パブリック最終クラスStructuredValue
`StructuredValue` represents a dynamically typed value representing various data structures that are inspired by Python data structures typically used in TensorFlow functions as inputs and outputs. For example when saving a Layer there may be a `training` argument. If the user passes a boolean True/False, that switches between two concrete TensorFlow functions. In order to switch between them in the same way after loading the SavedModel, we need to represent "True" and "False". A more advanced example might be a function which takes a list of dictionaries mapping from strings to Tensors. In order to map from user-specified arguments `[{"a": tf.constant(1.)}, {"q": tf.constant(3.)}]` after load to the right saved TensorFlow function, we need to represent the nested structure and the strings, recording that we have a trace for anything matching `[{"a": tf.TensorSpec(None, tf.float32)}, {"q": tf.TensorSpec([], tf.float64)}]` as an example. Likewise functions may return nested structures of Tensors, for example returning a dictionary mapping from strings to Tensors. In order for the loaded function to return the same structure we need to serialize it. This is an ergonomic aid for working with loaded SavedModels, not a promise to serialize all possible function signatures. For example we do not expect to pickle generic Python objects, and ideally we'd stay language-agnostic.Protobuf 型
tensorflow.StructuredValue
ネストされたクラス
クラス | StructuredValue.Builder | `StructuredValue` represents a dynamically typed value representing various data structures that are inspired by Python data structures typically used in TensorFlow functions as inputs and outputs. | |
列挙型 | StructuredValue.KindCase |
定数
パブリックメソッド
ブール値 | 等しい(オブジェクトオブジェクト) |
ブール値 | getBoolValue () Represents a boolean value. |
BoundedTensorSpecProto | getBoundedTensorSpecValue () Represents a value for tf.BoundedTensorSpec. |
BoundedTensorSpecProtoOrBuilder | getBoundedTensorSpecValueOrBuilder () Represents a value for tf.BoundedTensorSpec. |
静的な構造化値 | |
構造化された価値 | |
最終的な静的 com.google.protobuf.Descriptors.Descriptor | |
辞書値 | getDictValue () Represents a dict `Value`. |
DictValueOrBuilder | getDictValueOrBuilder () Represents a dict `Value`. |
ダブル | getFloat64Value () Represents a double-precision floating-point value (a Python `float`). |
長さ | getInt64Value () Represents a signed integer value, limited to 64 bits. |
StructuredValue.KindCase | getKindCase () |
リスト値 | getListValue () Represents a list of `Value`. |
リスト値またはビルダー | getListValueOrBuilder () Represents a list of `Value`. |
名前付きタプル値 | getNamedTupleValue () Represents Python's namedtuple. |
NamedTupleValueOrBuilder | getNamedTupleValueOrBuilder () Represents Python's namedtuple. |
なし値 | getNoneValue () Represents None. |
なし値またはビルダー | getNoneValueOrBuilder () Represents None. |
整数 | |
弦 | getStringValue () Represents a string of Unicode characters stored in a Python `str`. |
com.google.protobuf.ByteString | getStringValueBytes () Represents a string of Unicode characters stored in a Python `str`. |
データ型 | getTensorDtypeValue () Represents an enum value for dtype. |
整数 | getTensorDtypeValueValue () Represents an enum value for dtype. |
テンソル形状プロト | getTensorShapeValue () Represents a TensorShape. |
TensorShapeProtoOrBuilder | getTensorShapeValueOrBuilder () Represents a TensorShape. |
TensorSpecProto | getTensorSpecValue () Represents a value for tf.TensorSpec. |
TensorSpecProtoOrBuilder | getTensorSpecValueOrBuilder () Represents a value for tf.TensorSpec. |
