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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 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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/data/experimental/parse_example_dataset