public static final 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. 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
Public Methods
StructuredValue.Builder |
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
|
StructuredValue |
build()
|
StructuredValue | |
StructuredValue.Builder |
clear()
|
StructuredValue.Builder |
clearBoolValue()
Represents a boolean value. |
StructuredValue.Builder |
clearBoundedTensorSpecValue()
Represents a value for tf.BoundedTensorSpec. |
StructuredValue.Builder |
clearDictValue()
Represents a dict `Value`. |
StructuredValue.Builder |
clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
|
StructuredValue.Builder |
clearFloat64Value()
Represents a double-precision floating-point value (a Python `float`). |
StructuredValue.Builder |
clearInt64Value()
Represents a signed integer value, limited to 64 bits. |
StructuredValue.Builder | |
StructuredValue.Builder |
clearListValue()
Represents a list of `Value`. |
StructuredValue.Builder |
clearNamedTupleValue()
Represents Python's namedtuple. |
StructuredValue.Builder |
clearNoneValue()
Represents None. |
StructuredValue.Builder |
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
|
StructuredValue.Builder |
clearStringValue()
Represents a string of Unicode characters stored in a Python `str`. |
StructuredValue.Builder |
clearTensorDtypeValue()
Represents an enum value for dtype. |
StructuredValue.Builder |
clearTensorShapeValue()
Represents a TensorShape. |
StructuredValue.Builder |
clearTensorSpecValue()
Represents a value for tf.TensorSpec. |
StructuredValue.Builder |
clearTupleValue()
Represents a tuple of `Value`. |
StructuredValue.Builder |
clearTypeSpecValue()
Represents a value for tf.TypeSpec. |
StructuredValue.Builder |
clone()
|
boolean |
getBoolValue()
Represents a boolean value. |
BoundedTensorSpecProto |
getBoundedTensorSpecValue()
Represents a value for tf.BoundedTensorSpec. |
BoundedTensorSpecProto.Builder |
getBoundedTensorSpecValueBuilder()
Represents a value for tf.BoundedTensorSpec. |
BoundedTensorSpecProtoOrBuilder |
getBoundedTensorSpecValueOrBuilder()
Represents a value for tf.BoundedTensorSpec. |
StructuredValue | |
final static com.google.protobuf.Descriptors.Descriptor | |
com.google.protobuf.Descriptors.Descriptor | |
DictValue |
getDictValue()
Represents a dict `Value`. |
DictValue.Builder |
getDictValueBuilder()
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`. |
ListValue.Builder |
getListValueBuilder()
Represents a list of `Value`. |
ListValueOrBuilder |
getListValueOrBuilder()
Represents a list of `Value`. |
NamedTupleValue |
getNamedTupleValue()
Represents Python's namedtuple. |
NamedTupleValue.Builder |
getNamedTupleValueBuilder()
Represents Python's namedtuple. |
NamedTupleValueOrBuilder |
getNamedTupleValueOrBuilder()
Represents Python's namedtuple. |
NoneValue |
getNoneValue()
Represents None. |
NoneValue.Builder |
getNoneValueBuilder()
Represents None. |
NoneValueOrBuilder |
getNoneValueOrBuilder()
Represents None. |
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. |
TensorShapeProto.Builder |
getTensorShapeValueBuilder()
Represents a TensorShape. |
TensorShapeProtoOrBuilder |
getTensorShapeValueOrBuilder()
Represents a TensorShape. |
TensorSpecProto |
getTensorSpecValue()
Represents a value for tf.TensorSpec. |
TensorSpecProto.Builder |
getTensorSpecValueBuilder()
Represents a value for tf.TensorSpec. |
TensorSpecProtoOrBuilder |
getTensorSpecValueOrBuilder()
Represents a value for tf.TensorSpec. |
TupleValue |
getTupleValue()
Represents a tuple of `Value`. |
TupleValue.Builder |
getTupleValueBuilder()
Represents a tuple of `Value`. |
TupleValueOrBuilder |
getTupleValueOrBuilder()
Represents a tuple of `Value`. |
TypeSpecProto |
getTypeSpecValue()
Represents a value for tf.TypeSpec. |
TypeSpecProto.Builder |
