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

общедоступная абстрактная строка getNumberAttr () 

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

общедоступный абстрактный com.google.protobuf.ByteString getNumberAttrBytes () 

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

общедоступный абстрактный тип данных 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;

общедоступная абстрактная строка getTypeAttr () 

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

общедоступный абстрактный com.google.protobuf.ByteString getTypeAttrBytes () 

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

общедоступная абстрактная строка 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;

общедоступный абстрактный 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;

общедоступный абстрактный 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;