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 <?>> | |
List< Output <?>> | |
List< Output <?>> | |
List< Output <Long>> | |
List< Output <Long>> | |
List< Output <?>> | |
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>> | |
static ParseSequenceExampleV2.Options |
featureListDenseShapes
(List<
Shape
> featureListDenseShapes)
|
List< Output <?>> | |
List< Output <?>> | |
List< Output <?>> | |
List< Output <?>> | |
List< Output <Long>> | |
List< Output <Long>> | |
List< Output <?>> |
Inherited Methods
Public Methods
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]. |
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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 |
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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 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(). |
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