getTypeSpecValueBuilder()
Represents a value for tf.TypeSpec. |
TypeSpecProtoOrBuilder |
getTypeSpecValueOrBuilder()
Represents a value for tf.TypeSpec. |
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. |
final boolean | |
StructuredValue.Builder |
mergeBoundedTensorSpecValue(BoundedTensorSpecProto value)
Represents a value for tf.BoundedTensorSpec. |
StructuredValue.Builder | |
StructuredValue.Builder |
mergeFrom(com.google.protobuf.Message other)
|
StructuredValue.Builder |
mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
|
StructuredValue.Builder | |
StructuredValue.Builder | |
StructuredValue.Builder | |
StructuredValue.Builder | |
StructuredValue.Builder | |
StructuredValue.Builder | |
StructuredValue.Builder | |
final StructuredValue.Builder |
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
|
StructuredValue.Builder |
setBoolValue(boolean value)
Represents a boolean value. |
StructuredValue.Builder |
setBoundedTensorSpecValue(BoundedTensorSpecProto value)
Represents a value for tf.BoundedTensorSpec. |
StructuredValue.Builder |
setBoundedTensorSpecValue(BoundedTensorSpecProto.Builder builderForValue)
Represents a value for tf.BoundedTensorSpec. |
StructuredValue.Builder | |
StructuredValue.Builder | |
StructuredValue.Builder |
setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
|
StructuredValue.Builder |
setFloat64Value(double value)
Represents a double-precision floating-point value (a Python `float`). |
StructuredValue.Builder |
setInt64Value(long value)
Represents a signed integer value, limited to 64 bits. |
StructuredValue.Builder | |
StructuredValue.Builder | |
StructuredValue.Builder | |
StructuredValue.Builder | |
StructuredValue.Builder | |
StructuredValue.Builder | |
StructuredValue.Builder |
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
|
StructuredValue.Builder |
setStringValue(String value)
Represents a string of Unicode characters stored in a Python `str`. |
StructuredValue.Builder |
setStringValueBytes(com.google.protobuf.ByteString value)
Represents a string of Unicode characters stored in a Python `str`. |
StructuredValue.Builder | |
StructuredValue.Builder |
setTensorDtypeValueValue(int value)
Represents an enum value for dtype. |
StructuredValue.Builder | |
StructuredValue.Builder | |
StructuredValue.Builder | |
StructuredValue.Builder | |
StructuredValue.Builder | |
StructuredValue.Builder | |
StructuredValue.Builder | |
StructuredValue.Builder | |
final StructuredValue.Builder |
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
|
Inherited Methods
Public Methods
public StructuredValue.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
public StructuredValue.Builder clearBoundedTensorSpecValue ()
Represents a value for tf.BoundedTensorSpec.
.tensorflow.BoundedTensorSpecProto bounded_tensor_spec_value = 35;
public StructuredValue.Builder clearDictValue ()
Represents a dict `Value`.
.tensorflow.DictValue dict_value = 53;
public StructuredValue.Builder clearFloat64Value ()
Represents a double-precision floating-point value (a Python `float`).
double float64_value = 11;
public StructuredValue.Builder clearInt64Value ()
Represents a signed integer value, limited to 64 bits. Larger values from Python's arbitrary-precision integers are unsupported.
sint64 int64_value = 12;
public StructuredValue.Builder clearListValue ()
Represents a list of `Value`.
.tensorflow.ListValue list_value = 51;
public StructuredValue.Builder clearNamedTupleValue ()
Represents Python's namedtuple.
.tensorflow.NamedTupleValue named_tuple_value = 54;
public StructuredValue.Builder clearNoneValue ()
Represents None.
.tensorflow.NoneValue none_value = 1;
public StructuredValue.Builder clearStringValue ()
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 StructuredValue.Builder clearTensorDtypeValue ()
Represents an enum value for dtype.
