ParseSequenceExampleV2

public final class ParseSequenceExampleV2

Transforms a vector of tf.io.SequenceExample protos (as strings) into typed tensors.

Nested Classes

class

ParseSequenceExampleV2.Options

Optional attributes for ParseSequenceExampleV2

Public Methods

static ParseSequenceExampleV2.Options	NcontextSparse(Long NcontextSparse)
static ParseSequenceExampleV2.Options	NfeatureListDense(Long NfeatureListDense)
static ParseSequenceExampleV2.Options	NfeatureListSparse(Long NfeatureListSparse)
static ParseSequenceExampleV2.Options	contextDenseShapes(List<Shape> contextDenseShapes)
List<Output<?>>	contextDenseValues()
List<Output<?>>	contextRaggedRowSplits()
List<Output<?>>	contextRaggedValues()
List<Output<Long>>	contextSparseIndices()
List<Output<Long>>	contextSparseShapes()
List<Output<?>>	contextSparseValues()
static ParseSequenceExampleV2	create(Scope scope, Operand<String> serialized, Operand<String> debugName, Operand<String> contextSparseKeys, Operand<String> contextDenseKeys, Operand<String> contextRaggedKeys, Operand<String> featureListSparseKeys, Operand<String> featureListDenseKeys, Operand<String> featureListRaggedKeys, Operand<Boolean> featureListDenseMissingAssumedEmpty, Iterable<Operand<?>> contextDenseDefaults, List<Class<?>> contextSparseTypes, List<Class<?>> contextRaggedValueTypes, List<Class<?>> contextRaggedSplitTypes, List<Class<?>> featureListDenseTypes, List<Class<?>> featureListSparseTypes, List<Class<?>> featureListRaggedValueTypes, List<Class<?>> featureListRaggedSplitTypes, Options... options) Factory method to create a class wrapping a new ParseSequenceExampleV2 operation.
List<Output<Long>>	featureListDenseLengths()
static ParseSequenceExampleV2.Options	featureListDenseShapes(List<Shape> featureListDenseShapes)
List<Output<?>>	featureListDenseValues()
List<Output<?>>	featureListRaggedInnerSplits()
List<Output<?>>	featureListRaggedOuterSplits()
List<Output<?>>	featureListRaggedValues()
List<Output<Long>>	featureListSparseIndices()
List<Output<Long>>	featureListSparseShapes()
List<Output<?>>	featureListSparseValues()

Inherited Methods

From class org.tensorflow.op.PrimitiveOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Returns the underlying Operation
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

Public Methods

public static ParseSequenceExampleV2.Options NcontextSparse (Long NcontextSparse)

public static ParseSequenceExampleV2.Options NfeatureListDense (Long NfeatureListDense)

public static ParseSequenceExampleV2.Options NfeatureListSparse (Long NfeatureListSparse)

public static ParseSequenceExampleV2.Options contextDenseShapes (List<Shape> contextDenseShapes)

Parameters

contextDenseShapes	A list of Ncontext_dense shapes; the shapes of data in each context Feature given in context_dense_keys. The number of elements in the Feature corresponding to context_dense_key[j] must always equal context_dense_shapes[j].NumEntries(). The shape of context_dense_values[j] will match context_dense_shapes[j].

public List<Output<?>> contextDenseValues ()

public List<Output<?>> contextRaggedRowSplits ()

public List<Output<?>> contextRaggedValues ()

public List<Output<Long>> contextSparseIndices ()

public List<Output<Long>> contextSparseShapes ()

public List<Output<?>> contextSparseValues ()

public static ParseSequenceExampleV2 create (Scope scope, Operand<String> serialized, Operand<String> debugName, Operand<String> contextSparseKeys, Operand<String> contextDenseKeys, Operand<String> contextRaggedKeys, Operand<String> featureListSparseKeys, Operand<String> featureListDenseKeys, Operand<String> featureListRaggedKeys, Operand<Boolean> featureListDenseMissingAssumedEmpty, Iterable<Operand<?>> contextDenseDefaults, List<Class<?>> contextSparseTypes, List<Class<?>> contextRaggedValueTypes, List<Class<?>> contextRaggedSplitTypes, List<Class<?>> featureListDenseTypes, List<Class<?>> featureListSparseTypes, List<Class<?>> featureListRaggedValueTypes, List<Class<?>> featureListRaggedSplitTypes, Options... options)

Factory method to create a class wrapping a new ParseSequenceExampleV2 operation.

