interface publique StructuredValueOrBuilder
| Sous-classes indirectes connues |
Méthodes publiques
| booléen abstrait | getBoolValue () Represents a boolean value. |
| abstrait BoundedTensorSpecProto | getBoundedTensorSpecValue () Represents a value for tf.BoundedTensorSpec. |
| abstrait BoundedTensorSpecProtoOrBuilder | getBoundedTensorSpecValueOrBuilder () Represents a value for tf.BoundedTensorSpec. |
| valeur de dictée abstraite | obtenirDictValue () Represents a dict `Value`. |
| résumé DictValueOrBuilder | getDictValueOrBuilder () Represents a dict `Value`. |
| double abstrait | obtenirFloat64Value () Represents a double-precision floating-point value (a Python `float`). |
| abstrait long | getInt64Value () Represents a signed integer value, limited to 64 bits. |
| abstrait StructuredValue.KindCase | getKindCase () |
| valeur de liste abstraite | getListValue () Represents a list of `Value`. |
| résumé ListValueOrBuilder | getListValueOrBuilder () Represents a list of `Value`. |
| résumé NamedTupleValue | getNamedTupleValue () Represents Python's namedtuple. |
| résumé NamedTupleValueOrBuilder | getNamedTupleValueOrBuilder () Represents Python's namedtuple. |
| résumé AucuneValeur | getNoneValue () Represents None. |
| résumé AucunValueOrBuilder | getNoneValueOrBuilder () Represents None. |
| chaîne abstraite | getStringValue () Represents a string of Unicode characters stored in a Python `str`. |
| résumé com.google.protobuf.ByteString | getStringValueBytes () Represents a string of Unicode characters stored in a Python `str`. |
| Type de données abstrait | getTensorDtypeValue () Represents an enum value for dtype. |
| abstrait entier | getTensorDtypeValueValue () Represents an enum value for dtype. |
| TensorShapeProto abstrait | getTensorShapeValue () Represents a TensorShape. |
| abstrait TensorShapeProtoOrBuilder | getTensorShapeValueOrBuilder () Represents a TensorShape. |
| TensorSpecProto abstrait | getTensorSpecValue () Represents a value for tf.TensorSpec. |
| abstrait TensorSpecProtoOrBuilder | getTensorSpecValueOrBuilder () Represents a value for tf.TensorSpec. |
| Valeur de Tuple abstraite | obtenirTupleValue () Represents a tuple of `Value`. |
| TupleValueOrBuilder abstrait | getTupleValueOrBuilder () Represents a tuple of `Value`. |
| TypeSpecProto abstrait | getTypeSpecValue () Represents a value for tf.TypeSpec. |
| abstrait TypeSpecProtoOrBuilder | getTypeSpecValueOrBuilder () Represents a value for tf.TypeSpec. |
| booléen abstrait | hasBoundedTensorSpecValue () Represents a value for tf.BoundedTensorSpec. |
| booléen abstrait | hasDictValue () Represents a dict `Value`. |
| booléen abstrait | hasListValue () Represents a list of `Value`. |
| booléen abstrait | hasNamedTupleValue () Represents Python's namedtuple. |
| booléen abstrait | hasNoneValue () Represents None. |
| booléen abstrait | hasTensorShapeValue () Represents a TensorShape. |
| booléen abstrait | hasTensorSpecValue () Represents a value for tf.TensorSpec. |
| booléen abstrait | hasTupleValue () Represents a tuple of `Value`. |
| booléen abstrait | hasTypeSpecValue () Represents a value for tf.TypeSpec. |
Méthodes publiques
public abstrait booléen getBoolValue ()
Represents a boolean value.
bool bool_value = 14; résumé public BoundedTensorSpecProto getBoundedTensorSpecValue ()
Represents a value for tf.BoundedTensorSpec.
.tensorflow.BoundedTensorSpecProto bounded_tensor_spec_value = 35; résumé public BoundedTensorSpecProtoOrBuilder getBoundedTensorSpecValueOrBuilder ()
Represents a value for tf.BoundedTensorSpec.
.tensorflow.BoundedTensorSpecProto bounded_tensor_spec_value = 35; résumé public DictValue getDictValue ()
Represents a dict `Value`.
.tensorflow.DictValue dict_value = 53; résumé public DictValueOrBuilder getDictValueOrBuilder ()
Represents a dict `Value`.
.tensorflow.DictValue dict_value = 53; public abstrait double getFloat64Value ()
Represents a double-precision floating-point value (a Python `float`).
double float64_value = 11; public abstrait long getInt64Value ()
Represents a signed integer value, limited to 64 bits. Larger values from Python's arbitrary-precision integers are unsupported.
sint64 int64_value = 12; résumé public ListValue getListValue ()
Represents a list of `Value`.
