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,
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.
Args |
|---|
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.
|
Raises |
|---|
ValueError
|
if features argument is None.
|
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Last updated 2020-10-01 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]
TensorFlow 1 version
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