tf.data.experimental.parse_example_dataset

TensorFlow 1 version View source on GitHub

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

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

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, SparseTensor, and RaggedTensor objects. features is a dict from keys to VarLenFeature, RaggedFeature, SparseFeature, and FixedLenFeature objects. Each VarLenFeature and SparseFeature is mapped to a SparseTensor; each RaggedFeature is mapped to a RaggedTensor; and each FixedLenFeature is mapped to a Tensor. See tf.io.parse_example for more details about feature dictionaries.

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

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

ValueError if features argument is None.