StructuredValue

public final class 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 type tensorflow.StructuredValue

Nested Classes

class 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. 
enum StructuredValue.KindCase

Constants

int BOOL_VALUE_FIELD_NUMBER
int BOUNDED_TENSOR_SPEC_VALUE_FIELD_NUMBER
int DICT_VALUE_FIELD_NUMBER
int FLOAT64_VALUE_FIELD_NUMBER
int INT64_VALUE_FIELD_NUMBER
int LIST_VALUE_FIELD_NUMBER
int NAMED_TUPLE_VALUE_FIELD_NUMBER
int NONE_VALUE_FIELD_NUMBER
int STRING_VALUE_FIELD_NUMBER
int TENSOR_DTYPE_VALUE_FIELD_NUMBER
int TENSOR_SHAPE_VALUE_FIELD_NUMBER
int TENSOR_SPEC_VALUE_FIELD_NUMBER
int TUPLE_VALUE_FIELD_NUMBER
int TYPE_SPEC_VALUE_FIELD_NUMBER

Public Methods

boolean
equals (Object obj)
boolean
getBoolValue ()
 Represents a boolean value.
BoundedTensorSpecProto
getBoundedTensorSpecValue ()
 Represents a value for tf.BoundedTensorSpec.
BoundedTensorSpecProtoOrBuilder
getBoundedTensorSpecValueOrBuilder ()
 Represents a value for tf.BoundedTensorSpec.
static StructuredValue
StructuredValue
final static com.google.protobuf.Descriptors.Descriptor
DictValue
getDictValue ()
 Represents a dict `Value`.
DictValueOrBuilder
getDictValueOrBuilder ()
 Represents a dict `Value`.
double
getFloat64Value ()
 Represents a double-precision floating-point value (a Python `float`).
long
getInt64Value ()
 Represents a signed integer value, limited to 64 bits.
StructuredValue.KindCase
ListValue
getListValue ()
 Represents a list of `Value`.
ListValueOrBuilder
getListValueOrBuilder ()
 Represents a list of `Value`.
NamedTupleValue
getNamedTupleValue ()
 Represents Python's namedtuple.
NamedTupleValueOrBuilder
getNamedTupleValueOrBuilder ()
 Represents Python's namedtuple.
NoneValue
getNoneValue ()
 Represents None.
NoneValueOrBuilder
getNoneValueOrBuilder ()
 Represents None.
int
String
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`.
DataType
getTensorDtypeValue ()
 Represents an enum value for dtype.
int
getTensorDtypeValueValue ()
 Represents an enum value for dtype.
TensorShapeProto
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.
TupleValue
getTupleValue ()
 Represents a tuple of `Value`.
TupleValueOrBuilder
getTupleValueOrBuilder ()
 Represents a tuple of `Value`.
TypeSpecProto
getTypeSpecValue ()
 Represents a value for tf.TypeSpec.
TypeSpecProtoOrBuilder
getTypeSpecValueOrBuilder ()
 Represents a value for tf.TypeSpec.
final com.google.protobuf.UnknownFieldSet
boolean
hasBoundedTensorSpecValue ()
 Represents a value for tf.BoundedTensorSpec.
boolean
hasDictValue ()
 Represents a dict `Value`.
boolean
hasListValue ()
 Represents a list of `Value`.
boolean
hasNamedTupleValue ()
 Represents Python's namedtuple.
boolean
hasNoneValue ()
 Represents None.
boolean
hasTensorShapeValue ()
 Represents a TensorShape.
boolean
hasTensorSpecValue ()
 Represents a value for tf.TensorSpec.
boolean
hasTupleValue ()
 Represents a tuple of `Value`.
boolean
hasTypeSpecValue ()
 Represents a value for tf.TypeSpec.
int
final boolean
static StructuredValue.Builder
static StructuredValue.Builder
StructuredValue.Builder
static StructuredValue
parseDelimitedFrom (InputStream input)
static StructuredValue
parseDelimitedFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static StructuredValue
parseFrom (ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static StructuredValue
parseFrom (com.google.protobuf.CodedInputStream input)
static StructuredValue
parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static StructuredValue
parseFrom (ByteBuffer data)
static StructuredValue
parseFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static StructuredValue
parseFrom (com.google.protobuf.ByteString data)
static StructuredValue
parseFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static StructuredValue
parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static
StructuredValue.Builder
void
writeTo (com.google.protobuf.CodedOutputStream output)

Inherited Methods