OpDef.ArgDefOrBuilder

interface statique publique OpDef.ArgDefOrBuilder
Sous-classes indirectes connues

Méthodes publiques

chaîne abstraite
obtenirDescription () 
 Human readable description.
résumé com.google.protobuf.ByteString
getDescriptionBytes () 
 Human readable description.
booléen abstrait
getIsRef () 
 For inputs: if true, the inputs are required to be refs.
chaîne abstraite
obtenirNom () 
 Name for the input/output.
résumé com.google.protobuf.ByteString
getNameBytes () 
 Name for the input/output.
chaîne abstraite
getNumberAttr ()
 if specified, attr must have type "int"
string number_attr = 5;
résumé com.google.protobuf.ByteString
getNumberAttrBytes ()
 if specified, attr must have type "int"
string number_attr = 5;
Type de données abstrait
getType () 
 Describes the type of one or more tensors that are accepted/produced
 by this input/output arg.
chaîne abstraite
getTypeAttr ()
 if specified, attr must have type "type"
string type_attr = 4;
résumé com.google.protobuf.ByteString
getTypeAttrBytes ()
 if specified, attr must have type "type"
string type_attr = 4;
chaîne abstraite
getTypeListAttr () 
 If specified, attr must have type "list(type)", and none of
 type, type_attr, and number_attr may be specified.
résumé 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.
entier abstrait
getTypeValue () 
 Describes the type of one or more tensors that are accepted/produced
 by this input/output arg.

Méthodes publiques

chaîne abstraite publique getDescription () 

 Human readable description.
string description = 2;

résumé public com.google.protobuf.ByteString getDescriptionBytes () 

 Human readable description.
string description = 2;

public abstrait booléen 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;

chaîne abstraite publique getName () 

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

résumé public com.google.protobuf.ByteString getNameBytes () 

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

chaîne abstraite publique getNumberAttr () 

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

résumé public com.google.protobuf.ByteString getNumberAttrBytes () 

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

public abstrait 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;

chaîne abstraite publique getTypeAttr () 

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

résumé public com.google.protobuf.ByteString getTypeAttrBytes () 

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

chaîne abstraite publique 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;

résumé public 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;

public abstrait 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;