tensorflow::ops::ParseSequenceExample

#include <parsing_ops.h>

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

Summary

Arguments:

• scope: A Scope object
• serialized: A vector containing binary serialized SequenceExample protos.
• debug_name: A 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_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].
• feature_list_dense_missing_assumed_empty: A vector listing the FeatureList keys which may be missing from the SequenceExamples. If the associated FeatureList is missing, it is treated as empty. By default, any FeatureList not listed in this vector must exist in the SequenceExamples.
• context_sparse_keys: A list of Ncontext_sparse string Tensors (scalars). The keys expected in the Examples' features associated with context_sparse values.
• context_dense_keys: A list of Ncontext_dense string Tensors (scalars). The keys expected in the SequenceExamples' context features associated with dense values.
• feature_list_sparse_keys: A list of Nfeature_list_sparse string Tensors (scalars). The keys expected in the FeatureLists associated with sparse values.
• feature_list_dense_keys: A list of Nfeature_list_dense string Tensors (scalars). The keys expected in the SequenceExamples' feature_lists associated with lists of dense values.

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_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_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 feature_list_sparse_indices
• OutputList feature_list_sparse_values
• OutputList feature_list_sparse_shapes
• OutputList feature_list_dense_values
• OutputList feature_list_dense_lengths

Public attributes

::tensorflow::OutputList context_dense_values

::tensorflow::OutputList context_sparse_indices

::tensorflow::OutputList context_sparse_shapes

::tensorflow::OutputList context_sparse_values

::tensorflow::OutputList feature_list_dense_lengths

::tensorflow::OutputList feature_list_dense_values

::tensorflow::OutputList feature_list_sparse_indices

::tensorflow::OutputList feature_list_sparse_shapes

::tensorflow::OutputList feature_list_sparse_values

Operation operation

Public functions

 ParseSequenceExample(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input serialized,
  ::tensorflow::Input debug_name,
  ::tensorflow::InputList context_dense_defaults,
  const gtl::ArraySlice & feature_list_dense_missing_assumed_empty,
  const gtl::ArraySlice & context_sparse_keys,
  const gtl::ArraySlice & context_dense_keys,
  const gtl::ArraySlice & feature_list_sparse_keys,
  const gtl::ArraySlice & feature_list_dense_keys
)

 ParseSequenceExample(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input serialized,
  ::tensorflow::Input debug_name,
  ::tensorflow::InputList context_dense_defaults,
  const gtl::ArraySlice & feature_list_dense_missing_assumed_empty,
  const gtl::ArraySlice & context_sparse_keys,
  const gtl::ArraySlice & context_dense_keys,
  const gtl::ArraySlice & feature_list_sparse_keys,
  const gtl::ArraySlice & feature_list_dense_keys,
  const ParseSequenceExample::Attrs & attrs
)

Public static functions

Attrs ContextDenseShapes(
  const gtl::ArraySlice< PartialTensorShape > & x
)

Attrs ContextSparseTypes(
  const DataTypeSlice & x
)

Attrs FeatureListDenseShapes(
  const gtl::ArraySlice< PartialTensorShape > & x
)

Attrs FeatureListDenseTypes(
  const DataTypeSlice & x
)

Attrs FeatureListSparseTypes(
  const DataTypeSlice & x
)

Attrs NcontextDense(
  int64 x
)

Attrs NcontextSparse(
  int64 x
)

Attrs NfeatureListDense(
  int64 x
)

Attrs NfeatureListSparse(
  int64 x
)