Parameters

scope	current scope
serialized	A scalar or vector containing binary serialized SequenceExample protos.
debugName	A scalar or vector containing the names of the serialized protos. May contain, for example, table key (descriptive) name for the corresponding serialized proto. This is purely useful for debugging purposes, and the presence of values here has no effect on the output. May also be an empty vector if no name is available.
contextSparseKeys	The keys expected in the Examples' features associated with context_sparse values.
contextDenseKeys	The keys expected in the SequenceExamples' context features associated with dense values.
contextRaggedKeys	The keys expected in the Examples' features associated with context_ragged values.
featureListSparseKeys	The keys expected in the FeatureLists associated with sparse values.
featureListDenseKeys	The keys expected in the SequenceExamples' feature_lists associated with lists of dense values.
featureListRaggedKeys	The keys expected in the FeatureLists associated with ragged values.
featureListDenseMissingAssumedEmpty	A vector corresponding 1:1 with feature_list_dense_keys, indicating which features may be missing from the SequenceExamples. If the associated FeatureList is missing, it is treated as empty.
contextDenseDefaults	A list of Ncontext_dense Tensors (some may be empty). context_dense_defaults[j] provides default values when the SequenceExample's context map lacks context_dense_key[j]. If an empty Tensor is provided for context_dense_defaults[j], then the Feature context_dense_keys[j] is required. The input type is inferred from context_dense_defaults[j], even when it's empty. If context_dense_defaults[j] is not empty, its shape must match context_dense_shapes[j].
contextSparseTypes	A list of Ncontext_sparse types; the data types of data in each context Feature given in context_sparse_keys. Currently the ParseSingleSequenceExample supports DT_FLOAT (FloatList), DT_INT64 (Int64List), and DT_STRING (BytesList).
contextRaggedValueTypes	RaggedTensor.value dtypes for the ragged context features.
contextRaggedSplitTypes	RaggedTensor.row_split dtypes for the ragged context features.
featureListSparseTypes	A list of Nfeature_list_sparse types; the data types of data in each FeatureList given in feature_list_sparse_keys. Currently the ParseSingleSequenceExample supports DT_FLOAT (FloatList), DT_INT64 (Int64List), and DT_STRING (BytesList).
featureListRaggedValueTypes	RaggedTensor.value dtypes for the ragged FeatureList features.
featureListRaggedSplitTypes	RaggedTensor.row_split dtypes for the ragged FeatureList features.
options	carries optional attributes values

Returns

• a new instance of ParseSequenceExampleV2

public List<Output<Long>> featureListDenseLengths ()

public static ParseSequenceExampleV2.Options featureListDenseShapes (List<Shape> featureListDenseShapes)

Parameters

featureListDenseShapes	A list of Nfeature_list_dense shapes; the shapes of data in each FeatureList given in feature_list_dense_keys. The shape of each Feature in the FeatureList corresponding to feature_list_dense_key[j] must always equal feature_list_dense_shapes[j].NumEntries().

public List<Output<?>> featureListDenseValues ()

public List<Output<?>> featureListRaggedInnerSplits ()

public List<Output<?>> featureListRaggedOuterSplits ()

public List<Output<?>> featureListRaggedValues ()

public List<Output<Long>> featureListSparseIndices ()

public List<Output<Long>> featureListSparseShapes ()

public List<Output<?>> featureListSparseValues ()