tf.data.experimental.parse_example_dataset(
features,
num_parallel_calls=1
)
Defined in tensorflow/python/data/experimental/ops/parsing_ops.py.
A transformation that parses Example protos into a dict of tensors.
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.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.