OpDef.ArgDefOrBuilder

publiczny interfejs statyczny OpDef.ArgDefOrBuilder
Znane podklasy pośrednie

Metody publiczne

abstrakcyjny ciąg
pobierz opis () 
 Human readable description.
streszczenie com.google.protobuf.ByteString
getDescriptionBytes () 
 Human readable description.
abstrakcyjna wartość logiczna
getIsRef () 
 For inputs: if true, the inputs are required to be refs.
abstrakcyjny ciąg
pobierz nazwę () 
 Name for the input/output.
streszczenie com.google.protobuf.ByteString
getNameBytes () 
 Name for the input/output.
abstrakcyjny ciąg
getNumberAttr () 
 if specified, attr must have type "int"
string number_attr = 5;
streszczenie com.google.protobuf.ByteString
getNumberAttrBytes () 
 if specified, attr must have type "int"
string number_attr = 5;
abstrakcyjny typ danych
pobierzTyp () 
 Describes the type of one or more tensors that are accepted/produced
 by this input/output arg.
abstrakcyjny ciąg
getTypeAttr () 
 if specified, attr must have type "type"
string type_attr = 4;
streszczenie com.google.protobuf.ByteString
getTypeAttrBytes () 
 if specified, attr must have type "type"
string type_attr = 4;
abstrakcyjny ciąg
getTypeListAttr () 
 If specified, attr must have type "list(type)", and none of
 type, type_attr, and number_attr may be specified.
streszczenie 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.
streszczenie wew
getTypeValue () 
 Describes the type of one or more tensors that are accepted/produced
 by this input/output arg.

Metody publiczne

publiczny streszczenie String getDescription () 

 Human readable description.
string description = 2;

publiczne streszczenie com.google.protobuf.ByteString getDescriptionBytes () 

 Human readable description.
string description = 2;

publiczna abstrakcja logiczna 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;

publiczna abstrakcja String getName () 

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

publiczne streszczenie com.google.protobuf.ByteString getNameBytes () 

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

publiczna abstrakcja String getNumberAttr () 

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

publiczne streszczenie com.google.protobuf.ByteString getNumberAttrBytes () 

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

publiczny streszczenie DataType 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;

publiczny ciąg abstrakcyjny getTypeAttr () 

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

publiczne streszczenie com.google.protobuf.ByteString getTypeAttrBytes () 

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

publiczny ciąg abstrakcyjny 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;

publiczne streszczenie 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;

publiczne streszczenie 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;