.tensorflow.ListValue list_value = 51; résumé public ListValueOrBuilder getListValueOrBuilder ()
Represents a list of `Value`.
.tensorflow.ListValue list_value = 51; résumé public NamedTupleValue getNamedTupleValue ()
Represents Python's namedtuple.
.tensorflow.NamedTupleValue named_tuple_value = 54; résumé public NamedTupleValueOrBuilder getNamedTupleValueOrBuilder ()
Represents Python's namedtuple.
.tensorflow.NamedTupleValue named_tuple_value = 54; résumé public NoneValueOrBuilder getNoneValueOrBuilder ()
Represents None.
.tensorflow.NoneValue none_value = 1; chaîne abstraite publique getStringValue ()
Represents a string of Unicode characters stored in a Python `str`. In Python 3, this is exactly what type `str` is. In Python 2, this is the UTF-8 encoding of the characters. For strings with ASCII characters only (as often used in TensorFlow code) there is effectively no difference between the language versions. The obsolescent `unicode` type of Python 2 is not supported here.
string string_value = 13; résumé public com.google.protobuf.ByteString getStringValueBytes ()
Represents a string of Unicode characters stored in a Python `str`. In Python 3, this is exactly what type `str` is. In Python 2, this is the UTF-8 encoding of the characters. For strings with ASCII characters only (as often used in TensorFlow code) there is effectively no difference between the language versions. The obsolescent `unicode` type of Python 2 is not supported here.
string string_value = 13; public abstrait DataType getTensorDtypeValue ()
Represents an enum value for dtype.
.tensorflow.DataType tensor_dtype_value = 32; public abstrait int getTensorDtypeValueValue ()
Represents an enum value for dtype.
.tensorflow.DataType tensor_dtype_value = 32; résumé public TensorShapeProto getTensorShapeValue ()
Represents a TensorShape.
.tensorflow.TensorShapeProto tensor_shape_value = 31; résumé public TensorShapeProtoOrBuilder getTensorShapeValueOrBuilder ()
Represents a TensorShape.
.tensorflow.TensorShapeProto tensor_shape_value = 31; résumé public TensorSpecProto getTensorSpecValue ()
Represents a value for tf.TensorSpec.
.tensorflow.TensorSpecProto tensor_spec_value = 33; résumé public TensorSpecProtoOrBuilder getTensorSpecValueOrBuilder ()
Represents a value for tf.TensorSpec.
.tensorflow.TensorSpecProto tensor_spec_value = 33; public abstrait TupleValue getTupleValue ()
Represents a tuple of `Value`.
.tensorflow.TupleValue tuple_value = 52; public abstrait TupleValueOrBuilder getTupleValueOrBuilder ()
Represents a tuple of `Value`.
.tensorflow.TupleValue tuple_value = 52; public abstrait TypeSpecProto getTypeSpecValue ()
Represents a value for tf.TypeSpec.
.tensorflow.TypeSpecProto type_spec_value = 34; public abstrait TypeSpecProtoOrBuilder getTypeSpecValueOrBuilder ()
Represents a value for tf.TypeSpec.
.tensorflow.TypeSpecProto type_spec_value = 34; public abstrait booléen hasBoundedTensorSpecValue ()
Represents a value for tf.BoundedTensorSpec.
.tensorflow.BoundedTensorSpecProto bounded_tensor_spec_value = 35; public abstrait booléen hasDictValue ()
Represents a dict `Value`.
.tensorflow.DictValue dict_value = 53; public abstrait booléen hasListValue ()
Represents a list of `Value`.
.tensorflow.ListValue list_value = 51; public abstrait booléen hasNamedTupleValue ()
Represents Python's namedtuple.
.tensorflow.NamedTupleValue named_tuple_value = 54; public abstrait booléen hasNoneValue ()
Represents None.
.tensorflow.NoneValue none_value = 1; public abstrait booléen hasTensorShapeValue ()
Represents a TensorShape.
.tensorflow.TensorShapeProto tensor_shape_value = 31; public abstrait booléen hasTensorSpecValue ()
Represents a value for tf.TensorSpec.
.tensorflow.TensorSpecProto tensor_spec_value = 33; public abstrait booléen hasTupleValue ()
Represents a tuple of `Value`.
.tensorflow.TupleValue tuple_value = 52; public abstrait booléen hasTypeSpecValue ()
Represents a value for tf.TypeSpec.
.tensorflow.TypeSpecProto type_spec_value = 34;