StructuredValueOrBuilder

antarmuka publik StructuredValueOrBuilder
Subkelas Tidak Langsung yang Diketahui

Metode Publik

boolean abstrak
dapatkanBoolValue () 
 Represents a boolean value.
abstrak BoundedTensorSpecProto
getBoundedTensorSpecValue () 
 Represents a value for tf.BoundedTensorSpec.
abstrak BoundedTensorSpecProtoOrBuilder
getBoundedTensorSpecValueOrBuilder () 
 Represents a value for tf.BoundedTensorSpec.
DictValue abstrak
dapatkanDictValue () 
 Represents a dict `Value`.
abstrak DictValueOrBuilder
dapatkanDictValueOrBuilder () 
 Represents a dict `Value`.
abstrak ganda
dapatkanFloat64Nilai () 
 Represents a double-precision floating-point value (a Python `float`).
abstrak panjang
dapatkanInt64Nilai () 
 Represents a signed integer value, limited to 64 bits.
abstrak StructuredValue.KindCase
dapatkanKindCase ()
Nilai Daftar abstrak
dapatkanNilaiDaftar () 
 Represents a list of `Value`.
ListValueOrBuilder abstrak
dapatkanListValueOrBuilder () 
 Represents a list of `Value`.
abstrak NamedTupleValue
getNamedTupleValue () 
 Represents Python's namedtuple.
abstrak BernamaTupleValueOrBuilder
getNamedTupleValueOrBuilder () 
 Represents Python's namedtuple.
abstrak Tidak AdaNilai
dapatkanNoneValue () 
 Represents None.
abstrak NoneValueOrBuilder
dapatkanNoneValueOrBuilder () 
 Represents None.
Tali abstrak
dapatkanStringValue () 
 Represents a string of Unicode characters stored in a Python `str`.
abstrak com.google.protobuf.ByteString
dapatkanStringValueBytes () 
 Represents a string of Unicode characters stored in a Python `str`.
Tipe Data abstrak
dapatkanTensorDtypeValue () 
 Represents an enum value for dtype.
abstrak ke dalam
dapatkanTensorDtypeValueValue () 
 Represents an enum value for dtype.
TensorShapeProto abstrak
dapatkanTensorShapeValue () 
 Represents a TensorShape.
TensorShapeProtoOrBuilder abstrak
dapatkanTensorShapeValueOrBuilder () 
 Represents a TensorShape.
TensorSpecProto abstrak
dapatkanTensorSpecValue () 
 Represents a value for tf.TensorSpec.
abstrak TensorSpecProtoOrBuilder
dapatkanTensorSpecValueOrBuilder () 
 Represents a value for tf.TensorSpec.
TupleValue abstrak
dapatkanTupleValue () 
 Represents a tuple of `Value`.
abstrak TupleValueOrBuilder
dapatkanTupleValueOrBuilder () 
 Represents a tuple of `Value`.
abstrak TypeSpecProto
getTypeSpecValue () 
 Represents a value for tf.TypeSpec.
abstrak TypeSpecProtoOrBuilder
getTypeSpecValueOrBuilder () 
 Represents a value for tf.TypeSpec.
boolean abstrak
hasBoundedTensorSpecValue () 
 Represents a value for tf.BoundedTensorSpec.
boolean abstrak
hasDictValue () 
 Represents a dict `Value`.
boolean abstrak
hasListValue () 
 Represents a list of `Value`.
boolean abstrak
hasNamedTupleValue () 
 Represents Python's namedtuple.
boolean abstrak
memilikiNoneValue () 
 Represents None.
boolean abstrak
hasTensorShapeValue () 
 Represents a TensorShape.
boolean abstrak
hasTensorSpecValue () 
 Represents a value for tf.TensorSpec.
boolean abstrak
hasTupleValue () 
 Represents a tuple of `Value`.
boolean abstrak
hasTypeSpecValue () 
 Represents a value for tf.TypeSpec.

Metode Publik

boolean abstrak publik getBoolValue () 

 Represents a boolean value.
bool bool_value = 14;

abstrak publik BoundedTensorSpecProto getBoundedTensorSpecValue () 

 Represents a value for tf.BoundedTensorSpec.
.tensorflow.BoundedTensorSpecProto bounded_tensor_spec_value = 35;

abstrak publik BoundedTensorSpecProtoOrBuilder getBoundedTensorSpecValueOrBuilder () 

 Represents a value for tf.BoundedTensorSpec.
.tensorflow.BoundedTensorSpecProto bounded_tensor_spec_value = 35;

abstrak publik DictValue getDictValue () 

