공용 인터페이스 AttrValueOrBuilder 
| 알려진 간접 하위 클래스 | 
공개 방법
| 추상 부울 |  getB ()  "bool" bool b = 5; | 
| 추상 플로트 |  getF ()  "float" float f = 4; | 
| 추상 이름 속성 목록 |  getFunc ()  "func" represents a function. | 
| 추상 NameAttrListOrBuilder |  getFuncOrBuilder ()  "func" represents a function. | 
| 추상적인 긴 |  getI ()  "int" int64 i = 3; | 
| 추상 AttrValue.ListValue |  getList ()  any "list(...)" .tensorflow.AttrValue.ListValue list = 1; | 
| 추상 AttrValue.ListValueOrBuilder |  getListOrBuilder ()  any "list(...)" .tensorflow.AttrValue.ListValue list = 1; | 
| 추상 문자열 |  getPlaceholder ()  This is a placeholder only used in nodes defined inside a function. | 
| 추상 com.google.protobuf.ByteString |  getPlaceholderBytes ()  This is a placeholder only used in nodes defined inside a function. | 
| 추상 com.google.protobuf.ByteString |  getS ()  "string" bytes s = 2; | 
| 추상 TensorShapeProto |  getShape ()  "shape" .tensorflow.TensorShapeProto shape = 7; | 
| 추상 TensorShapeProtoOrBuilder |  getShapeOrBuilder ()  "shape" .tensorflow.TensorShapeProto shape = 7; | 
| 추상 TensorProto |  getTensor ()  "tensor" .tensorflow.TensorProto tensor = 8; | 
| 추상 TensorProtoOrBuilder |  getTensorOrBuilder ()  "tensor" .tensorflow.TensorProto tensor = 8; | 
| 추상 데이터 유형 |  getType ()  "type" .tensorflow.DataType type = 6; | 
| 추상 정수 |  getType값 ()  "type" .tensorflow.DataType type = 6; | 
| 추상 AttrValue.ValueCase |  getValueCase () | 
| 추상 부울 |  해즈펑크 ()  "func" represents a function. | 
| 추상 부울 |  해시리스트 ()  any "list(...)" .tensorflow.AttrValue.ListValue list = 1; | 
| 추상 부울 |  해쉬셰이프 ()  "shape" .tensorflow.TensorShapeProto shape = 7; | 
| 추상 부울 |  hasTensor ()  "tensor" .tensorflow.TensorProto tensor = 8; | 
공개 방법
공개 추상 부울 getB ()
"bool"
bool b = 5; 공개 추상 부동 getF ()
"float"
float f = 4; 공개 추상 NameAttrList getFunc ()
"func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
.tensorflow.NameAttrList func = 10; 공개 추상 NameAttrListOrBuilder getFuncOrBuilder ()
"func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
.tensorflow.NameAttrList func = 10; 공개 추상 긴 getI ()
"int"
int64 i = 3; 공개 추상 AttrValue.ListValueOrBuilder getListOrBuilder ()
any "list(...)"
.tensorflow.AttrValue.ListValue list = 1; 공개 추상 문자열 getPlaceholder ()
This is a placeholder only used in nodes defined inside a function. It indicates the attr value will be supplied when the function is instantiated. For example, let us suppose a node "N" in function "FN". "N" has an attr "A" with value placeholder = "foo". When FN is instantiated with attr "foo" set to "bar", the instantiated node N's attr A will have been given the value "bar".
string placeholder = 9; 공개 추상 com.google.protobuf.ByteString getPlaceholderBytes ()
This is a placeholder only used in nodes defined inside a function. It indicates the attr value will be supplied when the function is instantiated. For example, let us suppose a node "N" in function "FN". "N" has an attr "A" with value placeholder = "foo". When FN is instantiated with attr "foo" set to "bar", the instantiated node N's attr A will have been given the value "bar".
string placeholder = 9; 공개 추상 com.google.protobuf.ByteString getS ()
"string"
bytes s = 2; 공개 추상 TensorShapeProtoOrBuilder getShapeOrBuilder ()
"shape"
.tensorflow.TensorShapeProto shape = 7; 공개 추상 int getTypeValue ()
"type"
.tensorflow.DataType type = 6; 공개 추상 부울 hasFunc ()
"func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
.tensorflow.NameAttrList func = 10; 공개 추상 부울 hasList ()
any "list(...)"
.tensorflow.AttrValue.ListValue list = 1; 공개 추상 부울 hasShape ()
"shape"
.tensorflow.TensorShapeProto shape = 7; 공개 추상 부울 hasTensor ()
"tensor"
.tensorflow.TensorProto tensor = 8;