.tensorflow.DataType tensor_dtype_value = 32;
public StructuredValue.Builder clearTensorShapeValue ()
Represents a TensorShape.
.tensorflow.TensorShapeProto tensor_shape_value = 31;
public StructuredValue.Builder clearTensorSpecValue ()
Represents a value for tf.TensorSpec.
.tensorflow.TensorSpecProto tensor_spec_value = 33;
public StructuredValue.Builder clearTupleValue ()
Represents a tuple of `Value`.
.tensorflow.TupleValue tuple_value = 52;
public StructuredValue.Builder clearTypeSpecValue ()
Represents a value for tf.TypeSpec.
.tensorflow.TypeSpecProto type_spec_value = 34;
public boolean 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 BoundedTensorSpecProto.Builder getBoundedTensorSpecValueBuilder ()
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 com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()
public DictValue.Builder getDictValueBuilder ()
Represents a dict `Value`.
.tensorflow.DictValue dict_value = 53;
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 ListValue.Builder getListValueBuilder ()
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 NamedTupleValue.Builder getNamedTupleValueBuilder ()
Represents Python's namedtuple.
.tensorflow.NamedTupleValue named_tuple_value = 54;
public NamedTupleValueOrBuilder getNamedTupleValueOrBuilder ()
Represents Python's namedtuple.
.tensorflow.NamedTupleValue named_tuple_value = 54;
public NoneValue.Builder getNoneValueBuilder ()
Represents None.
.tensorflow.NoneValue none_value = 1;
public NoneValueOrBuilder getNoneValueOrBuilder ()
Represents None.
.tensorflow.NoneValue none_value = 1;
public 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 TensorShapeProto.Builder getTensorShapeValueBuilder ()
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 TensorSpecProto.Builder getTensorSpecValueBuilder ()
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 TupleValue.Builder getTupleValueBuilder ()
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 TypeSpecProto.Builder getTypeSpecValueBuilder ()
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 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 final boolean isInitialized ()
public StructuredValue.Builder mergeBoundedTensorSpecValue (BoundedTensorSpecProto value)
Represents a value for tf.BoundedTensorSpec.
.tensorflow.BoundedTensorSpecProto bounded_tensor_spec_value = 35;
public StructuredValue.Builder mergeDictValue (DictValue value)
Represents a dict `Value`.
.tensorflow.DictValue dict_value = 53;
public StructuredValue.Builder mergeFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Throws
IOException |
---|
public StructuredValue.Builder mergeListValue (ListValue value)
Represents a list of `Value`.
.tensorflow.ListValue list_value = 51;
public StructuredValue.Builder mergeNamedTupleValue (NamedTupleValue value)
Represents Python's namedtuple.
.tensorflow.NamedTupleValue named_tuple_value = 54;
public StructuredValue.Builder mergeNoneValue (NoneValue value)
Represents None.
.tensorflow.NoneValue none_value = 1;
public StructuredValue.Builder mergeTensorShapeValue (TensorShapeProto value)
Represents a TensorShape.
.tensorflow.TensorShapeProto tensor_shape_value = 31;
public StructuredValue.Builder mergeTensorSpecValue (TensorSpecProto value)
Represents a value for tf.TensorSpec.
.tensorflow.TensorSpecProto tensor_spec_value = 33;
public StructuredValue.Builder mergeTupleValue (TupleValue value)
Represents a tuple of `Value`.
.tensorflow.TupleValue tuple_value = 52;
public StructuredValue.Builder mergeTypeSpecValue (TypeSpecProto value)
Represents a value for tf.TypeSpec.
.tensorflow.TypeSpecProto type_spec_value = 34;
public final StructuredValue.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
public StructuredValue.Builder setBoolValue (boolean value)
Represents a boolean value.
bool bool_value = 14;
public StructuredValue.Builder setBoundedTensorSpecValue (BoundedTensorSpecProto value)
Represents a value for tf.BoundedTensorSpec.