 Represents a dict `Value`.
.tensorflow.DictValue dict_value = 53;

abstrak publik DictValueOrBuilder getDictValueOrBuilder () 

 Represents a dict `Value`.
.tensorflow.DictValue dict_value = 53;

abstrak publik getFloat64Value ganda () 

 Represents a double-precision floating-point value (a Python `float`).
double float64_value = 11;

abstrak publik getInt64Value panjang () 

 Represents a signed integer value, limited to 64 bits.
 Larger values from Python's arbitrary-precision integers are unsupported.
sint64 int64_value = 12;

abstrak publik StructuredValue.KindCase getKindCase ()

ListValue abstrak publik getListValue () 

 Represents a list of `Value`.
.tensorflow.ListValue list_value = 51;

abstrak publik ListValueOrBuilder getListValueOrBuilder () 

 Represents a list of `Value`.
.tensorflow.ListValue list_value = 51;

abstrak publik NamedTupleValue getNamedTupleValue () 

 Represents Python's namedtuple.
.tensorflow.NamedTupleValue named_tuple_value = 54;

abstrak publik NamedTupleValueOrBuilder getNamedTupleValueOrBuilder () 

 Represents Python's namedtuple.
.tensorflow.NamedTupleValue named_tuple_value = 54;

abstrak publik NoneValue getNoneValue () 

 Represents None.
.tensorflow.NoneValue none_value = 1;

abstrak publik NoneValueOrBuilder getNoneValueOrBuilder () 

 Represents None.
.tensorflow.NoneValue none_value = 1;

String abstrak publik 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;

abstrak publik 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;

DataType abstrak publik getTensorDtypeValue () 

 Represents an enum value for dtype.
.tensorflow.DataType tensor_dtype_value = 32;

abstrak publik int getTensorDtypeValueValue () 

 Represents an enum value for dtype.
.tensorflow.DataType tensor_dtype_value = 32;

abstrak publik TensorShapeProto getTensorShapeValue () 

 Represents a TensorShape.
.tensorflow.TensorShapeProto tensor_shape_value = 31;

abstrak publik TensorShapeProtoOrBuilder getTensorShapeValueOrBuilder () 

 Represents a TensorShape.
.tensorflow.TensorShapeProto tensor_shape_value = 31;

abstrak publik TensorSpecProto getTensorSpecValue () 

 Represents a value for tf.TensorSpec.
.tensorflow.TensorSpecProto tensor_spec_value = 33;

abstrak publik TensorSpecProtoOrBuilder getTensorSpecValueOrBuilder () 

 Represents a value for tf.TensorSpec.
.tensorflow.TensorSpecProto tensor_spec_value = 33;

abstrak publik TupleValue getTupleValue () 

 Represents a tuple of `Value`.
.tensorflow.TupleValue tuple_value = 52;

abstrak publik TupleValueOrBuilder getTupleValueOrBuilder () 

 Represents a tuple of `Value`.
.tensorflow.TupleValue tuple_value = 52;

abstrak publik TypeSpecProto getTypeSpecValue () 

 Represents a value for tf.TypeSpec.
.tensorflow.TypeSpecProto type_spec_value = 34;

abstrak publik TypeSpecProtoOrBuilder getTypeSpecValueOrBuilder () 

 Represents a value for tf.TypeSpec.
.tensorflow.TypeSpecProto type_spec_value = 34;

boolean abstrak publik hasBoundedTensorSpecValue () 

 Represents a value for tf.BoundedTensorSpec.
.tensorflow.BoundedTensorSpecProto bounded_tensor_spec_value = 35;

boolean abstrak publik hasDictValue () 

 Represents a dict `Value`.
.tensorflow.DictValue dict_value = 53;

boolean abstrak publik hasListValue () 

 Represents a list of `Value`.
.tensorflow.ListValue list_value = 51;

boolean abstrak publik hasNamedTupleValue () 

 Represents Python's namedtuple.
.tensorflow.NamedTupleValue named_tuple_value = 54;

boolean abstrak publik hasNoneValue () 

 Represents None.
.tensorflow.NoneValue none_value = 1;

boolean abstrak publik hasTensorShapeValue () 

 Represents a TensorShape.
.tensorflow.TensorShapeProto tensor_shape_value = 31;

boolean abstrak publik hasTensorSpecValue () 

 Represents a value for tf.TensorSpec.
.tensorflow.TensorSpecProto tensor_spec_value = 33;

boolean abstrak publik hasTupleValue () 

 Represents a tuple of `Value`.
.tensorflow.TupleValue tuple_value = 52;

boolean abstrak publik hasTypeSpecValue () 

 Represents a value for tf.TypeSpec.
.tensorflow.TypeSpecProto type_spec_value = 34;