tf.contrib.layers.parse_feature_columns_from_sequence_examples

Parses tf.SequenceExamples to extract tensors for given FeatureColumns.

tf.contrib.layers.parse_feature_columns_from_sequence_examples(
    serialized, context_feature_columns, sequence_feature_columns, name=None,
    example_name=None
)

Args
serialized	A scalar (0-D Tensor) of type string, a single serialized SequenceExample proto.
context_feature_columns	An iterable containing the feature columns for context features. All items should be instances of classes derived from _FeatureColumn. Can be None.
sequence_feature_columns	An iterable containing the feature columns for sequence features. All items should be instances of classes derived from _FeatureColumn. Can be None.
name	A name for this operation (optional).
example_name	A scalar (0-D Tensor) of type string (optional), the names of the serialized proto.

Returns
A tuple consisting of (context_features, sequence_features) context_features: a dict mapping FeatureColumns from context_feature_columns to their parsed Tensors/SparseTensors. sequence_features: a dict mapping FeatureColumns from sequence_feature_columns to their parsed Tensors/SparseTensors.