.tensorflow.BoundedTensorSpecProto bounded_tensor_spec_value = 35;
public StructuredValue.Builder setBoundedTensorSpecValue (BoundedTensorSpecProto.Builder builderForValue)
Represents a value for tf.BoundedTensorSpec.
.tensorflow.BoundedTensorSpecProto bounded_tensor_spec_value = 35;
public StructuredValue.Builder setDictValue (DictValue.Builder builderForValue)
Represents a dict `Value`.
.tensorflow.DictValue dict_value = 53;
public StructuredValue.Builder setDictValue (DictValue value)
Represents a dict `Value`.
.tensorflow.DictValue dict_value = 53;
public StructuredValue.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
public StructuredValue.Builder setFloat64Value (double value)
Represents a double-precision floating-point value (a Python `float`).
double float64_value = 11;
public StructuredValue.Builder setInt64Value (long value)
Represents a signed integer value, limited to 64 bits. Larger values from Python's arbitrary-precision integers are unsupported.
sint64 int64_value = 12;
public StructuredValue.Builder setListValue (ListValue.Builder builderForValue)
Represents a list of `Value`.
.tensorflow.ListValue list_value = 51;
public StructuredValue.Builder setListValue (ListValue value)
Represents a list of `Value`.
.tensorflow.ListValue list_value = 51;
public StructuredValue.Builder setNamedTupleValue (NamedTupleValue.Builder builderForValue)
Represents Python's namedtuple.
.tensorflow.NamedTupleValue named_tuple_value = 54;
public StructuredValue.Builder setNamedTupleValue (NamedTupleValue value)
Represents Python's namedtuple.
.tensorflow.NamedTupleValue named_tuple_value = 54;
public StructuredValue.Builder setNoneValue (NoneValue.Builder builderForValue)
Represents None.
.tensorflow.NoneValue none_value = 1;
public StructuredValue.Builder setNoneValue (NoneValue value)
Represents None.
.tensorflow.NoneValue none_value = 1;
public StructuredValue.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
public StructuredValue.Builder setStringValue (String value)
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 StructuredValue.Builder setStringValueBytes (com.google.protobuf.ByteString value)
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 StructuredValue.Builder setTensorDtypeValue (DataType value)
Represents an enum value for dtype.
.tensorflow.DataType tensor_dtype_value = 32;
public StructuredValue.Builder setTensorDtypeValueValue (int value)
Represents an enum value for dtype.
.tensorflow.DataType tensor_dtype_value = 32;
public StructuredValue.Builder setTensorShapeValue (TensorShapeProto.Builder builderForValue)
Represents a TensorShape.
.tensorflow.TensorShapeProto tensor_shape_value = 31;
public StructuredValue.Builder setTensorShapeValue (TensorShapeProto value)
Represents a TensorShape.
.tensorflow.TensorShapeProto tensor_shape_value = 31;
public StructuredValue.Builder setTensorSpecValue (TensorSpecProto.Builder builderForValue)
Represents a value for tf.TensorSpec.
.tensorflow.TensorSpecProto tensor_spec_value = 33;
public StructuredValue.Builder setTensorSpecValue (TensorSpecProto value)
Represents a value for tf.TensorSpec.
.tensorflow.TensorSpecProto tensor_spec_value = 33;
public StructuredValue.Builder setTupleValue (TupleValue value)
Represents a tuple of `Value`.
.tensorflow.TupleValue tuple_value = 52;
public StructuredValue.Builder setTupleValue (TupleValue.Builder builderForValue)
Represents a tuple of `Value`.
.tensorflow.TupleValue tuple_value = 52;
public StructuredValue.Builder setTypeSpecValue (TypeSpecProto.Builder builderForValue)
Represents a value for tf.TypeSpec.
.tensorflow.TypeSpecProto type_spec_value = 34;
public StructuredValue.Builder setTypeSpecValue (TypeSpecProto value)
Represents a value for tf.TypeSpec.
.tensorflow.TypeSpecProto type_spec_value = 34;