tf.contrib.data.parse_example_dataset
Stay organized with collections
Save and categorize content based on your preferences.
A transformation that parses Example protos into a dict of tensors. (deprecated)
tf.contrib.data.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.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]
View source on GitHub