tf.data.experimental.parse_example_dataset
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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.
|
Raises |
|---|
ValueError
|
if features argument is None.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.data.experimental.parse_example_dataset\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/data/experimental/parse_example_dataset) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/data/experimental/ops/parsing_ops.py#L101-L146) |\n\nA transformation that parses `Example` protos into a `dict` of tensors.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.data.experimental.parse_example_dataset`](/api_docs/python/tf/data/experimental/parse_example_dataset), \\`tf.compat.v2.data.experimental.parse_example_dataset\\`\n\n\u003cbr /\u003e\n\n tf.data.experimental.parse_example_dataset(\n features, num_parallel_calls=1\n )\n\nParses a number of serialized `Example` protos given in `serialized`. We refer\nto `serialized` as a batch with `batch_size` many entries of individual\n`Example` protos.\n\nThis op parses serialized examples into a dictionary mapping keys to `Tensor`\nand `SparseTensor` objects. `features` is a dict from keys to `VarLenFeature`,\n`SparseFeature`, and `FixedLenFeature` objects. Each `VarLenFeature`\nand `SparseFeature` is mapped to a `SparseTensor`, and each\n`FixedLenFeature` is mapped to a `Tensor`. See [`tf.io.parse_example`](../../../tf/io/parse_example) for more\ndetails about feature dictionaries.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `features` | A `dict` mapping feature keys to `FixedLenFeature`, `VarLenFeature`, and `SparseFeature` values. |\n| `num_parallel_calls` | (Optional.) A [`tf.int32`](../../../tf#int32) scalar [`tf.Tensor`](../../../tf/Tensor), representing the number of parsing processes to call in parallel. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A dataset transformation function, which can be passed to [`tf.data.Dataset.apply`](../../../tf/data/Dataset#apply). ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|--------------|-------------------------------|\n| `ValueError` | if features argument is None. |\n\n\u003cbr /\u003e"]]
TensorFlow 2 version
View source on GitHub