タプル値 | getTupleValue () Represents a tuple of `Value`. |
タプル値またはビルダー | getTupleValueOrBuilder () Represents a tuple of `Value`. |
タイプスペックプロト | getTypeSpecValue () Represents a value for tf.TypeSpec. |
TypeSpecProtoOrBuilder | getTypeSpecValueOrBuilder () Represents a value for tf.TypeSpec. |
最終的な com.google.protobuf.UnknownFieldSet | |
ブール値 | hasBoundedTensorSpecValue () Represents a value for tf.BoundedTensorSpec. |
ブール値 | hasDictValue () Represents a dict `Value`. |
ブール値 | hasListValue () Represents a list of `Value`. |
ブール値 | hasNamedTupleValue () Represents Python's namedtuple. |
ブール値 | hasNoneValue () Represents None. |
ブール値 | hasTensorShapeValue () Represents a TensorShape. |
ブール値 | hasTensorSpecValue () Represents a value for tf.TensorSpec. |
ブール値 | hasTupleValue () Represents a tuple of `Value`. |
ブール値 | hasTypeSpecValue () Represents a value for tf.TypeSpec. |
整数 | ハッシュコード() |
最終ブール値 | |
静的StructuredValue.Builder | newBuilder ( StructuredValueプロトタイプ) |
静的StructuredValue.Builder | newBuilder () |
StructuredValue.Builder | |
静的な構造化値 | parseDelimitedFrom (InputStream 入力) |
静的な構造化値 | parseDelimitedFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
静的な構造化値 | parseFrom (ByteBuffer データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
静的な構造化値 | parseFrom (com.google.protobuf.CodedInputStream 入力) |
静的構造化値 | parseFrom (byte[] データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
静的な構造化値 | parseFrom (ByteBuffer データ) |
静的な構造化値 | parseFrom (com.google.protobuf.CodedInputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
静的な構造化値 | parseFrom (com.google.protobuf.ByteString データ) |
静的な構造化値 | parseFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
静的な構造化値 | parseFrom (com.google.protobuf.ByteString データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
静的 | パーサー() |
StructuredValue.Builder | toビルダー() |
空所 | writeTo (com.google.protobuf.CodedOutputStream 出力) |
継承されたメソッド
定数
パブリック静的最終整数BOOL_VALUE_FIELD_NUMBER
定数値: 14
パブリック静的最終整数BOUNDED_TENSOR_SPEC_VALUE_FIELD_NUMBER
定数値: 35
パブリック静的最終整数DICT_VALUE_FIELD_NUMBER
定数値: 53
パブリック静的最終整数FLOAT64_VALUE_FIELD_NUMBER
定数値: 11
パブリック静的最終整数INT64_VALUE_FIELD_NUMBER
定数値: 12
パブリック静的最終整数LIST_VALUE_FIELD_NUMBER
定数値: 51
パブリック静的最終整数NAMED_TUPLE_VALUE_FIELD_NUMBER
定数値: 54
パブリック静的最終整数NONE_VALUE_FIELD_NUMBER
定数値: 1
パブリック静的最終整数STRING_VALUE_FIELD_NUMBER
定数値: 13
public static Final int TENSOR_DTYPE_VALUE_FIELD_NUMBER
定数値: 32
public static Final int TENSOR_SHAPE_VALUE_FIELD_NUMBER
定数値: 31
public static Final int TENSOR_SPEC_VALUE_FIELD_NUMBER
定数値: 33
パブリック静的最終整数TUPLE_VALUE_FIELD_NUMBER
定数値: 52
パブリック静的最終整数TYPE_SPEC_VALUE_FIELD_NUMBER
定数値: 34
パブリックメソッド
public booleanに等しい(オブジェクト obj)
パブリックブール値getBoolValue ()
Represents a boolean value.
bool bool_value = 14;
public BoundedTensorSpecProto getBoundedTensorSpecValue ()
Represents a value for tf.BoundedTensorSpec.
.tensorflow.BoundedTensorSpecProto bounded_tensor_spec_value = 35;
public BoundedTensorSpecProtoOrBuilder getBoundedTensorSpecValueOrBuilder ()
Represents a value for tf.BoundedTensorSpec.
.tensorflow.BoundedTensorSpecProto bounded_tensor_spec_value = 35;
public static Final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
public DictValueOrBuilder getDictValueOrBuilder ()
Represents a dict `Value`.
.tensorflow.DictValue dict_value = 53;
public double getFloat64Value ()
Represents a double-precision floating-point value (a Python `float`).
double float64_value = 11;
public 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;
public ListValue getListValue ()
Represents a list of `Value`.
