パブリック インターフェイスAttrValueOrBuilder 
| 既知の間接サブクラス | 
パブリックメソッド
| 抽象ブール値 | getB ()  "bool" bool b = 5; | 
| 抽象的なフロート | getF ()  "float" float f = 4; | 
| 抽象的なNameAttrList |  getFunc ()  "func" represents a function. | 
| 抽象的なNameAttrListOrBuilder |  getFuncOrBuilder ()  "func" represents a function. | 
| 抽象的な長い | getI ()  "int" int64 i = 3; | 
| 抽象AttrValue.ListValue |  getList ()  any "list(...)" .tensorflow.AttrValue.ListValue list = 1; | 
| 抽象AttrValue.ListValueOrBuilder |  getListOrBuilder ()  any "list(...)" .tensorflow.AttrValue.ListValue list = 1; | 
| 抽象文字列 | getプレースホルダー()  This is a placeholder only used in nodes defined inside a function. | 
| 抽象的な com.google.protobuf.ByteString |  getPlaceholderBytes ()  This is a placeholder only used in nodes defined inside a function. | 
| 抽象的な com.google.protobuf.ByteString |  getS ()  "string" bytes s = 2; | 
| 抽象TensorShapeProto |  getShape ()  "shape" .tensorflow.TensorShapeProto shape = 7; | 
| 抽象TensorShapeProtoOrBuilder |  getShapeOrBuilder ()  "shape" .tensorflow.TensorShapeProto shape = 7; | 
| 抽象TensorProto |  getTensor ()  "tensor" .tensorflow.TensorProto tensor = 8; | 
| 抽象TensorProtoOrBuilder |  getTensorOrBuilder ()  "tensor" .tensorflow.TensorProto tensor = 8; | 
| 抽象データ型 | getType ()  "type" .tensorflow.DataType type = 6; | 
| 抽象整数 | getTypeValue ()  "type" .tensorflow.DataType type = 6; | 
| 抽象AttrValue.ValueCase |  getValueCase () | 
| 抽象ブール値 | hasFunc ()  "func" represents a function. | 
| 抽象ブール値 | hasList ()  any "list(...)" .tensorflow.AttrValue.ListValue list = 1; | 
| 抽象ブール値 | hasShape ()  "shape" .tensorflow.TensorShapeProto shape = 7; | 
| 抽象ブール値 | hasTensor ()  "tensor" .tensorflow.TensorProto tensor = 8; | 
パブリックメソッド
パブリック抽象ブール値 getB ()
"bool"
bool b = 5; パブリック抽象浮動小数点getF ()
"float"
float f = 4; パブリック抽象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; パブリック抽象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; パブリック抽象ロングgetI ()
"int"
int64 i = 3; パブリック抽象AttrValue.ListValueOrBuilder getListOrBuilder ()
any "list(...)"
.tensorflow.AttrValue.ListValue list = 1; public abstract String 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; パブリック抽象 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; パブリック抽象 com.google.protobuf.ByteString getS ()
"string"
bytes s = 2; パブリック抽象TensorShapeProtoOrBuilder getShapeOrBuilder ()
"shape"
.tensorflow.TensorShapeProto shape = 7; パブリック抽象 int getTypeValue ()
"type"
.tensorflow.DataType type = 6; パブリック抽象ブール値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; パブリック抽象ブール値hasList ()
any "list(...)"
.tensorflow.AttrValue.ListValue list = 1; パブリック抽象ブール値hasShape ()
"shape"
.tensorflow.TensorShapeProto shape = 7; public abstract boolean hasTensor ()
"tensor"
.tensorflow.TensorProto tensor = 8;