tf.contrib.data.parse_example_dataset

A transformation that parses Example protos into a dict of tensors. (deprecated)

tf.contrib.data.parse_example_dataset(
    features, num_parallel_calls=1
)

Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use tf.data.experimental.parse_example_dataset(...).

Parses a number of serialized Example protos given in serialized. We refer to serialized as a batch with batch_size many entries of individual Example protos.

This op parses serialized examples into a dictionary mapping keys to Tensor and SparseTensor objects. features is a dict from keys to VarLenFeature, SparseFeature, and FixedLenFeature objects. Each VarLenFeature and SparseFeature is mapped to a SparseTensor, and each FixedLenFeature is mapped to a Tensor. See tf.io.parse_example for more details about feature dictionaries.

Args
features	A dict mapping feature keys to FixedLenFeature, VarLenFeature, and SparseFeature values.
num_parallel_calls	(Optional.) A tf.int32 scalar tf.Tensor, representing the number of parsing processes to call in parallel.

Returns
A dataset transformation function, which can be passed to tf.data.Dataset.apply.

Raises
ValueError	if features argument is None.