tensorflow::
ops::
ParseSequenceExampleV2
#include <parsing_ops.h>
Transforms a vector of tf.io.SequenceExample protos (as strings) into typed tensors.
Summary
Args:
- scope: A Scope object
- serialized: A scalar or vector containing binary serialized SequenceExample protos.
- debug_name: 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.
- context_sparse_keys: The keys expected in the Examples' features associated with context_sparse values.
- context_dense_keys: The keys expected in the SequenceExamples' context features associated with dense values.
- context_ragged_keys: The keys expected in the Examples' features associated with context_ragged values.
- feature_list_sparse_keys: The keys expected in the FeatureLists associated with sparse values.
- feature_list_dense_keys: The keys expected in the SequenceExamples' feature_lists associated with lists of dense values.
- feature_list_ragged_keys: The keys expected in the FeatureLists associated with ragged values.
- feature_list_dense_missing_assumed_empty: 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.
- context_dense_defaults: 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].
Optional attributes (see
Attrs
):
- context_sparse_types: 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).
- context_ragged_value_types: RaggedTensor.value dtypes for the ragged context features.
- context_ragged_split_types: RaggedTensor.row_split dtypes for the ragged context features.
- context_dense_shapes: 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].
- feature_list_sparse_types: 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).
- feature_list_ragged_value_types: RaggedTensor.value dtypes for the ragged FeatureList features.
- feature_list_ragged_split_types: RaggedTensor.row_split dtypes for the ragged FeatureList features.
- feature_list_dense_shapes: 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().
Returns:
-
OutputList
context_sparse_indices -
OutputList
context_sparse_values -
OutputList
context_sparse_shapes -
OutputList
context_dense_values -
OutputList
context_ragged_values -
OutputList
context_ragged_row_splits -
OutputList
feature_list_sparse_indices -
OutputList
feature_list_sparse_values -
OutputList
feature_list_sparse_shapes -
OutputList
feature_list_dense_values -
OutputList
feature_list_dense_lengths -
OutputList
feature_list_ragged_values -
OutputList
feature_list_ragged_outer_splits -
OutputList
feature_list_ragged_inner_splits
Constructors and Destructors |
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ParseSequenceExampleV2
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
serialized, ::
tensorflow::Input
debug_name, ::
tensorflow::Input
context_sparse_keys, ::
tensorflow::Input
context_dense_keys, ::
tensorflow::Input
context_ragged_keys, ::
tensorflow::Input
feature_list_sparse_keys, ::
tensorflow::Input
feature_list_dense_keys, ::
tensorflow::Input
feature_list_ragged_keys, ::
tensorflow::Input
feature_list_dense_missing_assumed_empty, ::
tensorflow::InputList
context_dense_defaults)
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ParseSequenceExampleV2
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
serialized, ::
tensorflow::Input
debug_name, ::
tensorflow::Input
context_sparse_keys, ::
tensorflow::Input
context_dense_keys, ::
tensorflow::Input
context_ragged_keys, ::
tensorflow::Input
feature_list_sparse_keys, ::
tensorflow::Input
feature_list_dense_keys, ::
tensorflow::Input
feature_list_ragged_keys, ::
tensorflow::Input
feature_list_dense_missing_assumed_empty, ::
tensorflow::InputList
context_dense_defaults, const
ParseSequenceExampleV2::Attrs
& attrs)
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Public static functions |
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ContextDenseShapes
(const gtl::ArraySlice< PartialTensorShape > & x)
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ContextRaggedSplitTypes
(const DataTypeSlice & x)
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ContextRaggedValueTypes
(const DataTypeSlice & x)
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ContextSparseTypes
(const DataTypeSlice & x)
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FeatureListDenseShapes
(const gtl::ArraySlice< PartialTensorShape > & x)
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FeatureListDenseTypes
(const DataTypeSlice & x)
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FeatureListRaggedSplitTypes
(const DataTypeSlice & x)
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FeatureListRaggedValueTypes
(const DataTypeSlice & x)
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FeatureListSparseTypes
(const DataTypeSlice & x)
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NcontextSparse
(int64 x)
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NfeatureListDense
(int64 x)
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NfeatureListSparse
(int64 x)
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Structs |
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tensorflow::
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Optional attribute setters for ParseSequenceExampleV2 . |
Public attributes
Public functions
ParseSequenceExampleV2
ParseSequenceExampleV2( const ::tensorflow::Scope & scope, ::tensorflow::Input serialized, ::tensorflow::Input debug_name, ::tensorflow::Input context_sparse_keys, ::tensorflow::Input context_dense_keys, ::tensorflow::Input context_ragged_keys, ::tensorflow::Input feature_list_sparse_keys, ::tensorflow::Input feature_list_dense_keys, ::tensorflow::Input feature_list_ragged_keys, ::tensorflow::Input feature_list_dense_missing_assumed_empty, ::tensorflow::InputList context_dense_defaults )
ParseSequenceExampleV2
ParseSequenceExampleV2( const ::tensorflow::Scope & scope, ::tensorflow::Input serialized, ::tensorflow::Input debug_name, ::tensorflow::Input context_sparse_keys, ::tensorflow::Input context_dense_keys, ::tensorflow::Input context_ragged_keys, ::tensorflow::Input feature_list_sparse_keys, ::tensorflow::Input feature_list_dense_keys, ::tensorflow::Input feature_list_ragged_keys, ::tensorflow::Input feature_list_dense_missing_assumed_empty, ::tensorflow::InputList context_dense_defaults, const ParseSequenceExampleV2::Attrs & attrs )
Public static functions
FeatureListDenseShapes
Attrs FeatureListDenseShapes( const gtl::ArraySlice< PartialTensorShape > & x )