.tensorflow.ListValue list_value = 51;
public ListValueOrBuilder getListValueOrBuilder ()
Represents a list of `Value`.
.tensorflow.ListValue list_value = 51;
public NamedTupleValue getNamedTupleValue ()
Represents Python's namedtuple.
.tensorflow.NamedTupleValue named_tuple_value = 54;
public NamedTupleValueOrBuilder getNamedTupleValueOrBuilder ()
Represents Python's namedtuple.
.tensorflow.NamedTupleValue named_tuple_value = 54;
public NoneValueOrBuilder getNoneValueOrBuilder ()
Represents None.
.tensorflow.NoneValue none_value = 1;
公共 getParserForType ()
public int getSerializedSize ()
パブリック String 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;
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 DataType getTensorDtypeValue ()
Represents an enum value for dtype.
.tensorflow.DataType tensor_dtype_value = 32;
public int getTensorDtypeValueValue ()
Represents an enum value for dtype.
.tensorflow.DataType tensor_dtype_value = 32;
public TensorShapeProto getTensorShapeValue ()
Represents a TensorShape.
.tensorflow.TensorShapeProto tensor_shape_value = 31;
public TensorShapeProtoOrBuilder getTensorShapeValueOrBuilder ()
Represents a TensorShape.
.tensorflow.TensorShapeProto tensor_shape_value = 31;
public TensorSpecProto getTensorSpecValue ()
Represents a value for tf.TensorSpec.
.tensorflow.TensorSpecProto tensor_spec_value = 33;
public TensorSpecProtoOrBuilder getTensorSpecValueOrBuilder ()
Represents a value for tf.TensorSpec.
.tensorflow.TensorSpecProto tensor_spec_value = 33;
public TupleValue getTupleValue ()
Represents a tuple of `Value`.
.tensorflow.TupleValue tuple_value = 52;
public TupleValueOrBuilder getTupleValueOrBuilder ()
Represents a tuple of `Value`.
.tensorflow.TupleValue tuple_value = 52;
public TypeSpecProto getTypeSpecValue ()
Represents a value for tf.TypeSpec.
.tensorflow.TypeSpecProto type_spec_value = 34;
public TypeSpecProtoOrBuilder getTypeSpecValueOrBuilder ()
Represents a value for tf.TypeSpec.
.tensorflow.TypeSpecProto type_spec_value = 34;
public Final com.google.protobuf.UnknownFieldSet getUnknownFields ()
public boolean hasBoundedTensorSpecValue ()
Represents a value for tf.BoundedTensorSpec.
.tensorflow.BoundedTensorSpecProto bounded_tensor_spec_value = 35;
public boolean hasDictValue ()
Represents a dict `Value`.
.tensorflow.DictValue dict_value = 53;
public boolean hasListValue ()
Represents a list of `Value`.
.tensorflow.ListValue list_value = 51;
public boolean hasNamedTupleValue ()
Represents Python's namedtuple.
.tensorflow.NamedTupleValue named_tuple_value = 54;
public boolean hasNoneValue ()
Represents None.
.tensorflow.NoneValue none_value = 1;
public boolean hasTensorShapeValue ()
Represents a TensorShape.
.tensorflow.TensorShapeProto tensor_shape_value = 31;
public boolean hasTensorSpecValue ()
Represents a value for tf.TensorSpec.
.tensorflow.TensorSpecProto tensor_spec_value = 33;
public boolean hasTupleValue ()
Represents a tuple of `Value`.
.tensorflow.TupleValue tuple_value = 52;
public boolean hasTypeSpecValue ()
Represents a value for tf.TypeSpec.
.tensorflow.TypeSpecProto type_spec_value = 34;
public int hashCode ()
パブリック最終ブール値isInitialized ()
public static StructuredValue parseDelimitedFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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public static StructuredValue parseFrom (ByteBuffer データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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public static StructuredValue parseFrom (byte[] データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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public static StructuredValue parseFrom (com.google.protobuf.CodedInputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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public static StructuredValue parseFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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public static StructuredValue parseFrom (com.google.protobuf.ByteString データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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パブリック静的 パーサー()
public void writeTo (com.google.protobuf.CodedOutputStream 出力)
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