/TensorFlow 1.15


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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.io.parse_example for more details about feature dictionaries.

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.
A dataset transformation function, which can be passed to tf.data.Dataset.apply.
ValueError if features argument is None.

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Code samples licensed under the Apache 2.0 License.