パブリック インターフェイスTypeSpecProtoOrBuilder
既知の間接サブクラス |
パブリックメソッド
抽象TypeSpecProto.TypeSpecClass | getTypeSpecClass () .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1; |
抽象文字列 | getTypeSpecClassName () This is currently redundant with the type_spec_class enum, and is only used for error reporting. |
抽象的な com.google.protobuf.ByteString | getTypeSpecClassNameBytes () This is currently redundant with the type_spec_class enum, and is only used for error reporting. |
抽象整数 | getTypeSpecClassValue () .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1; |
抽象的な構造化された値 | getTypeState () The value returned by TypeSpec._serialize(). |
抽象的なStructuredValueOrBuilder | getTypeStateOrBuilder () The value returned by TypeSpec._serialize(). |
抽象ブール値 | hasTypeState () The value returned by TypeSpec._serialize(). |
パブリックメソッド
パブリック抽象TypeSpecProto.TypeSpecClass getTypeSpecClass ()
.tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
public abstract String getTypeSpecClassName ()
This is currently redundant with the type_spec_class enum, and is only used for error reporting. In particular, if you use an older binary to load a newer model, and the model uses a TypeSpecClass that the older binary doesn't support, then this lets us display a useful error message.
string type_spec_class_name = 3;
public abstract com.google.protobuf.ByteString getTypeSpecClassNameBytes ()
This is currently redundant with the type_spec_class enum, and is only used for error reporting. In particular, if you use an older binary to load a newer model, and the model uses a TypeSpecClass that the older binary doesn't support, then this lets us display a useful error message.
string type_spec_class_name = 3;
public abstract int getTypeSpecClassValue ()
.tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
パブリック抽象StructuredValue getTypeState ()
The value returned by TypeSpec._serialize().
.tensorflow.StructuredValue type_state = 2;
パブリック抽象StructuredValueOrBuilder getTypeStateOrBuilder ()
The value returned by TypeSpec._serialize().
.tensorflow.StructuredValue type_state = 2;
public abstract boolean hasTypeState ()
The value returned by TypeSpec._serialize().
.tensorflow.StructuredValue type_state = 2;