OpDef.ArgDefOrBuilder

رابط استاتیک عمومی OpDef.ArgDefOrBuilder
زیر کلاس های غیر مستقیم شناخته شده

روش های عمومی

رشته انتزاعی
getDescription ()
 Human readable description.
چکیده com.google.protobuf.ByteString
getDescriptionBytes ()
 Human readable description.
بولی انتزاعی
getIsRef ()
 For inputs: if true, the inputs are required to be refs.
رشته انتزاعی
getName ()
 Name for the input/output.
چکیده com.google.protobuf.ByteString
getNameBytes ()
 Name for the input/output.
رشته انتزاعی
getNumberAttr ()
 if specified, attr must have type "int"
string number_attr = 5;
چکیده com.google.protobuf.ByteString
getNumberAttrBytes ()
 if specified, attr must have type "int"
string number_attr = 5;
نوع داده انتزاعی
getType ()
 Describes the type of one or more tensors that are accepted/produced
 by this input/output arg.
رشته انتزاعی
getTypeAttr ()
رشته
 if specified, attr must have type "type"
string type_attr = 4;
چکیده com.google.protobuf.ByteString
getTypeAttrBytes ()
رشته
 if specified, attr must have type "type"
string type_attr = 4;
رشته انتزاعی
getTypeListAttr ()
 If specified, attr must have type "list(type)", and none of
 type, type_attr, and number_attr may be specified.
چکیده 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.
انتزاعی
getTypeValue ()
 Describes the type of one or more tensors that are accepted/produced
 by this input/output arg.

روش های عمومی

رشته انتزاعی عمومی getDescription ()

string description = 2;

 Human readable description.
= 2;

چکیده عمومی com.google.protobuf.ByteString getDescriptionBytes () 

 Human readable description.
string description = 2;

getIsRef بولی انتزاعی عمومی () 

 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;

رشته انتزاعی عمومی getName () 

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

چکیده عمومی com.google.protobuf.ByteString getNameBytes () 

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

رشته انتزاعی عمومی getNumberAttr () 

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

چکیده عمومی com.google.protobuf.ByteString getNumberAttrBytes () 

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

انتزاعی عمومی 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;

رشته انتزاعی عمومی getTypeAttr ()

رشته

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

چکیده عمومی com.google.protobuf.ByteString getTypeAttrBytes ()

رشته

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

رشته انتزاعی عمومی getTypeListAttr ()

رشته

 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;

چکیده عمومی com.google.protobuf.ByteString getTypeListAttrBytes ()

رشته

 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;

انتزاعی عمومی 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;