OpDef.ArgDefOrBuilder

antarmuka statis publik OpDef.ArgDefOrBuilder
Subkelas Tidak Langsung yang Diketahui

Metode Publik

Tali abstrak
dapatkanDeskripsi ()
 Human readable description.
abstrak com.google.protobuf.ByteString
dapatkanDeskripsiBytes ()
 Human readable description.
boolean abstrak
dapatkanIsRef ()
 For inputs: if true, the inputs are required to be refs.
Tali abstrak
dapatkan Nama ()
 Name for the input/output.
abstrak com.google.protobuf.ByteString
dapatkanNamaBytes ()
 Name for the input/output.
Tali abstrak
dapatkanNumberAttr ()
 if specified, attr must have type "int"
string number_attr = 5;
abstrak com.google.protobuf.ByteString
dapatkanNumberAttrBytes ()
 if specified, attr must have type "int"
string number_attr = 5;
Tipe Data abstrak
dapatkan Tipe ()
 Describes the type of one or more tensors that are accepted/produced
 by this input/output arg.
Tali abstrak
dapatkanTypeAttr ()
 if specified, attr must have type "type"
string type_attr = 4;
abstrak com.google.protobuf.ByteString
dapatkanTypeAttrBytes ()
 if specified, attr must have type "type"
string type_attr = 4;
Tali abstrak
dapatkanTypeListAttr ()
 If specified, attr must have type "list(type)", and none of
 type, type_attr, and number_attr may be specified.
abstrak 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.
abstrak ke dalam
dapatkanTypeValue ()
 Describes the type of one or more tensors that are accepted/produced
 by this input/output arg.

Metode Publik

abstrak publik String getDescription () 

 Human readable description.
string description = 2;

abstrak publik com.google.protobuf.ByteString getDescriptionBytes () 

 Human readable description.
string description = 2;

boolean abstrak publik 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;

abstrak publik String getName () 

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

abstrak publik com.google.protobuf.ByteString getNameBytes () 

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

String abstrak publik getNumberAttr () 

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

abstrak publik com.google.protobuf.ByteString getNumberAttrBytes () 

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

Tipe Data abstrak publik 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;

String abstrak publik getTypeAttr () 

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

abstrak publik com.google.protobuf.ByteString getTypeAttrBytes () 

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

String abstrak publik 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;

abstrak publik 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;

abstrak publik 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;