パブリック静的インターフェイスOpDef.ArgDefOrBuilder
既知の間接サブクラス |
パブリックメソッド
抽象文字列 | get説明() Human readable description. |
抽象的な com.google.protobuf.ByteString | getDescriptionBytes () Human readable description. |
抽象ブール値 | getIsRef () For inputs: if true, the inputs are required to be refs. |
抽象文字列 | getName () Name for the input/output. |
抽象的な com.google.protobuf.ByteString | getNameBytes () Name for the input/output. |
抽象文字列 | getNumberAttr () if specified, attr must have type "int" string number_attr = 5; |
抽象的な com.google.protobuf.ByteString | getNumberAttrBytes () if specified, attr must have type "int" string number_attr = 5; |
抽象データ型 | getType () Describes the type of one or more tensors that are accepted/produced by this input/output arg. |
抽象文字列 | getTypeAttr () if specified, attr must have type "type" string type_attr = 4; |
抽象的な com.google.protobuf.ByteString | getTypeAttrBytes () if specified, attr must have type "type" string type_attr = 4; |
抽象文字列 | getTypeListAttr () If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified. |
抽象的な 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. |
抽象整数 | getTypeValue () Describes the type of one or more tensors that are accepted/produced by this input/output arg. |
パブリックメソッド
パブリックabstract String getDescription ()
Human readable description.
string description = 2;
パブリック抽象 com.google.protobuf.ByteString getDescriptionBytes ()
Human readable description.
string description = 2;
パブリック抽象ブール値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;
パブリック抽象 String getName ()
Name for the input/output. Should match the regexp "[a-z][a-z0-9_]*".
string name = 1;
パブリック抽象 com.google.protobuf.ByteString getNameBytes ()
Name for the input/output. Should match the regexp "[a-z][a-z0-9_]*".
string name = 1;
パブリック抽象 String getNumberAttr ()
if specified, attr must have type "int"
string number_attr = 5;
パブリック抽象 com.google.protobuf.ByteString getNumberAttrBytes ()
if specified, attr must have type "int"
string number_attr = 5;
public abstract 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;
パブリック抽象 String getTypeAttr ()
if specified, attr must have type "type"
string type_attr = 4;
パブリック抽象 com.google.protobuf.ByteString getTypeAttrBytes ()
if specified, attr must have type "type"
string type_attr = 4;
パブリック抽象 String 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;
パブリック抽象 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;
パブリック抽象 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;